{"pageNumber":"323","pageRowStart":"8050","pageSize":"25","recordCount":68839,"records":[{"id":70200491,"text":"70200491 - 2018 - Forecasting for dry and wet avalanches during mixed rain and snow storm events","interactions":[],"lastModifiedDate":"2018-10-23T15:19:52","indexId":"70200491","displayToPublicDate":"2018-10-22T15:19:41","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Forecasting for dry and wet avalanches during mixed rain and snow storm events","docAbstract":"Natural wet slab avalanches release when rain or melt water decreases snowpack strength, and natural dry slab avalanches release when an increased load overcomes snowpack strength. This study investigates avalanche activity resulting from mixed rain and snow falling on a faceted snowpack. This scenario produced an extensive slab avalanche cycle in March 2018 in the mountains near Ketchum, Idaho, when a 24 hour storm deposited 50 to 65 mm of water. We investigate the contributions of the pre-existing snowpack structure and weather to avalanching, and suggest possible mechanisms for the observed slab avalanche activity. At upper elevations, expected widespread, 0.5 to 3 m deep, dry slab avalanche activity occurred on many aspects. However, at middle elevations (2300 m to 2700 m) near the fluctuating rain-snow line, a low frequency return period avalanche cycle occurred in a much smaller geographical area, and was concentrated around north-northwest aspects. This differs significantly from avalanches above this elevation that spanned all aspects. This scenario illustrates the challenges forecasting and communicating these events. In our experience, some avalanche cycles exist in a continuum of avalanche types that are not easily sorted into simple “wet” and “dry” categories. We discuss challenges in using current advisory and bulletin communication tools. Furthermore, it is possible that a changing climate will increase the frequency of mixed rain-snow events in areas with traditionally drier and colder climates. We believe the avalanche community will benefit from the refinement and development of tools and techniques to describe and forecast this challenging problem.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the International Snow Science Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop","conferenceLocation":"Innsbruck, Austria","language":"English","usgsCitation":"Savage, S., Peitzsch, E., Trautman, S., and VandenBos, B., 2018, Forecasting for dry and wet avalanches during mixed rain and snow storm events, in Proceedings of the International Snow Science Workshop, Innsbruck, Austria, p. 1040-1044.","productDescription":"5 p.","startPage":"1040","endPage":"1044","ipdsId":"IP-100778","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":358693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358591,"type":{"id":11,"text":"Document"},"url":"https://arc.lib.montana.edu/snow-science/objects/ISSW2018_O11.3.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a918e4b034bf6a7e4f9c","contributors":{"authors":[{"text":"Savage, Scott","contributorId":209938,"corporation":false,"usgs":false,"family":"Savage","given":"Scott","email":"","affiliations":[{"id":38032,"text":"U.S.D.A. Forest Service Sawtooth National Forest Avalanche Center, Ketchum, Idaho, USA","active":true,"usgs":false}],"preferred":false,"id":749146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peitzsch, Erich","contributorId":209941,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":749145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trautman, Simon","contributorId":209939,"corporation":false,"usgs":false,"family":"Trautman","given":"Simon","email":"","affiliations":[{"id":38033,"text":"U.S.D.A. Forest Service National Avalanche Center, Bozeman, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":749147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VandenBos, Benjamin","contributorId":209940,"corporation":false,"usgs":false,"family":"VandenBos","given":"Benjamin","email":"","affiliations":[{"id":38032,"text":"U.S.D.A. Forest Service Sawtooth National Forest Avalanche Center, Ketchum, Idaho, USA","active":true,"usgs":false}],"preferred":false,"id":749148,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200392,"text":"sir20185098 - 2018 - Geomorphic characteristics of Tenmile Creek, Montgomery County, Maryland, 2014–16","interactions":[],"lastModifiedDate":"2018-10-23T10:52:57","indexId":"sir20185098","displayToPublicDate":"2018-10-22T11:15:00","publicationYear":"2018","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":"2018-5098","title":"Geomorphic characteristics of Tenmile Creek, Montgomery County, Maryland, 2014–16","docAbstract":"

Data collected from April 2014 through September 2016 were used to assess geomorphic characteristics and geomorphic changes over time in a selected reach of Tenmile Creek, a small rural watershed near Clarksburg, Maryland. Longitudinal profiles of the channel bed, water surface, and bank features were developed from field surveys. Changes in cross-section geometry between field surveys were documented. Grain-size distributions for the channel bed were developed from pebble counts. Continuous-record streamflow and precipitation data were also collected in the Tenmile Creek watershed and used to supplement the geomorphic analyses.

The Rosgen system of stream classification was used to classify the stream channel according to morphological measurements of slope, entrenchment ratio, width-to-depth ratio, sinuosity, and median particle diameter of the channel materials. Boundary shear stress near the U.S. Geological Survey (USGS) streamflow-gaging station was assessed by using hydraulic variables computed from the cross-section surveys and slope measurements derived from crest-stage gages and temporary data loggers installed along the study reach.

Analysis of the longitudinal profiles indicated relatively small changes in the percentage and distribution of riffles, pools, and runs in the study reach between April 2014 and March 2015. More noticeable changes were observed during surveys conducted in March 2016 and September 2016. The channel-bed slope showed a net reduction over time from 0.0072 to 0.0040 feet per foot (ft/ft). The low-flow water-surface slope also showed a net reduction over time from 0.0065 to 0.0045 ft/ft. Net aggradation in the lower section of the study reach combined with net degradation in the upper section of the study reach contributed to the net reduction in channel-bed and water-surface slope. The large storm and resulting flood on July 30, 2016 was a major factor in observed changes in the longitudinal profiles between the March 2016 and September 2016 surveys.

Comparison of data from the cross-sectional surveys indicated vertical changes in all cross sections, with more extreme changes observed between surveys in the lower section of the study reach due in part to alternating periods of net storage and transport of sand. Lateral erosion was not a major factor in the study reach, with the exception of cross section Dd, where considerable lateral erosion was documented during the study period. The flood that resulted from the large storm on July 30, 2016 was a major factor in some of the vertical changes observed in the channel bed of the study reach cross sections.

Particle-size analyses of the channel bed from pebble counts indicated median particle diameters ranging from 15.5 millimeters (mm) to 23.1 mm, which is characterized as medium to coarse gravel. Sand percentages ranging from 3.4 percent to 16.4 percent of the total counts were observed over time. Net increases in storage of fine sediment in the reach were observed between April 2014 and March 2016, and a considerable reduction in storage was observed between March 2016 and September 2016.

The Tenmile Creek stream channel was classified as a C4 channel, based on morphological descriptions from the Rosgen system of stream classification. The C4 classification describes a single-thread channel with a slight entrenchment ratio; a moderate to high width-to-depth ratio; moderate to high sinuosity; a water-surface slope of less than 2 percent; and a median particle diameter in the gravel range of 2 to 64 mm.

The analysis of boundary shear stress indicated a range of 0.35 to 1.18 pounds per square foot for instantaneous streamflow ranging from 79 to 2,860 cubic feet per second during the study period. The relation between discharge and boundary shear stress for Tenmile Creek was compared to similar relations that were previously developed for Minebank Run, a small, urban watershed in the eastern section of the Piedmont Physiographic Province in Baltimore County, Md. that was physically restored during 2004–05. The comparison indicated a much flatter slope in the relation for Minebank Run in both its unrestored and restored conditions. This difference in the relations indicates that the erosive power in the urban watershed of Minebank Run is much more sensitive to increases in discharge magnitude than in the non-urban watershed of Tenmile Creek.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185098","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and the Montgomery County Department of Environmental Protection","usgsCitation":"Doheny, E.J., and Baker, S.M., 2018, Geomorphic characteristics of Tenmile Creek, Montgomery County, Maryland, 2014–16: U.S. Geological Survey Scientific Investigations Report 2018–5098, 34 p., https://doi.org/10.3133/sir20185098.","productDescription":"Report: viii, 34 p.; Data release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-090630","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":437714,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WW7GKQ","text":"USGS data release","linkHelpText":"Datasets from an assessment of geomorphic characteristics of Tenmile Creek, Montgomery County, Maryland, 2014-16"},{"id":358408,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5098/coverthb.jpg"},{"id":358410,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F7WW7GKQ","text":"USGS data release","description":"USGS data release","linkHelpText":"Datasets from an assessment of geomorphic characteristics of Tenmile Creek, Montgomery County, Maryland, 2014–16"},{"id":358409,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5098/sir20185098.pdf","text":"Report","size":"17.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5098"}],"country":"United States","state":"Maryland","county":"Montgomery County","otherGeospatial":"Tenmile Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.3356,\n 39.2075\n ],\n [\n -77.2786,\n 39.2075\n ],\n [\n -77.2786,\n 39.2492\n ],\n [\n -77.3356,\n 39.2492\n ],\n [\n -77.3356,\n 39.2075\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, MD-DE-DC Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2018-10-22","noUsgsAuthors":false,"publicationDate":"2018-10-22","publicationStatus":"PW","scienceBaseUri":"5c10a919e4b034bf6a7e4fac","contributors":{"authors":[{"text":"Doheny, Edward J. 0000-0002-6043-3241","orcid":"https://orcid.org/0000-0002-6043-3241","contributorId":209742,"corporation":false,"usgs":true,"family":"Doheny","given":"Edward J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, S. Matthew 0000-0002-7250-6321","orcid":"https://orcid.org/0000-0002-7250-6321","contributorId":209743,"corporation":false,"usgs":true,"family":"Baker","given":"S.","email":"","middleInitial":"Matthew","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748705,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200479,"text":"70200479 - 2018 - Ice wedge degradation and stabilization impacts water budgets and nutrient cycling in Arctic trough ponds","interactions":[],"lastModifiedDate":"2018-10-20T17:16:15","indexId":"70200479","displayToPublicDate":"2018-10-20T17:16:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Ice wedge degradation and stabilization impacts water budgets and nutrient cycling in Arctic trough ponds","docAbstract":"

Trough ponds are ubiquitous features of Arctic landscapes and an important component of freshwater aquatic ecosystems. Permafrost thaw causes ground subsidence, creating depressions that gather water, creating ponds. Permafrost thaw also releases solutes and nutrients, which may fertilize these newly formed ponds. We measured water budget elements and chloride, ammonium, and dissolved organic nitrogen (DON) across a chronosequence of trough ponds representing different stages of ice wedge degradation and stabilization. We developed a coupled hydrologic and biogeochemical model to explore how ice wedge degradation affects hydrology and nutrient availability in trough ponds in the advanced degradation stages (DAs), which are characterized by deep troughs with warmer temperatures relative to the other stages. DAs experienced greater evaporation than the other stages, and subsurface inflows entered the DAs from a wide area. Chloride accumulated in the ponds with time since thaw, implying that subsurface fluxes are delivering solutes from the thawing permafrost. Ammonium accumulated at high rates in the initial degradation stage and was seasonally depleted over the summer in all degradation stages. Ammonium trends in the DAs were consistent with high concentration inflows and in‐pond assimilation at rates between 0.37 and 2.0 mg N m−2 day−1. Seasonal DON trends indicated that the accumulation of recalcitrant organic matter may eventually limit aquatic ecosystem production and foster pond infilling. These results provide direct evidence of nutrient release from thawing permafrost and the utilization of these nutrients by Arctic trough pond ecosystems and highlight infilling as a mechanism by which Arctic surface waters may be lost

