{"pageNumber":"411","pageRowStart":"10250","pageSize":"25","recordCount":68873,"records":[{"id":70182755,"text":"70182755 - 2016 - Elevated bladder cancer in northern New England: The role of drinking water and arsenic","interactions":[],"lastModifiedDate":"2018-11-19T10:33:17","indexId":"70182755","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5036,"text":"Journal of the National Cancer Institute","active":true,"publicationSubtype":{"id":10}},"title":"Elevated bladder cancer in northern New England: The role of drinking water and arsenic","docAbstract":"<p><strong>Background:</strong> Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in the region.</p><p><strong>Methods:</strong> In a population-based case-control study in these three states, 1213 bladder cancer case patients and 1418 control subjects provided information on suspected risk factors. Log transformed arsenic concentrations were estimated by linear regression based on measurements in water samples from current and past homes. All statistical tests were two-sided.</p><p><strong>Results:</strong> Bladder cancer risk increased with increasing water intake ( <i>P</i><sub>trend</sub> = .003). This trend was statistically significant among participants with a history of private well use ( <i>P</i><sub>trend</sub> = .01). Among private well users, this trend was apparent if well water was derived exclusively from shallow dug wells (which are vulnerable to contamination from manmade sources, <i>P</i><sub>trend</sub> = .002) but not if well water was supplied only by deeper drilled wells ( <i>P</i><sub>trend</sub> = .48). If dug wells were used pre-1960, when arsenical pesticides were widely used in the region, heavier water consumers (&gt;2.2 L/day) had double the risk of light users (&lt;1.1 L/day, <i>P</i><sub>trend</sub> = .01). Among all participants, cumulative arsenic exposure from all water sources, lagged 40 years, yielded a positive risk gradient ( <i>P</i><sub>trend</sub> = .004); among the highest-exposed participants (97.5th percentile), risk was twice that of the lowest-exposure quartile (odds ratio = 2.24, 95% confidence interval = 1.29 to 3.89).</p><p><strong>Conclusions:</strong> Our findings support an association between low-to-moderate levels of arsenic in drinking water and bladder cancer risk in New England. In addition, historical consumption of water from private wells, particularly dug wells in an era when arsenical pesticides were widely used, was associated with increased bladder cancer risk and may have contributed to the New England excess.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jnci/djw099","usgsCitation":"Baris, D., Wadell, R., Freeman, L., Schwenn, M., Colt, J., Ayotte, J.D., Ward, M., Nuckols, J., Schned, A., Jackson, B., Clerkin, C., Rothman, N., Moore, L., Taylor, A., Robinson, G., Hosain, M.G., Armenti, C., McCoy, R., Samanic, C., Hoover, R., Fraumeni, J., Johnson, A., Karagas, M., and Silverman, D., 2016, Elevated bladder cancer in northern New England: The role of drinking water and arsenic: Journal of the National Cancer Institute, v. 108, no. 9, 9 p.; djw099, https://doi.org/10.1093/jnci/djw099.","productDescription":"9 p.; djw099","ipdsId":"IP-064069","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":470264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jnci/djw099","text":"Publisher Index Page"},{"id":336309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England","volume":"108","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-02","publicationStatus":"PW","scienceBaseUri":"58b69a3fe4b01ccd54ff3f84","contributors":{"authors":[{"text":"Baris, Dalsu","contributorId":184111,"corporation":false,"usgs":false,"family":"Baris","given":"Dalsu","email":"","affiliations":[],"preferred":false,"id":673585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wadell, Richard","contributorId":184112,"corporation":false,"usgs":false,"family":"Wadell","given":"Richard","email":"","affiliations":[],"preferred":false,"id":673586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Laura","contributorId":184113,"corporation":false,"usgs":false,"family":"Freeman","given":"Laura","affiliations":[],"preferred":false,"id":673587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwenn, Molly","contributorId":184114,"corporation":false,"usgs":false,"family":"Schwenn","given":"Molly","email":"","affiliations":[],"preferred":false,"id":673588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colt, Joanne","contributorId":184115,"corporation":false,"usgs":false,"family":"Colt","given":"Joanne","email":"","affiliations":[],"preferred":false,"id":673589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673584,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, Mary","contributorId":184116,"corporation":false,"usgs":false,"family":"Ward","given":"Mary","affiliations":[],"preferred":false,"id":673590,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nuckols, John","contributorId":184117,"corporation":false,"usgs":false,"family":"Nuckols","given":"John","affiliations":[],"preferred":false,"id":673591,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schned, Alan","contributorId":184118,"corporation":false,"usgs":false,"family":"Schned","given":"Alan","email":"","affiliations":[],"preferred":false,"id":673592,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jackson, Brian","contributorId":184119,"corporation":false,"usgs":false,"family":"Jackson","given":"Brian","affiliations":[],"preferred":false,"id":673593,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clerkin, Castine","contributorId":184120,"corporation":false,"usgs":false,"family":"Clerkin","given":"Castine","email":"","affiliations":[],"preferred":false,"id":673594,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rothman, Nathanial","contributorId":184121,"corporation":false,"usgs":false,"family":"Rothman","given":"Nathanial","email":"","affiliations":[],"preferred":false,"id":673595,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moore, Lee","contributorId":184122,"corporation":false,"usgs":false,"family":"Moore","given":"Lee","email":"","affiliations":[],"preferred":false,"id":673596,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Taylor, Anne","contributorId":184123,"corporation":false,"usgs":false,"family":"Taylor","given":"Anne","email":"","affiliations":[],"preferred":false,"id":673597,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Robinson, Gilpin","contributorId":184124,"corporation":false,"usgs":false,"family":"Robinson","given":"Gilpin","affiliations":[],"preferred":false,"id":673598,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hosain, Monawar G.","contributorId":184125,"corporation":false,"usgs":false,"family":"Hosain","given":"Monawar","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":673599,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Armenti, Carla","contributorId":184126,"corporation":false,"usgs":false,"family":"Armenti","given":"Carla","email":"","affiliations":[],"preferred":false,"id":673600,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McCoy, Richard","contributorId":184127,"corporation":false,"usgs":false,"family":"McCoy","given":"Richard","email":"","affiliations":[],"preferred":false,"id":673601,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Samanic, Claudine","contributorId":184128,"corporation":false,"usgs":false,"family":"Samanic","given":"Claudine","email":"","affiliations":[],"preferred":false,"id":673602,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hoover, Robert","contributorId":184129,"corporation":false,"usgs":false,"family":"Hoover","given":"Robert","email":"","affiliations":[],"preferred":false,"id":673603,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Fraumeni, Joseph","contributorId":184130,"corporation":false,"usgs":false,"family":"Fraumeni","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":673604,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Johnson, Alison","contributorId":184131,"corporation":false,"usgs":false,"family":"Johnson","given":"Alison","email":"","affiliations":[],"preferred":false,"id":673605,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Karagas, Margaret","contributorId":184132,"corporation":false,"usgs":false,"family":"Karagas","given":"Margaret","affiliations":[],"preferred":false,"id":673606,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Silverman, Debra","contributorId":184133,"corporation":false,"usgs":false,"family":"Silverman","given":"Debra","affiliations":[],"preferred":false,"id":673607,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70182746,"text":"70182746 - 2016 - Fluid-faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm","interactions":[],"lastModifiedDate":"2017-02-28T09:40:12","indexId":"70182746","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Fluid-faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm","docAbstract":"<p>An extended earthquake swarm occurred beneath southeastern Long Valley Caldera between May and November 2014, culminating in three magnitude 3.5 earthquakes and 1145 cataloged events on 26 September alone. The swarm produced the most prolific seismicity in the caldera since a major unrest episode in 1997-1998. To gain insight into the physics controlling swarm evolution, we used large-scale cross-correlation between waveforms of cataloged earthquakes and continuous data, producing precise locations for 8494 events, more than 2.5 times the routine catalog. We also estimated magnitudes for 18,634 events (~5.5 times the routine catalog), using a principal component fit to measure waveform amplitudes relative to cataloged events. This expanded and relocated catalog reveals multiple episodes of pronounced hypocenter expansion and migration on a collection of neighboring faults. Given the rapid migration and alignment of hypocenters on narrow faults, we infer that activity was initiated and sustained by an evolving fluid pressure transient with a low-viscosity fluid, likely composed primarily of water and CO<sub>2</sub> exsolved from underlying magma. Although both updip and downdip migration were observed within the swarm, downdip activity ceased shortly after activation, while updip activity persisted for weeks at moderate levels. Strongly migrating, single-fault episodes within the larger swarm exhibited a higher proportion of larger earthquakes (lower Gutenberg-Richter b value), which may have been facilitated by fluid pressure confined in two dimensions within the fault zone. In contrast, the later swarm activity occurred on an increasingly diffuse collection of smaller faults, with a much higher b value.</p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2015JB012719","usgsCitation":"Shelly, D.R., Ellsworth, W.L., and Hill, D.P., 2016, Fluid-faulting evolution in high definition: Connecting fault structure and frequency-magnitude variations during the 2014 Long Valley Caldera, California earthquake swarm: Journal of Geophysical Research, v. 212, no. 3, p. 1776-1795, https://doi.org/10.1002/2015JB012719.","productDescription":"20 p.","startPage":"1776","endPage":"1795","ipdsId":"IP-070982","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015jb012719","text":"Publisher Index Page"},{"id":336313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":" Long Valley Caldera","volume":"212","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-08","publicationStatus":"PW","scienceBaseUri":"58b69a3fe4b01ccd54ff3f88","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":673557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":673558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":673559,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182516,"text":"70182516 - 2016 - A manual to identify sources of fluvial sediment","interactions":[],"lastModifiedDate":"2017-07-25T09:52:55","indexId":"70182516","displayToPublicDate":"2017-02-27T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-16/210","title":"A manual to identify sources of fluvial sediment","docAbstract":"<p>Sediment is an important pollutant of concern that can degrade and alter aquatic habitat. A sediment budget is an accounting of the sources, storage, and export of sediment over a defined spatial and temporal scale. This manual focuses on field approaches to estimate a sediment budget. We also highlight the sediment fingerprinting approach to attribute sediment to different watershed sources. Determining the sources and sinks of sediment is important in developing strategies to reduce sediment loads to water bodies impaired by sediment. Therefore, this manual can be used when developing a sediment TMDL requiring identification of sediment sources.