Karst aquifers are productive groundwater systems, supplying approximately 25 % of the world’s drinking water. Sustainable use of this critical water supply requires information about rates of recharge to karst aquifers. The overall goal of this project is to collect long-term, high-resolution hydrologic and geochemical datasets at James Cave, Virginia, to evaluate the quantity and quality of recharge to the karst system. To achieve this goal, the cave has been instrumented for continuous (10-min interval) measurement of the (1) temperature and rate of precipitation; (2) temperature, specific conductance, and rate of epikarst dripwater; (3) temperature of the cave air; and (4) temperature, conductivity, and discharge of the cave stream. Instrumentation has also been installed to collect both composite and grab samples of precipitation, soil water, the cave stream, and dripwater for geochemical analysis. This chapter provides detailed information about the instrumentation, data processing, and data management; shows examples of collected datasets; and discusses recommendations for other researchers interested in hydrologic and geochemical monitoring of cave systems. Results from the research, briefly described here and discussed in more detail in other publications, document a strong seasonality of the start of the recharge season, the extent of the recharge season, and the geochemistry of recharge.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in watershed science and assessment","language":"English","publisher":"Springer International Publishing","doi":"10.1007/978-3-319-14212-8_8","usgsCitation":"Schreiber, M.E., Schwartz, B.F., Orndorff, W., Doctor, D.H., Eagle, S.D., and Gerst, J.D., 2015, Instrumenting caves to collect hydrologic and geochemical data: case study from James Cave, Virginia, chap. of Advances in watershed science and assessment, p. 205-231, https://doi.org/10.1007/978-3-319-14212-8_8.","productDescription":"27 p. ","startPage":"205","endPage":"231","ipdsId":"IP-060443","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312537,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/chapter/10.1007/978-3-319-14212-8_8"}],"country":"United States","state":"Virginia","otherGeospatial":"James Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.73715209960938,\n 37.205175356202666\n ],\n [\n -80.47210693359375,\n 37.28388730761434\n ],\n [\n -80.36224365234375,\n 37.113240886048715\n ],\n [\n -80.69869995117188,\n 37.05298514989097\n ],\n [\n -80.73715209960938,\n 37.205175356202666\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-24","publicationStatus":"PW","scienceBaseUri":"57cfe8b7e4b04836416a0dca","contributors":{"authors":[{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":582906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Benjamin F.","contributorId":150744,"corporation":false,"usgs":false,"family":"Schwartz","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[{"id":18087,"text":"Texas State University, San Marcos","active":true,"usgs":false}],"preferred":false,"id":582907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, William","contributorId":150745,"corporation":false,"usgs":false,"family":"Orndorff","given":"William","email":"","affiliations":[{"id":18088,"text":"Virginia Dept. of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":582908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":582905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagle, Sarah D.","contributorId":150746,"corporation":false,"usgs":false,"family":"Eagle","given":"Sarah","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":582909,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerst, Jonathan D.","contributorId":150747,"corporation":false,"usgs":false,"family":"Gerst","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":582910,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138920,"text":"70138920 - 2015 - Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes","interactions":[],"lastModifiedDate":"2015-01-23T16:22:47","indexId":"70138920","displayToPublicDate":"2015-01-23T16:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes","docAbstract":"Land use/land cover (LULC) and climate changes are important drivers of change in streamflow. Assessing the impact of LULC and climate changes on streamflow is typically done with a calibrated and validated watershed model. However, there is a debate on the degree of calibration required. The objective of this study was to quantify the variation in estimated relative and absolute changes in streamflow associated with LULC and climate changes with different calibration approaches. The Soil and Water Assessment Tool (SWAT) was applied in an uncalibrated (UC), single outlet calibrated (OC), and spatially-calibrated (SC) mode to compare the relative and absolute changes in streamflow at 14 gaging stations within the Santa Cruz River Watershed in southern Arizona, USA. For this purpose, the effect of 3 LULC, 3 precipitation (P), and 3 temperature (T) scenarios were tested individually. For the validation period, Percent Bias (PBIAS) values were >100% with the UC model for all gages, the values were between 0% and 100% with the OC model and within 20% with the SC model. Changes in streamflow predicted with the UC and OC models were compared with those of the SC model. This approach implicitly assumes that the SC model is “ideal”. Results indicated that the magnitude of both absolute and relative changes in streamflow due to LULC predicted with the UC and OC results were different than those of the SC model. The magnitude of absolute changes predicted with the UC and SC models due to climate change (both P and T) were also significantly different, but were not different for OC and SC models. Results clearly indicated that relative changes due to climate change predicted with the UC and OC were not significantly different than that predicted with the SC models. This result suggests that it is important to calibrate the model spatially to analyze the effect of LULC change but not as important for analyzing the relative change in streamflow due to climate change. This study also indicated that model calibration in not necessary to determine the direction of change in streamflow due to LULC and climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2015.01.007","usgsCitation":"Niraula, R., Meixner, T., and Norman, L.M., 2015, Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes: Journal of Hydrology, v. 522, p. 439-451, https://doi.org/10.1016/j.jhydrol.2015.01.007.","productDescription":"13 p.","startPage":"439","endPage":"451","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053331","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":297498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Santa Cruz River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.29150390625,\n 30.93992433102347\n ],\n [\n -111.29150390625,\n 33.22030778968541\n ],\n [\n -109.852294921875,\n 33.22030778968541\n ],\n [\n -109.852294921875,\n 30.93992433102347\n ],\n [\n -111.29150390625,\n 30.93992433102347\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"522","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a67e4b08de9379b303f","contributors":{"authors":[{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":539204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":539205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":539206,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70141794,"text":"70141794 - 2015 - Large-scale dam removal on the Elwha River, Washington, USA: source-to-sink sediment budget and synthesis","interactions":[],"lastModifiedDate":"2020-09-01T14:29:19.223252","indexId":"70141794","displayToPublicDate":"2015-01-23T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: source-to-sink sediment budget and synthesis","docAbstract":"Understanding landscape responses to sediment supply changes constitutes a fundamental part of many problems in geomorphology, but opportunities to study such processes at field scales are rare. The phased removal of two large dams on the Elwha River, Washington, exposed 21 ± 3 million m3, or ~ 30 million tonnes (t), of sediment that had been deposited in the two former reservoirs, allowing a comprehensive investigation of watershed and coastal responses to a substantial increase in sediment supply. Here we provide a source-to-sink sediment budget of this sediment release during the first two years of the project (September 2011–September 2013) and synthesize the geomorphic changes that occurred to downstream fluvial and coastal landforms. Owing to the phased removal of each dam, the release of sediment to the river was a function of the amount of dam structure removed, the progradation of reservoir delta sediments, exposure of more cohesive lakebed sediment, and the hydrologic conditions of the river. The greatest downstream geomorphic effects were observed after water bodies of both reservoirs were fully drained and fine (silt and clay) and coarse (sand and gravel) sediments were spilling past the former dam sites. After both dams were spilling fine and coarse sediments, river suspended-sediment concentrations were commonly several thousand mg/L with ~ 50% sand during moderate and high river flow. At the same time, a sand and gravel sediment wave dispersed down the river channel, filling channel pools and floodplain channels, aggrading much of the river channel by ~ 1 m, reducing river channel sediment grain sizes by ~ 16-fold, and depositing ~ 2.2 million m3 of sand and gravel on the seafloor offshore of the river mouth. The total sediment budget during the first two years revealed that the vast majority (~ 90%) of the sediment released from the former reservoirs to the river passed through the fluvial system and was discharged to the coastal waters, where slightly less than half of the sediment was deposited in the river-mouth delta. Although most of the measured fluvial and coastal deposition was sand-sized and coarser (> 0.063 mm), significant mud deposition was observed in and around the mainstem river channel and on the seafloor. Woody debris, ranging from millimeter-size particles to old-growth trees and stumps, was also introduced to fluvial and coastal landforms during the dam removals. At the end of our two-year study, Elwha Dam was completely removed, Glines Canyon Dam had been 75% removed (full removal was completed 2014), and ~ 65% of the combined reservoir sediment masses—including ~ 8 Mt of fine-grained and ~ 12 Mt of coarse-grained sediment—remained within the former reservoirs. Reservoir sediment will continue to be released to the Elwha River following our two-year study owing to a ~ 16 m base level drop during the final removal of Glines Canyon Dam and to erosion from floods with larger magnitudes than occurred during our study. Comparisons with a geomorphic synthesis of small dam removals suggest that the rate of sediment erosion as a percent of storage was greater in the Elwha River during the first two years of the project than in the other systems. Comparisons with other Pacific Northwest dam removals suggest that these steep, high-energy rivers have enough stream power to export volumes of sediment deposited over several decades in only months to a few years. These results should assist with predicting and characterizing landscape responses to future dam removals and other perturbations to fluvial and coastal sediment budgets.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.geomorph.2015.01.010","usgsCitation":"Warrick, J., Bountry, J.A., East, A., Magirl, C.S., Randle, T.J., Gelfenbaum, G.R., Ritchie, A.C., Pess, G.R., Leung, V., and Duda, J., 2015, Large-scale dam removal on the Elwha River, Washington, USA: source-to-sink sediment budget and synthesis: Geomorphology, v. 246, no. 1, p. 729-750, https://doi.org/10.1016/j.geomorph.2015.01.010.","productDescription":"22 p.","startPage":"729","endPage":"750","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059114","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":298085,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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- 2015 - Distribution and biophysical processes of beaded streams in Arctic permafrost landscapes","interactions":[],"lastModifiedDate":"2015-01-22T11:20:09","indexId":"70138745","displayToPublicDate":"2015-01-22T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and biophysical processes of beaded streams in Arctic permafrost landscapes","docAbstract":"Beaded streams are widespread in permafrost regions and are considered a common thermokarst landform. However, little is known about their distribution, how and under what conditions they form, and how their intriguing morphology translates to ecosystem functions and habitat. Here we report on a Circum-Arctic survey of beaded streams and a watershed-scale analysis in northern Alaska using remote sensing and field studies. We mapped over 400 channel networks with beaded morphology throughout the continuous permafrost zone of northern Alaska, Canada, and Russia and found the highest abundance associated with medium- to high- ground ice content permafrost in moderately sloping terrain. In the Fish Creek watershed, beaded streams accounted for half of the drainage density, occurring primarily as low-order channels initiating from lakes and drained lake basins. Beaded streams predictably transition to alluvial channels with increasing drainage area and decreasing channel slope, although this transition is modified by local controls on water and sediment delivery. Comparison of one beaded channel using repeat photography between 1948 and 2013 indicate a relatively stable landform and 14C dating of basal sediments suggest channel formation may be as early as the Pleistocene-Holocene transition. Contemporary processes, such as deep snow accumulation in riparian zones effectively insulates channel ice and allows for perennial liquid water below most beaded stream pools. Because of this, mean annual temperatures in pool beds are greater than 2°C, leading to the development of perennial thaw bulbs or taliks underlying these thermokarst features. In the summer, some pools thermally stratify, which reduces permafrost thaw and maintains coldwater habitats. Snowmelt generated peak-flows decrease rapidly by two or more orders of magnitude to summer low flows with slow reach-scale velocity distributions ranging from 0.1 to 0.01 m/s, yet channel runs still move water rapidly between pools. The repeating spatial pattern associated with beaded stream morphology and hydrological dynamics may provide abundant and optimal foraging habitat for fish. Thus, beaded streams may create important ecosystem functions and habitat in many permafrost landscapes and their distribution and dynamics are only beginning to be recognized in Arctic research.