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004528","usgsCitation":"Koch, J.C., Jorgenson, M., Wickland, K.P., Kanevskiy, M.Z., and Striegl, R.G., 2018, Ice wedge degradation and stabilization impacts water budgets and nutrient cycling in Arctic trough ponds: Journal of Geophysical Research: Biogeosciences, v. 123, no. 8, p. 2604-2616, https://doi.org/10.1029/2018JG004528.","productDescription":"13 p.","startPage":"2604","endPage":"2616","ipdsId":"IP-092115","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":468302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004528","text":"Publisher Index Page"},{"id":358587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-29","publicationStatus":"PW","scienceBaseUri":"5c10a91ae4b034bf6a7e4fb8","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":749081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. Torre","contributorId":140457,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[{"id":13506,"text":"Alaska Ecoscience","active":true,"usgs":false}],"preferred":false,"id":749082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":749083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanevskiy, Mikhail Z.","contributorId":199153,"corporation":false,"usgs":false,"family":"Kanevskiy","given":"Mikhail","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":749084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":749085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200482,"text":"70200482 - 2018 - Findings and lessons learned from the assessment of the Mexico-United States transboundary San Pedro and Santa Cruz aquifers: The utility of social science in applied hydrologic research","interactions":[],"lastModifiedDate":"2019-01-28T08:58:24","indexId":"70200482","displayToPublicDate":"2018-10-20T17:04:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Findings and lessons learned from the assessment of the Mexico-United States transboundary San Pedro and Santa Cruz aquifers: The utility of social science in applied hydrologic research","docAbstract":"

Study Region

This study region encompasses the Transboundary San Pedro and Santa Cruz aquifers which are shared between the states of Sonora (Mexico) and Arizona (US). Special regional considerations include a semi-arid climate, basin-fill aquifers with predominantly montane recharge areas, economic drivers in the mining, trade, and military sectors, groundwater-dependent cities with expanding cones of depression, interbasin groundwater transfers, ground- and surface-water contamination, and protected aquatic and riparian habitats that act as significant migration corridors for hundreds of species, including some that are threatened and endangered.

Study Focus

We focus on lessons learned from the hydrologic assessment of the Transboundary San Pedro and Santa Cruz aquifers. We conducted the work, in two phases: (1) laying the groundwork and (2) implementation. The “laying the groundwork” phase consisted of binational meetings with stakeholders and key actors (agencies and individuals), and the development of an understanding of the physical, institutional, historical, and socio-political context. This led to signing of the binational Transboundary Aquifer Assessment Program (TAAP) agreement in 2009 and detailed the process for cooperation and coordination in the assessment of shared aquifers. The implementation phase began with an agreement to proceed with the study of four “focus” aquifers (Santa Cruz, San Pedro, Mesilla (Conejos-Médanos in Mexico), and Hueco Bolson (Bolsón del Hueco in Mexico)) and development of associated technical teams. Though we do include a brief discussion of the lessons learned from the physical science portion of the study, the results have been described and published elsewhere. The bulk of the paper instead focuses on the findings and lessons learned from the integration of social-science perspectives into a largely physical-science based program, since there is a growing recognition of the need for this type of approach especially in the management and assessment of transboundary aquifers.

New Hydrological Insights for the Region

The Sonora-Arizona effort succeeded because both countries were adequately represented, and because of flexibility of skills and ability of teams comprising both university and government scientists. Teams included social and earth scientists. Including the social sciences was critical to research design and implementation, and to addressing the cultural, institutional, and socio-political contexts of transboundary aquifer assessment. Significant components of the continuing implementation phase include strategic planning, data compilation and analysis, cross-border integration of datasets, geophysical and geochemical surveys, and internal, peer, and stakeholder engagement.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2018.08.002","usgsCitation":"Callegary, J.B., Megdal, S.B., Tapia Villasenor, E.M., Petersen-Perlman, J.D., Minjarez Sosa, I., Monreal, R., Gray, F., and Grijalva Noriega, F., 2018, Findings and lessons learned from the assessment of the Mexico-United States transboundary San Pedro and Santa Cruz aquifers: The utility of social science in applied hydrologic research: Journal of Hydrology: Regional Studies, v. 20, p. 60-73, https://doi.org/10.1016/j.ejrh.2018.08.002.","productDescription":"14 p.","startPage":"60","endPage":"73","ipdsId":"IP-089184","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":468304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2018.08.002","text":"Publisher Index Page"},{"id":358585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Sonora","otherGeospatial":"Transboundary San Pedro aquifer, transboundary Santa Cruz aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.3848876953125,\n 30.963479049959364\n ],\n [\n -109.742431640625,\n 30.963479049959364\n ],\n [\n -109.742431640625,\n 31.886886525780806\n ],\n [\n -111.3848876953125,\n 31.886886525780806\n ],\n [\n -111.3848876953125,\n 30.963479049959364\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91ae4b034bf6a7e4fbc","contributors":{"authors":[{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Megdal, Sharon B.","contributorId":203874,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","email":"","middleInitial":"B.","affiliations":[{"id":34969,"text":"University of Sonora","active":true,"usgs":false}],"preferred":false,"id":749138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tapia Villasenor, Elia Maria","contributorId":197572,"corporation":false,"usgs":false,"family":"Tapia Villasenor","given":"Elia","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":749139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen-Perlman, Jacob D.","contributorId":203873,"corporation":false,"usgs":false,"family":"Petersen-Perlman","given":"Jacob","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":749140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minjarez Sosa, Ismael","contributorId":197571,"corporation":false,"usgs":false,"family":"Minjarez Sosa","given":"Ismael","email":"","affiliations":[],"preferred":false,"id":749141,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monreal, R.","contributorId":168448,"corporation":false,"usgs":false,"family":"Monreal","given":"R.","email":"","affiliations":[],"preferred":false,"id":749142,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, F.","contributorId":16775,"corporation":false,"usgs":false,"family":"Gray","given":"F.","email":"","affiliations":[],"preferred":false,"id":749143,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grijalva Noriega, Francisco","contributorId":203875,"corporation":false,"usgs":false,"family":"Grijalva Noriega","given":"Francisco","email":"","affiliations":[{"id":34969,"text":"University of Sonora","active":true,"usgs":false}],"preferred":false,"id":749144,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265019,"text":"70265019 - 2018 - Zooplankton dynamics in the Cache Slough complex of the upper San Francisco Estuary","interactions":[],"lastModifiedDate":"2025-03-28T14:20:31.155907","indexId":"70265019","displayToPublicDate":"2018-10-19T09:17:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Zooplankton dynamics in the Cache Slough complex of the upper San Francisco Estuary","docAbstract":"

We studied abundance and dynamics of zooplankton in the tidal freshwater Cache Slough Complex (CSC) in the northern Delta of the San Francisco Estuary during June, July, and October 2015. We asked whether the CSC was an area of high zooplankton production that could act as a source region for open waters of the estuary. Abundance of the copepod Pseudodiaptomus forbesi was similar to that in freshwater reaches of the central and eastern Delta and higher than that in the adjacent Sacramento River. Growth rate of P. forbesi was higher than previously measured in large estuarine channels because of higher temperature and phytoplankton biomass in the CSC. Samples of P. forbesi examined with molecular techniques contained an unexpectedly high proportion of DNA from cyanobacteria and little DNA from more nutritious phytoplankton. We also examined tidal exchanges of phytoplankton biomass and copepods between Liberty Island, a shallow tidal lake within the CSC, and the adjacent southern Cache Slough, which links the CSC to the Sacramento River. We calculated zero net flux of phytoplankton over 127 days between June and October. The tidal flux of copepods, calculated using tidal flow from an in situ flow station and half-hourly sampling over three 24.8-hr tidal cycles, varied a great deal because of temporal patchiness and day/night variation in abundance. Overall, the tidal flux was indistinguishable from zero, while the tidally-averaged water flow (and therefore the net copepod flux) was always into the wetland. Our results show some promise for the CSC as a productive habitat for planktivorous fishes and as a laboratory for learning how to design future wetland restoration. However, we remain cautious about whether wetlands such as the CSC may export large quantities of food organisms that can support fishes in other regions of the estuary.

","language":"English","publisher":"University of California at Davis (eScholarship)","doi":"10.15447/sfews.2018v16iss3art4","usgsCitation":"Kimmerer, W., Ignoffo, T., Bemowski, B., Moderan, J., Holmes, A.E., and Bergamaschi, B.A., 2018, Zooplankton dynamics in the Cache Slough complex of the upper San Francisco Estuary: San Francisco Estuary and Watershed Science, v. 16, no. 3, 4, 25 p., https://doi.org/10.15447/sfews.2018v16iss3art4.","productDescription":"4, 25 p.","ipdsId":"IP-099213","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488730,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2018v16iss3art4","text":"Publisher Index Page"},{"id":483988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimmerer, Wim","contributorId":349907,"corporation":false,"usgs":false,"family":"Kimmerer","given":"Wim","affiliations":[{"id":83531,"text":"Estuary & Ocean Science Center, San Francisco State University, Tiburon, CA, USA","active":true,"usgs":false}],"preferred":false,"id":932322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ignoffo, Toni R.","contributorId":352890,"corporation":false,"usgs":false,"family":"Ignoffo","given":"Toni R.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":932323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemowski, Brooke","contributorId":352891,"corporation":false,"usgs":false,"family":"Bemowski","given":"Brooke","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":932324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moderan, Julien","contributorId":352892,"corporation":false,"usgs":false,"family":"Moderan","given":"Julien","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":932325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmes, Ann E.","contributorId":293911,"corporation":false,"usgs":false,"family":"Holmes","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":63551,"text":"Department of Animal Science, University of California Davis, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":932326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932327,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200452,"text":"70200452 - 2018 - Drought and fire in the western USA: Is climate attribution enough?","interactions":[],"lastModifiedDate":"2018-11-14T08:52:14","indexId":"70200452","displayToPublicDate":"2018-10-18T13:54:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5763,"text":"Current Climate Change Reports","active":true,"publicationSubtype":{"id":10}},"title":"Drought and fire in the western USA: Is climate attribution enough?","docAbstract":"

Purpose of Review

I sought to review the contributions of recent literature and prior foundational papers to our understanding of drought and fire. In this review, I summarize recent literature on drought and fire in the western USA and discuss research directions that may increase the utility of that body of work for twenty-first century application. I then describe gaps in the synthetic knowledge of drought-driven fire in managed ecosystems and use concepts from use-inspired research to describe potentially useful extensions of current work.