</p><p>The manual takes the user through the seven necessary steps to construct a sediment budget:</p><ol><li>Decision-making for watershed scale and time period of interest</li><li>Familiarization with the watershed by conducting a literature review, compiling background information and maps relevant to study questions, conducting a reconnaissance of the watershed</li><li>Developing partnerships with landowners and jurisdictions</li><li>Characterization of watershed geomorphic setting</li><li>Development of a sediment budget design</li><li>Data collection</li><li>Interpretation and construction of the sediment budget</li><li>Generating products (maps, reports, and presentations) to communicate findings.</li></ol><p>Sediment budget construction begins with examining the question(s) being asked and whether a sediment budget is necessary to answer these question(s). If undertaking a sediment budget analysis is a viable option, the next step is to define the spatial scale of the watershed and the time scale needed to answer the question(s). Of course, we understand that monetary constraints play a big role in any decision.</p><p>Early in the sediment budget development process, we suggest getting to know your watershed by conducting a reconnaissance and meeting with local stakeholders. The reconnaissance aids in understanding the geomorphic setting of the watershed and potential sources of sediment. Identifying the potential sediment sources early in the design of the sediment budget will help later in deciding which tools are necessary to monitor erosion and/or deposition at these sources. Tools can range from rapid inventories to estimate the sediment budget or quantifying sediment erosion, deposition, and export through more rigorous field monitoring. In either approach, data are gathered and erosion and deposition calculations are determined and compared to the sediment export with a description of the error uncertainty. Findings are presented to local stakeholders and management officials.</p><p>Sediment fingerprinting is a technique that apportions the sources of fine-grained sediment in a watershed using tracers or fingerprints. Due to different geologic and anthropogenic histories, the chemical and physical properties of sediment in a watershed may vary and often represent a unique signature (or fingerprint) for each source within the watershed. Fluvial sediment samples (the target sediment) are also collected and exhibit a composite of the source properties that can be apportioned through various statistical techniques. Using an unmixing-model and error analysis, the final apportioned sediment is determined.</p>","language":"English","publisher":"U.S. Environmental Protection Agency","publisherLocation":"Washington, D.C.","usgsCitation":"Gellis, A.C., Fitzpatrick, F., and Schubauer-Berigan, J., 2016, A manual to identify sources of fluvial sediment, xi, 106 p.","productDescription":"xi, 106 p.","numberOfPages":"117","ipdsId":"IP-078964","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":336244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336150,"type":{"id":15,"text":"Index Page"},"url":"https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=335394"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548bde4b01ccd54fddfa4","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":172245,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schubauer-Berigan, Joseph","contributorId":182408,"corporation":false,"usgs":false,"family":"Schubauer-Berigan","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":671373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175125,"text":"sim3362 - 2016 - Geologic map of Great Sand Dunes National Park, Colorado","interactions":[],"lastModifiedDate":"2018-08-06T11:12:20","indexId":"sim3362","displayToPublicDate":"2017-02-16T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3362","title":"Geologic map of Great Sand Dunes National Park, Colorado","docAbstract":"<p>Geologic mapping was begun after a range fire swept the area of what is now the Great Sand Dunes National Park in April 2000. The park spans an area of 437 square kilometers (or about 169 square miles), of which 98 percent is blanketed by sediment of Quaternary age, the Holocene and Pleistocene Epochs; hence, this geologic map of the Great Sand Dunes National Park is essentially a surficial geologic map. These surficial deposits are diverse and include sediment of eolian (windblown), alluvial (stream and sheetwash), palustrine (wetlands and marshes), lacustrine (lake), and mass-wasting (landslides) origin. Sediment of middle and late Holocene age, from about 8,000&nbsp;years ago to the present, covers about 80 percent of the park.</p><p>Fluctuations in groundwater level during Holocene time caused wetlands on the nearby lowland that bounds the park on the west to alternately expand and contract. These fluctuations controlled the stability or instability of eolian sand deposits on the downwind (eastern) side of the lowland. When groundwater level rose, playas became lakes, and wet or marshy areas formed in many places. When the water table rose, spring-fed streams filled their channels and valley floors with sediment. Conversely, when groundwater level fell, spring-fed streams incised their valley floors, and lakes, ponds, and marshes dried up and became sources of windblown sand.</p><p>Discharge in streams draining the west flank of the Sangre de Cristo Range is controlled primarily by snowmelt and flow is perennial until it reaches the mountain front, beyond which streams begin losing water at a high rate as the water soaks into the creek beds. Even streams originating in the larger drainage basins, such as Sand and Medano Creeks, generally do not extend much more than 4 km (about 2.5 miles) beyond where they exit the mountains.</p><p>The Great Sand Dunes contain the tallest dunes (maximum height about 750 feet, or 230 m) in North America. These dunes cover an area of 72 square kilometers (28 square miles) and contain an estimated 10–13 billion cubic meters (2.4 to 3.1 cubic miles) of sand. The dunes accumulated in an embayment that formed where the trend of the Sangre de Cristo Range changes from southeasterly to southwesterly. They owe their exceptional height to a combination of factors including range-front geometry, topography, an abundant sand supply from the nearby basin, a complex wind regime, and the Sangre de Cristo Range, which prevents continued eastward migration of dune sand deposited by the prevailing southwesterly and westerly winds. Although the sand on the surface of the Great Sand Dunes is of late Holocene age, most of this massive sand body is a complex of deposits that accumulated episodically for more than 130,000 years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3362","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Madole, R.F, VanSistine, D. Paco, and Romig, J.H., 2016, Geologic map of Great Sand Dunes National Park, Colorado (ver. 1.1, August 2018): U.S. Geological Survey Scientific Investigations Map 3362, 58 p., scale 1:35,000, https://doi.org/10.3133/sim3362.","productDescription":"Pamphlet: viii, 57 p.; Sheet: 62.0 x 52.0 inches; Supplemental Map; Metadata; Read Me; Spatial Data: Geodatabase, Shapefiles","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-063960","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":329723,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3362/sim3362_readme.txt","text":"Read Me","size":"5.85 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3362 Read Me"},{"id":335673,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3362/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 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data-mce-href=\"http://gec.cr.usgs.gov/\">http://gec.cr.usgs.gov</a>/</p>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-10-20","revisedDate":"2018-08-01","noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"5809d7c3e4b0f497e78fca58","contributors":{"authors":[{"text":"Madole, Richard F. 0000-0002-9081-570X madole@usgs.gov","orcid":"https://orcid.org/0000-0002-9081-570X","contributorId":1340,"corporation":false,"usgs":true,"family":"Madole","given":"Richard","email":"madole@usgs.gov","middleInitial":"F.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":644032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanSistine, D. Paco 0000-0003-1166-2547 dvansistine@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-2547","contributorId":4994,"corporation":false,"usgs":true,"family":"VanSistine","given":"D. Paco","email":"dvansistine@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":644033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romig, Joseph H.","contributorId":24704,"corporation":false,"usgs":true,"family":"Romig","given":"Joseph","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":651309,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182049,"text":"70182049 - 2016 - Effects of 2 fungicide formulations on microbial and macroinvertebrate leaf decomposition under laboratory conditions","interactions":[],"lastModifiedDate":"2017-02-15T14:48:18","indexId":"70182049","displayToPublicDate":"2017-02-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Effects of 2 fungicide formulations on microbial and macroinvertebrate leaf decomposition under laboratory conditions","docAbstract":"Aquatic fungi contribute significantly to the decomposition of leaves in streams, a key ecosystem service.  However, little is known about the effects of fungicides on aquatic fungi and macroinvertebrates involved with leaf decomposition. Red maple (Acer rubrum) leaves were conditioned in a stream to acquire microbes (bacteria and fungi), or leached in tap water (unconditioned) to simulate potential reduction of microbial biomass by fungicides. Conditioned leaves were exposed to fungicide formulations QUILT (azoxystrobin + propiconazole) or PRISTINE (boscalid + pyraclostrobin), in the presence and absence of the leaf shredder, Hyalella azteca (amphipods; 7-d old at start of exposures) for 14 d at 23 °C. QUILT formulation (~ 0.3 μg/L, 1.8 μg/L, 8 μg/L) tended to increase leaf decomposition by amphipods (not significant) without a concomitant increase in amphipod biomass, indicating potential increased consumption of leaves with reduced nutritional value. PRISTINE formulation (~ 33 μg/L) significantly reduced amphipod growth and biomass (p<0.05), effects similar to those observed with unconditioned controls. The significant suppressive effects of PRISTINE on amphipod growth, and the trend towards increased leaf decomposition with increasing QUILT concentration, indicate the potential for altered leaf decay in streams exposed to fungicides. Further work is needed to evaluate fungicide effects on leaf decomposition under conditions relevant to stream ecosystems, including temperature shifts and pulsed exposures to pesticide mixtures.","language":"English","publisher":"Wiley","doi":"10.1002/etc.3465","usgsCitation":"Elskus, A., Smalling, K., Hladik, M., and Kuivila, K., 2016, Effects of 2 fungicide formulations on microbial and macroinvertebrate leaf decomposition under laboratory conditions: Environmental Toxicology and Chemistry, v. 35, no. 11, p. 2834-2844, https://doi.org/10.1002/etc.3465.","productDescription":"11 p.","startPage":"2834","endPage":"2844","ipdsId":"IP-069807","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":335601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"35","issue":"11","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-25","publicationStatus":"PW","scienceBaseUri":"58a576bee4b057081a24ed2c","contributors":{"authors":[{"text":"Elskus, Adria 0000-0003-1192-5124 aelskus@usgs.gov","orcid":"https://orcid.org/0000-0003-1192-5124","contributorId":130,"corporation":false,"usgs":true,"family":"Elskus","given":"Adria","email":"aelskus@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.  