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-12-29-2015","collaboration":"Christopher Arp; Guido Grosse; Ben Gaglioti, Matthew Whitman, Kurt Heim","usgsCitation":"Arp, C.D., Whitman, M.S., Jones, B.M., Grosse, G., Gaglioti, B.V., and Heim, K.C., 2015, Distribution and biophysical processes of beaded streams in Arctic permafrost landscapes: Biogeosciences, v. 12, p. 29-47, https://doi.org/10.5194/bg-12-29-2015.","productDescription":"19 p.","startPage":"29","endPage":"47","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051327","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":472324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-29-2015","text":"Publisher Index Page"},{"id":297460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -165.41015625,\n 71.85622888185527\n ],\n [\n -140.80078125,\n 70.4367988185464\n ],\n [\n -141.15234374999997,\n 59.445075099047166\n ],\n [\n -173.14453125,\n 51.28940590271679\n ],\n [\n -165.41015625,\n 71.85622888185527\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-06","publicationStatus":"PW","scienceBaseUri":"54dd2a6de4b08de9379b3053","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":538893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitman, Matthew S.","contributorId":67961,"corporation":false,"usgs":false,"family":"Whitman","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":538894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":538895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaglioti, Benjamin V. 0000-0003-0591-5253 bgaglioti@usgs.gov","orcid":"https://orcid.org/0000-0003-0591-5253","contributorId":4521,"corporation":false,"usgs":true,"family":"Gaglioti","given":"Benjamin","email":"bgaglioti@usgs.gov","middleInitial":"V.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":538896,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heim, Kurt C.","contributorId":138832,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt","email":"","middleInitial":"C.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":538897,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70138812,"text":"70138812 - 2015 - Storage and release of organic carbon from glaciers and ice sheets","interactions":[],"lastModifiedDate":"2018-07-07T18:05:42","indexId":"70138812","displayToPublicDate":"2015-01-22T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Storage and release of organic carbon from glaciers and ice sheets","docAbstract":"Polar ice sheets and mountain glaciers, which cover roughly 11% of the Earth's land surface, store organic carbon from local and distant sources and then release it to downstream environments. Climate-driven changes to glacier runoff are expected to be larger than climate impacts on other components of the hydrological cycle, and may represent an important flux of organic carbon. A compilation of published data on dissolved organic carbon from glaciers across five continents reveals that mountain and polar glaciers represent a quantitatively important store of organic carbon. The Antarctic Ice Sheet is the repository of most of the roughly 6 petagrams (Pg) of organic carbon stored in glacier ice, but the annual release of glacier organic carbon is dominated by mountain glaciers in the case of dissolved organic carbon and the Greenland Ice Sheet in the case of particulate organic carbon. Climate change contributes to these fluxes: approximately 13% of the annual flux of glacier dissolved organic carbon is a result of glacier mass loss. These losses are expected to accelerate, leading to a cumulative loss of roughly 15 teragrams (Tg) of glacial dissolved organic carbon by 2050 due to climate change — equivalent to about half of the annual flux of dissolved organic carbon from the Amazon River. Thus, glaciers constitute a key link between terrestrial and aquatic carbon fluxes, and will be of increasing importance in land-to-ocean fluxes of organic carbon in glacierized regions.
","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo2331","usgsCitation":"Hood, E., Battin, T.J., Fellman, J., O’Neel, S., and Spencer, R., 2015, Storage and release of organic carbon from glaciers and ice sheets: Nature Geoscience, v. 8, p. 91-96, https://doi.org/10.1038/ngeo2331.","productDescription":"6 p.","startPage":"91","endPage":"96","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055770","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":488203,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://infoscience.epfl.ch/record/208595","text":"External Repository"},{"id":297456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-19","publicationStatus":"PW","scienceBaseUri":"54dd2ab8e4b08de9379b31a9","contributors":{"authors":[{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":538921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battin, Tom J.","contributorId":51661,"corporation":false,"usgs":true,"family":"Battin","given":"Tom","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":538922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fellman, Jason","contributorId":138836,"corporation":false,"usgs":false,"family":"Fellman","given":"Jason","affiliations":[{"id":12538,"text":"Environmental Science and Geography Program, University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":538923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":538920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spencer, Robert G. M.","contributorId":28866,"corporation":false,"usgs":true,"family":"Spencer","given":"Robert G. M.","affiliations":[],"preferred":false,"id":538924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134502,"text":"sir20145216 - 2015 - Areas contributing recharge to production wells and effects of climate change on the groundwater system in the Chipuxet River and Chickasheen Brook Basins, Rhode Island","interactions":[],"lastModifiedDate":"2015-01-22T10:58:07","indexId":"sir20145216","displayToPublicDate":"2015-01-22T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5216","title":"Areas contributing recharge to production wells and effects of climate change on the groundwater system in the Chipuxet River and Chickasheen Brook Basins, Rhode Island","docAbstract":"The Chipuxet River and Chickasheen Brook Basins in southern Rhode Island are an important water resource for public and domestic supply, irrigation, recreation, and aquatic habitat. The U.S. Geological Survey, in cooperation with the Rhode Island Department of Health, began a study in 2012 as part of an effort to protect the source of water to six large-capacity production wells that supply drinking water and to increase understanding of how climate change might affect the water resources in the basins. Soil-water-balance and groundwater-flow models were developed to delineate the areas contributing recharge to the wells and to quantify the hydrologic response to climate change. Surficial deposits of glacial origin ranging from a few feet to more than 200 feet thick overlie bedrock in the 24.4-square mile study area. These deposits comprise a complex and productive aquifer system.
\n\n
Simulated areas contributing recharge to the production wells covered a total area of 0.63 square miles for average well withdrawal rates from 2007 through 2011 (total rate of 583 gallons per minute). Simulated areas contributing recharge for the maximum well pumping capacities (total rate of 3,700 gallons per minute) covered a total area of 2.55 square miles. Most simulated areas contributing recharge extend upgradient of the wells to morainal and upland till deposits and to groundwater divides. Some simulated areas contributing recharge include small, isolated areas remote from the wells. Relatively short groundwater traveltimes from recharging locations to discharging wells indicated that the wells are vulnerable to contamination from land-surface activities; median traveltimes ranged from 3.5 to 8.6 years for the production wells examined, and 57 to 91 percent of the traveltimes were 10 years or less. Land cover in the areas contributing recharge includes a substantial amount of urban and agriculture land use for five wells adjacent to the Chipuxet River; for one well adjacent to a tributary stream, land use is less developed.
\n\n
The calibrated groundwater-flow model provided a single, best representation of the areas contributing recharge to a production well. The parameter variance-covariance matrix from model calibration was used to create parameter sets that reflect the uncertainty of the parameter estimates and the correlation among parameters to evaluate the uncertainty associated with the predicted contributing areas to the wells. A Monte Carlo analysis led to contributing areas expressed as a probability distribution that differed from a single deterministic contributing area. Because of the effects of parameter uncertainty, the size of the probabilistic contributing areas for both average and maximum pumping rates was larger than the size of the deterministic contributing areas for the wells. Thus, some areas not in the deterministic contributing area might actually be in the contributing area, including additional areas of urban and agricultural land use that has the potential to contaminate groundwater. Additional areas that might be in the contributing area included recharge originating near the pumping wells that have relatively short groundwater-flow paths and traveltimes. At the maximum pumping rates, areas associated with low probabilities extended long distances along groundwater divides in the uplands remote from the wells.
\n\n
Climate projections for the Chipuxet River and Chickasheen Brook Basins from downscaled output from general circulation models indicate that mean annual temperature might increase by 4.7 degrees Fahrenheit and 8.0 degrees Fahrenheit by the late 21st century (2070–99) compared with the late 20th century (1970–99) under scenarios of lower and higher emissions of greenhouse gases, respectively. By the late 21st century, winter and spring precipitation is projected to increase by 12 to 17 percent, summer precipitation to increase by about the same as mean annual precipitation (8 percent), and fall precipitation to decrease by 5 percent for both emission scenarios compared with the late 20th century. Soil-water-balance simulations indicate that, although precipitation is expected to increase in three seasons, only in winter do precipitation increases exceed actual evapotranspiration increases. Recharge is projected to decrease in fall and generally change little in spring and summer. By the late 21st century, winter recharge is expected to increase by 13 percent for the lower emissions scenario and by 15 percent for the higher emissions scenario. In fall, recharge is projected to diminish by 13 percent for the lower emissions scenario and by 24 percent for the higher emissions scenario. Although recharge is projected to change seasonally in the 21st century, mean annual recharge changes minimally. Soil moisture is projected to decrease in the 21st century from spring through fall because of increases in potential evapotranspiration, and in fall because of decreases in precipitation in addition to increases in potential evapotranspiration. By the late 21st century, soil moisture for the lower emissions scenario is expected to decrease by 11 percent in summer and 15 percent in fall, and for the higher emissions scenario, decrease by 23 percent for both seasons. These decreases in soil moisture during the growing season might have implications for agriculture in the study area.