Recent Findings

Fire responses to climate, and specifically various kinds of drought, are clear, but vary widely with fuel responses to surplus water and drought at different timescales. Ecological and physical factors interact with human management and ignitions to create fire regime and landscape trajectories that challenge prediction.

Summary

The mechanisms by which the climate system affects regional droughts and how they translate to fire in the western USA need more attention to accelerate both forecasting and adaptation. However, projections of future fire activity under climate change will require integrated advances on both fronts to achieve decision-relevant modeling. Concepts from transdisciplinary research and coupled human-natural systems can help frame strategic work to address fire in a changing world.

","language":"English","publisher":"Springer","doi":"10.1007/s40641-018-0109-y","usgsCitation":"Littell, J., 2018, Drought and fire in the western USA: Is climate attribution enough?: Current Climate Change Reports, v. 4, no. 4, p. 396-406, https://doi.org/10.1007/s40641-018-0109-y.","productDescription":"11 p.","startPage":"396","endPage":"406","ipdsId":"IP-097143","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":358540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-09","publicationStatus":"PW","scienceBaseUri":"5bed4273e4b0b3fc5cf91c88","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":748941,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200467,"text":"70200467 - 2018 - Distinguishing brackish lacustrine from brackish marine deposits in the stratigraphic record: A case study from the late Miocene and early Pliocene Bouse Formation, Arizona and California, USA","interactions":[],"lastModifiedDate":"2018-10-18T13:42:31","indexId":"70200467","displayToPublicDate":"2018-10-18T13:42:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing brackish lacustrine from brackish marine deposits in the stratigraphic record: A case study from the late Miocene and early Pliocene Bouse Formation, Arizona and California, USA","docAbstract":"

Brackish marine and brackish continental environments are fundamentally different from a compositional perspective. Brackish water is often defined as having salinity lower than that of standard seawater but higher than that of freshwater, but less regard is given to the origin of the salts involved. The simple dilution of standard seawater by freshwater in a coastal or estuarine setting constitutes a brackish environment, but so do lakes where continental fresh water is impounded and becomes more saline through a variety of solute evolution pathways. The range of potential compositions of brackish lake water is diverse and includes water with “seawater-like” compositions. Isolated brackish lake environments located hundreds of kilometers inland can evolve towards sodium chloride-dominated, low alkalinityenvironments that mimic the composition of brackish seawater environments. These types of lakes can harbor a variety of continentally invasive but typically marine organisms, including but not limited to algae, foraminifers, mollusks, diatoms, and crustaceans. Distinguishing brackish marine from brackish lake environments in the geologic record can be difficult. In this paper, the enigmatic late Miocene and early Pliocene southern Bouse Formation of southern Arizona and California, USA, considered by many to represent a marine transgression along the lower Colorado River corridor, is discussed within a broad framework that incorporates hydrochemical, biogeographical, and species niche concepts. A brackish lake interpretation provides a powerful platform that can comprehensively account for the enigmatic mixed marine and continental fossil assemblage and possible tidal rhythmites that feature prominently in the southern Bouse Formation controversy. A review of the broader regional (paleo)environmental context for the southern Bouse supports a sodium chloride-dominated, low alkalinity, mildly brackish (10-5 ppt) Colorado River-fed lake depositional environment that was populated by an intriguing but predictable array of euryhaline, opportunistic, and continentally invasive marginal marine organisms.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2018.08.011","usgsCitation":"Bright, J., Cohen, A.S., and Starratt, S.W., 2018, Distinguishing brackish lacustrine from brackish marine deposits in the stratigraphic record: A case study from the late Miocene and early Pliocene Bouse Formation, Arizona and California, USA: Earth-Science Reviews, v. 185, p. 974-1003, https://doi.org/10.1016/j.earscirev.2018.08.011.","productDescription":"30 p.","startPage":"974","endPage":"1003","ipdsId":"IP-099327","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2018.08.011","text":"Publisher Index Page"},{"id":358534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117,\n 32\n ],\n [\n -113,\n 32\n ],\n [\n -113,\n 37.5\n ],\n [\n -117,\n 37.5\n ],\n [\n -117,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"185","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91be4b034bf6a7e4fc6","contributors":{"authors":[{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":749005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Andrew S.","contributorId":138496,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":749006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":749004,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200458,"text":"70200458 - 2018 - Identifying management-relevant research priorities for responding to disease-associated amphibian declines","interactions":[],"lastModifiedDate":"2018-10-18T12:16:57","indexId":"70200458","displayToPublicDate":"2018-10-18T12:13:58","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Identifying management-relevant research priorities for responding to disease-associated amphibian declines","docAbstract":"

A research priority can be defined as a knowledge gap that, if resolved, identifies the optimal course of conservation action. We (a group of geographically distributed and multidisciplinary research scientists) used tools from nominal group theory and decision analysis to collaboratively identify and prioritize information needs within the context of disease-associated amphibian decline, in order to develop a strategy that would support US management agency needs. We developed iterated influence diagrams to create and assess a unified research strategy. We illustrated a transparent process for identifying specific knowledge gaps in amphibian disease ecology relevant to environmental management, and then constructed a research plan to address these uncertainties. The resulting priorities include a need to: (1) understand the drivers of the community-disease relationship, (2) determine the mechanisms by which exposure to contaminants influence disease outcomes, (3) identify elements of terrestrial and aquatic habitats that stabilize host-pathogen dynamics, (4) discuss how metapopulations may be managed to reduce the speed and intensity of disease outbreaks, and (5) define the relationship between habitat management and the environmental and host microbiomes. Along with identifying research priorities for disease management, we present the details of the process used to develop a consensus plan for addressing disease-related declines in amphibians on federally managed lands of the United States.

","language":"English","publisher":"Elsevier ","doi":"10.1016/j.gecco.2018.e00441","usgsCitation":"Campbell Grant, E.H., Adams, M.J., Fisher, R.N., Grear, D.A., Halstead, B., Hossack, B.R., Muths, E.L., Richgels, K.L., Russell, R.E., Smalling, K.L., Waddle, J.H., Walls, S.C., and White, C.L., 2018, Identifying management-relevant research priorities for responding to disease-associated amphibian declines: Global Ecology and Conservation, v. 16, p. 1-9, https://doi.org/10.1016/j.gecco.2018.e00441.","productDescription":"article e00441; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-096337","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468307,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2018.e00441","text":"Publisher Index Page"},{"id":358527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91be4b034bf6a7e4fcc","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":748961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":748962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":748964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":748966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richgels, Katherine L. D. 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":151205,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","middleInitial":"L. D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748967,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748968,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748969,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":748970,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":748971,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748972,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70200466,"text":"70200466 - 2018 - Investigating home range, movement pattern, and habitat selection of Bar-headed Geese during breeding season at Qinghai Lake, China","interactions":[],"lastModifiedDate":"2018-10-18T12:08:21","indexId":"70200466","displayToPublicDate":"2018-10-18T12:08:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Investigating home range, movement pattern, and habitat selection of Bar-headed Geese during breeding season at Qinghai Lake, China","docAbstract":"

The Bar-headed Goose is an important species in Asia, both culturally and ecologically. While prior studies have shown Qinghai Lake supports one of the largest breeding areas for Bar-headed Geese, little is known regarding the species movement ecology during the breeding season. In this study, we examined Bar-headed Goose home range size within the breeding grounds at Qinghai Lake and documented their daily movement patterns and habitat selection. We also identified several key breeding sites surrounding Qinghai Lake. Our research provides valuable information on this sensitive species that could help develop the strategy for waterfowl conservation and disease control.

","language":"English","publisher":"MDPI","doi":"10.3390/ani8100182","usgsCitation":"Zheng, R., Smith, L.M., Prosser, D.J., Takekawa, J., Newman, S.H., Sullivan, J.D., Luo, Z., and Yan, B., 2018, Investigating home range, movement pattern, and habitat selection of Bar-headed Geese during breeding season at Qinghai Lake, China: Animals, v. 8, p. 1-13, https://doi.org/10.3390/ani8100182.","productDescription":"Article 182; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-099367","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani8100182","text":"Publisher Index Page"},{"id":358526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Qinghai Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 99.52789306640625,\n 36.45884507478879\n ],\n [\n 100.843505859375,\n 36.45884507478879\n ],\n [\n 100.843505859375,\n 37.298090424438506\n ],\n [\n 99.52789306640625,\n 37.298090424438506\n ],\n [\n 99.52789306640625,\n 36.45884507478879\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-18","publicationStatus":"PW","scienceBaseUri":"5c10a91be4b034bf6a7e4fce","contributors":{"authors":[{"text":"Zheng, Ruobing","contributorId":209870,"corporation":false,"usgs":false,"family":"Zheng","given":"Ruobing","email":"","affiliations":[{"id":27775,"text":"University of Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":748995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":748996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":748997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Scott H.","contributorId":199129,"corporation":false,"usgs":false,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":749000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":749001,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luo, Ze","contributorId":209872,"corporation":false,"usgs":false,"family":"Luo","given":"Ze","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":748998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yan, Baoping","contributorId":209873,"corporation":false,"usgs":false,"family":"Yan","given":"Baoping","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":748999,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201200,"text":"70201200 - 2018 - Mapping crop residue and tillage intensity using WorldView-3 satellite shortwave infrared residue indices","interactions":[],"lastModifiedDate":"2018-12-06T11:24:25","indexId":"70201200","displayToPublicDate":"2018-10-18T11:24:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping crop residue and tillage intensity using WorldView-3 satellite shortwave infrared residue indices","docAbstract":"

Crop residues serve many important functions in agricultural conservation including preserving soil moisture, building soil organic carbon, and preventing erosion. Percent crop residue cover on a field surface reflects the outcome of tillage intensity and crop management practices. Previous studies using proximal hyperspectral remote sensing have demonstrated accurate measurement of percent residue cover using residue indices that characterize cellulose and lignin absorption features found between 2100 nm and 2300 nm in the shortwave infrared (SWIR) region of the electromagnetic spectrum. The 2014 launch of the WorldView-3 (WV3) satellite has now provided a space-borne platform for the collection of narrow band SWIR reflectance imagery capable of measuring these cellulose and lignin absorption features. In this study, WorldView-3 SWIR imagery (14 May 2015) was acquired over farmland on the Eastern Shore of Chesapeake Bay (Maryland, USA), was converted to surface reflectance, and eight different SWIR reflectance indices were calculated. On-farm photographic sampling was used to measure percent residue cover at a total of 174 locations in 10 agricultural fields, ranging from plow-till to continuous no-till management, and these in situ measurements were used to develop percent residue cover prediction models from the SWIR indices using both polynomial and linear least squares regressions. Analysis was limited to agricultural fields with minimal green vegetation (Normalized Difference Vegetation Index < 0.3) due to expected interference of vegetation with the SWIR indices. In the resulting residue prediction models, spectrally narrow residue indices including the Shortwave Infrared Normalized Difference Residue Index (SINDRI) and the Lignin Cellulose Absorption Index (LCA) were determined to be more accurate than spectrally broad Landsat-compatible indices such as the Normalized Difference Tillage Index (NDTI), as determined by respective R2 values of 0.94, 0.92, and 0.84 and respective residual mean squared errors (RMSE) of 7.15, 8.40, and 12.00. Additionally, SINDRI and LCA were more resistant to interference from low levels of green vegetation. The model with the highest correlation (2nd order polynomial SINDRI, R2 = 0.94) was used to convert the SWIR imagery into a map of crop residue cover for non-vegetated agricultural fields throughout the imagery extent, describing the distribution of tillage intensity within the farm landscape. WorldView-3 satellite imagery provides spectrally narrow SWIR reflectance measurements that show utility for a robust mapping of crop residue cover.