0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":149769,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L. ","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":669389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":669390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":669391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70180971,"text":"70180971 - 2016 - Evaluation of chemical control for nonnative crayfish at a warm-water fish production hatchery","interactions":[],"lastModifiedDate":"2020-05-06T11:49:06.849631","indexId":"70180971","displayToPublicDate":"2017-02-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5290,"text":"Freshwater Crayfish","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of chemical control for nonnative crayfish at a warm-water fish production hatchery","docAbstract":"Invasive crayfish are known to displace native crayfish species, alter aquatic habitat and community structure and function, and are serious pests for fish hatcheries. White River Crawfish (WRC; Procambarus acutus) were inadvertently introduced to a warm-water fish hatchery in Missouri, USA, possibly in an incoming fish shipment. We evaluated the use of chemical control for crayfish to ensure incoming and outgoing fish shipments from hatcheries do not contain live crayfish. We conducted acute (≤24 hr) static toxicity tests to determine potency, dose-response, and selectivity of pesticides to WRC, Virile Crayfish (VC; Orconectes virilis), and Fathead Minnow (FHM; Pimephales promelas). Testing identified a formulation of cypermethrin (Cynoff®) as the most potent of five pesticides evaluated for toxicity to crayfish. A 4-hr exposure to a cypermethrin concentration of 100 μg · L-1 was found to kill 100% of juvenile and adult WRC; however, adult VC were not consistently killed. Concentrations of cypermethrin ≤100 μg · L-1 did not cause significant (>10%) mortality in juvenile FHM. Additional testing is needed to examine selectivity between crayfish and hatchery fish species. Biosecurity protocols at hatcheries that use chemical control have the potential to reliably prevent inadvertent transfers of live crayfish in fish shipments.","language":"English","publisher":"International Association of Astacology","doi":"10.5869/fc.2016.v22-1.81","usgsCitation":"Allert, A., McKee, M., DiStefano, R., and Fairchild, J., 2016, Evaluation of chemical control for nonnative crayfish at a warm-water fish production hatchery: Freshwater Crayfish, v. 22, no. 1, p. 81-93, https://doi.org/10.5869/fc.2016.v22-1.81.","productDescription":"13 p.","startPage":"81","endPage":"93","ipdsId":"IP-079129","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":335127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70193969,"text":"70193969 - 2016 - Streamflow ratings","interactions":[],"lastModifiedDate":"2017-11-16T13:18:51","indexId":"70193969","displayToPublicDate":"2017-02-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Streamflow ratings","docAbstract":"Autonomous direct determination of a continuous time series of streamflow\r\nis not economically feasible at present (2014). As such, surrogates are used to\r\nderive a continuous time series of streamflow. The derivation process entails\r\ndeveloping a streamflow rating, which can range from a simple, single-valued\r\nrelation between stage and streamflow to a fully dynamic one-dimensional\r\nmodel based on hydraulics of the flow.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of  Applied Hydrology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"McGraw-Hill","publisherLocation":"New York, NY","usgsCitation":"Holmes, R.R., 2016, Streamflow ratings, chap. <i>of</i> Handbook of  Applied Hydrology, p. 6-1-6-14.","productDescription":"14 p.","startPage":"6-1","endPage":"6-14","ipdsId":"IP-060480","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":348986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348999,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.mhprofessional.com/9780071835091-usa-handbook-of-applied-hydrology-second-edition-group"}],"edition":"Second edition","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc5ae4b06e28e9c23dab","contributors":{"editors":[{"text":"Singh, Vijay P.","contributorId":176741,"corporation":false,"usgs":false,"family":"Singh","given":"Vijay","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722435,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":722434,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70180021,"text":"70180021 - 2016 - Reconstructing surface ocean circulation with <sup>129</sup>I time series records from corals","interactions":[],"lastModifiedDate":"2017-01-23T12:38:00","indexId":"70180021","displayToPublicDate":"2017-01-23T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing surface ocean circulation with <sup>129</sup>I time series records from corals","docAbstract":"<p><span>The long-lived radionuclide </span><sup>129</sup><span>I (half-life: 15.7&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;yr) is well-known as a useful environmental tracer. At present, the global </span><sup>129</sup><span>I in surface water is about 1–2 orders of magnitude higher than pre-1960 levels. Since the 1990s, anthropogenic </span><sup>129</sup><span>I produced from industrial nuclear fuels reprocessing plants has been the primary source of </span><sup>129</sup><span>I in marine surface waters of the Atlantic and around the globe. Here we present four coral </span><sup>129</sup><span>I time series records from: 1) Con Dao and 2) Xisha Islands, the South China Sea, 3) Rabaul, Papua New Guinea and 4) Guam. The Con Dao coral </span><sup>129</sup><span>I record features a sudden increase in </span><sup>129</sup><span>I in 1959. The Xisha coral shows similar peak values for </span><sup>129</sup><span>I as the Con Dao coral, punctuated by distinct low values, likely due to the upwelling in the central South China Sea. The Rabaul coral features much more gradual </span><sup>129</sup><span>I increases in the 1970s, similar to a published record from the Solomon Islands. The Guam coral </span><sup>129</sup><span>I record contains the largest measured values for any site, with two large peaks, in 1955 and 1959. Nuclear weapons testing was the primary </span><sup>129</sup><span>I source in the Western Pacific in the latter part of the 20th Century, notably from testing in the Marshall Islands. The Guam 1955 peak and Con Dao 1959 increases are likely from the 1954 Castle Bravo test, and the Operation Hardtack I test is the most likely source of the 1959 peak observed at Guam. Radiogenic iodine found in coral was carried primarily through surface ocean currents. The coral </span><sup>129</sup><span>I time series data provide a broad picture of the surface distribution and depth penetration of </span><sup>129</sup><span>I in the Pacific Ocean over the past 60 years.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2016.09.016","usgsCitation":"Chang, C., Burr, G.S., Jull, A.J., Russell, J.L., Biddulph, D., White, L., Prouty, N.G., Chen, Y., Chuan-Chou Shen, Zhou, W., and Lam, D.D., 2016, Reconstructing surface ocean circulation with <sup>129</sup>I time series records from corals: Journal of Environmental Radioactivity, v. 165, p. 144-150, https://doi.org/10.1016/j.jenvrad.2016.09.016.","productDescription":"7 p.","startPage":"144","endPage":"150","ipdsId":"IP-075265","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470273,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvrad.2016.09.016","text":"Publisher Index Page"},{"id":333708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58872485e4b08aa8f945abbc","contributors":{"authors":[{"text":"Chang, Ching-Chih","contributorId":178566,"corporation":false,"usgs":false,"family":"Chang","given":"Ching-Chih","email":"","affiliations":[],"preferred":false,"id":659797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burr, George S.","contributorId":178567,"corporation":false,"usgs":false,"family":"Burr","given":"George","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":659798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jull, A. J. Timothy","contributorId":178568,"corporation":false,"usgs":false,"family":"Jull","given":"A.","email":"","middleInitial":"J. Timothy","affiliations":[],"preferred":false,"id":659799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Joellen L.","contributorId":178569,"corporation":false,"usgs":false,"family":"Russell","given":"Joellen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":659800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biddulph, Dana","contributorId":178570,"corporation":false,"usgs":false,"family":"Biddulph","given":"Dana","email":"","affiliations":[],"preferred":false,"id":659801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Lara","contributorId":178571,"corporation":false,"usgs":false,"family":"White","given":"Lara","email":"","affiliations":[],"preferred":false,"id":659802,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":659796,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chen, Yue-Gau","contributorId":178572,"corporation":false,"usgs":false,"family":"Chen","given":"Yue-Gau","email":"","affiliations":[],"preferred":false,"id":659803,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chuan-Chou Shen","contributorId":178573,"corporation":false,"usgs":false,"family":"Chuan-Chou Shen","affiliations":[],"preferred":false,"id":659804,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhou, Weijian","contributorId":178574,"corporation":false,"usgs":false,"family":"Zhou","given":"Weijian","email":"","affiliations":[],"preferred":false,"id":659805,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lam, Doan Dinh","contributorId":178575,"corporation":false,"usgs":false,"family":"Lam","given":"Doan","email":"","middleInitial":"Dinh","affiliations":[],"preferred":false,"id":659806,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70179989,"text":"70179989 - 2016 - Pseudotachylyte increases the post-slip strength of faults","interactions":[],"lastModifiedDate":"2017-01-23T09:23:18","indexId":"70179989","displayToPublicDate":"2017-01-23T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pseudotachylyte increases the post-slip strength of faults","docAbstract":"<p><span>Solidified frictional melts, or pseudotachylytes, are observed in exhumed faults from across the seismogenic zone. These unique fault rocks, and many experimental studies, suggest that frictional melting can be an important process during earthquakes. However, it remains unknown how melting affects the post-slip strength of the fault and why many exhumed faults do not contain pseudotachylyte. Analyses of triaxial stick-slip events on Westerly Granite (Rhode Island, USA) sawcuts at confining pressures from 50 to 400 MPa show evidence for frictional heating, including some events energetic enough to generate surface melt. Total and partial stress drops were observed with slip as high as 6.5 mm. We find that in dry samples following melt-producing stick slip, the shear failure strength increased as much as 50 MPa, while wet samples had &lt;10 MPa strengthening. Microstructural analysis indicates that the strengthening is caused by welding of the slip surface during melt quenching, suggesting that natural pseudotachylytes may also strengthen faults after earthquakes. These results predict that natural pseudotachylyte will inhibit slip reactivation and possibly generate stress heterogeneities along faults. Wet samples do not exhibit melt welding, possibly because of thermal pressurization of water reducing frictional heating during slip.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G38349.1","usgsCitation":"Proctor, B., and Lockner, D.A., 2016, Pseudotachylyte increases the post-slip strength of faults: Geology, v. 44, no. 12, p. 1003-1006, https://doi.org/10.1130/G38349.1.","productDescription":"4 p.","startPage":"1003","endPage":"1006","ipdsId":"IP-076629","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":333687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"58863a10e4b0cad700058b57","contributors":{"authors":[{"text":"Proctor, Brooks P. 0000-0002-4878-8728 bproctor@usgs.gov","orcid":"https://orcid.org/0000-0002-4878-8728","contributorId":178527,"corporation":false,"usgs":true,"family":"Proctor","given":"Brooks P.","email":"bproctor@usgs.gov","affiliations":[],"preferred":true,"id":659529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":659530,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176945,"text":"fs20163076 - 2016 - Groundwater quality in the Southeastern Coastal Plain aquifer system, southeastern United States","interactions":[],"lastModifiedDate":"2017-01-19T12:09:44","indexId":"fs20163076","displayToPublicDate":"2017-01-19T08:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3076","title":"Groundwater quality in the Southeastern Coastal Plain aquifer system, southeastern United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological&nbsp;Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are&nbsp;important sources of drinking water. The Southeastern Coastal Plain aquifer system&nbsp;constitutes one of the important areas being evaluated.&nbsp;One or more inorganic constituents with human-health benchmarks were detected at high concentrations in about 6 percent of the study area and at moderate concentrations in about 13 percent.&nbsp;One or more organic constituents with human-health benchmarks were detected at moderate concentrations in about 3 percent of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163076","collaboration":"National Water Quality Program<br/>National Water-Quality Assessment Project","usgsCitation":"Barlow, Jeannie R.B., and Belitz, Kenneth, 2016, Groundwater quality in the Southeastern Coastal Plain aquifer system, Southeastern United States:  U.S. Geological Survey Fact Sheet 2016-3076, 4 p., https://dx.doi.org/10.3133/fs20163076.