\n\n
Predicted changes in the magnitude and seasonal distribution of recharge in the 21st century increase simulated base flows and groundwater levels in the winter months for both emission scenarios, but because of less recharge in the fall and less or about the same recharge in the preceding months of spring and summer, base flows and groundwater levels in the fall months decrease for both emission scenarios. October has the largest base flow and groundwater level decreases. By the late 21st century, base flows at the Chipuxet River in October are projected to decrease by 9 percent for the lower emissions scenario and 18 percent for the higher emissions scenario. For a headwater stream in the upland till with shorter groundwater-flow paths and lower storage properties in its drainage area, base flows in October are projected to diminish by 28 percent and 42 percent for the lower and higher emissions scenarios by the late 21st century. Groundwater level changes in the uplands show substantial decreases in fall, but because of the large storage capacity of stratified deposits, water levels change minimally in the valley. By the late 21st century, water levels in large areas of upland till deposits in October are projected to decrease by up to 2 feet for the lower emissions scenario, whereas large areas decrease by up to 5 feet, with small areas with decreases of as much as 10 feet, for the higher emissions scenario. For both emission scenarios, additional areas of till go dry in fall compared with the late 20th century. Thus projected changes in recharge in the 21st century might extend low flows and low water levels for the year later in fall and there might be more intermittent headwater streams compared with the late 20th century with corresponding implications to aquatic habitat. Finally, the size and location of the simulated areas contributing recharge to the production wells are minimally affected by climate change because mean annual recharge, which is used to determine the contributing areas to the production wells, is projected to change little in the 21st century.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145216","collaboration":"Prepared in cooperation with the Rhode Island Department of Health","usgsCitation":"Friesz, P.J., and Stone, J.R., 2015, Areas contributing recharge to production wells and effects of climate change on the groundwater system in the Chipuxet River and Chickasheen Brook Basins, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2014-5216, Report: ix, 56 p.; Plate; Figure: 11 inches x 17 inches, https://doi.org/10.3133/sir20145216.","productDescription":"Report: ix, 56 p.; Plate; Figure: 11 inches x 17 inches","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056729","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":297455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145216.jpg"},{"id":296961,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5216/","description":"Index Page"},{"id":297452,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5216/pdf/sir2014-5216.pdf","text":"Report","size":"8.62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297453,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5216/attachments/sir2014-5216_plate1_r.pdf","text":"Plate 1","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1","linkHelpText":"Map showing surficial materials"},{"id":297454,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5216/attachments/sir2014-5216_fig03abc.pdf","text":"Figure 3","size":"890 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 3","linkHelpText":"Cross sections A, A–A', B, B–B', and C, C–C' in the Chipuxet River and Chickasheen Brook Basins, Rhode Island."}],"country":"United States","state":"Rhode Island","otherGeospatial":"Chickasheen Brook, Chipuxet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.817626953125,\n 42.01665183556825\n ],\n [\n -71.30126953124999,\n 42.01665183556825\n ],\n [\n -71.334228515625,\n 41.36031866306708\n ],\n [\n -71.817626953125,\n 41.343824581185686\n ],\n [\n -71.817626953125,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a56e4b08de9379b2fed","contributors":{"authors":[{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Janet Radway jrstone@usgs.gov","contributorId":1695,"corporation":false,"usgs":true,"family":"Stone","given":"Janet","email":"jrstone@usgs.gov","middleInitial":"Radway","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":537490,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70140360,"text":"70140360 - 2015 - Soil greenhouse gas emissions and carbon budgeting in a short-hydroperiod floodplain wetland","interactions":[],"lastModifiedDate":"2015-02-26T15:53:33","indexId":"70140360","displayToPublicDate":"2015-01-21T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Soil greenhouse gas emissions and carbon budgeting in a short-hydroperiod floodplain wetland","docAbstract":"Understanding the controls on floodplain carbon (C) cycling is important for assessing greenhouse gas emissions and the potential for C sequestration in river-floodplain ecosystems. We hypothesized that greater hydrologic connectivity would increase C inputs to floodplains that would not only stimulate soil C gas emissions but also sequester more C in soils. In an urban Piedmont river (151 km2 watershed) with a floodplain that is dry most of the year, we quantified soil CO2, CH4, and N2O net emissions along gradients of floodplain hydrologic connectivity, identified controls on soil aerobic and anaerobic respiration, and developed a floodplain soil C budget. Sites were chosen along a longitudinal river gradient and across lateral floodplain geomorphic units (levee, backswamp, and toe slope). CO2 emissions decreased downstream in backswamps and toe slopes and were high on the levees. CH4 and N2O fluxes were near zero; however, CH4emissions were highest in the backswamp. Annual CO2 emissions correlated negatively with soil water-filled pore space and positively with variables related to drier, coarser soil. Conversely, annual CH4 emissions had the opposite pattern of CO2. Spatial variation in aerobic and anaerobic respiration was thus controlled by oxygen availability but was not related to C inputs from sedimentation or vegetation. The annual mean soil CO2 emission rate was 1091 g C m−2 yr−1, the net sedimentation rate was 111 g C m−2 yr−1, and the vegetation production rate was 240 g C m−2 yr−1, with a soil C balance (loss) of −338 g C m−2 yr−1. This floodplain is losing C likely due to long-term drying from watershed urbanization.
","language":"English","publisher":"Wiley","doi":"10.1002/2014JG002817","usgsCitation":"Batson, J., Noe, G.B., Hupp, C.R., Krauss, K.W., Rybicki, N.B., and Schenk, E.R., 2015, Soil greenhouse gas emissions and carbon budgeting in a short-hydroperiod floodplain wetland: Journal of Geophysical Research: Biogeosciences, v. 120, no. 1, p. 77-95, https://doi.org/10.1002/2014JG002817.","productDescription":"19 p.","startPage":"77","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061690","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jg002817","text":"Publisher Index Page"},{"id":297816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run, Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.23560333251953,\n 38.9768594727967\n ],\n [\n -77.23341464996338,\n 38.9756250535527\n ],\n [\n -77.23637580871582,\n 38.97395688525248\n ],\n [\n -77.2638416290283,\n 38.97072052669015\n ],\n [\n -77.2873592376709,\n 38.96613265162267\n ],\n [\n -77.28907585144043,\n 38.966733263080755\n ],\n [\n -77.2746992111206,\n 38.9743906127907\n ],\n [\n -77.2572112083435,\n 38.975191333574806\n ],\n [\n -77.24978685379028,\n 38.97894459156479\n ],\n [\n -77.23560333251953,\n 38.9768594727967\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-21","publicationStatus":"PW","scienceBaseUri":"54dd2ab5e4b08de9379b319c","contributors":{"authors":[{"text":"Batson, Jackie jbatson@usgs.gov","contributorId":5186,"corporation":false,"usgs":true,"family":"Batson","given":"Jackie","email":"jbatson@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":540022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. gnoe@usgs.gov","contributorId":131138,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":540023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":540024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":540025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - 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Groundwater samples were collected from well networks tapping glacial till in New England (NE) and sandy surficial aquifer New York (NY) during one sampling round in 2011. The NE network assesses the effect of a single large septic system that receives discharge from an extended health care facility for the elderly. The NY network assesses the effect of many small septic systems used seasonally on a densely populated portion of Fire Island. The data collected from these two networks indicate that hydrogeologic and demographic factors affect micropollutant concentrations in these systems.
\nThe highest micropollutant concentrations from the NE network were present in samples collected from below the leach beds and in a well downgradient of the leach beds. Total concentrations for personal care/domestic use compounds, pharmaceutical compounds and plasticizer compounds generally ranged from 1 to over 20 μg/L in the NE network samples. High tris(2-butoxyethyl phosphate) plasticizer concentrations in wells beneath and downgradient of the leach beds (> 20 μg/L) may reflect the presence of this compound in cleaning agents at the extended health-care facility.
\nThe highest micropollutant concentrations for the NY network were present in the shoreline wells and reflect groundwater that is most affected by septic system discharges. One of the shoreline wells had personal care/domestic use, pharmaceutical, and plasticizer concentrations ranging from 0.4 to 5.7 μg/L. Estradiol equivalency quotient concentrations were also highest in a shoreline well sample (3.1 ng/L). Most micropollutant concentrations increase with increasing specific conductance and total nitrogen concentrations for shoreline well samples. These findings suggest that septic systems serving institutional settings and densely populated areas in coastal settings may be locally important sources of micropollutants to adjacent aquifer and marine systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.12.067","usgsCitation":"Phillips, P., Schubert, C., Argue, D.M., Fisher, I., Furlong, E.T., Foreman, W., Gray, J.L., and Chalmers, A.T., 2015, Concentrations of hormones, pharmaceuticals and other micropollutants in groundwater affected by septic systems in New England and New York: Science of the Total Environment, v. 512-513, p. 43-54, https://doi.org/10.1016/j.scitotenv.2014.12.067.","productDescription":"12 p.","startPage":"43","endPage":"54","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057986","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"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":298242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"New England","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.87060546875,\n 40.74725696280421\n ],\n [\n -79.87060546875,\n 47.517200697839414\n ],\n [\n -66.5771484375,\n 47.517200697839414\n ],\n [\n -66.5771484375,\n 40.74725696280421\n ],\n [\n -79.87060546875,\n 40.74725696280421\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"512-513","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f6e93be4b02419550d309a","contributors":{"authors":[{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schubert, Christopher 0000-0002-5137-1229 schubert@usgs.gov","orcid":"https://orcid.org/0000-0002-5137-1229","contributorId":138826,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Argue, Denise M. 0000-0002-1096-5362 dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Irene J. ifisher@usgs.gov","contributorId":139546,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene J.","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541749,"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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":541750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":139099,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":541752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chalmers, Ann T. 0000-0002-5199-8080 chalmers@usgs.gov","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":1443,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"chalmers@usgs.gov","middleInitial":"T.","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":541753,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70138461,"text":"70138461 - 2015 - The effects of sample scheduling and sample numbers on estimates of the annual fluxes of suspended