","language":"English","publisher":"MDPI","doi":"10.3390/rs10101657","usgsCitation":"Hively, W.D., Lamb, B.T., Daughtry, C.S., Shermeyer, J., McCarty, G.W., and Quemada, M., 2018, Mapping crop residue and tillage intensity using WorldView-3 satellite shortwave infrared residue indices: Remote Sensing, v. 10, no. 10, p. 1-22, https://doi.org/10.3390/rs10101657.","productDescription":"Article 1657; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-090230","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":468309,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10101657","text":"Publisher Index Page"},{"id":437715,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7930SDB","text":"USGS data release","linkHelpText":"WorldView-3 satellite imagery and crop residue field data collection, Talbot County, MD, May 2015"},{"id":359980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Choptank River watershed","volume":"10","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-18","publicationStatus":"PW","scienceBaseUri":"5c0a4357e4b0815414d28132","contributors":{"authors":[{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":753190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamb, Brian T.","contributorId":211092,"corporation":false,"usgs":false,"family":"Lamb","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":753191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daughtry, Craig S. T.","contributorId":211093,"corporation":false,"usgs":false,"family":"Daughtry","given":"Craig","email":"","middleInitial":"S. T.","affiliations":[{"id":38179,"text":"USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":753192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shermeyer, Jacob 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":211095,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":753195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":753193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quemada, Miguel","contributorId":211094,"corporation":false,"usgs":false,"family":"Quemada","given":"Miguel","email":"","affiliations":[{"id":38180,"text":"School of Agricultural Engineering and CEIGRAM, Technical University of Madrid","active":true,"usgs":false}],"preferred":false,"id":753194,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215120,"text":"70215120 - 2018 - Growth and survival relationships of 71 tree species with nitrogen and sulfur deposition across the conterminous U.S.","interactions":[],"lastModifiedDate":"2020-10-08T14:22:55.777328","indexId":"70215120","displayToPublicDate":"2018-10-18T08:33:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Growth and survival relationships of 71 tree species with nitrogen and sulfur deposition across the conterminous U.S.","docAbstract":"

Atmospheric deposition of nitrogen (N) influences forest demographics and carbon (C) uptake through multiple mechanisms that vary among tree species. Prior studies have estimated the effects of atmospheric N deposition on temperate forests by leveraging forest inventory measurements across regional gradients in deposition. However, in the United States (U.S.), these previous studies were limited in the number of species and the spatial scale of analysis, and did not include sulfur (S) deposition as a potential covariate. Here, we present a comprehensive analysis of how tree growth and survival for 71 species vary with N and S deposition across the conterminous U.S. Our analysis of 1,423,455 trees from forest plots inventoried between 2000 and 2016 reveals that the growth and/or survival of the vast majority of species in the analysis (n = 66, or 93%) were significantly affected by atmospheric deposition. Species co-occurred across the conterminous U.S. that had decreasing and increasing relationships between growth (or survival) and N deposition, with just over half of species responding negatively in either growth or survival to increased N deposition somewhere in their range (42 out of 71). Averaged across species and conterminous U.S., however, we found that an increase in deposition above current rates of N deposition would coincide with a small net increase in tree growth (1.7% per Δ kg N ha-1 yr-1), and a small net decrease in tree survival (-0.22% per Δ kg N ha-1 yr-1), with substantial regional and among-species variation. Adding S as a predictor improved the overall model performance for 70% of the species in the analysis. Our findings have potential to help inform ecosystem management and air pollution policy across the conterminous U.S., and suggest that N and S deposition have likely altered forest demographics in the U.S.

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model","interactions":[],"lastModifiedDate":"2018-10-17T16:38:57","indexId":"70200442","displayToPublicDate":"2018-10-17T16:38:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"title":"Submerged aquatic vegetation mapping in coastal Louisiana through development of a spatial likelihood occurrence (SLOO) model","docAbstract":"

Determining the spatial distribution of coastal foundation species is essential to accurately determine restoration goals, predict the ecological effects of climate change, and develop habitat management strategies. Mapping the distribution of submerged aquatic vegetation (SAV) species assemblages, which provide important habitat resource and ecological services in Louisiana, has been difficult due to the dynamic nature of SAV occurrence and the limited water clarity across much of the coast. Species distribution models (SDMs) link ecological conditions species occurrence across landscapes, and can predict the distribution of species across un-sampled or hard to sample areas and support the development of habitat maps. To predict SAV distribution in coastal Louisiana, a SDM was developed and projected across the landscape to create a spatial likelihood of occurrence (SLOO) model describing the probability of SAV presence in aquatic habitats. SAV presence and absence data were examined from over 500 field observations in relation to physical and hydrologic variables, including exposure, turbidity, water level, and salinity. A binary logistic regression model (p < 0.0001) identified three significant predictors of SAV presence: mean winter salinity, exposure, and turbidity. As each of these variables increased, the probability of SAV presence in the summer growing season decreased. The spatial application of this SDM helps to predict the likelihood of occurrence across the coastal landscape, creating a valuable tool to describe un-sampled SAV habitat and estimate future changes in habitat availability.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2018.08.007","usgsCitation":"DeMarco, K., Couvillion, B., Brown, S., and La Peyre, M., 2018, Submerged aquatic vegetation mapping in coastal Louisiana through development of a spatial likelihood occurrence (SLOO) model: Aquatic Botany, v. 151, p. 87-97, https://doi.org/10.1016/j.aquabot.2018.08.007.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-094080","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468312,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquabot.2018.08.007","text":"Publisher Index Page"},{"id":358506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94,\n 28.75\n ],\n [\n -88.75,\n 28.75\n ],\n [\n -88.75,\n 30.5\n ],\n [\n -94,\n 30.5\n ],\n [\n -94,\n 28.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"151","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91ce4b034bf6a7e4fd3","contributors":{"authors":[{"text":"DeMarco, Kristin","contributorId":200003,"corporation":false,"usgs":false,"family":"DeMarco","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":748896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":146832,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","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":748897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Stuart","contributorId":209831,"corporation":false,"usgs":false,"family":"Brown","given":"Stuart","affiliations":[],"preferred":false,"id":748898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748895,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70200468,"text":"70200468 - 2018 - Mineral phase-element associations based on sequential leaching of ferromanganese crusts, Amerasia Basin Arctic Ocean","interactions":[],"lastModifiedDate":"2024-06-20T16:21:30.991801","indexId":"70200468","displayToPublicDate":"2018-10-17T13:39:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Mineral phase-element associations based on sequential leaching of ferromanganese crusts, Amerasia Basin Arctic Ocean","docAbstract":"

Ferromanganese (FeMn) crusts from Mendeleev Ridge, Chukchi Borderland, and Alpha Ridge, in the Amerasia Basin, Arctic Ocean, are similar based on morphology and chemical composition. The crusts are characterized by a two- to four-layered stratigraphy. The chemical composition of the Arctic crusts differs significantly from hydrogenetic crusts from elsewhere of global ocean by high mean Fe/Mn ratios, high As, Li, V, Sc, and Th concentrations, and high detrital contents. Here, we present element distributions through crust stratigraphic sections and element phase association using several complementary techniques such as SEM-EDS, LA-ICP-MS, and sequential leaching, a widely employed method of element phase association that dissolves mineral phases of different stability step-by-step: Exchangeable cations and Ca carbonates, Mn-oxides, Fe-hydroxides, and residual fraction. Sequential leaching shows that the Arctic crusts have higher contents of most elements characteristic of the aluminosilicate phase than do Pacific crusts. Elements have similar distributions between the hydrogenetic Mn and Fe phases in all the Arctic and Pacific crusts. The main host phases for the elements enriched in the Arctic crusts over Pacific crusts (Li, As, Th, and V) are the Mn-phase for Li and Fe-phase for As, Th, and V; those elements also have higher contents in the residual aluminosilicate phase. Thus, higher concentrations of Li, As, Th, and V likely occur in the dissolved and particulate phases in bottom waters where the Arctic crusts grow, which has been shown to be true for Sc, also highly enriched in the crusts. The phase distributions of elements within the crust layers is mostly consistent among the Arctic crusts, being somewhat different in element concentrations in the residual phase.

","language":"English","publisher":"MDPI","doi":"10.3390/min8100460","usgsCitation":"Konstantinova, N., Hein, J.R., Gartman, A., Mizell, K., Barrulas, P., Cherkashov, G., Mikhailik, P., and Khanchuk, A., 2018, Mineral phase-element associations based on sequential leaching of ferromanganese crusts, Amerasia Basin Arctic Ocean: Minerals, v. 8, no. 10, 460, 21 p., https://doi.org/10.3390/min8100460.","productDescription":"460, 21 p.","ipdsId":"IP-101273","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468313,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min8100460","text":"Publisher Index Page"},{"id":358533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amerasia basin, Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.28125,\n 70.25945200030638\n ],\n [\n 147.3046875,\n 70.25945200030638\n ],\n [\n 147.3046875,\n 77.98904862437391\n ],\n [\n -153.28125,\n 77.98904862437391\n ],\n [\n -153.28125,\n 70.25945200030638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-17","publicationStatus":"PW","scienceBaseUri":"5c10a91ce4b034bf6a7e4fd8","contributors":{"authors":[{"text":"Konstantinova, Natalia","contributorId":209876,"corporation":false,"usgs":false,"family":"Konstantinova","given":"Natalia","affiliations":[{"id":38016,"text":"Saint Petersburg State University and Institute for Geology and Mineral Resources of the Ocean, Saint Petersburg.","active":true,"usgs":false}],"preferred":false,"id":749007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":749008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":749009,"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":749010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrulas, Pedro","contributorId":209877,"corporation":false,"usgs":false,"family":"Barrulas","given":"Pedro","email":"","affiliations":[{"id":38017,"text":"The Laboratory HERCULES, University of Evora","active":true,"usgs":false}],"preferred":false,"id":749011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherkashov, Georgy","contributorId":209878,"corporation":false,"usgs":false,"family":"Cherkashov","given":"Georgy","affiliations":[{"id":38016,"text":"Saint Petersburg State University and Institute for Geology and Mineral Resources of the Ocean, Saint Petersburg.","active":true,"usgs":false}],"preferred":false,"id":749012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mikhailik, Pavel","contributorId":209879,"corporation":false,"usgs":false,"family":"Mikhailik","given":"Pavel","email":"","affiliations":[{"id":38018,"text":"Far East Geological Institute FEB RAS, Far East Federal University","active":true,"usgs":false}],"preferred":false,"id":749013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Khanchuk, Alexander","contributorId":209880,"corporation":false,"usgs":false,"family":"Khanchuk","given":"Alexander","affiliations":[{"id":38019,"text":"Far East Geological Institute FEB RAS","active":true,"usgs":false}],"preferred":false,"id":749014,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70196511,"text":"ofr20181055 - 2018 - Determination of representative uranium and selenium concentrations from groundwater, 2016, Homestake Mining Company Superfund site, Milan, New Mexico","interactions":[],"lastModifiedDate":"2018-10-17T07:33:40","indexId":"ofr20181055","displayToPublicDate":"2018-10-17T08:30:00","publicationYear":"2018","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":"2018-1055","title":"Determination of representative uranium and selenium concentrations from groundwater, 2016, Homestake Mining Company Superfund site, Milan, New Mexico","docAbstract":"

In 2016, the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, collected data on isotopes, age dating, and geochemistry including aqueous uranium concentrations of samples from 20 locations in the vicinity of the Homestake Mining Company Superfund site near Milan, New Mexico. The 20 sampled locations include 19 groundwater wells and 1 treatment plant for water used for injection into aquifers. At 6 of the 19 wells, multiple samples were collected by several different sampling methods, including passive, micropurge, and volumetric methods.