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-074609","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":331273,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3076/coverthb.jpg"},{"id":331274,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3076/fs20163076.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3076"}],"country":"United States","otherGeospatial":"Southeastern Coastal Plain Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.59619140625,\n              33.90689555128866\n            ],\n            [\n              -79.6728515625,\n              34.84987503195418\n            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Benchmarks<br></li><li>Principal Aquifer Studies<br></li><li>Selected References<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-01-19","noUsgsAuthors":false,"publicationDate":"2017-01-19","publicationStatus":"PW","scienceBaseUri":"5881ded8e4b01192927d9f85","contributors":{"authors":[{"text":"Barlow, Jeannie","contributorId":177049,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","affiliations":[],"preferred":false,"id":650828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality 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,{"id":70178574,"text":"fs20163080 - 2016 - Groundwater quality in the Basin and Range Basin-Fill Aquifers, southwestern United States","interactions":[],"lastModifiedDate":"2017-01-19T11:42:30","indexId":"fs20163080","displayToPublicDate":"2017-01-19T08:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3080","title":"Groundwater quality in the Basin and Range Basin-Fill Aquifers, southwestern United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The Basin and Range basin-fill aquifers constitute one of the important areas being evaluated. One or more inorganic constituents with human-health benchmarks were detected at high concentrations in about 20 percent of the study area and at moderate concentrations in about 49 percent. Organic constituents were not detected at high concentrations in the study area. One or more organic constituents with human-health benchmarks were detected at moderate concentrations in about 3 percent of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163080","collaboration":"National Water Quality Program<br/>National Water-Quality Assessment Project","usgsCitation":"Musgrove, MaryLynn, and Belitz, Kenneth, 2016, Groundwater Quality in the Basin and Range basin-fill aquifers, Southwestern United States:  U.S. Geological Survey Fact Sheet 2016-3080, 4 p., https://dx.doi.org/10.3133/fs20163080.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-074624","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":331822,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3080/coverthb2.jpg"},{"id":331276,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3080/fs20163080.pdf","text":"Report","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3080"}],"country":"United States","state":"Arizona, California, Nevada, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.59912109375,\n              42.032974332441405\n            ],\n            [\n              -120.0146484375,\n              41.983994270935625\n            ],\n            [\n              -120.05859375,\n              38.95940879245423\n            ],\n            [\n              -118.27880859375001,\n              34.361576287484176\n            ],\n            [\n              -115.75195312499999,\n              32.65787573695528\n            ],\n            [\n              -114.67529296874999,\n              32.491230287947594\n            ],\n            [\n              -111.11572265625,\n              31.353636941500987\n            ],\n            [\n              -108.8525390625,\n              31.316101383495624\n            ],\n            [\n              -109.05029296875,\n              33.687781758439364\n            ],\n            [\n              -113.02734374999999,\n              36.87962060502676\n            ],\n            [\n              -111.533203125,\n              39.70718665682654\n            ],\n            [\n              -111.3134765625,\n              41.0130657870063\n            ],\n            [\n              -111.59912109375,\n              42.032974332441405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>NAWQA Chief Scientist<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive, MS 413<br> Reston, VA 20192-0002<br> <a href=\"http://water.usgs.gov/nawqa/\" target=\"blank\" data-mce-href=\"http://water.usgs.gov/nawqa/\">http://water.usgs.gov/nawqa/</a></p>","tableOfContents":"<ul><li>Background<br></li><li>Overview of Water Quality<br></li><li>Results: Groundwater Quality at the Depth Zone Used for Public Supply in the Basin and Range Basin-Fill Aquifers<br></li><li>Benchmarks For Evaluating Groundwater Quality<br></li><li>Spatial Distribution of Constituent Concentrations Above Human-Health Benchmarks<br></li><li>Principal Aquifer Studies<br></li><li>Selected References<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-01-19","noUsgsAuthors":false,"publicationDate":"2017-01-19","publicationStatus":"PW","scienceBaseUri":"5881ded5e4b01192927d9f7f","contributors":{"authors":[{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":654415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178566,"text":"fs20163078 - 2016 - Groundwater quality in the Northern Atlantic Coastal Plain aquifer system, eastern United States","interactions":[],"lastModifiedDate":"2017-01-19T11:51:25","indexId":"fs20163078","displayToPublicDate":"2017-01-19T08:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3078","title":"Groundwater quality in the Northern Atlantic Coastal Plain aquifer system, eastern United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The Northern Atlantic Coastal Plain aquifer system constitutes one of the important areas being evaluated.&nbsp;One or more inorganic constituents with human-health benchmarks were detected at high concentrations in about 15 percent of the study area and at moderate concentrations in about 17 percent. Organic constituents were not detected at high concentrations in the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163078","collaboration":"National Water Quality Program<br/>National Water-Quality Assessment Project","usgsCitation":"Lindsey, Bruce, and Belitz, Kenneth, 2016, Groundwater quality in the Northern Atlantic Coastal Plain aquifer system, Eastern United States:  U.S. Geological Survey Fact Sheet 2016-3078, 4 p., https://dx.doi.org/10.3133/fs20163078.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-075286","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":331257,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3078/fs20163078.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3078"},{"id":331819,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3078/coverthb2.jpg"}],"country":"United States","otherGeospatial":" Northern Atlantic Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.727783203125,\n              34.84987503195418\n            ],\n            [\n              -77.58544921874999,\n              36.54494944148322\n            ],\n            [\n              -77.442626953125,\n              38.51378825951165\n            ],\n            [\n              -76.959228515625,\n              38.90813299596705\n            ],\n            [\n              -76.5966796875,\n              39.33429742980725\n            ],\n            [\n              -75.83862304687499,\n              39.76632525654491\n            ],\n            [\n              -74.827880859375,\n              40.204050425113294\n            ],\n            [\n              -73.795166015625,\n              40.91351257612758\n            ],\n            [\n              -72.04833984375,\n              41.253032440653186\n            ],\n            [\n              -71.78466796874999,\n              41.02964338716638\n            ],\n            [\n              -72.476806640625,\n              40.79717741518766\n            ],\n            [\n              -73.948974609375,\n              40.43858586704331\n            ],\n            [\n              -74.06982421875,\n              39.70718665682654\n            ],\n            [\n              -74.86083984375,\n              38.87392853923629\n            ],\n            [\n              -75.860595703125,\n              36.958671131530316\n            ],\n            [\n              -76.2451171875,\n              35.003003395276714\n            ],\n            [\n              -78.01391601562499,\n              33.80653802509606\n            ],\n            [\n              -78.541259765625,\n              33.8247936182649\n            ],\n            [\n              -79.727783203125,\n              34.84987503195418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>NAWQA Chief Scientist<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive, MS 413<br> Reston, VA 20192-0002<br> <a href=\"http://water.usgs.gov/nawqa/\" target=\"blank\" data-mce-href=\"http://water.usgs.gov/nawqa/\">http://water.usgs.gov/nawqa/</a></p>","tableOfContents":"<ul><li>Background<br></li><li>Overview of Water Quality<br></li><li>Results: Groundwater Quality at the Depth Zone Used for Public Supply in the Northern Atlantic Coastal Plain Aquifers<br></li><li>Benchmarks For Evaluating Groundwater Quality<br></li><li>Constituents with High Concentration Vary by Aquifer and Region<br></li><li>Principal Aquifer Studies<br></li><li>Selected References<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-01-19","noUsgsAuthors":false,"publicationDate":"2017-01-19","publicationStatus":"PW","scienceBaseUri":"5881ded7e4b01192927d9f81","contributors":{"authors":[{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654398,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178559,"text":"fs20163079 - 2016 - Groundwater quality in the Valley and Ridge and Piedmont and Blue Ridge carbonate-rock aquifers, eastern United States","interactions":[],"lastModifiedDate":"2017-01-19T11:46:40","indexId":"fs20163079","displayToPublicDate":"2017-01-19T08:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3079","title":"Groundwater quality in the Valley and Ridge and Piedmont and Blue Ridge carbonate-rock aquifers, eastern United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological&nbsp;Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are&nbsp;important sources of drinking water. The Valley and Ridge and Piedmont and Blue Ridge carbonate-rock&nbsp;aquifers constitute two of the important areas being evaluated.&nbsp;One or more inorganic constituents with human-health benchmarks were detected at high concentrations in about 15 percent of the study area and at moderate concentrations in about 17 percent. Organic constituents were not detected at high concentrations in&nbsp;the study area. One or more organic constituents with human-health benchmarks were detected at moderate concentrations in about 2 percent of the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163079","collaboration":"National Water Quality Program<br/>National Water-Quality Assessment Project","usgsCitation":"Lindsey, Bruce, and Belitz, Kenneth, 2016, Groundwater quality in the Valley and Ridge and Piedmont and Blue Ridge carbonate-rock aquifers, Eastern United States:  U.S. Geological Survey Fact Sheet 2016-3079, 4 p., https://dx.doi.org/10.3133/fs20163079.","productDescription":"4 p.","ipdsId":"IP-069826","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":331247,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3079/fs20163079.pdf","text":"Report","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3079"},{"id":331821,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3079/coverthb2.