sediment in fluvial systems","interactions":[],"lastModifiedDate":"2015-01-16T09:20:34","indexId":"70138461","displayToPublicDate":"2015-01-16T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"The effects of sample scheduling and sample numbers on estimates of the annual fluxes of suspended sediment in fluvial systems","docAbstract":"Since the 1970s, there has been both continuing and growing interest in developing accurate estimates of the annual fluvial transport (fluxes and loads) of suspended sediment and sediment-associated chemical constituents. This study provides an evaluation of the effects of manual sample numbers (from 4 to 12 year−1) and sample scheduling (random-based, calendar-based and hydrology-based) on the precision, bias and accuracy of annual suspended sediment flux estimates. The evaluation is based on data from selected US Geological Survey daily suspended sediment stations in the USA and covers basins ranging in area from just over 900 km2 to nearly 2 million km2 and annual suspended sediment fluxes ranging from about 4 Kt year−1 to about 200 Mt year−1. The results appear to indicate that there is a scale effect for random-based and calendar-based sampling schemes, with larger sample numbers required as basin size decreases. All the sampling schemes evaluated display some level of positive (overestimates) or negative (underestimates) bias. The study further indicates that hydrology-based sampling schemes are likely to generate the most accurate annual suspended sediment flux estimates with the fewest number of samples, regardless of basin size. This type of scheme seems most appropriate when the determination of suspended sediment concentrations, sediment-associated chemical concentrations, annual suspended sediment and annual suspended sediment-associated chemical fluxes only represent a few of the parameters of interest in multidisciplinary, multiparameter monitoring programmes. The results are just as applicable to the calibration of autosamplers/suspended sediment surrogates currently used to measure/estimate suspended sediment concentrations and ultimately, annual suspended sediment fluxes, because manual samples are required to adjust the sample data/measurements generated by these techniques so that they provide depth-integrated and cross-sectionally representative data.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10172","usgsCitation":"Horowitz, A.J., Clarke, R.T., and Merten, G.H., 2015, The effects of sample scheduling and sample numbers on estimates of the annual fluxes of suspended sediment in fluvial systems: Hydrological Processes, v. 29, no. 4, p. 531-543, https://doi.org/10.1002/hyp.10172.","productDescription":"13 p.","startPage":"531","endPage":"543","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052797","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":297316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"54dd2abfe4b08de9379b31ce","contributors":{"authors":[{"text":"Horowitz, Arthur J. 0000-0002-3296-730X horowitz@usgs.gov","orcid":"https://orcid.org/0000-0002-3296-730X","contributorId":1400,"corporation":false,"usgs":true,"family":"Horowitz","given":"Arthur","email":"horowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Robin T.","contributorId":138769,"corporation":false,"usgs":false,"family":"Clarke","given":"Robin","email":"","middleInitial":"T.","affiliations":[{"id":12521,"text":"Department of Geosciences Georgia State University","active":true,"usgs":false}],"preferred":false,"id":538681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merten, Gustavo Henrique","contributorId":138770,"corporation":false,"usgs":false,"family":"Merten","given":"Gustavo","email":"","middleInitial":"Henrique","affiliations":[{"id":12522,"text":"Federal University of Rio Grande do Sul Hydraulic Research Institute","active":true,"usgs":false}],"preferred":false,"id":538682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137978,"text":"70137978 - 2015 - Total- and methyl-mercury concentrations and methylation rates across the freshwater to hypersaline continuum of the Great Salt Lake, Utah, USA","interactions":[],"lastModifiedDate":"2018-09-04T16:28:39","indexId":"70137978","displayToPublicDate":"2015-01-14T14:00:00","publicationYear":"2015","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":"Total- and methyl-mercury concentrations and methylation rates across the freshwater to hypersaline continuum of the Great Salt Lake, Utah, USA","docAbstract":"We examined mercury (Hg) speciation in water and sediment of the Great Salt Lake and surrounding wetlands, a locale spanning fresh to hypersaline and oxic to anoxic conditions, in order to test the hypothesis that spatial and temporal variations in Hg concentration and methylation rates correspond to observed spatial and temporal trends in Hg burdens previously reported in biota. Water column, sediment, and pore water concentrations of methylmercury (MeHg) and total mercury (THg), as well as related aquatic chemical parameters were examined. Inorganic Hg(II)-methylation rates were determined in selected water column and sediment subsamples spiked with inorganic divalent mercury (204Hg(II)). Net production of Me204Hg was expressed as apparent first-order rate constants for methylation (kmeth), which were also expanded to MeHg production potential (MPP) rates via combination with tin reducible ‘reactive’ Hg(II) (Hg(II)R) as a proxy for bioavailable Hg(II). Notable findings include: 1) elevated Hg concentrations previously reported in birds and brine flies were spatially proximal to the measured highest MeHg concentrations, the latter occurring in the anoxic deep brine layer (DBL) of the Great Salt Lake; 2) timing of reduced Hg(II)-methylation rates in the DBL (according to both kmeth and MPP) coincides with reduced Hg burdens among aquatic invertebrates (brine shrimp and brine flies) that act as potential vectors of Hg propagation to the terrestrial ecosystem; 3) values ofkmeth were found to fall within the range reported by other studies; and 4) MPP rates were on the lower end of the range reported in methodologically comparable studies, suggesting the possibility that elevated MeHg in the anoxic deep brine layer results from its accumulation and persistence in this quasi-isolated environment, due to the absence of light (restricting abiotic photo demethylation) and/or minimal microbiological demethylation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.12.092","usgsCitation":"Johnson, W.P., Swanson, N., Black, B., Rudd, A., Carling, G., Fernandez, D.P., Luft, J., Van Leeuwen, J., and Marvin-DiPasquale, M.C., 2015, Total- and methyl-mercury concentrations and methylation rates across the freshwater to hypersaline continuum of the Great Salt Lake, Utah, USA: Science of the Total Environment, v. 511, p. 489-500, https://doi.org/10.1016/j.scitotenv.2014.12.092.","productDescription":"12 p.","startPage":"489","endPage":"500","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062111","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":297249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.77740478515624,\n 40.576412521044425\n ],\n [\n -112.77740478515624,\n 41.69752591075902\n ],\n [\n -111.75567626953124,\n 41.69752591075902\n ],\n [\n -111.75567626953124,\n 40.576412521044425\n ],\n [\n -112.77740478515624,\n 40.576412521044425\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"511","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac3e4b08de9379b31eb","contributors":{"authors":[{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":538430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Neil","contributorId":138698,"corporation":false,"usgs":false,"family":"Swanson","given":"Neil","email":"","affiliations":[{"id":12499,"text":"Univ. of Utah","active":true,"usgs":false}],"preferred":false,"id":538431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Brooks","contributorId":138699,"corporation":false,"usgs":false,"family":"Black","given":"Brooks","email":"","affiliations":[{"id":12499,"text":"Univ. of Utah","active":true,"usgs":false}],"preferred":false,"id":538432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudd, Abigail","contributorId":138700,"corporation":false,"usgs":false,"family":"Rudd","given":"Abigail","email":"","affiliations":[{"id":12500,"text":"Brooks-Rand LLC","active":true,"usgs":false}],"preferred":false,"id":538433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carling, Gregory 0000-0001-5820-125X","orcid":"https://orcid.org/0000-0001-5820-125X","contributorId":69459,"corporation":false,"usgs":false,"family":"Carling","given":"Gregory","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":538434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernandez, Diego P.","contributorId":138701,"corporation":false,"usgs":false,"family":"Fernandez","given":"Diego","email":"","middleInitial":"P.","affiliations":[{"id":12499,"text":"Univ. of Utah","active":true,"usgs":false}],"preferred":false,"id":538435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luft, John","contributorId":138702,"corporation":false,"usgs":false,"family":"Luft","given":"John","email":"","affiliations":[{"id":12501,"text":"State of Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":538436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Leeuwen, Jim","contributorId":138703,"corporation":false,"usgs":false,"family":"Van Leeuwen","given":"Jim","email":"","affiliations":[{"id":12501,"text":"State of Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":538437,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538438,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70137748,"text":"70137748 - 2015 - Lithologic and hydrologic controls of mixed alluvial-bedrock channels in flood-prone fluvial systems: bankfull and macrochannels in the Llano River watershed, central Texas, USA","interactions":[],"lastModifiedDate":"2015-01-14T13:07:42","indexId":"70137748","displayToPublicDate":"2015-01-14T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Lithologic and hydrologic controls of mixed alluvial-bedrock channels in flood-prone fluvial systems: bankfull and macrochannels in the Llano River watershed, central Texas, USA","docAbstract":"The rural and unregulated Llano River watershed located in central Texas, USA, has a highly variable flow regime and a wide range of instantaneous peak flows. Abrupt transitions in surface lithology exist along the main-stem channel course. Both of these characteristics afford an opportunity to examine hydrologic, lithologic, and sedimentary controls on downstream changes in channel morphology. Field surveys of channel topography and boundary composition are coupled with sediment analyses, hydraulic computations, flood-frequency analyses, and geographic information system mapping to discern controls on channel geometry (profile, pattern, and shape) and dimensions along the mixed alluvial-bedrock Llano River and key tributaries. Four categories of channel classification in a downstream direction include: (i) uppermost ephemeral reaches, (ii) straight or sinuous gravel-bed channels in Cretaceous carbonate sedimentary zones, (iii) straight or sinuous gravel-bed or bedrock channels in Paleozoic sedimentary zones, and (iv) straight, braided, or multithread mixed alluvial–bedrock channels with sandy beds in Precambrian igneous and metamorphic zones. Principal findings include: (i) a nearly linear channel profile attributed to resistant bedrock incision checkpoints; (ii) statistically significant correlations of both alluvial sinuosity and valley confinement to relatively high f (mean depth) hydraulic geometry values; (iii) relatively high b (width) hydraulic geometry values in partly confined settings with sinuous channels upstream from a prominent incision checkpoint; (iv) different functional flow categories including frequently occurring events (< 1.5-year return periods) that mobilize channel-bed material and less frequent events that determine bankfull channel (1.5- to 3-year return periods) and macrochannel (10- to 40-year return periods) dimensions; (v) macrochannels with high f values (most ≤ 0.45) that develop at sites with unit stream power values in excess of 200 watts per square meter (W/m2); and (vi) downstream convergence of hydraulic geometry exponents for bankfull and macrochannels, explained by co-increases of flood magnitude and noncohesive sandy sediments that collectively minimize development of alluvial bankfull indicators. Collectively, these findings indicate that mixed alluvial–bedrock channels exhibit first-order lithologic controls (lithologic resistance and valley confinement) of channel geometry, second-order hydrologic (flow regime) control of channel dimensions, and third-order sedimentary controls that exert subsidiary influence on channel shape and bed configuration.