Aqueous uranium concentrations were adjusted on the basis of comparisons between three sampling methods (called sample adjustments). These adjustments were specific to passive sample results because they underestimated uranium concentrations compared with results from purge samples (micropurge and volumetric). Sample adjustments were also made on aqueous selenium concentrations from previously published data for passive sampler results following a similar procedure.

Aqueous uranium concentrations in dissolved and total form were adjusted from the original analytical values (called laboratory analytical adjustments) on the basis of a rigorous comparison to several external tests, including reruns and analysis by a different laboratory after accuracy issues were identified in data from the original laboratory. The original laboratory analytical results were found to be two to five times greater than historical concentrations at the same locations, which prompted further evaluation, as described in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181055","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Harte, P.T., Blake, J.M., and Becher, K.D., 2018, Determination of representative uranium and selenium concentrations from groundwater, 2016, Homestake Mining Company Superfund site, Milan, New Mexico: U.S. Geological Survey Open-File Report 2018–1055, 40 p., appendixes, https://doi.org/10.3133/ofr20181055.","productDescription":"Report: vii, 37 p.; Appendix; Data release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091402","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":355297,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1055/coverthb.jpg"},{"id":355299,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CR5RJS","text":"USGS data release","description":"USGS data release","linkHelpText":"Data Associated with Uranium Background Concentrations at Homestake Mining Company Superfund Site near Milan, New Mexico, July 2016 through October 2016 "},{"id":358281,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2018/1055/ofr20181055_app2.csv","text":"Appendix 2","size":"12.6 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"Original and adjusted aqueous uranium concentrations"},{"id":355298,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1055/ofr20181055.pdf","text":"Report","size":"6.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1055"}],"country":"United States","state":"New Mexico","city":"Milan","otherGeospatial":"Homestake Mining Company Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.8917,\n 35.2083\n ],\n [\n -107.8417,\n 35.2083\n ],\n [\n -107.8417,\n 35.275\n ],\n [\n -107.8917,\n 35.275\n ],\n [\n -107.8917,\n 35.2083\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey 331
Commerce Way, Suite 2
Pembroke, NH 03275

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2018-10-04","noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","scienceBaseUri":"5bc02f6fe4b0fc368eb53815","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":204183,"corporation":false,"usgs":true,"family":"Harte","given":"Philip T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blake, Johanna M. 0000-0003-4667-0096 jmtblake@usgs.gov","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":169698,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","email":"jmtblake@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becher, Kent 0000-0002-3947-0793 kdbecher@usgs.gov","orcid":"https://orcid.org/0000-0002-3947-0793","contributorId":3863,"corporation":false,"usgs":true,"family":"Becher","given":"Kent","email":"kdbecher@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":733328,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70233589,"text":"70233589 - 2018 - Metabolic capability and phylogenetic diversity of Mono Lake during a bloom of the eukaryotic phototroph Picocystis sp. strain ML","interactions":[],"lastModifiedDate":"2022-07-27T12:19:09.923897","indexId":"70233589","displayToPublicDate":"2018-10-17T07:13:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic capability and phylogenetic diversity of Mono Lake during a bloom of the eukaryotic phototroph Picocystis sp. strain ML","docAbstract":"
Algal blooms in lakes are often associated with anthropogenic eutrophication; however, they can occur without the human introduction of nutrients to a lake. A rare bloom of the alga Picocystis sp. strain ML occurred in the spring of 2016 at Mono Lake, a hyperalkaline lake in California, which was also at the apex of a multiyear-long drought. These conditions presented a unique sampling opportunity to investigate microbiological dynamics and potential metabolic function during an intense natural algal bloom. We conducted a comprehensive molecular analysis along a depth transect near the center of the lake from the surface to a depth of 25 m in June 2016. Across sampled depths, rRNA gene sequencing revealed that Picocystis-associated chloroplasts were found at 40 to 50% relative abundance, greater than values recorded previously. Despite high relative abundances of the photosynthetic oxygenic algal genus Picocystis, oxygen declined below detectable limits below a depth of 15 m, corresponding with an increase in microorganisms known to be anaerobic. In contrast to previously sampled years, both metagenomic and metatranscriptomic data suggested a depletion of anaerobic sulfate-reducing microorganisms throughout the lake's water column. Transcripts associated with photosystem I and II were expressed at both 2 m and 25 m, suggesting that limited oxygen production could occur at extremely low light levels at depth within the lake. Blooms of Picocystis appear to correspond with a loss of microbial activity such as sulfate reduction within Mono Lake, yet microorganisms may survive within the sediment to repopulate the lake water column as the bloom subsides.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.01171-18","usgsCitation":"Stamps, B.W., Nunn, H.S., Petryshyn, V., Oremland, R.S., Miller, L., Rosen, M., Bauer, K., Thompson, K.J., Tookmanian, E.M., Waldeck, A.R., Lloyd, S.J., Johnson, H.A., Stevenson, B.S., Berelson, W.M., Corsetti, F., and Spear, J.R., 2018, Metabolic capability and phylogenetic diversity of Mono Lake during a bloom of the eukaryotic phototroph Picocystis sp. strain ML: Applied and Environmental Microbiology, v. 84, no. 21, e01171-18, 15 p., https://doi.org/10.1128/AEM.01171-18.","productDescription":"e01171-18, 15 p.","ipdsId":"IP-098100","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.01171-18","text":"Publisher Index Page"},{"id":404485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.30328369140624,\n 37.859675659210005\n ],\n [\n -118.79791259765625,\n 37.859675659210005\n ],\n [\n -118.79791259765625,\n 38.190704293996504\n ],\n [\n -119.30328369140624,\n 38.190704293996504\n ],\n [\n -119.30328369140624,\n 37.859675659210005\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"21","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stamps, Blake W.","contributorId":176485,"corporation":false,"usgs":false,"family":"Stamps","given":"Blake","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":847488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nunn, Heather S","contributorId":293633,"corporation":false,"usgs":false,"family":"Nunn","given":"Heather","email":"","middleInitial":"S","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":847489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petryshyn, Victoria","contributorId":293634,"corporation":false,"usgs":false,"family":"Petryshyn","given":"Victoria","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":847490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":293635,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":847491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":847492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":224435,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":847493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Kohen","contributorId":293699,"corporation":false,"usgs":false,"family":"Bauer","given":"Kohen","email":"","affiliations":[],"preferred":false,"id":847623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Katherine J.","contributorId":293700,"corporation":false,"usgs":false,"family":"Thompson","given":"Katherine","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":847624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tookmanian, Elise M.","contributorId":293704,"corporation":false,"usgs":false,"family":"Tookmanian","given":"Elise","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":847625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Waldeck, Anna R.","contributorId":293705,"corporation":false,"usgs":false,"family":"Waldeck","given":"Anna","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":847499,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lloyd, Sean J","contributorId":293636,"corporation":false,"usgs":false,"family":"Lloyd","given":"Sean","email":"","middleInitial":"J","affiliations":[{"id":63349,"text":"California State University Fullerton","active":true,"usgs":false}],"preferred":false,"id":847494,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Hope A","contributorId":293637,"corporation":false,"usgs":false,"family":"Johnson","given":"Hope","email":"","middleInitial":"A","affiliations":[{"id":63349,"text":"California State University Fullerton","active":true,"usgs":false}],"preferred":false,"id":847495,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stevenson, Bradley S.","contributorId":176491,"corporation":false,"usgs":false,"family":"Stevenson","given":"Bradley","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":847496,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Berelson, William M","contributorId":293640,"corporation":false,"usgs":false,"family":"Berelson","given":"William","email":"","middleInitial":"M","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":847497,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Corsetti, Frank A","contributorId":293642,"corporation":false,"usgs":false,"family":"Corsetti","given":"Frank A","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":847498,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Spear, John R.","contributorId":176847,"corporation":false,"usgs":false,"family":"Spear","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":847626,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70199091,"text":"sir20185117 - 2018 - Three-dimensional seismic characterization of karst in the Floridan aquifer system, southeastern Miami-Dade County, Florida","interactions":[],"lastModifiedDate":"2018-10-17T11:23:28","indexId":"sir20185117","displayToPublicDate":"2018-10-16T13:51:45","publicationYear":"2018","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":"2018-5117","title":"Three-dimensional seismic characterization of karst in the Floridan aquifer system, southeastern Miami-Dade County, Florida","docAbstract":"