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.16796875,\n              41.45919537950706\n            ],\n            [\n              -79.12353515625,\n              39.65645604812829\n            ],\n            [\n              -80.22216796875,\n              37.579412513438385\n            ],\n            [\n              -81.80419921875,\n              37.19533058280065\n            ],\n            [\n              -83.69384765625,\n              36.56260003738545\n            ],\n            [\n              -85.10009765625,\n              36.049098959065645\n            ],\n            [\n              -86.7919921875,\n              34.45221847282654\n            ],\n            [\n              -85.80322265625,\n              33.96158628979907\n            ],\n            [\n              -84.61669921875,\n              34.59704151614417\n            ],\n            [\n              -83.14453125,\n              35.496456056584165\n            ],\n            [\n              -79.95849609375,\n              36.84446074079564\n            ],\n            [\n              -78.9697265625,\n              37.94419750075404\n            ],\n            [\n              -77.89306640625,\n              39.757879992021756\n            ],\n            [\n              -76.13525390624999,\n              40.697299008636755\n            ],\n            [\n              -77.16796875,\n              41.45919537950706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>NAWQA Chief Scientist<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive, MS 413<br> Reston, VA 20192-0002<br> <a href=\"http://water.usgs.gov/nawqa/\" target=\"blank\" data-mce-href=\"http://water.usgs.gov/nawqa/\">http://water.usgs.gov/nawqa/</a></p>","tableOfContents":"<ul><li>Background<br></li><li>Overview of Water Quality<br></li><li>Results: Groundwater Quality at the Depth Zone Used for Public Supply in the Valley and Ridge and Piedmont and Blue Ridge Carbonate-Rock Aquifers<br></li><li>Benchmarks for Evaluating Groundwater Quality<br></li><li>High and Moderate Nitrate Concentrations Found Only in Northern States<br></li><li>Principal Aquifer Studies<br></li><li>Selected References<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-01-19","noUsgsAuthors":false,"publicationDate":"2017-01-19","publicationStatus":"PW","scienceBaseUri":"5881ded7e4b01192927d9f83","contributors":{"authors":[{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":654358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":654359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176944,"text":"fs20163077 - 2016 - Groundwater quality in the Coastal Lowlands aquifer system, south-central United States","interactions":[],"lastModifiedDate":"2020-09-18T19:59:25.751075","indexId":"fs20163077","displayToPublicDate":"2017-01-19T08:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3077","title":"Groundwater quality in the Coastal Lowlands aquifer system, south-central United States","docAbstract":"<p>Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water. The Coastal Lowlands aquifer system constitutes one of the important areas being evaluated.&nbsp;One or more inorganic&nbsp;constituents with human-health&nbsp;benchmarks were detected at high&nbsp;concentrations in about 12 percent&nbsp;of the study area and at moderate&nbsp;concentrations in about 18 percent.&nbsp;Organic constituents were not detected&nbsp;at high or moderate concentrations in&nbsp;the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163077","collaboration":"National Water Quality Program<br/>National Water-Quality Assessment Project","usgsCitation":"Barlow, Jeannie R.B., and Belitz, Kenneth, 2016, Groundwater quality in the Coastal Lowlands aquifer system, South-Central United States (ver. 1.1, September 2020):  U.S. Geological Survey Fact Sheet 2016-3077, 4 p., https://dx.doi.org/10.3133/fs20163077.","productDescription":"4 p.","ipdsId":"IP-074608","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":378455,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3077/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":331255,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3077/fs20163077_v1.1.pdf","text":"Report","size":"3.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3077"},{"id":331254,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3077/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Coastal Lowlands Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.15478515625,\n              30.315987718557867\n            ],\n            [\n              -86.17675781249999,\n              31.052933985705163\n            ],\n            [\n              -88.505859375,\n              31.87755764334002\n            ],\n            [\n              -90.8349609375,\n              32.47269502206151\n            ],\n            [\n              -93.779296875,\n              31.50362930577303\n            ],\n            [\n              -97.3828125,\n              29.7453016622136\n            ],\n            [\n              -99.052734375,\n              28.729130483430154\n            ],\n            [\n              -99.5361328125,\n              27.566721430409707\n            ],\n            [\n              -99.11865234374999,\n              26.41155054662258\n            ],\n            [\n              -97.44873046875,\n              25.878994400196202\n            ],\n            [\n              -97.03125,\n              26.05678288577881\n            ],\n            [\n              -97.36083984375,\n              27.31321389856826\n            ],\n            [\n              -96.416015625,\n              28.34306490482549\n            ],\n            [\n              -95.2734375,\n              28.86391842622456\n            ],\n            [\n              -94.28466796874999,\n              29.57345707301757\n            ],\n            [\n              -93.44970703125,\n              29.6880527498568\n            ],\n            [\n              -92.21923828124999,\n              29.516110386062277\n            ],\n            [\n              -91.03271484375,\n              29.132970130878636\n            ],\n            [\n              -90.15380859375,\n              29.094577077511826\n            ],\n            [\n              -89.09912109375,\n              28.92163128242129\n            ],\n            [\n              -88.857421875,\n              29.171348850951507\n            ],\n            [\n              -89.296875,\n              29.611670115197377\n            ],\n            [\n              -89.12109375,\n              30.259067203213018\n            ],\n            [\n              -87.47314453125,\n              30.183121842195515\n            ],\n            [\n              -86.15478515625,\n              30.315987718557867\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: January 19, 2017; Version 1.1: September 16, 2020","contact":"<p>NAWQA Chief Scientist<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive, MS 413<br> Reston, VA 20192-0002<br> <a href=\"http://water.usgs.gov/nawqa/\" target=\"blank\" data-mce-href=\"http://water.usgs.gov/nawqa/\">http://water.usgs.gov/nawqa/</a></p>","tableOfContents":"<ul><li>Background<br></li><li>Overview of Water Quality<br></li><li>Results: Groundwater Quality at the Depth Zone Used for Public Supply in the Coastal Lowlands Aquifers<br></li><li>Benchmarks for Evaluating Groundwater Quality<br></li><li>Spatial Distribution of Constituents in Concentrations Above Human-Health Benchmarks<br></li><li>Principal Aquifer Studies<br></li><li>Selected References<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-01-19","revisedDate":"2020-09-16","noUsgsAuthors":false,"publicationDate":"2017-01-19","publicationStatus":"PW","scienceBaseUri":"5881ded8e4b01192927d9f87","contributors":{"authors":[{"text":"Barlow, Jeannie R.B.","contributorId":33965,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"","middleInitial":"R.B.","affiliations":[],"preferred":false,"id":650826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":650827,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179719,"text":"70179719 - 2016 - Recent advances in understanding flow dynamics and transport of water-quality constituents in the Sacramento–San Joaquin River Delta","interactions":[],"lastModifiedDate":"2017-10-30T09:39:55","indexId":"70179719","displayToPublicDate":"2017-01-13T00:00:00","publicationYear":"2016","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":"Recent advances in understanding flow dynamics and transport of water-quality constituents in the Sacramento–San Joaquin River Delta","docAbstract":"This paper, part of the collection of research\ncomprising the State of Bay–Delta Science 2016,\ndescribes advances during the past decade in\nunderstanding flow dynamics and how water-quality\nconstituents move within California’s Sacramento–\nSan Joaquin River Delta (Delta). Water-quality\nconstituents include salinity, heat, oxygen, nutrients,\ncontaminants, organic particles, and inorganic\nparticles. These constituents are affected by water\ndiversions and other human manipulations of flow,\nand they greatly affect the quantity and quality of\nbenthic, pelagic, and intertidal habitat in the Delta.\nThe Pacific Ocean, the Central Valley watershed,\nhuman intervention, the atmosphere, and internal\nbiogeochemical processes are all drivers of flow\nand transport in the Delta. These drivers provide a\nconceptual framework for presenting recent findings.\nThe tremendous expansion of acoustic and optical\ninstruments deployed in the Delta over the past\ndecade has greatly improved our understanding\nof how tidal variability affects flow and transport.\nSediment is increasingly viewed as a diminishing\nresource needed to sustain pelagic habitat and tidal\nmarsh, especially as sea level rises. Connections\namong the watershed, Delta, and San Francisco Bay\nthat have been quantified recently highlight that a\nlandscape view of this system is needed, rather than\nconsideration of each region in isolation. We discuss\ninteractions of multiple drivers and information gaps.","language":"English","publisher":"John Muir Institute of the Environment","publisherLocation":"Sacramento, CA","doi":"10.15447/sfews.2016v14iss4art1","usgsCitation":"Schoellhamer, D., Wright, S., Monismith, S., and Bergamaschi, B.A., 2016, Recent advances in understanding flow dynamics and transport of water-quality constituents in the Sacramento–San Joaquin River Delta: San Francisco Estuary and Watershed Science, v. 14, no. 4, Article 1: 25 p., https://doi.org/10.15447/sfews.2016v14iss4art1.","productDescription":"Article 1: 25 p.","ipdsId":"IP-066747","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":461982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2016v14iss4art1","text":"Publisher Index Page"},{"id":333195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin River Delta","volume":"14","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-28","publicationStatus":"PW","scienceBaseUri":"5879f5aae4b0847d353f44bc","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monismith, Stephen G.","contributorId":57228,"corporation":false,"usgs":true,"family":"Monismith","given":"Stephen G.","affiliations":[],"preferred":false,"id":658423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":658422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179702,"text":"70179702 - 2016 - Investigating dynamic sources of pharmaceuticals: Demographic and seasonal use are more important than down-the-drain disposal in wastewater effluent in a University City setting","interactions":[],"lastModifiedDate":"2018-08-07T12:08:44","indexId":"70179702","displayToPublicDate":"2017-01-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Investigating dynamic sources of pharmaceuticals: Demographic and seasonal use are more important than down-the-drain disposal in wastewater effluent in a University City setting","docAbstract":"<p id=\"sp0040\">Pharmaceutical pollution in surface waters poses risks to human and ecosystem health. Wastewater treatment facilities are primary sources of pharmaceutical pollutants, but little is known about the factors that affect drugs entering the wastewater stream. This paper investigates the effects of student pharmaceutical use and disposal behaviors and an annual demographic shift on pharmaceutical pollution in a university town. We sampled wastewater effluent during a ten-day annual spring student move-out period at the University of Vermont. We then interpreted these data in light of survey results that investigated pharmaceutical purchasing, use, and disposal practices among the university student population. Surveys indicated that the majority of student respondents purchased pharmaceuticals in the previous year. Many students reported having leftover drugs, though only a small portion disposed of them, mainly in the trash.</p><p id=\"sp0045\">We detected 51 pharmaceuticals in 80% or more of the wastewater effluent samples collected over the ten-day sampling period. Several increased in concentration after students left the area. Concentrations of caffeine and nicotine decreased weakly. Drug disposal among this university student population does not appear to be a major source of pharmaceuticals in wastewater. Increases in pharmaceutical concentration after the students left campus can be tied to an increase in the seasonal use of allergy medications directly related to pollen, as well as a demographic shift to a year-round older population, which supports national data that older people use larger volumes and different types of pharmaceuticals than the younger student population.