","language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1016/j.geomorph.2014.12.033","usgsCitation":"Heitmuller, F.T., Hudson, P.F., and Asquith, W.H., 2015, Lithologic and hydrologic controls of mixed alluvial-bedrock channels in flood-prone fluvial systems: bankfull and macrochannels in the Llano River watershed, central Texas, USA: Geomorphology, v. 232, p. 1-19, https://doi.org/10.1016/j.geomorph.2014.12.033.","productDescription":"19 p.","startPage":"1","endPage":"19","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059853","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":297224,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Llano River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.56658935546875,\n 30.36102635890718\n ],\n [\n -98.56658935546875,\n 30.958768570779846\n ],\n [\n -97.83050537109375,\n 30.958768570779846\n ],\n [\n -97.83050537109375,\n 30.36102635890718\n ],\n [\n -98.56658935546875,\n 30.36102635890718\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"232","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a92e4b08de9379b3100","chorus":{"doi":"10.1016/j.geomorph.2014.12.033","url":"http://dx.doi.org/10.1016/j.geomorph.2014.12.033","publisher":"Elsevier BV","authors":"Heitmuller Franklin T., Hudson Paul F., Asquith William H.","journalName":"Geomorphology","publicationDate":"3/2015","auditedOn":"2/13/2015"},"contributors":{"authors":[{"text":"Heitmuller, Frank T.","contributorId":138602,"corporation":false,"usgs":false,"family":"Heitmuller","given":"Frank","email":"","middleInitial":"T.","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":538025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Paul F.","contributorId":138603,"corporation":false,"usgs":false,"family":"Hudson","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":12461,"text":"Leiden University College The Hague","active":true,"usgs":false}],"preferred":false,"id":538026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70137864,"text":"70137864 - 2015 - Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation","interactions":[],"lastModifiedDate":"2015-03-09T10:28:04","indexId":"70137864","displayToPublicDate":"2015-01-14T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation","docAbstract":"This study employs a hydrogeologic simulation approach to investigate subsurface fluid pressures for a landslide-prone section of the central California, USA, coast known as Devil's Slide. Understanding the relative changes in subsurface fluid pressures is important for systems, such as Devil's Slide, where slope creep can be interrupted by episodic slip events. Surface mapping, exploratory core, tunnel excavation records, and dip meter data were leveraged to conceptualize the parameter space for three-dimensional (3D) Devil's Slide-like simulations. Field observations (i.e. seepage meter, water retention, and infiltration experiments; well records; and piezometric data) and groundwater flow simulation (i.e. one-dimensional vertical, transient, and variably saturated) were used to design the boundary conditions for 3D Devil's Slide-like problems. Twenty-four simulations of steady-state saturated subsurface flow were conducted in a concept-development mode. Recharge, heterogeneity, and anisotropy are shown to increase fluid pressures for failure-prone locations by up to 18.1, 4.5, and 1.8% respectively. Previous estimates of slope stability, driven by simple water balances, are significantly improved upon with the fluid pressures reported here. The results, for a Devil's Slide-like system, provide a foundation for future investigations
","language":"English","publisher":"Wiley","publisherLocation":"Chichester, England","doi":"10.1002/hyp.10267","usgsCitation":"Thomas, M.A., Loague, K., and Voss, C.I., 2015, Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation: Hydrological Processes, v. 29, no. 6, p. 1450-1465, https://doi.org/10.1002/hyp.10267.","productDescription":"16 p.","startPage":"1450","endPage":"1465","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057308","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":297209,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.52433776855469,\n 37.57070524233116\n ],\n [\n -122.52433776855469,\n 37.586554436599386\n ],\n [\n -122.51051902770996,\n 37.586554436599386\n ],\n [\n -122.51051902770996,\n 37.57070524233116\n ],\n [\n -122.52433776855469,\n 37.57070524233116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-25","publicationStatus":"PW","scienceBaseUri":"54dd2a79e4b08de9379b308f","contributors":{"authors":[{"text":"Thomas, Matthew A.","contributorId":138657,"corporation":false,"usgs":false,"family":"Thomas","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12482,"text":"Department of Geological and Environmental Sciences, Stanford University, 450 Serra Mall, Building 320, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":538221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loague, Keith","contributorId":22408,"corporation":false,"usgs":true,"family":"Loague","given":"Keith","affiliations":[],"preferred":false,"id":538222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134307,"text":"tm3B10 - 2015 - U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data","interactions":[],"lastModifiedDate":"2015-01-13T15:17:29","indexId":"tm3B10","displayToPublicDate":"2015-01-13T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-B10","title":"U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data","docAbstract":"This report is a user guide for the streamflow-hydrograph analysis methods provided with version 1.0 of the U.S. Geological Survey (USGS) Groundwater Toolbox computer program. These include six hydrograph-separation methods to determine the groundwater-discharge (base-flow) and surface-runoff components of streamflow—the Base-Flow Index (BFI; Standard and Modified), HYSEP (Fixed Interval, Sliding Interval, and Local Minimum), and PART methods—and the RORA recession-curve displacement method and associated RECESS program to estimate groundwater recharge from streamflow data. The Groundwater Toolbox is a customized interface built on the nonproprietary, open source MapWindow geographic information system software. The program provides graphing, mapping, and analysis capabilities in a Microsoft Windows computing environment. In addition to the four hydrograph-analysis methods, the Groundwater Toolbox allows for the retrieval of hydrologic time-series data (streamflow, groundwater levels, and precipitation) from the USGS National Water Information System, downloading of a suite of preprocessed geographic information system coverages and meteorological data from the National Oceanic and Atmospheric Administration National Climatic Data Center, and analysis of data with several preprocessing and postprocessing utilities. With its data retrieval and analysis tools, the Groundwater Toolbox provides methods to estimate many of the components of the water budget for a hydrologic basin, including precipitation; streamflow; base flow; runoff; groundwater recharge; and total, groundwater, and near-surface evapotranspiration.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Ground-water techniques in Book 3 Applications of Hydraulics","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3B10","usgsCitation":"Barlow, P.M., Cunningham, W.L., Zhai, T., and Gray, M., 2015, U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data: U.S. Geological Survey Techniques and Methods 3-B10, Report: vii, 27 p.; Groundwater Toolbox, https://doi.org/10.3133/tm3B10.","productDescription":"Report: vii, 27 p.; Groundwater Toolbox","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056037","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":297199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm3B10.jpg"},{"id":297197,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/03/b10/pdf/tm3-b10.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297198,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://water.usgs.gov/ogw/gwtoolbox/","text":"Groundwater Toolbox","description":"Groundwater Toolbox","linkHelpText":"A graphical and mapping interface for analysis of hydrologic data"},{"id":297196,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/03/b10/"}],"publicComments":"This report is Chapter 10 of Section B: Ground-water techniques in Book 3 Applications of Hydraulics.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac4e4b08de9379b31f3","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":525799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, William L. wcunning@usgs.gov","contributorId":1198,"corporation":false,"usgs":true,"family":"Cunningham","given":"William","email":"wcunning@usgs.gov","middleInitial":"L.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":525800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhai, Tong","contributorId":127595,"corporation":false,"usgs":false,"family":"Zhai","given":"Tong","email":"","affiliations":[{"id":7072,"text":"Aqua Terra Consultants","active":true,"usgs":false}],"preferred":false,"id":525802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Mark","contributorId":127594,"corporation":false,"usgs":false,"family":"Gray","given":"Mark","email":"","affiliations":[{"id":7072,"text":"Aqua Terra Consultants","active":true,"usgs":false}],"preferred":false,"id":525801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70137253,"text":"70137253 - 2015 - Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","interactions":[],"lastModifiedDate":"2015-06-02T11:09:36","indexId":"70137253","displayToPublicDate":"2015-01-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1534,"text":"Environmental Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA","docAbstract":"Groundwater with elevated dissolved-solids concentrations—containing large concentrations of chloride, sodium, sulfate, and calcium—is present in the Mud Lake area of Eastern Idaho. The source of these solutes is unknown; however, an understanding of the geochemical sources and processes controlling their presence in groundwater in the Mud Lake area is needed to better understand the geochemical sources and processes controlling the water quality of groundwater at the Idaho National Laboratory. The geochemical sources and processes controlling the water quality of groundwater in the Mud Lake area were determined by investigating the geology, hydrology, land use, and groundwater geochemistry in the Mud Lake area, proposing sources for solutes, and testing the proposed sources through geochemical modeling with PHREEQC. Modeling indicated that sources of water to the eastern Snake River Plain aquifer were groundwater from the Beaverhead Mountains and the Camas Creek drainage basin; surface water from Medicine Lodge and Camas Creeks, Mud Lake, and irrigation water; and upward flow of geothermal water from beneath the aquifer. Mixing of groundwater with surface water or other groundwater occurred throughout the aquifer. Carbonate reactions, silicate weathering, and dissolution of evaporite minerals and fertilizer explain most of the changes in chemistry in the aquifer. Redox reactions, cation exchange, and evaporation were locally important. The source of large concentrations of chloride, sodium, sulfate, and calcium was evaporite deposits in the unsaturated zone associated with Pleistocene Lake Terreton. Large amounts of chloride, sodium, sulfate, and calcium are added to groundwater from irrigation water infiltrating through lake bed sediments containing evaporite deposits and the resultant dissolution of gypsum, halite, sylvite, and bischofite.
","language":"English","publisher":"Springer","doi":"10.1007/s12665-014-3988-9","usgsCitation":"Rattray, G.W., 2015, Geochemical evolution of groundwater in the Mud Lake area, eastern Idaho, USA: Environmental Earth Sciences, v. 73, no. 12, p. 8251-8269, https://doi.org/10.1007/s12665-014-3988-9.","productDescription":"19 p.","startPage":"8251","endPage":"8269","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054801","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":472341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12665-014-3988-9","text":"Publisher Index Page"},{"id":297528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Mud Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.09228515624999,\n 49.009050809382046\n ],\n [\n -117.158203125,\n 42.04929263868686\n ],\n [\n -111.005859375,\n 42.01665183556825\n ],\n [\n -111.11572265625,\n 44.77793589631623\n ],\n [\n -116.08154296875001,\n 48.99463598353408\n ],\n [\n -117.09228515624999,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"73","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-10","publicationStatus":"PW","scienceBaseUri":"54dd2a7de4b08de9379b30a4","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537579,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70125302,"text":"sir20145180 - 2015 - Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","interactions":[],"lastModifiedDate":"2015-01-26T13:04:17","indexId":"sir20145180","displayToPublicDate":"2015-01-07T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5180","title":"Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","docAbstract":"Digital flood-inundation maps for a 39.7-mile reach of the Blue River and selected tributaries (Brush Creek, Indian Creek, and Dyke Branch) at Kansas City, Missouri, and vicinity, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Kansas City, Missouri. The flood-inundation maps, accessed through the USGS Flood-Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the spatial extent and depth of flooding corresponding to selected water levels (stages) at 15 reference streamgages and associated stream reaches in the Blue River Basin. Near-real-time stage data from the streamgages may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at selected sites.
\n\n
Flood profiles were computed for each of 15 reaches by means of one-dimensional or two-dimensional hydraulic models. The models were calibrated by using the current stage-streamflow relations at 10 USGS streamgages and documented high-water marks from the flood of June 14, 2010. Hydraulic models were then used to compute water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the National Weather Service Action stage, or near bankfull streamflow, through the stage corresponding to, or exceeding, the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood).