Two three-dimensional seismic surveys totaling 3.4 square miles were acquired in southeastern Miami-Dade County during 2015 as part of an ongoing broad regional investigation by the U.S. Geological Survey, in cooperation with the Miami-Dade Water and Sewer Department, that includes mapping and karst characterization of the Floridan aquifer system in southeastern Florida. Twenty columniform seismic-sag structures were identified in the three-dimensional seismic data acquired at the South Miami Heights study area in Miami-Dade County, Florida. The seismic-sag structures are commonly composed of a lower and upper seismic facies, where the lower facies is interpreted to be a high permeability column-shaped volume of intense karstification composed of faults, fractures, and collapsed caves, and the upper facies is interpreted to be a lower permeability column-shaped volume composed of sagging suprastratal reflections having little or no faulting, fracturing, or caves. The seismic-sag structures are columniform karst-collapse structures that formed by cave collapse or stoping (upward void migration caused primarily by the mechanical process of ceiling collapse) or both in carbonate rocks of the early Eocene Oldsmar Formation and in some cases in the lowermost part of the middle Eocene Avon Park Formation. Columniform subsidence and sagging of overburden succeeded karst collapse in the lower part of the structures. At the study area, there may be relatively higher potential for the columniform karst-collapse structures to provide cross-formational fluid migration upward from the Boulder Zone into the lower part of middle confining unit 2 as compared to a lower potential for cross-formational fluid migration from the upper part of middle confining unit 2 upward to the Upper Floridan aquifer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185117","collaboration":"Prepared in cooperation with the Miami-Dade County Water and Sewer Department","usgsCitation":"Cunningham, K.J., Dixon, J.F., Westcott, R.L., Norgard, S., and Walker, C., 2018, Three-dimensional seismic characterization of karst in the Floridan aquifer system, southeastern Miami-Dade County, Florida: U.S. Geological Survey Scientific Investigations Report 2018–5117, 39 p., https://doi.org/10.3133/sir20185117.","productDescription":"vii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-085156","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":358377,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5117/coverthb.jpg"},{"id":358378,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5117/sir20185117.pdf","text":"Report","size":"30.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5117"}],"country":"United States","state":"Florida","county":"Miami-Dade County","otherGeospatial":"Floridan Aquifer System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.40442943572998,\n 25.562574731286375\n ],\n [\n -80.37142753601074,\n 25.562574731286375\n ],\n [\n -80.37142753601074,\n 25.591607129189303\n ],\n [\n -80.40442943572998,\n 25.591607129189303\n ],\n [\n -80.40442943572998,\n 25.562574731286375\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2018-10-16","noUsgsAuthors":false,"publicationDate":"2018-10-16","publicationStatus":"PW","scienceBaseUri":"5c10a91ce4b034bf6a7e4fe3","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":744032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Joann F. 0000-0001-9200-6407 jdixon@usgs.gov","orcid":"https://orcid.org/0000-0001-9200-6407","contributorId":1756,"corporation":false,"usgs":true,"family":"Dixon","given":"Joann","email":"jdixon@usgs.gov","middleInitial":"F.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":744034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westcott, Richard L.","contributorId":207522,"corporation":false,"usgs":false,"family":"Westcott","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":744033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norgard, Sean","contributorId":207523,"corporation":false,"usgs":false,"family":"Norgard","given":"Sean","email":"","affiliations":[{"id":37551,"text":"Sky Valley Exploration","active":true,"usgs":false}],"preferred":false,"id":744035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, Cameron","contributorId":196553,"corporation":false,"usgs":false,"family":"Walker","given":"Cameron","email":"","affiliations":[],"preferred":false,"id":744036,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200366,"text":"70200366 - 2018 - Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands","interactions":[],"lastModifiedDate":"2018-10-15T15:33:10","indexId":"70200366","displayToPublicDate":"2018-10-15T15:32:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands","docAbstract":"

To inform sustainable energy development, it is important to understand the ecological effects of historical and current production practices and the persistence of those effects. The Williston Basin is one of North America's largest oil production areas and overlaps the Prairie Pothole Region, an area densely populated with wetlands that provide important wildlife habitat. Although historical disposal practices that released chloride-rich waters (brines) produced during oil extraction into the environment are no longer used, brine spills still occur frequently. We sampled 33 wetlands for three amphibian species in Montana and North Dakota during 2015–2017, primarily on National Wildlife Refuges, and used N-mixture models to determine how abundance varied with evidence of brine contamination. To provide insight into effects of historical versus contemporary contamination, we also estimated the association of well density and age with water quality and amphibian abundance. Abundance of boreal chorus frog (Pseudacris maculata) larvae declined most rapidly in response to increased chloride (range: 0.04–17,500 mg/L), followed by the northern leopard frog (Lithobates [Rana] pipiens) and barred tiger salamander (Ambystoma mavortium). Water quality and population- and community-level abundance of amphibians were more strongly related to nearby wells (≤800 m) installed before 1982 than to wells installed since 1982. These results suggest historical brine management practices were the primary driver of contamination and reduced amphibian abundance in wetlands we sampled, reflecting multi-decadal ecological effects. These persistent effects also underscore the critical need for tools to restore landscapes affected by brine contamination.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.10.007","usgsCitation":"Hossack, B.R., Smalling, K., Anderson, C.W., Preston, T.M., Cozzarelli, I.M., and Honeycutt, R.K., 2018, Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands: Biological Conservation, v. 228, p. 36-43, https://doi.org/10.1016/j.biocon.2018.10.007.","productDescription":"8 p.","startPage":"36","endPage":"43","ipdsId":"IP-097267","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":468320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.10.007","text":"Publisher Index Page"},{"id":358389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","volume":"228","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a91ee4b034bf6a7e4ff3","contributors":{"authors":[{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":204696,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":748563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":748565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Honeycutt, R. Ken 0000-0002-7157-7195 rhoneycutt@usgs.gov","orcid":"https://orcid.org/0000-0002-7157-7195","contributorId":156282,"corporation":false,"usgs":true,"family":"Honeycutt","given":"R.","email":"rhoneycutt@usgs.gov","middleInitial":"Ken","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":748566,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196396,"text":"sir20185039 - 2018 - Compilation and assessment of resource values and hazards to inform transportation planning and associated land-use planning","interactions":[],"lastModifiedDate":"2018-10-15T16:27:53","indexId":"sir20185039","displayToPublicDate":"2018-10-15T15:15:00","publicationYear":"2018","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":"2018-5039","title":"Compilation and assessment of resource values and hazards to inform transportation planning and associated land-use planning","docAbstract":"

Land-use planning has an important role in local, regional, State, and Federal land management, and planning efforts can benefit from consistent, spatially explicit information that can help guide priorities and decisions. The credibility and relevance of information used to inform planning activities depends on the availability of consistent information about the resources and values of interest or concern within the planning area. To support long-range transportation planning and other regional land-use planning efforts, the U.S. Geological Survey gathered, processed, interpreted, and compiled spatial datasets representing a wide range of information on terrestrial and aquatic ecosystem condition and importance, cultural (historical) features and places, and natural hazards. This report describes the spatial data compiled to represent natural landscape conditions (including social, cultural, and natural attributes) to estimate the potential importance of lands for wildlife, wild habitats, recreation, and conservation based on abundance of species, habitats, land and water conditions, and conservation designations. Abundance of resources, including the potential number of species, presence of important habitats and protected areas, and proximity to particular features or habitats, indicates the potential sensitivity of the natural landscape to land use, especially transportation networks. The source data, derived indices, and the methods for processing these data are described in this final report. The datasets referenced in the report are available from the U.S. Geological Survey (https://www.sciencebase.gov/catalog/ and https://doi.org/10.5066/F7MW2F8W) or the Central Federal Lands Highway Division of the Office of Federal Lands Highway (https://flh.fhwa.dot.gov).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185039","collaboration":"Prepared in cooperation with the Office of Federal Lands Highway, Central Federal Lands Highway Division","usgsCitation":"Manier, D.J., and O’Donnell, M., 2018, Compilation and assessment of resource values and hazards to inform transportation planning and associated land-use planning: U.S. Geological Survey Scientific Investigations Report 2018–5039, 53 p., https://doi.org/10.3133/sir20185039.","productDescription":"Report: ix, 53 p.; Data release","onlineOnly":"Y","ipdsId":"IP-074504","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437718,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MW2F8W","text":"USGS data release","linkHelpText":"Compilation and Assessment of Resource Values and Hazards to Inform Transportation and Associated Land-use 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\"}}]}\n\n\n","contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-10-15","noUsgsAuthors":false,"publicationDate":"2018-10-15","publicationStatus":"PW","scienceBaseUri":"5c10a91ee4b034bf6a7e4ff6","contributors":{"authors":[{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":127553,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":732737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":748592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199174,"text":"ofr20181147 - 2018 - Groundwater-level, groundwater-temperature, and barometric-pressure data, July 2017 to February 2018, Hālawa Area, Oʻahu, Hawaiʻi","interactions":[],"lastModifiedDate":"2018-10-16T16:57:37","indexId":"ofr20181147","displayToPublicDate":"2018-10-15T12:39:25","publicationYear":"2018","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":"2018-1147","title":"Groundwater-level, groundwater-temperature, and barometric-pressure data, July 2017 to February 2018, Hālawa Area, Oʻahu, Hawaiʻi","docAbstract":"

The Red Hill Bulk Fuel Storage Facility, operated by the U.S. Navy and located in the Hālawa area, Oʻahu, Hawaiʻi, includes 20 underground storage tanks that can hold a total of 250 million gallons of fuel. In January 2014, the U.S. Navy notified the Hawaiʻi Department of Health and U.S. Environmental Protection Agency of release of an estimated 27,000 gallons of fuel from the Red Hill Bulk Fuel Storage Facility. In response to past and potential future fuel releases, data are needed to evaluate groundwater flow in the surrounding area. During July 2017–February 2018, the U.S. Geological Survey collected groundwater-level data at 24 sites near the Red Hill Bulk Fuel Storage Facility. At 14 of the 24 sites, groundwater-temperature data were also collected, and at 6 of the 24 sites, barometric-pressure data were collected. During the data-collection period, a regional aquifer test was conducted in coordination with the operators of three production wells in the area. The recorded water-level changes in response to planned withdrawal changes during December 2017–February 2018 can be used to improve understanding of the groundwater-flow system. The scope of this report is limited to a non-interpretive presentation of the data and a brief discussion of the factors affecting the water-level data.


","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181147","collaboration":"Prepared in cooperation with the U.S. Navy","usgsCitation":"Mitchell, J.N., and Oki, D.S., 2018, Groundwater-level, groundwater-temperature, and barometric-pressure data, July 2017 to February 2018, Hālawa Area, O‘ahu, Hawai‘i: U.S. Geological Survey Open-File Report 2018–1147, 35 p., https://doi.org/10.3133/ofr20181147.","productDescription":"vii, 35 p.","onlineOnly":"Y","ipdsId":"IP-100676","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":357692,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1147/ofr20181147.pdf","text":"Report","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1147"},{"id":357691,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1147/coverthb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hālawa Area, Oʻahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.9417,\n 21.35\n ],\n [\n -157.8833,\n 21.35\n ],\n [\n -157.8833,\n 21.4\n ],\n [\n -157.9417,\n 21.4\n ],\n [\n -157.9417,\n 21.35\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, 
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-10-15","noUsgsAuthors":false,"publicationDate":"2018-10-15","publicationStatus":"PW","scienceBaseUri":"5c10a91fe4b034bf6a7e5000","contributors":{"authors":[{"text":"Mitchell, Jackson N. 0000-0002-9289-6240 jnmitchell@usgs.gov","orcid":"https://orcid.org/0000-0002-9289-6240","contributorId":207734,"corporation":false,"usgs":true,"family":"Mitchell","given":"Jackson","email":"jnmitchell@usgs.gov","middleInitial":"N.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70198944,"text":"sir20185114 - 2018 - Flood-inundation maps for the South Platte River at Fort Morgan, Colorado, 2018","interactions":[],"lastModifiedDate":"2018-10-15T16:08:48","indexId":"sir20185114","displayToPublicDate":"2018-10-15T11:15:00","publicationYear":"2018","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":"2018-5114","title":"Flood-inundation maps for the South Platte River at Fort Morgan, Colorado, 2018","docAbstract":"

In 2017, the U.S. Geological Survey (USGS), in cooperation with the Colorado Water Conservation Board (CWCB), studied floods in the historic record to produce a library of flood-inundation maps for the South Platte River at Fort Morgan, Colorado. Digital flood-inundation maps for a 4.5-mile (7.2-kilometers) reach of the South Platte River at Fort Morgan from Morgan County Road 16 to Morgan County Road 20.5, were created. The flood-inundation maps depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the U.S. Geological Survey streamgage on the South Platte River at Fort Morgan (streamgage number 06759500).