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2016.07.199","usgsCitation":"Vatovec, C., Phillips, P.J., Van Wagoner, E., Scott, T., and Furlong, E.T., 2016, Investigating dynamic sources of pharmaceuticals: Demographic and seasonal use are more important than down-the-drain disposal in wastewater effluent in a University City setting: Science of the Total Environment, v. 572, p. 906-914, https://doi.org/10.1016/j.scitotenv.2016.07.199.","productDescription":"9 p.","startPage":"906","endPage":"914","ipdsId":"IP-074658","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":333101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","city":"Burlington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.25958251953125,\n              44.42765069807356\n            ],\n            [\n              -73.25958251953125,\n              44.5058104003897\n            ],\n            [\n              -73.16070556640625,\n              44.5058104003897\n            ],\n            [\n              -73.16070556640625,\n              44.42765069807356\n            ],\n            [\n              -73.25958251953125,\n              44.42765069807356\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"572","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48ae4b04df303d95800","contributors":{"authors":[{"text":"Vatovec, Christine","contributorId":178267,"corporation":false,"usgs":false,"family":"Vatovec","given":"Christine","email":"","affiliations":[],"preferred":false,"id":658338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Wagoner, Emily","contributorId":178268,"corporation":false,"usgs":false,"family":"Van Wagoner","given":"Emily","email":"","affiliations":[],"preferred":false,"id":658339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Tia-Marie 0000-0002-5677-0544 tia-mariescott@usgs.gov","orcid":"https://orcid.org/0000-0002-5677-0544","contributorId":5122,"corporation":false,"usgs":true,"family":"Scott","given":"Tia-Marie","email":"tia-mariescott@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":658341,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179688,"text":"70179688 - 2016 - Methods of soil resampling to monitor changes in the chemical concentrations of forest soils","interactions":[],"lastModifiedDate":"2017-01-11T13:01:26","indexId":"70179688","displayToPublicDate":"2017-01-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2498,"text":"Journal of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"Methods of soil resampling to monitor changes in the chemical concentrations of forest soils","docAbstract":"<p><span>Recent soils research has shown that important chemical soil characteristics can change in less than a decade, often the result of broad environmental changes. Repeated sampling to monitor these changes in forest soils is a relatively new practice that is not well documented in the literature and has only recently been broadly embraced by the scientific community. The objective of this protocol is therefore to synthesize the latest information on methods of soil resampling in a format that can be used to design and implement a soil monitoring program. Successful monitoring of forest soils requires that a study unit be defined within an area of forested land that can be characterized with replicate sampling locations. A resampling interval of 5 years is recommended, but if monitoring is done to evaluate a specific environmental driver, the rate of change expected in that driver should be taken into consideration. Here, we show that the sampling of the profile can be done by horizon where boundaries can be clearly identified and horizons are sufficiently thick to remove soil without contamination from horizons above or below. Otherwise, sampling can be done by depth interval. Archiving of sample for future reanalysis is a key step in avoiding analytical bias and providing the opportunity for additional analyses as new questions arise.</span></p>","language":"English","publisher":"JoVE","publisherLocation":"Cambridge, MA","doi":"10.3791/54815","collaboration":"New York State Energy Research and Development Authority;  USGS","usgsCitation":"Lawrence, G.B., Fernandez, I.J., Hazlett, P.W., Bailey, S.W., Ross, D., Villars, T.R., Quintana, A., , O., McHale, M., Johnson, C.E., Briggs, R.D., Colter, R.A., Siemion, J., Bartlett, O.L., Vargas, O., Antidormi, M.R., and Koppers, M.M., 2016, Methods of soil resampling to monitor changes in the chemical concentrations of forest soils: Journal of Visualized Experiments, v. 117, e54815: 16 p., https://doi.org/10.3791/54815.","productDescription":"e54815: 16 p.","ipdsId":"IP-074862","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":470275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3791/54815","text":"Publisher Index Page"},{"id":333057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-25","publicationStatus":"PW","scienceBaseUri":"58772078e4b0315b4c11fe2a","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandez, Ivan J.","contributorId":80174,"corporation":false,"usgs":true,"family":"Fernandez","given":"Ivan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazlett, Paul W.","contributorId":101177,"corporation":false,"usgs":true,"family":"Hazlett","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":658232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Scott W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":36840,"corporation":false,"usgs":true,"family":"Bailey","given":"Scott","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":658233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Donald S.","contributorId":9565,"corporation":false,"usgs":true,"family":"Ross","given":"Donald S.","affiliations":[],"preferred":false,"id":658234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Villars, Thomas R.","contributorId":178219,"corporation":false,"usgs":false,"family":"Villars","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":658247,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quintana, Angelica","contributorId":178220,"corporation":false,"usgs":false,"family":"Quintana","given":"Angelica","email":"","affiliations":[],"preferred":false,"id":658236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":" Ouimet","contributorId":140810,"corporation":false,"usgs":false,"given":"Ouimet","email":"","affiliations":[{"id":13582,"text":"Director of Forestry Research, Dept of Natural Resources & Wildlife, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":658237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McHale, Michael 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":177292,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Chris E.","contributorId":17539,"corporation":false,"usgs":true,"family":"Johnson","given":"Chris","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":658239,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Briggs, Russell D.","contributorId":149663,"corporation":false,"usgs":false,"family":"Briggs","given":"Russell","email":"","middleInitial":"D.","affiliations":[{"id":6650,"text":"SUNY - Brockport","active":true,"usgs":false}],"preferred":false,"id":658240,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Colter, Robert A.","contributorId":178222,"corporation":false,"usgs":false,"family":"Colter","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658248,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658242,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bartlett, Olivia L.","contributorId":178223,"corporation":false,"usgs":false,"family":"Bartlett","given":"Olivia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":658249,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Vargas, Olga","contributorId":178224,"corporation":false,"usgs":false,"family":"Vargas","given":"Olga","email":"","affiliations":[],"preferred":false,"id":658244,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Antidormi, Michael R. 0000-0002-3967-1173 mantidormi@usgs.gov","orcid":"https://orcid.org/0000-0002-3967-1173","contributorId":150722,"corporation":false,"usgs":true,"family":"Antidormi","given":"Michael","email":"mantidormi@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658245,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Koppers, Mary Margaret","contributorId":178225,"corporation":false,"usgs":false,"family":"Koppers","given":"Mary","email":"","middleInitial":"Margaret","affiliations":[],"preferred":false,"id":658246,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70179639,"text":"70179639 - 2016 - Climatic drivers for multidecadal shifts in solute transport and methane production zones within a large peat basin","interactions":[],"lastModifiedDate":"2018-10-17T09:12:30","indexId":"70179639","displayToPublicDate":"2017-01-09T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Climatic drivers for multidecadal shifts in solute transport and methane production zones within a large peat basin","docAbstract":"<p><span>Northern peatlands are an important source for greenhouse gases, but their capacity to produce methane remains uncertain under changing climatic conditions. We therefore analyzed a 43 year time series of the pore-water chemistry to determine if long-term shifts in precipitation altered the vertical transport of solutes within a large peat basin in northern Minnesota. These data suggest that rates of methane production can be finely tuned to multidecadal shifts in precipitation that drive the vertical penetration of labile carbon substrates within the Glacial Lake Agassiz Peatlands. Tritium and cation profiles demonstrate that only the upper meter of these peat deposits was flushed by downwardly moving recharge from 1965 to 1983 during a Transitional Dry-to-Moist Period. However, a shift to a moister climate after 1984 drove surface waters much deeper, largely flushing the pore waters of all bogs and fens to depths of 2 m. Labile carbon compounds were transported downward from the rhizosphere to the basal peat at this time producing a substantial enrichment of methane in Δ</span><sup>14</sup><span>C with respect to the solid-phase peat from 1991 to 2008. These data indicate that labile carbon substrates can fuel deep production zones of methanogenesis that more than doubled in thickness across this large peat basin after 1984. Moreover, the entire peat profile apparently has the capacity to produce methane from labile carbon substrates depending on climate-driven modes of solute transport. Future changes in precipitation may therefore play a central role in determining the source strength of peatlands in the global methane cycle.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GB005397","usgsCitation":"Glaser, P.H., Siegel, D.I., Chanton, J.P., Reeve, A.S., Rosenberry, D.O., Corbett, J.E., Dasgupta, S., and Levy, Z., 2016, Climatic drivers for multidecadal shifts in solute transport and methane production zones within a large peat basin: Global Biogeochemical Cycles, v. 30, no. 11, p. 1578-1598, https://doi.org/10.1002/2016GB005397.","productDescription":"21 p.","startPage":"1578","endPage":"1598","ipdsId":"IP-078603","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470277,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005397","text":"Publisher Index Page"},{"id":332983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Glacial Lake Agassiz Peatlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.6667,\n              48.065232067568\n            ],\n            [\n              -95.6667,\n              48.73083222613515\n            ],\n            [\n              -93.8232421875,\n              48.73083222613515\n            ],\n            [\n              -93.8232421875,\n              48.065232067568\n            ],\n            [\n              -95.6667,\n              48.065232067568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"11","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-03","publicationStatus":"PW","scienceBaseUri":"5874b0ace4b0a829a320bb61","contributors":{"authors":[{"text":"Glaser, Paul H.","contributorId":178129,"corporation":false,"usgs":false,"family":"Glaser","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":658005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siegel, Donald I.","contributorId":178130,"corporation":false,"usgs":false,"family":"Siegel","given":"Donald","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":658006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chanton, Jeffrey P.","contributorId":178131,"corporation":false,"usgs":false,"family":"Chanton","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeve, Andrew S.","contributorId":178132,"corporation":false,"usgs":false,"family":"Reeve","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":658004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corbett, J. Elizabeth","contributorId":178133,"corporation":false,"usgs":false,"family":"Corbett","given":"J.","email":"","middleInitial":"Elizabeth","affiliations":[],"preferred":false,"id":658009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dasgupta, Soumitri","contributorId":178134,"corporation":false,"usgs":false,"family":"Dasgupta","given":"Soumitri","email":"","affiliations":[],"preferred":false,"id":658010,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Levy, Zeno","contributorId":178135,"corporation":false,"usgs":false,"family":"Levy","given":"Zeno","affiliations":[],"preferred":false,"id":658011,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187328,"text":"70187328 - 2016 - Saltwater intrusion monitoring in Florida","interactions":[],"lastModifiedDate":"2018-01-07T16:24:25","indexId":"70187328","displayToPublicDate":"2017-01-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1672,"text":"Florida Scientist","active":true,"publicationSubtype":{"id":10}},"title":"Saltwater intrusion monitoring in Florida","docAbstract":"<p>Florida's communities are largely dependent on freshwater from groundwater aquifers. Existing saltwater in the aquifers, or seawater that intrudes parts of the aquifers that were fresh, can make the water unusable without additional processing. The quality of Florida's saltwater intrusion monitoring networks varies. In Miami-Dade and Broward Counties, for example, there is a well-designed network with recently constructed short open-interval monitoring wells that bracket the saltwater interface in the Biscayne aquifer. Geochemical analyses of water samples from the network help scientists evaluate pathways of saltwater intrusion and movement of the saltwater interface. Geophysical measurements, collected in these counties, aid the mapping of the saltwater interface and the design of monitoring networks. In comparison, deficiencies in the Collier County monitoring network include the positioning of monitoring wells, reliance on wells with long open intervals that when sampled might provide questionable results, and the inability of existing analyses to differentiate between multiple pathways of saltwater intrusion. A state-wide saltwater intrusion monitoring network is being planned; the planned network could improve saltwater intrusion monitoring by adopting the applicable strategies of the networks of Miami-Dade and Broward Counties, and by addressing deficiencies such as those described for the Collier County network.</p>","language":"English","publisher":"Florida Academy of Science","usgsCitation":"Prinos, S.T., 2016, Saltwater intrusion monitoring in Florida: Florida Scientist, v. 79, no. 4, p. 269-278.","productDescription":"10 p.","startPage":"269","endPage":"278","ipdsId":"IP-069300","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":350347,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/44113190"},{"id":350348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Lauderdale","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693347,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178873,"text":"ofr20161202 - 2016 -  Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application","interactions":[],"lastModifiedDate":"2017-03-06T10:50:24","indexId":"ofr20161202","displayToPublicDate":"2017-01-05T07:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1202","title":" Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application","docAbstract":"<p>This report provides an overview of current (2016) U.S. Geological Survey policies and practices related to publishing data on ScienceBase, and an example interactive mapping application to display those data. ScienceBase is an integrated data sharing platform managed by the U.S. Geological Survey. This report describes resources that U.S. Geological Survey Scientists can use for writing data management plans, formatting data, and creating metadata, as well as for data and metadata review, uploading data and metadata to ScienceBase, and sharing metadata through the U.S. Geological Survey Science Data Catalog. Because data publishing policies and practices are evolving, scientists should consult the resources cited in this paper for definitive policy information.</p><p>An example is provided where, using the content of a published ScienceBase data release that is associated with an interpretive product, a simple user interface is constructed to demonstrate how the open source capabilities of the R programming language and environment can interact with the properties and objects of the ScienceBase item and be used to generate interactive maps.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161202","collaboration":"Prepared in cooperation with the Community for Data Integration","usgsCitation":"Chase, K.J., Bock, A.R., and Sando, Roy, 2017, Sharing our data—An overview of current (2016) USGS policies and practices for publishing data on ScienceBase and an example interactive mapping application: U.S. Geological Survey Open-File Report 2016–1202, 10 p., https://doi.org/10.3133/ofr20161202.","productDescription":"Report: v, 10 p. ","startPage":"1","endPage":"10","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-076724","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":332690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1202/coverthb.jpg"},{"id":332691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1202/ofr20161202.pdf","text":"Report","size":"2.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1202 Report PDF"}],"contact":"<p>Director, Wyoming-Montana Water Science Center<br>U.S. Geological Survey<br>3162 Bozeman Ave<br>Helena, MT 59601<br><a href=\"http://wy-mt.water.usgs.gov/\" data-mce-href=\"http://wy-mt.water.usgs.gov/\">http://wy-mt.water.usgs.gov/</a><br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Publishing Data on Sciencebase<br></li><li>Creating Interactive Maps<br></li><li>Lessons Learned, Limitations and other Considerations<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-01-05","noUsgsAuthors":false,"publicationDate":"2017-01-05","publicationStatus":"PW","scienceBaseUri":"586f69a5e4b01a71ba0bc8ff","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":655410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":26230,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179598,"text":"70179598 - 2016 - Depth calibration and validation of the Experimental Advanced Airborne Research Lidar, EAARL-B","interactions":[],"lastModifiedDate":"2020-02-13T10:03:10","indexId":"70179598","displayToPublicDate":"2017-01-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Depth calibration and validation of the Experimental Advanced Airborne Research Lidar, EAARL-B","docAbstract":"The original National Aeronautics and Space Administration (NASA) Experimental Advanced Airborne Research\nLidar (EAARL), was extensively modified to increase the spatial sampling density and improve performance in\nwater ranging from 3–44 m. The new (EAARL-B) sensor features a 300% increase in spatial density, which was\nachieved by optically splitting each laser pulse into 3 pulses spatially separated by 1.6 m along the flight track and\n2.0 m across-track on the water surface when flown at a nominal altitude of 300 m. Improved depth capability was\nachieved by increasing the total peak laser power by a factor of 10, and incorporating a new “deep-water” receiver,\noptimized to exclusively receive refracted and scattered light from deeper water (15–44 m). Two clear-water\nmissions were conducted to determine the EAARL-B depth calibration coefficients. The calibration mission was\nconducted over the U.S. Navy’s South Florida Testing Facility (SFTF), an established lidar calibration range located\nin the coastal waters southeast of Fort Lauderdale, Florida. A second mission was conducted over Lang Bank, St.\nCroix, U.S. Virgin Islands. The EAARL-B survey was spatially and temporally coincident with multibeam sonar\nsurveys conducted by the National Oceanic and Atmospheric Administration (NOAA) ship Nancy Foster. The\nNOAA depth data range from 10–100 m, whereas the EAARL-B captured data from 0–41 m. Coefficients derived\nfrom the SFTF calibration mission were used to correct the EAARL-B data from both missions. The resulting\ncalibrated EAARL-B data were then compared with the original reference dataset, a jet-ski-based single beam sonar\ndataset from the SFTF site, and the deeper NOAA data from St. Croix. Additionally, EAARL-B depth accuracy was\nevaluated by comparing the depth results to International Hydrographic Organization (IHO) standards. Results show\ngood agreement between the calibrated EAARL-B data and all three reference datasets, with 95% confidence levels\nwell within the maximum allowable total vertical uncertainty for IHO Order 1 surveys.","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI76-002","usgsCitation":"Wright, C., Kranenburg, C.J., Battista, T.A., and Parrish, C., 2016, Depth calibration and validation of the Experimental Advanced Airborne Research Lidar, EAARL-B: Journal of Coastal Research, v. Special Issue 76, p. 4-17, https://doi.org/10.2112/SI76-002.","productDescription":"Report: 14 p.; 2 Data Releases","startPage":"4","endPage":"17","ipdsId":"IP-066550","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470279,"rank":4,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/50788","text":"External Repository"},{"id":332919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372320,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F79S1P4S","text":"USGS data release","linkHelpText":"EAARL-B Submerged Topography—Fort Lauderdale, Florida, 2014"},{"id":372321,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F73T9F86","text":"USGS data release ","linkHelpText":"EAARL-B Submerged Topography—Saint Croix, U.S. Virgin Islands, 2014"}],"volume":"Special Issue 76","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586f69a6e4b01a71ba0bc905","contributors":{"authors":[{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":178023,"corporation":false,"usgs":true,"family":"Wright","given":"C. Wayne","email":"wwright@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":657816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":657817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battista, Timothy A.","contributorId":178030,"corporation":false,"usgs":false,"family":"Battista","given":"Timothy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Christopher","contributorId":98635,"corporation":false,"usgs":true,"family":"Parrish","given":"Christopher","affiliations":[],"preferred":false,"id":657819,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179603,"text":"70179603 - 2016 - Genetic structure of faucet snail, <i>Bithynia tentaculata</i> populations in North Americal based on microsattelite markers","interactions":[],"lastModifiedDate":"2020-12-17T21:06:23.061609","indexId":"70179603","displayToPublicDate":"2017-01-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic structure of faucet snail, Bithynia tentaculata populations in North Americal based on microsattelite markers","title":"Genetic structure of faucet snail, <i>Bithynia tentaculata</i> populations in North Americal based on microsattelite markers","docAbstract":"<p><i>Bithynia tentaculata</i> is believed to have been extirpated from North America during the last glacial maximum. It was reintroduced into North America via the Great Lakes basin in the 1800’s and has recently been expanding its geographic range. This snail serves as intermediate host for three trematodes that cause extensive recurring morbidity and mortality events in migratory water birds along the Mississippi River. Using twelve microsatellite loci for ~200 individual snails from 11 populations in North America and Europe, we examined one of the three major geographic regions from which founding populations into the Great Lakes typically originate. Our data supports a single recolonization of North America into the Great Lakes Basin followed by subsequent introduction events from the Great Lakes to other large watersheds in North America. However, additional watersheds in Europe require sampling to confirm this result. No populations with genetic signatures indicative of North American glacial relics were found. The initial invasion of North America was likely not from the Ponto-Caspian basin, the usual source of freshwater invasive species to the Laurentian Great Lakes.