\n\n
The simulated water-surface profiles were then combined with a geographic information system (GIS) terrain model derived from light detection and ranging (lidar) data having a vertical accuracy of less than 0.6 foot and maximum nominal horizontal post spacing of 2.46–3.28 feet to delineate the area flooded at each 1-foot increment of stage. The availability of these flood-inundation maps, along with Internet information regarding current stage from the USGS streamgages and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
\n\n
Additional information in this report includes maps of simulated stream velocity for an 8.2-mile, two-dimensional modeled reach of the Blue River and a Wetland Restoration Suitability Index (WRSI) generated for the study area that was based on hydrologic, topographic, and land-use digital feature layers. The calculated WRSI for the selected flood-plain area ranged from 1 (least suitable for possible wetland mitigation efforts) to 10 (most suitable for possible wetland mitigation efforts). A WRSI of 5 to 10 is most closely associated with existing riparian wetlands in the study area. The WRSI allows for the identification of lands along the Blue River and selected tributaries that are most suitable for restoration or creation of wetlands. Alternatively, the index can be used to identify and avoid disturbances to areas with the highest potential to support healthy sustainable riparian wetlands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145180","usgsCitation":"Heimann, D.C., Kelly, B.P., and Studley, S.E., 2015, Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5180, Report: vii, 23 p.; 7 Tables; Geospatial Data Files, https://doi.org/10.3133/sir20145180.","productDescription":"Report: vii, 23 p.; 7 Tables; Geospatial Data Files","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058050","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":297020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145180.jpg"},{"id":297016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5180/"},{"id":297017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5180/pdf/sir2014-5180.pdf","text":"Report","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297018,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/tables_sir2014-5180/","text":"Tables 1, 2, 3, 5, 6, and 8","description":"Tables"},{"id":297019,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/gis_data/","text":"Geospatial Data Files","description":"Geospatial Data Files","linkHelpText":"Contains flood-inundation shapefiles, water-depth grid files, and Wetland Restoration Suitability Index raster file"}],"country":"United States","state":"Missouri","city":"Kansas City","otherGeospatial":"Blue River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.63348388671875,\n 39.11407918425643\n ],\n [\n -94.48104858398438,\n 39.11407918425643\n ],\n [\n -94.48791503906249,\n 39.0373196521048\n ],\n [\n -94.64035034179688,\n 39.04265287290379\n ],\n [\n -94.63348388671875,\n 39.11407918425643\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a77e4b08de9379b3087","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":519491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Studley, Seth E. sstudley@usgs.gov","contributorId":5916,"corporation":false,"usgs":true,"family":"Studley","given":"Seth","email":"sstudley@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":519493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176486,"text":"70176486 - 2015 - Modelling the effects of seasonality and socioeconomic impact on the transmission of Rift Valley fever virus","interactions":[],"lastModifiedDate":"2016-09-19T14:51:40","indexId":"70176486","displayToPublicDate":"2015-01-01T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Modelling the effects of seasonality and socioeconomic impact on the transmission of Rift Valley fever virus","docAbstract":"Rift Valley fever (RVF) is an important mosquito-borne viral zoonosis in Africa and the Middle East that causes human deaths and significant economic losses due to huge incidences of death and abortion among infected livestock. Outbreaks of RVF are sporadic and associated with both seasonal and socioeconomic effects. Here we propose an almost periodic three-patch model to investigate the transmission dynamics of RVF virus (RVFV) among ruminants with spatial movements. Our findings indicate that, in Northeastern Africa, human activities, including those associated with the Eid al Adha feast, along with a combination of climatic factors such as rainfall level and hydrological variations, contribute to the transmission and dispersal of the disease pathogen. Moreover, sporadic outbreaks may occur when the two events occur together: 1) abundant livestock are recruited into areas at risk from RVF due to the demand for the religious festival and 2) abundant numbers of mosquitoes emerge. These two factors have been shown to have impacts on the severity of RVF outbreaks. Our numerical results present the transmission dynamics of the disease pathogen over both short and long periods of time, particularly during the festival time. Further, we investigate the impact on patterns of disease outbreaks in each patch brought by festival- and seasonal-driven factors, such as the number of livestock imported daily, the animal transportation speed from patch to patch, and the death rate induced by ceremonial sacrifices. In addition, our simulations show that when the time for festival preparation starts earlier than usual, the risk of massive disease outbreaks rises, particularly in patch 3 (the place where the religious ceremony will be held).
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pntd.0003388","usgsCitation":"Xiao, Y., Beier, J.C., Cantrell, R.S., Cosner, C., DeAngelis, D., and Ruan, S., 2015, Modelling the effects of seasonality and socioeconomic impact on the transmission of Rift Valley fever virus: PLoS Neglected Tropical Diseases, v. 9, no. 1, e3388; 16 p., https://doi.org/10.1371/journal.pntd.0003388.","productDescription":"e3388; 16 p.","ipdsId":"IP-069796","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":472349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0003388","text":"Publisher Index Page"},{"id":328737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-08","publicationStatus":"PW","scienceBaseUri":"57f7ee45e4b0bc0bec09e979","contributors":{"authors":[{"text":"Xiao, Yanyu","contributorId":174666,"corporation":false,"usgs":false,"family":"Xiao","given":"Yanyu","email":"","affiliations":[{"id":27495,"text":"Dept. of Mathematics, University of Miami","active":true,"usgs":false}],"preferred":false,"id":649027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beier, John C.","contributorId":174665,"corporation":false,"usgs":false,"family":"Beier","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27490,"text":"Dept. of Public Health Sciences, Miller School of Medicine, University of Miami","active":true,"usgs":false}],"preferred":false,"id":649028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cantrell, Robert Stephen","contributorId":174667,"corporation":false,"usgs":false,"family":"Cantrell","given":"Robert","email":"","middleInitial":"Stephen","affiliations":[{"id":27495,"text":"Dept. of Mathematics, University of Miami","active":true,"usgs":false}],"preferred":false,"id":649029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosner, Chris","contributorId":38698,"corporation":false,"usgs":true,"family":"Cosner","given":"Chris","email":"","affiliations":[],"preferred":false,"id":649030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":649031,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruan, Shigui","contributorId":174697,"corporation":false,"usgs":false,"family":"Ruan","given":"Shigui","email":"","affiliations":[],"preferred":false,"id":649032,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70202414,"text":"70202414 - 2015 - New information and guidance for collapsible bag-type sediment samplers","interactions":[],"lastModifiedDate":"2019-03-01T12:45:49","indexId":"70202414","displayToPublicDate":"2015-01-01T12:45:43","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"New information and guidance for collapsible bag-type sediment samplers","docAbstract":"Answers for many critical water-related issues require solid-phase water-quality data that are representative, accurate, and consistent. Collection of suspended sediment samples for subsequent analyses of solid-phase constituents that represent water-column sediment concentrations requires use of appropriate isokinetic samplers and sampling techniques (Davis, 2005a). Recent review of field and laboratory data indicates that the Federal Interagency Sedimentation Project (FISP) collapsible bag-type sediment samplers may not function isokinetically under certain low velocity and/or low temperature conditions. Updated guidance and operational limits for FISP bag-type samplers were issued in FISP Memorandum 2013.01 (2013). This paper describes new information and guidance for operation of FISP bag-type samplers and ongoing efforts to further characterize the factors that influence bag-type sampler efficiency.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"SEDHYD 2015 Conference Proceedings","usgsCitation":"Landers, M.N., Sabol, T.A., Manning, M.A., Anderson, J.R., and Sannes, C., 2015, New information and guidance for collapsible bag-type sediment samplers, in Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference, Reno, NV, April 19-23, 2015, p. 458-467.","productDescription":"10 p.","startPage":"458","endPage":"467","ipdsId":"IP-062083","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":361642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361641,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Landers, Mark N. 0000-0002-3014-0480 landers@usgs.gov","orcid":"https://orcid.org/0000-0002-3014-0480","contributorId":1103,"corporation":false,"usgs":true,"family":"Landers","given":"Mark","email":"landers@usgs.gov","middleInitial":"N.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":758305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":758306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Michael A. mmanning@usgs.gov","contributorId":1994,"corporation":false,"usgs":true,"family":"Manning","given":"Michael","email":"mmanning@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Jessica R. 0000-0002-3286-7552 jranderson@usgs.gov","orcid":"https://orcid.org/0000-0002-3286-7552","contributorId":193158,"corporation":false,"usgs":true,"family":"Anderson","given":"Jessica","email":"jranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sannes, Corey","contributorId":213701,"corporation":false,"usgs":true,"family":"Sannes","given":"Corey","email":"","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758310,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70137511,"text":"70137511 - 2015 - Numerical computation of hurricane effects on historic coastal hydrology in Southern Florida","interactions":[],"lastModifiedDate":"2015-07-15T13:40:34","indexId":"70137511","displayToPublicDate":"2015-01-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1460,"text":"Ecological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Numerical computation of hurricane effects on historic coastal hydrology in Southern Florida","docAbstract":"Introduction
\nNumerical models are critical for assessing the effects of sea level rise (SLR), hurricanes, and storm surge on vegetation change in the Everglades National Park. The model must be capable of representing short-timescale hydrodynamics, salinity transport, and groundwater interaction. However, there is also a strong need to adapt these numerical models to hindcast past conditions in order to examine long-term effects on the distribution of vegetation that cannot be determined using only the modern record.
\nMethods
\nBased on parameters developed for a numerical model developed for the recent 1996 to 2004 period, a hindcast model was developed to represent sea level and water management for the period of 1926 to 1932, constrained by the limited hydrology and meteorology data available from the historic past. Realistic hurricane-wind and storm surge representations, required for the hindcast model, are based on information synthesized from modern storm data. A series of simulation scenarios with various hurricane representations inserted into both hindcast and recent numerical models were used to assess the utility of the storm representation in the model and compare the two simulations.
\nResults
\nThe comparison of the hindcast and recent models showed differences in the hydrology patterns that are consistent with known differences in water delivery systems and sea level rise. A 30x lower-resolution spatially variable wind grid for the hindcast produced similar results to the original high-resolution full wind grid representation of the recent simulation. Storm effects on hydrologic patterns demonstrated with the simulations show hydrologic processes that could have a long-term effect on vegetation change.