Water-surface profiles were computed for the stream reach by means of a one-dimensional, step-backwater model. The September 15, 2013, and May 20, 2017, floods were used to calibrate the model, and the June 15, 2015, and May 29, 2017, floods were used to independently validate the model. Nine pressure transducers were deployed to record the stage at nine different locations along the reach and to document the floods of May 20 and 29, 2017, at the South Platte River at Fort Morgan streamgage.

The hydraulic model was then used to compute 16 water-surface profiles for flood stages at 1-foot (ft; 0.3-meter [m]) intervals referenced to the streamgage datum and ranging from 12 ft (3.66 m) or below bankfull to 27 ft (8.23 m), which is 1 ft (0.3 m) greater than the highest recorded water level (25.73 ft [7.84 m] on September 15, 2013) at the South Platte River at Fort Morgan streamgage during its period of record; the 2013 flood exceeds the major flood stage of 21.5 ft (6.55 m) by more than 4 ft (1.2 m), as defined by the National Weather Service.

The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from light detection and ranging data having a 0.37-ft [0.11-m] vertical accuracy and 3.28-ft [1.00-m] horizontal resolution) to delineate the area flooded for stages ranging from 12 to 27 ft (3.66 to 8.23 m).

These flood-inundation maps, in conjunction with the real-time stage data from the USGS streamgage on the South Platte River at Fort Morgan, are intended to help guide the general public in taking individual safety precautions and provide emergency management personnel with a tool to efficiently manage emergency flood operations and post flood recovery efforts.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185114","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Kohn, M.S., and Patton, T.T., 2018, Flood-inundation maps for the South Platte River at Fort Morgan, Colorado, 2018: U.S. Geological Survey Scientific Investigations Report 2018–5114, 14 p., https://doi.org/10.3133/sir20185114.","productDescription":"Report: vi, 14 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-097350","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":358286,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YA4STZ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Data and Surface-Water Model Archive for a Flood-Inundation Mapping Study of the South Platte River at Fort Morgan, Colorado, 2018"},{"id":358285,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XG9PN1","text":"USGS data release","description":"USGS data release","linkHelpText":"Cross-Section Data and Pressure Transducer Location of the South Platte River near Fort Morgan, Colorado, 2017"},{"id":358279,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5114/sir20185114.pdf","text":"Report","size":"11.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5114"},{"id":358287,"rank":5,"type":{"id":18,"text":"Project Site"},"url":"https://water.usgs.gov/osw/flood_inundation/","text":"Flood Inundation Mapper —","linkHelpText":"USGS Flood Inundation Mapping (FIM) Program"},{"id":358278,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5114/coverthb.jpg"}],"country":"United States","state":"Colorado","city":"Fort Morgan","otherGeospatial":"South Platte River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.851040005684,\n 40.244026096225\n ],\n [\n -103.760746121407,\n 40.244026096225\n ],\n [\n -103.760746121407,\n 40.2918348221745\n ],\n [\n -103.851040005684,\n 40.2918348221745\n ],\n [\n -103.851040005684,\n 40.244026096225\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-10-15","noUsgsAuthors":false,"publicationDate":"2018-10-15","publicationStatus":"PW","scienceBaseUri":"5c10a91fe4b034bf6a7e5002","contributors":{"authors":[{"text":"Kohn, Michael S. 0000-0002-5989-7700 mkohn@usgs.gov","orcid":"https://orcid.org/0000-0002-5989-7700","contributorId":4549,"corporation":false,"usgs":true,"family":"Kohn","given":"Michael","email":"mkohn@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patton, Thuy T.","contributorId":208972,"corporation":false,"usgs":false,"family":"Patton","given":"Thuy","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":748285,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200124,"text":"70200124 - 2018 - Variability of organic carbon content and the retention and release of trichloroethene in the rock matrix of a mudstone aquifer","interactions":[],"lastModifiedDate":"2018-10-12T13:56:40","indexId":"70200124","displayToPublicDate":"2018-10-12T13:56:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Variability of organic carbon content and the retention and release of trichloroethene in the rock matrix of a mudstone aquifer","docAbstract":"

Contaminants diffusing from fractures into the immobile porosity of the rock matrix are subject to prolonged residence times. Organic contaminants can adsorb onto organic carbonaceous materials in the matrix extending contaminant retention. An investigation of spatial variability of the fraction of organic carbon (foc) is conducted on samples of rock core from seven closely spaced boreholes in a mudstone aquifer contaminated with trichloroethene (TCE). A total of 378 samples were analyzed at depths between 14 and 36 m below land surface. Mudstone units associated with deep water deposition have the largest foc, with a maximum value of 0.0396, and units associated with shallow water deposition have the smallest foc. Even though foc correlates with depositional conditions, foc still varies over more than an order of magnitude in continuous mudstone layers between boreholes, and there is large variability in foc over short distances perpendicular to bedding. Simulations of diffusion and linear equilibrium adsorption of TCE using spatially variable foc in the rock matrix show order of magnitude variability in the adsorbed TCE over short distances in the matrix and residence times extending to hundreds of years following remediation in adjacent fractures. Simulations using average values of foc do not capture the range of TCE mass that can be retained in a rock matrix characterized by spatially variable foc. Bounds on TCE mass within the rock matrix can be obtained by simulations with spatially uniform values of focequal to the maximum and minimum values of foc for a given mudstone unit.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2018.09.001","usgsCitation":"Shapiro, A.M., and Brenneis, R.J., 2018, Variability of organic carbon content and the retention and release of trichloroethene in the rock matrix of a mudstone aquifer: Journal of Contaminant Hydrology, v. 217, p. 32-42, https://doi.org/10.1016/j.jconhyd.2018.09.001.","productDescription":"11 p.","startPage":"32","endPage":"42","ipdsId":"IP-097448","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468325,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2018.09.001","text":"Publisher Index Page"},{"id":437719,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75719Z7","text":"USGS data release","linkHelpText":"Organic and total carbon analyses of rock core collected from boreholes 83BR, 84BR, 85BR, 86BR, 87BR, 88BR, and 89BR in the mudstone underlying the former Naval Air Warfare Center, West Trenton, New Jersey"},{"id":358343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.81951236724854,\n 40.26534772331598\n ],\n [\n -74.80661630630493,\n 40.26534772331598\n ],\n [\n -74.80661630630493,\n 40.27682455737567\n ],\n [\n -74.81951236724854,\n 40.27682455737567\n ],\n [\n -74.81951236724854,\n 40.26534772331598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"217","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a920e4b034bf6a7e500e","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":748286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenneis, Rebecca J.","contributorId":209022,"corporation":false,"usgs":false,"family":"Brenneis","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":748287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199663,"text":"ofr20181153 - 2018 - Dissolved pesticide concentrations in the lower Sacramento River and its source waters, California, 2016","interactions":[],"lastModifiedDate":"2018-10-12T11:08:21","indexId":"ofr20181153","displayToPublicDate":"2018-10-11T14:32:47","publicationYear":"2018","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":"2018-1153","title":"Dissolved pesticide concentrations in the lower Sacramento River and its source waters, California, 2016","docAbstract":"
As part of a collaborative study designed to better understand water-quality conditions in the Sacramento River, surface-water samples were collected from the lower Sacramento River and five of its tributaries and then analyzed by the U.S. Geological Survey for a suite of 162 current-use pesticides and pesticide degradates. Samples were collected in May and October 2016 at 16 sites on the Sacramento River and its tributaries. Samples were analyzed for pesticide concentrations by using gas chromatography with mass spectrometry and liquid chromatography with tandem mass spectrometry laboratory methods.

A total of 27 pesticides and pesticide degradates were detected in the water samples collected during the study (12 herbicides, 9 insecticides, 5 fungicides, and 1 synergist). Two herbicides were detected in the suspended sediments filtered from the water samples. Pesticides were detected in 100 percent of the water samples, and mixtures of two or more pesticides were detected at all sites and in all but four samples. The pesticides detected most frequently in the May and October sampling periods were the herbicides hexazinone (detected in 88 percent of the water samples), and diuron (84 percent), and the fungicide azoxystrobin (84 percent). Pesticide concentrations ranged from below the method detection limits to 576 nanograms per liter (clomazone). All pesticides were detected at concentration levels lower than the U.S. Environmental Protection Agency’s aquatic life benchmarks (U.S. Environmental Protection Agency, 2017).

During the May sampling period, the fungicides boscalid and azoxystrobin (both 94 percent); the herbicides clomazone, diuron, and hexazinone (all 94 percent); thiobencarb (88 percent); and metolachlor (81 percent) were the most frequently detected compounds. During the October sampling period, the herbicides hexazinone (81 percent) and diuron (75 percent) and the herbicide degradates 3,4-dichloroaniline (75 percent) and N-3,4-dichlorophenyl-N-methyl-urea (50 percent), along with the fungicide azoxystrobin (75 percent) and the insecticide methoxyfenozide (63 percent), were the most frequently detected compounds.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181153","collaboration":"Prepared in cooperation with the Sacramento Regional County Sanitation District","usgsCitation":"Stout, S.M., Orlando, J.L., McWayne, M., Sanders, C., and Hladik, M., 2018, Dissolved pesticide concentrations in the lower Sacramento River and its source waters, California, 2016: U.S. Geological Survey Open-File Report 2018–1153, 24 p., https://doi.org/10.3133/ofr20181153.","productDescription":"vi, 24 p.","onlineOnly":"Y","ipdsId":"IP-096704","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358257,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1153/ofr20181153.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2018-1153"},{"id":358256,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1153/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lower Sacramento River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 38\n ],\n [\n -121.1667,\n 38\n ],\n [\n -121.1667,\n 39\n ],\n [\n -122,\n 39\n ],\n [\n -122,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-10-11","noUsgsAuthors":false,"publicationDate":"2018-10-11","publicationStatus":"PW","scienceBaseUri":"5bc02f6ce4b0fc368eb5380d","contributors":{"authors":[{"text":"Stout, Sean M. 0000-0002-6189-4066","orcid":"https://orcid.org/0000-0002-6189-4066","contributorId":204713,"corporation":false,"usgs":true,"family":"Stout","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":190788,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McWayne-Holmes, Megan 0000-0001-8069-6420","orcid":"https://orcid.org/0000-0001-8069-6420","contributorId":205359,"corporation":false,"usgs":true,"family":"McWayne-Holmes","given":"Megan","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":202646,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":202851,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746116,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70199489,"text":"ofr20181146 - 2018 - Material balance approach for determining oil saturation at the start of carbon dioxide enhanced oil recovery","interactions":[],"lastModifiedDate":"2018-10-11T12:03:47","indexId":"ofr20181146","displayToPublicDate":"2018-10-11T12:00:00","publicationYear":"2018","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":"2018-1146","title":"Material balance approach for determining oil saturation at the start of carbon dioxide enhanced oil recovery","docAbstract":"