</p>","language":"English","publisher":"Freshwater Mollusc Conservation Society","doi":"10.31931/fmbc.v19i2.2016.56-68","usgsCitation":"Perez, K.E., Werren, R.L., Lynum, C.A., Hartman, L.A., Majoros, G., and Cole, R.A., 2016, Genetic structure of faucet snail, <i>Bithynia tentaculata</i> populations in North Americal based on microsattelite markers: Freshwater Mollusk Biology and Conservation, v. 19, no. 2, p. 56-68, https://doi.org/10.31931/fmbc.v19i2.2016.56-68.","productDescription":"13 p.","startPage":"56","endPage":"68","ipdsId":"IP-071347","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v19i2.2016.56-68","text":"Publisher Index Page"},{"id":332929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586f69a6e4b01a71ba0bc903","contributors":{"authors":[{"text":"Perez, Kathryn E.","contributorId":14102,"corporation":false,"usgs":true,"family":"Perez","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werren, Rebecca L.","contributorId":178043,"corporation":false,"usgs":false,"family":"Werren","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":657837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynum, Christopher A.","contributorId":178044,"corporation":false,"usgs":false,"family":"Lynum","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, Levi A.","contributorId":178045,"corporation":false,"usgs":false,"family":"Hartman","given":"Levi","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":657839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Majoros, Gabor","contributorId":178046,"corporation":false,"usgs":false,"family":"Majoros","given":"Gabor","email":"","affiliations":[],"preferred":false,"id":657840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":657841,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179582,"text":"70179582 - 2016 - Implementation and evaluation of a monthly water balance model over the US on an 800 m grid","interactions":[],"lastModifiedDate":"2017-01-19T13:42:38","indexId":"70179582","displayToPublicDate":"2017-01-05T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Implementation and evaluation of a monthly water balance model over the US on an 800 m grid","docAbstract":"<p><span>We simulate the 1950–2010 water balance for the conterminous U.S. (CONUS) with a monthly water balance model (MWBM) using the 800 m Parameter-elevation Regression on Independent Slopes Model (PRISM) data set as model input. We employed observed snow and streamflow data sets to guide modification of the snow and potential evapotranspiration components in the default model and to evaluate model performance. Based on various metrics and sensitivity tests, the modified model yields reasonably good simulations of seasonal snowpack in the West (range of bias of ±50 mm at 68% of 713 SNOTEL sites), the gradients and magnitudes of actual evapotranspiration, and runoff (median correlation of 0.83 and median Nash-Sutcliff efficiency of 0.6 between simulated and observed annual time series at 1427 USGS gage sites). The model generally performs well along the Pacific Coast, the high elevations of the Basin and Range and over the Midwest and East, but not as well over the dry areas of the Southwest and upper Plains regions due, in part, to the apportioning of direct versus delayed runoff. Sensitivity testing and application of the MWBM to simulate the future water balance at four National Parks when driven by 30 climate models from the Climate Model Intercomparison Program Phase 5 (CMIP5) demonstrate that the model is useful for evaluating first-order, climate driven hydrologic change on monthly and annual time scales.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR018665","usgsCitation":"Hostetler, S.W., and Alder, J.R., 2016, Implementation and evaluation of a monthly water balance model over the US on an 800 m grid: Water Resources Research, v. 52, no. 12, p. 9600-9620, https://doi.org/10.1002/2016WR018665.","productDescription":"20 p.","startPage":"9600","endPage":"9620","ipdsId":"IP-072570","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":332920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-27","publicationStatus":"PW","scienceBaseUri":"586f69a3e4b01a71ba0bc8fd","contributors":{"authors":[{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":657814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":657815,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179722,"text":"70179722 - 2016 - Whitebark pine mortality related to white pine blister rust, mountain pine beetle outbreak, and water availability","interactions":[],"lastModifiedDate":"2017-01-13T13:59:46","indexId":"70179722","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Whitebark pine mortality related to white pine blister rust, mountain pine beetle outbreak, and water availability","docAbstract":"<p><span>Whitebark pine (</span><i>Pinus albicaulis</i><span>) forests in the western United States have been adversely affected by an exotic pathogen (</span><i>Cronartium ribicola</i><span>, causal agent of white pine blister rust), insect outbreaks (</span><i>Dendroctonus ponderosae</i><span>, mountain pine beetle), and drought. We monitored individual trees from 2004 to 2013 and characterized stand-level biophysical conditions through a mountain pine beetle epidemic in the Greater Yellowstone Ecosystem. Specifically, we investigated associations between tree-level variables (duration and location of white pine blister rust infection, presence of mountain pine beetle, tree size, and potential interactions) with observations of individual whitebark pine tree mortality. Climate summaries indicated that cumulative growing degree days in years 2006–2008 likely contributed to a regionwide outbreak of mountain pine beetle prior to the observed peak in whitebark mortality in 2009. We show that larger whitebark pine trees were preferentially attacked and killed by mountain pine beetle and resulted in a regionwide shift to smaller size class trees. In addition, we found evidence that smaller size class trees with white pine blister rust infection experienced higher mortality than larger trees. This latter finding suggests that in the coming decades white pine blister rust may become the most probable cause of whitebark pine mortality. Our findings offered no evidence of an interactive effect of mountain pine beetle and white pine blister rust infection on whitebark pine mortality in the Greater Yellowstone Ecosystem. Interestingly, the probability of mortality was lower for larger trees attacked by mountain pine beetle in stands with higher evapotranspiration. Because evapotranspiration varies with climate and topoedaphic conditions across the region, we discuss the potential to use this improved understanding of biophysical influences on mortality to identify microrefugia that might contribute to successful whitebark pine conservation efforts. Using tree-level observations, the National Park Service-led Greater Yellowstone Interagency Whitebark Pine Long-term Monitoring Program provided important ecological insight on the size-dependent effects of white pine blister rust, mountain pine beetle, and water availability on whitebark pine mortality. This ongoing monitoring campaign will continue to offer observations that advance conservation in the Greater Yellowstone Ecosystem.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1610","usgsCitation":"Shanahan, E., Irvine, K.M., Thoma, D.P., Wilmoth, S.K., Ray, A., Legg, K., and Shovic, H., 2016, Whitebark pine mortality related to white pine blister rust, mountain pine beetle outbreak, and water availability: Ecosphere, v. 7, no. 12, e01610; 18 p., https://doi.org/10.1002/ecs2.1610.","productDescription":"e01610; 18 p.","ipdsId":"IP-071368","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1610","text":"Publisher Index Page"},{"id":333202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.313232421875,\n              42.15525946577863\n            ],\n            [\n              -112.313232421875,\n              45.805828539928356\n            ],\n            [\n              -108.599853515625,\n              45.805828539928356\n            ],\n            [\n              -108.599853515625,\n              42.15525946577863\n            ],\n            [\n              -112.313232421875,\n              42.15525946577863\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-08","publicationStatus":"PW","scienceBaseUri":"5879f5aae4b0847d353f44be","chorus":{"doi":"10.1002/ecs2.1610","url":"http://dx.doi.org/10.1002/ecs2.1610","publisher":"Wiley-Blackwell","authors":"Shanahan Erin, Irvine Kathryn M., Thoma David, Wilmoth Siri, Ray Andrew, Legg Kristin, Shovic Henry","journalName":"Ecosphere","publicationDate":"12/2016","auditedOn":"12/17/2016"},"contributors":{"authors":[{"text":"Shanahan, Erin","contributorId":173524,"corporation":false,"usgs":false,"family":"Shanahan","given":"Erin","affiliations":[{"id":27242,"text":"Greater Yellowstone Inventory and Monitoring Network, NPS","active":true,"usgs":false}],"preferred":false,"id":658430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":658429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thoma, David P.","contributorId":45975,"corporation":false,"usgs":true,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilmoth, Siri K. swilmoth@usgs.gov","contributorId":5501,"corporation":false,"usgs":true,"family":"Wilmoth","given":"Siri","email":"swilmoth@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":658432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ray, Andrew","contributorId":101972,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","affiliations":[],"preferred":false,"id":658433,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Legg, Kristin","contributorId":146451,"corporation":false,"usgs":false,"family":"Legg","given":"Kristin","affiliations":[{"id":16697,"text":"National Park Service, Greater Yellowstone Network, 2327 University Way, Suite 2, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":658434,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shovic, Henry","contributorId":178305,"corporation":false,"usgs":false,"family":"Shovic","given":"Henry","email":"","affiliations":[],"preferred":false,"id":658435,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190674,"text":"70190674 - 2016 - Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana","interactions":[],"lastModifiedDate":"2018-08-09T12:11:51","indexId":"70190674","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana","docAbstract":"<p><span>Low-flow synoptic sampling campaigns are often used as the primary tool to characterize watersheds affected by mining. Although such campaigns are an invaluable part of site characterization, investigations which focus solely on low-flow conditions may yield misleading results. The objective of this paper is to demonstrate this point and elucidate the mechanisms responsible for the release of metals during rainfall runoff. This objective is addressed using data from diel and synoptic sampling campaigns conducted over a two-day period. Low-flow synoptic sampling results indicate that concentrations of most constituents meet aquatic standards. This finding is in contrast to findings from a diel sampling campaign that captured dramatic increases in concentrations during rainfall runoff. Concentrations during the rising limb of the hydrograph were 2–23 times concentrations observed during synoptic sampling (most increases were &gt;10-fold), remaining elevated during the receding limb of the hydrograph to produce a clockwise hysteresis loop. Hydrologic mechanisms responsible for the release of metals include increased transport due to resuspension of streambed solids, erosion of alluvial tailings, and overland flow. Rainfall also elevated the alluvial groundwater table and increased infiltration through the vadose zone, likely resulting in dissolution from alluvial tailings that were dry prior to the event.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b03190","usgsCitation":"Runkel, R.L., Kimball, B.A., Nimick, D.A., and Walton-Day, K., 2016, Effects of flow regime on metal concentrations and the attainment of water quality standards in a remediated stream reach, Butte, Montana: Environmental Science & Technology, v. 50, no. 23, p. 12641-12649, https://doi.org/10.1021/acs.est.6b03190.","productDescription":"9 p.","startPage":"12641","endPage":"12649","ipdsId":"IP-077544","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":345641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","city":"Butte","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.5838565826416,\n              45.986526035337306\n            ],\n            [\n              -112.5182819366455,\n              45.986526035337306\n            ],\n            [\n              -112.5182819366455,\n              46.005606753418796\n            ],\n            [\n              -112.5838565826416,\n              46.005606753418796\n            ],\n            [\n              -112.5838565826416,\n              45.986526035337306\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"50","issue":"23","noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"59b8f220e4b08b1644e0aef2","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nimick, David A. dnimick@usgs.gov","contributorId":421,"corporation":false,"usgs":true,"family":"Nimick","given":"David","email":"dnimick@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":1245,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":710140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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