\nConclusions
\nThe hindcast simulation estimated hydrologic processes for the 1926 to 1932 period. It shows promise as a simulator in long-term ecological studies to test hypotheses based on theoretical or empirical-based studies at larger landscape scales.
","language":"English","publisher":"Springer","publisherLocation":"Heidelberg","doi":"10.1186/s13717-014-0028-3","usgsCitation":"Swain, E.D., Krohn, M.D., and Langtimm, C.A., 2015, Numerical computation of hurricane effects on historic coastal hydrology in Southern Florida: Ecological Processes, v. 4, no. 4, p. 1-20, https://doi.org/10.1186/s13717-014-0028-3.","productDescription":"20 p.","startPage":"1","endPage":"20","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052939","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":472354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13717-014-0028-3","text":"Publisher Index Page"},{"id":299454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.716064453125,\n 27.381523191705053\n ],\n [\n -82.232666015625,\n 26.43122806450644\n ],\n [\n -81.112060546875,\n 25.045792240303445\n ],\n [\n -80.26611328125,\n 25.16517336866393\n ],\n [\n -80.057373046875,\n 25.720735134412106\n ],\n [\n -79.969482421875,\n 26.79465448763808\n ],\n [\n -80.540771484375,\n 28.323724553546015\n ],\n [\n -82.716064453125,\n 27.381523191705053\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-12","publicationStatus":"PW","scienceBaseUri":"5524ffb0e4b027f0aee3d47f","contributors":{"authors":[{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krohn, M. Dennis dkrohn@usgs.gov","contributorId":3378,"corporation":false,"usgs":true,"family":"Krohn","given":"M.","email":"dkrohn@usgs.gov","middleInitial":"Dennis","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":537829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70157352,"text":"70157352 - 2015 - Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity","interactions":[],"lastModifiedDate":"2017-01-18T10:08:03","indexId":"70157352","displayToPublicDate":"2015-01-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity","docAbstract":"Detailed information about coastal inundation is vital to understanding dynamic and populated areas that are impacted by storm surge and flooding. To understand these natural hazard risks, lidar elevation surfaces are frequently used to model inundation in coastal areas. A single-value surface method is sometimes used to inundate areas in lidar elevation surfaces that are below a specified elevation value. However, such an approach does not take into consideration hydrologic connectivity between elevation grids cells resulting in inland areas that should be hydrologically connected to the ocean, but are not. Because inland areas that should drain to the ocean are hydrologically disconnected by raised features in a lidar elevation surface, simply raising the water level to propagate coastal inundation will lead to inundation uncertainties. We took advantage of this problem to identify hydrologically disconnected inland areas to point out that they should be considered for coastal inundation, and that a lidar-based hydrologic surface should be developed with hydrologic connectivity prior to inundation analysis. The process of achieving hydrologic connectivity with hydrologic-enforcement is not new, however, the application of hydrologically-enforced lidar elevation surfaces for improved coastal inundation mapping as approached in this research is innovative. In this article, we propagated a high-resolution lidar elevation surface in coastal Staten Island, New York to demonstrate that inland areas lacking hydrologic connectivity to the ocean could potentially be included in inundation delineations. For inland areas that were hydrologically disconnected, we evaluated if drainage to the ocean was evident, and calculated an area exceeding 11 ha (~0.11 km2) that could be considered in inundation delineations. We also assessed land cover for each inland area to determine the type of physical surfaces that would be potentially impacted if the inland areas were considered as part of a coastal inundation. A visual analysis indicated that developed, medium intensity and palustrine forested wetland land cover types would be impacted for those locations. This article demonstrates that hydrologic connectivity is an important factor to consider when inundating a lidar elevation surface. This information is needed for inundation monitoring and management in sensitive coastal regions.
","language":"English","publisher":"Molecular Diversity Preservation International","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs70911695","usgsCitation":"Poppenga, S.K., and Worstell, B.B., 2015, Evaluation of airborne lidar elevation surfaces for propagation of coastal inundation: the importance of hydrologic connectivity: Remote Sensing, v. 7, no. 9, p. 11695-11711, https://doi.org/10.3390/rs70911695.","productDescription":"17 p.","startPage":"11695","endPage":"11711","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066299","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70911695","text":"Publisher Index Page"},{"id":308441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"9","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"5603cd3be4b03bc34f544afd","contributors":{"authors":[{"text":"Poppenga, Sandra K. 0000-0002-2846-6836 spoppenga@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-6836","contributorId":3327,"corporation":false,"usgs":true,"family":"Poppenga","given":"Sandra","email":"spoppenga@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":572815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worstell, Bruce B. 0000-0001-8927-3336 worstell@usgs.gov","orcid":"https://orcid.org/0000-0001-8927-3336","contributorId":1815,"corporation":false,"usgs":true,"family":"Worstell","given":"Bruce","email":"worstell@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":572816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157418,"text":"70157418 - 2015 - Multiscale hydrogeomorphic influences on bull trout (Salvelinus confluentus) spawning habitat","interactions":[],"lastModifiedDate":"2015-09-23T10:13:27","indexId":"70157418","displayToPublicDate":"2015-01-01T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale hydrogeomorphic influences on bull trout (Salvelinus confluentus) spawning habitat","docAbstract":"We investigated multiscale hydrogeomorphic influences on the distribution and abundance of bull trout (Salvelinus confluentus) spawning in snowmelt-dominated streams of the upper Flathead River basin, northwestern Montana. Within our study reaches, bull trout tended to spawn in the finest available gravel substrates. Analysis of the mobility of these substrates, based on one-dimensional hydraulic modeling and calculation of dimensionless shear stresses, indicated that bed materials in spawning reaches would be mobilized at moderate (i.e., 2-year recurrence interval) high-flow conditions, although the asynchronous timing of the fall–winter egg incubation period and typical late spring – early summer snowmelt high flows in our study area may limit susceptibility to redd scour under current hydrologic regimes. Redd occurrence also tended to be associated with concave-up bedforms (pool tailouts) with downwelling intragravel flows. Streambed temperatures tracked stream water diurnal temperature cycles to a depth of at least 25 cm, averaging 6.1–8.1 °C in different study reaches during the spawning period. Ground water provided thermal moderation of stream water for several high-density spawning reaches. Bull trout redds were more frequent in unconfined alluvial valley reaches (8.5 versus 5.0 redds·km−1 in confined valley reaches), which were strongly influenced by hyporheic and groundwater – stream water exchange. A considerable proportion of redds were patchily distributed in confined valley reaches, however, emphasizing the influence of local physical conditions in supporting bull trout spawning habitat. Moreover, narrowing or “bounding” of these alluvial valley segments did not appear to be important. Our results suggest that geomorphic, thermal, and hydrological factors influence bull trout spawning occurrence at multiple spatial scales.
","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa","doi":"10.1139/cjfas-2013-0534","usgsCitation":"Bean, J.R., Wilcox, A., Woessner, W.W., and Muhlfeld, C.C., 2015, Multiscale hydrogeomorphic influences on bull trout (Salvelinus confluentus) spawning habitat: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 4, p. 514-526, https://doi.org/10.1139/cjfas-2013-0534.","productDescription":"13 p.","startPage":"514","endPage":"526","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052296","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":308423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5603cd53e4b03bc34f544b2d","contributors":{"authors":[{"text":"Bean, Jared R","contributorId":147876,"corporation":false,"usgs":false,"family":"Bean","given":"Jared","email":"","middleInitial":"R","affiliations":[{"id":16951,"text":"Department of Geosciences, University of Montana, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":573094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilcox, Andrew C.","contributorId":25064,"corporation":false,"usgs":true,"family":"Wilcox","given":"Andrew C.","affiliations":[],"preferred":false,"id":573095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woessner, William W.","contributorId":147877,"corporation":false,"usgs":false,"family":"Woessner","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":16951,"text":"Department of Geosciences, University of Montana, Missoula, MT 59812, USA","active":true,"usgs":false}],"preferred":false,"id":573096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":573093,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187015,"text":"70187015 - 2015 - Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico","interactions":[],"lastModifiedDate":"2017-04-19T10:34:45","indexId":"70187015","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico","docAbstract":"The prospect of changing climate has led to uncertainty about the resilience of forested mountain watersheds in the tropics. In watersheds where frequent, high rainfall provides ample runoff, we often lack understanding of how the system will respond under conditions of decreased rainfall or drought. Factors that govern water supply, such as recharge rates and groundwater storage capacity, may be poorly quantified. This paper describes 8-year data sets of water stable isotope composition (δ2H and δ18O) of precipitation (4 sites) and a stream (1 site), and four contemporaneous stream sample sets of solute chemistry and isotopes, used to investigate watershed response to precipitation inputs in the 1780-ha Río Mameyes basin in the Luquillo Mountains of northeastern Puerto Rico. Extreme δ2H and δ18O values from low-pressure storm systems and the deuterium excess (d-excess) were useful tracers of watershed response in this tropical system. A hydrograph separation experiment performed in June 2011 yielded different but complementary information from stable isotope and solute chemistry data. The hydrograph separation results indicated that 36% of the storm rain that reached the soil surface left the watershed in a very short time as runoff. Weathering-derived solutes indicated near-stream groundwater was displaced into the stream at the beginning of the event, followed by significant dilution. The more biologically active solutes exhibited a net flushing behavior. The d-excess analysis suggested that streamflow typically has a recent rainfall component (∼25%) with transit time less than the sampling resolution of 7 days, and a more well-mixed groundwater component (∼75%). The contemporaneous stream sample sets showed an overall increase in dissolved solute concentrations with decreasing elevation that may be related to groundwater inputs, different geology, and slope position. A considerable amount of water from rain events runs off as quickflow and bypasses subsurface watershed flowpaths, and better understanding of shallow hillslope and deeper groundwater processes in the watershed will require sub-weekly data and detailed transit time modeling. A combined isotopic and solute chemistry approach can guide further studies to a more comprehensive model of the hydrology, and inform decisions for managing water supply with future changes in climate and land use.