Oil producers have been using enhanced oil recovery methods, including (1) thermal recovery for heavy oil and (2) carbon dioxide enhanced oil recovery (CO2-EOR) for medium or light oil, to maximize oil recovery from existing reservoirs. The CO2-EOR method is widely used for recovering additional oil after waterflood, which leaves behind a large volume of oil in the reservoir. Completing a CO2-EOR feasibility study requires values of various geologic, petrophysical, and reservoir properties, as well as production data. Most of the required data are available except for two critical parameters: (1) the oil saturation at the start of CO2-EOR and (2) the oil recovery factor. Several methods, including core analysis, open-hole and cased-hole well logging, well-to-well tracer tests, and material balance, have been deployed to determine the residual oil saturation after waterflood (at which the relative permeability to oil nears zero) or remaining oil saturation after waterflood, equal to the oil saturation at the start of CO2-EOR. This report presents the material balance approach, which is less expensive than other approaches and provides reasonably accurate values of oil saturation at the start of CO2-EOR, and therefore is more useful when assessing a large number of reservoirs.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181146","usgsCitation":"Verma, M.K., 2018, Material balance approach for determining oil saturation at the start of carbon dioxide enhanced oil recovery: U.S. Geological Survey Open-File Report 2018–1146, 14 p., https://doi.org/10.3133/ofr20181146.","productDescription":"v, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-091063","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":358130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1146/coverthb.jpg"},{"id":358131,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1146/ofr20181146.pdf","text":"Report","size":"527 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1146"}],"contact":"

Energy Resources Program
U.S. Geological Survey
12201 Sunrise Valley Drive
913 National Center
Reston, VA 20192
Email: gd-energyprogram@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-10-11","noUsgsAuthors":false,"publicationDate":"2018-10-11","publicationStatus":"PW","scienceBaseUri":"5bc02f70e4b0fc368eb53817","contributors":{"authors":[{"text":"Verma, Mahendra K. 0000-0002-1100-5099 mverma@usgs.gov","orcid":"https://orcid.org/0000-0002-1100-5099","contributorId":208003,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra","email":"mverma@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":745568,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70200025,"text":"70200025 - 2018 - A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic","interactions":[],"lastModifiedDate":"2018-11-14T09:00:10","indexId":"70200025","displayToPublicDate":"2018-10-11T11:23:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic","docAbstract":"

Eroding permafrost coasts are indicators and integrators of changes in the Arctic System as they are susceptible to the combined effects of declining sea ice extent, increases in open water duration, more frequent and impactful storms, sea-level rise, and warming permafrost. However, few observation sites in the Arctic have yet to link decadal-scale erosion rates with changing environmental conditions due to temporal data gaps. This study increases the temporal fidelity of coastal permafrost bluff observations using near-annual high spatial resolution (&lt;1 m) satellite imagery acquired between 2008 and 2017 for a 9-km segment of coastline at Drew Point, Beaufort Sea coast, Alaska. Our results show that mean annual erosion for the 2007 to 2016 decade was 17.2 m yr&lt;sup&gt;-1&lt;/sup&gt;, which is 2.5 times faster than historic rates, indicating that bluff erosion at this site is likely responding to changes in the Arctic System. In spite of a sustained increase in decadal-scale mean annual erosion rates, mean open water season erosion varied from 6.7 m yr&lt;sup&gt;-1&lt;/sup&gt; in 2010 to more than 22.0 m yr&lt;sup&gt;-1&lt;/sup&gt; in 2007, 2012, and 2016. This variability provided a range of coastal responses through which we explored the different roles of potential environmental drivers. The lack of significant correlations between mean open water season erosion and the environmental variables compiled in this study indicates that we may not be adequately capturing the environmental forcing factors, that the system is conditioned by long-term transient effects or extreme weather events rather than annual variability, or that other not yet considered factors may be responsible for the increased erosion occurring at Drew Point. Our results highlight an increase in erosion at Drew Point in the 21st century as well as the complexities associated with unraveling the factors responsible for changing coastal permafrost bluffs in the Arctic.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aae471","usgsCitation":"Jones, B., Farquharson, L.M., Baughman, C., Buzard, R., Arp, C.D., Grosse, G., Bull, D.L., Gunther, F., Nitze, I., Urban, F., Kasper, J., Frederick, J.M., Thomas, M.A., Jones, C., Mota, A., Dallimore, S., Tweedie, C.E., Maio, C.V., Mann, D.H., Richmond, B.M., Gibbs, A.E., Xiao, M., Sachs, T., Iwahana, G., Kanevskiy, M.Z., and Romanovsky, V.E., 2018, A decade of remotely sensed observations highlight complex processes linked to coastal permafrost bluff erosion in the Arctic: Environmental Research Letters, v. 13, no. 11, 13 p., https://doi.org/10.1088/1748-9326/aae471.","productDescription":"13 p.","ipdsId":"IP-100635","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":468327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aae471","text":"Publisher Index 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,{"id":70199161,"text":"sir20185118 - 2018 - Completion summary for borehole TAN-2312 at Test Area North, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2018-10-12T11:03:03","indexId":"sir20185118","displayToPublicDate":"2018-10-11T10:47:02","publicationYear":"2018","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":"2018-5118","title":"Completion summary for borehole TAN-2312 at Test Area North, Idaho National Laboratory, Idaho","docAbstract":"

In 2017, the U.S. Geological Survey, in cooperation with the U.S. Department of Energy, drilled and constructed borehole TAN-2312 for stratigraphic framework analyses and long-term groundwater monitoring of the eastern Snake River Plain aquifer at the Idaho National Laboratory in southeast Idaho. The location of borehole TAN-2312 was selected because it was downgradient from TAN and believed to be the outer extent of waste plumes originating from the TAN facility. Borehole TAN-2312 initially was cored to collect continuous geologic data, and then re-drilled to complete construction as a monitor well. The final construction for borehole TAN-2312 required 16- and 10-inch (in.) diameter carbon-steel well casing to 37 and 228 feet below land surface (ft BLS), respectively, and 9.9-in. diameter open-hole completion below the casing to 522 ft BLS. Depth to water is measured near 244 ft BLS. Following construction and data collection, a temporary submersible pump and water-level access line were placed near 340 ft BLS to allow for aquifer testing, for collecting periodic water samples, and for measuring water levels.

Borehole TAN-2312 was cored continuously, starting at the first basalt contact (about 37 ft BLS) to a depth of 568 ft BLS. Not including surface sediment (0–37 ft), recovery of basalt and sediment core at borehole TAN-2312 was about 93 percent; however, core recovery from 170 to 568 ft BLS was 100 percent. Based on visual inspection of core and geophysical data, basalt examined from 37 to 568 ft BLS consists of about 32 basalt flows that range from approximately 3 to 87 ft in thickness and 4 sediment layers with a combined thickness of approximately 76 ft. About 2 ft of total sediment was described for the saturated zone, observed from 244 to 568 ft BLS, near 296 and 481 ft BLS. Sediment described for the saturated zone were composed of fine-grained sand and silt with a lesser amount of clay. Basalt texture for borehole TAN-2312 generally was described as aphanitic, phaneritic, and porphyritic. Basalt flows varied from highly fractured to dense with high to low vesiculation.

Geophysical and borehole video logs were collected after core drilling and after final construction at borehole TAN-2312. Geophysical logs were examined synergistically with available core material to suggest zones where groundwater flow was anticipated. Natural gamma log measurements were used to assess sediment layer thickness and location. Neutron and gamma-gamma source logs were used to identify fractured areas for aquifer testing. Acoustic televiewer logs, fluid logs, and electromagnetic flow meter results were used to identify fractures and assess groundwater movement when compared against neutron measurements. Furthermore, gyroscopic deviation measurements were used to measure horizontal and vertical displacement for borehole TAN-2312.

After construction of borehole TAN-2312, a single-well aquifer test was completed September 27, 2017, to provide estimates of transmissivity and hydraulic conductivity. Estimates for transmissivity and hydraulic conductivity were 1.51×102 feet squared per day and 0.23 feet per day, respectively. During the 220-minute aquifer test, well TAN-2312 had about 23 ft of measured drawdown at sustained pumping rate of 27.2 gallons per minute. The transmissivity and hydraulic conductivity estimates for well TAN-2312 were lower than the values determined from previous aquifer tests in other wells near Test Area North.

Water samples were analyzed for cations, anions, metals, nutrients, volatile organic compounds, stable isotopes, and radionuclides. Water samples for most of the inorganic constituents showed concentrations near background levels for eastern regional groundwater. Water samples for stable isotopes of oxygen, hydrogen, and sulfur indicated some possible influence of irrigation on the water quality. The volatile organic compound data indicated that this well had some minor influence by wastewater disposal practices at Test Area North.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185118","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Twining, B.V., Bartholomay, R.C., and Hodges, M.K.V., 2018, Completion summary for borehole TAN-2312 at Test Area North, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2018-5118, DOE/ID-22247, 29 p., plus appendixes, https://doi.org/10.3133/sir20185118.","productDescription":"Report: vi, 29 p.; Appendixes","onlineOnly":"Y","ipdsId":"IP-090126","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":358288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5118/coverthb.jpg"},{"id":358289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5118/sir20185118.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5118"},{"id":358290,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5118/sir20185118_appendix01.pdf","text":"Appendix 1","size":"85 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5118 Appendix 1"},{"id":358291,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5118/sir20185118_appendix02.pdf","text":"Appendix 2","size":"27 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5118 Appendix 2"},{"id":358292,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5118/sir20185118_appendix03.pdf","text":"Appendix 3","size":"2.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5118 Appendix 3"},{"id":358293,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5118/sir20185118_appendix04.pdf","text":"Appendix 4","size":"138 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5118 Appendix 4"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.75,\n 43.8167\n ],\n [\n -112.6833,\n 43.8167\n ],\n [\n -112.6833,\n 43.8667\n ],\n [\n -112.75,\n 43.8667\n ],\n [\n -112.75,\n 43.8167\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-10-11","noUsgsAuthors":false,"publicationDate":"2018-10-11","publicationStatus":"PW","scienceBaseUri":"5bc02f73e4b0fc368eb53825","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Mary K. V. 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":3023,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K. V.","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}