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.03.008","usgsCitation":"Scholl, M.A., Shanley, J.B., Murphy, S.F., Willenbring, J.K., Occhi, M., and Gonzalez, G., 2015, Stable-isotope and solute-chemistry approaches to flow characterization in a forested tropical watershed, Luquillo Mountains, Puerto Rico: Applied Geochemistry, v. 63, p. 484-497, https://doi.org/10.1016/j.apgeochem.2015.03.008.","productDescription":"14 p.","startPage":"484","endPage":"497","ipdsId":"IP-063619","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":472425,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/4rh0q3tv","text":"External Repository"},{"id":339930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.96397399902344,\n 18.173254472950752\n ],\n [\n -65.6048583984375,\n 18.173254472950752\n ],\n [\n -65.6048583984375,\n 18.394927021680232\n ],\n [\n -65.96397399902344,\n 18.394927021680232\n ],\n [\n -65.96397399902344,\n 18.173254472950752\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"63","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877bbe4b0b7ea54521c32","contributors":{"authors":[{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":691897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","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":691898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":691899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willenbring, Jane K","contributorId":191115,"corporation":false,"usgs":false,"family":"Willenbring","given":"Jane","email":"","middleInitial":"K","affiliations":[],"preferred":false,"id":691900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Occhi, Marcie","contributorId":191116,"corporation":false,"usgs":false,"family":"Occhi","given":"Marcie","affiliations":[],"preferred":false,"id":691901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Grizelle","contributorId":191117,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Grizelle","email":"","affiliations":[],"preferred":false,"id":691902,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189465,"text":"70189465 - 2015 - Identifying sediment sources in the sediment TMDL process","interactions":[],"lastModifiedDate":"2017-07-13T13:10:35","indexId":"70189465","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Identifying sediment sources in the sediment TMDL process","docAbstract":"Sediment is an important pollutant contributing to aquatic-habitat degradation in many waterways of the United States. This paper discusses the application of sediment budgets in conjunction with sediment fingerprinting as tools to determine the sources of sediment in impaired waterways. These approaches complement monitoring, assessment, and modeling of sediment erosion, transport, and storage in watersheds. Combining the sediment fingerprinting and sediment budget approaches can help determine specific adaptive management plans and techniques applied to targeting hot spots or areas of high erosion.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference)","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, VA","language":"English","usgsCitation":"Gellis, A., Fitzpatrick, F., Schubauer-Berigan, J.P., Landy, R., and Gorman Sanisaca, L., 2015, Identifying sediment sources in the sediment TMDL process, in Proceedings of the 3rd Joint Federal Interagency Conference (10th Federal Interagency Sedimentation Conference and 5th Federal Interagency Hydrologic Modeling Conference), Reno, VA, April 19-23, 2015, p. 1983-1991.","productDescription":"9 p.","startPage":"1983","endPage":"1991","ipdsId":"IP-062527","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":343799,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/Proceedings.pdf"},{"id":343800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596886a2e4b0d1f9f05f59ca","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":704787,"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":704788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schubauer-Berigan, Joseph P.","contributorId":106220,"corporation":false,"usgs":true,"family":"Schubauer-Berigan","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":704789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landy, R.B.","contributorId":101360,"corporation":false,"usgs":true,"family":"Landy","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":704790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorman Sanisaca, Lillian E. 0000-0003-1711-3864 lgormansanisaca@usgs.gov","orcid":"https://orcid.org/0000-0003-1711-3864","contributorId":172247,"corporation":false,"usgs":true,"family":"Gorman Sanisaca","given":"Lillian E.","email":"lgormansanisaca@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":704791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70189623,"text":"70189623 - 2015 - Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System","interactions":[],"lastModifiedDate":"2017-07-19T10:43:46","indexId":"70189623","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2070,"text":"International Journal of Rock Mechanics and Mining Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System","docAbstract":"Creation of an Enhanced Geothermal System relies on stimulation of fracture permeability through self-propping shear failure that creates a complex fracture network with high surface area for efficient heat transfer. In 2010, shear stimulation was carried out in well 27-15 at Desert Peak geothermal field, Nevada, by injecting cold water at pressure less than the minimum principal stress. An order-of-magnitude improvement in well injectivity was recorded. Here, we describe a numerical model that accounts for injection-induced stress changes and permeability enhancement during this stimulation. In a two-part study, we use the coupled thermo-hydrological-mechanical simulator FEHM to: (i) construct a wellbore model for non-steady bottom-hole temperature and pressure conditions during the injection, and (ii) apply these pressures and temperatures as a source term in a numerical model of the stimulation. In this model, a Mohr-Coulomb failure criterion and empirical fracture permeability is developed to describe permeability evolution of the fractured rock. The numerical model is calibrated using laboratory measurements of material properties on representative core samples and wellhead records of injection pressure and mass flow during the shear stimulation. The model captures both the absence of stimulation at low wellhead pressure (WHP ≤1.7 and ≤2.4 MPa) as well as the timing and magnitude of injectivity rise at medium WHP (3.1 MPa). Results indicate that thermoelastic effects near the wellbore and the associated non-local stresses further from the well combine to propagate a failure front away from the injection well. Elevated WHP promotes failure, increases the injection rate, and cools the wellbore; however, as the overpressure drops off with distance, thermal and non-local stresses play an ongoing role in promoting shear failure at increasing distance from the well.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijrmms.2015.06.003","usgsCitation":"Dempsey, D., Kelkar, S., Davatzes, N., Hickman, S.H., and Moos, D., 2015, Numerical modeling of injection, stress and permeability enhancement during shear stimulation at the Desert Peak Enhanced Geothermal System: International Journal of Rock Mechanics and Mining Sciences, v. 78, p. 190-206, https://doi.org/10.1016/j.ijrmms.2015.06.003.","productDescription":"17 p.","startPage":"190","endPage":"206","ipdsId":"IP-065414","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472392,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1468563","text":"Publisher Index Page"},{"id":344012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.68530273437499,\n 39.884450178234395\n ],\n [\n -117.56469726562499,\n 39.884450178234395\n ],\n [\n -117.56469726562499,\n 40.6056120582602\n ],\n [\n -118.68530273437499,\n 40.6056120582602\n ],\n [\n -118.68530273437499,\n 39.884450178234395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fbae4b0d1f9f065a8d4","contributors":{"authors":[{"text":"Dempsey, David","contributorId":194844,"corporation":false,"usgs":false,"family":"Dempsey","given":"David","email":"","affiliations":[],"preferred":false,"id":705475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelkar, Sharad","contributorId":194845,"corporation":false,"usgs":false,"family":"Kelkar","given":"Sharad","email":"","affiliations":[],"preferred":false,"id":705476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davatzes, Nick","contributorId":194846,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nick","email":"","affiliations":[],"preferred":false,"id":705477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moos, Daniel","contributorId":194847,"corporation":false,"usgs":false,"family":"Moos","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":705478,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70161815,"text":"70161815 - 2015 - Land subsidence in the San Joaquin Valley, California, USA, 2007-14","interactions":[],"lastModifiedDate":"2017-04-25T10:26:26","indexId":"70161815","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5272,"text":"Proceedings of the International Association of Hydrological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Land subsidence in the San Joaquin Valley, California, USA, 2007-14","docAbstract":"Rapid land subsidence was recently measured using multiple methods in two areas of the San Joaquin Valley (SJV): between Merced and Fresno (El Nido), and between Fresno and Bakersfield (Pixley). Recent land-use changes and diminished surface-water availability have led to increased groundwater pumping, groundwater-level declines, and land subsidence. Differential land subsidence has reduced the flow capacity of water-conveyance systems in these areas, exacerbating flood hazards and affecting the delivery of irrigation water.
Vertical land-surface changes during 2007–2014 were determined by using Interferometric Synthetic Aperture Radar (InSAR), Continuous Global Positioning System (CGPS), and extensometer data. Results of the InSAR analysis indicate that about 7600 km2 subsided 50–540 mm during 2008–2010; CGPS and extensometer data indicate that these rates continued or accelerated through December 2014. The maximum InSAR-measured rate of 270 mm yr−1 occurred in the El Nido area, and is among the largest rates ever measured in the SJV. In the Pixley area, the maximum InSAR-measured rate during 2008–2010 was 90 mm yr−1. Groundwater was an important part of the water supply in both areas, and pumping increased when land use changed or when surface water was less available. This increased pumping caused groundwater-level declines to near or below historical lows during the drought periods 2007–2009 and 2012–present.
Long-term groundwater-level and land-subsidence monitoring in the SJV is critical for understanding the interconnection of land use, groundwater levels, and subsidence, and evaluating management strategies that help mitigate subsidence hazards to infrastructure while optimizing water supplies.
Pathogens or biocolloids mobilized in the vadose zone may consequently contaminate groundwater. We found that microspheres were mobilized from a fractured soil during intermittent rainfall and the mobilization was greater when the microsphere size was larger and when the soil had greater water permeability.
The vadose zone filters pathogenic microbes from infiltrating water and consequently protects the groundwater from possible contamination. In some cases, however, the deposited microbes may be mobilized during rainfall and migrate into the groundwater. We examined the mobilization of microspheres, surrogates for microbes, in an intact core of a fractured soil by intermittent simulated rainfall. Fluorescent polystyrene microspheres of two sizes (0.5 and 1.8 mm) and Br− were first applied to the core to deposit the microspheres, and then the core was subjected to three intermittent infiltration events to mobilize the deposited microspheres. Collecting effluent samples through a 19-port sampler at the base of the core, we found that water flowed through only five ports, and the flow rates varied among the ports by a factor of 12. These results suggest that flow paths leading to the ports had different permeabilities, partly due to macropores. Although 40 to 69% of injected microspheres were retained in the core during their application, 12 to 30% of the retained microspheres were mobilized during three intermittent infiltration events. The extent of microsphere mobilization was greater in flow paths with greater permeability, which indicates that macropores could enhance colloid mobilization during intermittent infiltration events. In all ports, the 1.8-mm microspheres were mobilized to a greater extent than the 0.5-mm microspheres, suggesting that larger colloids are more likely to mobilize. These results are useful in assessing the potential of pathogen mobilization and colloid-facilitated transport of contaminants in the subsurface under natural infiltration events.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2014.05.0058","usgsCitation":"Mohanty, S., Bulicek, M., Metge, D.W., Harvey, R.W., Ryan, J.N., and Boehm, A., 2015, Mobilization of microspheres from a fractured soil during intermittent infiltration events: Vadose Zone Journal, v. 14, no. 1, https://doi.org/10.2136/vzj2014.05.0058.","ipdsId":"IP-060563","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1582084","text":"Publisher Index Page"},{"id":337644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-05","publicationStatus":"PW","scienceBaseUri":"58ca52cfe4b0849ce97c86b6","contributors":{"authors":[{"text":"Mohanty, Sanjay","contributorId":189137,"corporation":false,"usgs":false,"family":"Mohanty","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":683942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bulicek, Mark","contributorId":189138,"corporation":false,"usgs":false,"family":"Bulicek","given":"Mark","email":"","affiliations":[],"preferred":false,"id":683943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":683941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":683944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":683945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":683946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}