The study region encompasses the Upper Colorado River Basin (UCRB), which provides water for 40 million people and is a vital part of the water supply in the western U.S.
\nGroundwater and surface water can be considered a single water resource and thus it is important to understand groundwater contributions to streamflow, or baseflow, within a region. Previously, quantification of baseflow using chemical mass balance at large numbers of sites was not possible because of data limitations. A new method using regression-derived daily specific conductance values with conductivity mass balance hydrograph separation allows for baseflow estimation at sites across large regions. This method was applied to estimate baseflow discharge at 229 sites across the UCRB. Subsequently, climate, soil, topography, and land cover characteristics were statistically evaluated using principal component analysis (PCA) to determine their influence on baseflow discharge.
\nResults suggest that approximately half of the streamflow in the UCRB is baseflow derived from groundwater discharge to streams. Higher baseflow yields typically occur in upper elevation areas of the UCRB. PCA identified precipitation, snow, sand content of soils, elevation, land surface slope, percent grasslands, and percent natural barren lands as being positively correlated with baseflow yield; whereas temperature, potential evapotranspiration, silt and clay content of soils, percent agriculture, and percent shrublands were negatively correlated with baseflow yield.
\nMontane fens are biologically diverse peat-forming wetlands that develop at points of groundwater discharge. To protect these ecosystems, it is critical to understand their locations on the landscape and the hydrogeologic systems that support them. The upper Deschutes Basin has a groundwater flow system that supports baseflow in many rivers, but little is known about the wetland types and groundwater dependence of the thousands of wetlands within the watershed. In 292 randomly selected wetlands, we quantified landscape metrics thought useful for discriminating montane fens from non-peat-forming wetlands. We inspected these wetlands and classified 67 of them as fens. Of the landscape metrics, only geology reliably differentiated fens from other types of wetlands. Nearly all fens develop in low-permeability glacial till found at approximately 1400–1800 m in elevation, and are concentrated in areas mantled by pumice deposits that originated primarily from the eruption of Mt. Mazama approximately 7700 years BP. Stratigraphic and hydrologic factors indicate the fens are supplied by perched aquifers in glacial till, instead of the deeper regional aquifer system. Their hydrogeologic setting makes the fens highly vulnerable to expected changes to recharge associated with climate change, but not to groundwater pumping from the regional aquifer.
","language":"English","publisher":"Society of Wetland Scientists","publisherLocation":"McClean, VA","doi":"10.1007/s13157-015-0667-x","usgsCitation":"Aldous, A., Gannett, M.W., Keith, M., and O'Connor, J., 2015, Geologic and geomorphic controls on the occurrence of fens in the Oregon Cascades and implications for vulnerability and conservation: Wetlands, v. 35, no. 4, p. 757-767, https://doi.org/10.1007/s13157-015-0667-x.","productDescription":"11 p.","startPage":"757","endPage":"767","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057994","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":314922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.42663574218749,\n 44.33956524809713\n ],\n [\n -120.42663574218749,\n 44.64911632343077\n ],\n [\n -120.87158203125,\n 45.089035564831015\n ],\n [\n -121.4208984375,\n 45.02695045318546\n ],\n [\n -121.7340087890625,\n 44.92591837128869\n ],\n [\n -121.761474609375,\n 44.31205742666618\n ],\n [\n -121.81640624999999,\n 43.92559366355069\n ],\n [\n -121.89331054687499,\n 43.492782808225\n ],\n [\n -121.34948730468749,\n 43.30119623257966\n ],\n [\n -120.7452392578125,\n 43.50075243569041\n ],\n [\n -120.5419921875,\n 43.96119063892024\n ],\n [\n -120.42663574218749,\n 44.33956524809713\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-13","publicationStatus":"PW","scienceBaseUri":"56a9f844e4b012c193aa3eca","contributors":{"authors":[{"text":"Aldous, A.","contributorId":105517,"corporation":false,"usgs":true,"family":"Aldous","given":"A.","email":"","affiliations":[],"preferred":false,"id":589937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":589882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith, Mackenzie K. mkeith@usgs.gov","contributorId":4140,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","email":"mkeith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":589938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, James E. oconnor@usgs.gov","contributorId":138998,"corporation":false,"usgs":true,"family":"O'Connor","given":"James E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":589939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148140,"text":"ofr20151077 - 2015 - Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003","interactions":[],"lastModifiedDate":"2015-06-12T13:42:06","indexId":"ofr20151077","displayToPublicDate":"2015-06-12T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1077","title":"Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003","docAbstract":"Park management of the Whiskeytown National Recreation Area, in northwestern California, identified a critical need to determine if mercury (Hg) or other elements originating from abandoned mines within the Upper Clear Creek watershed were present at concentrations that might adversely affect aquatic biota living within the park. During 2002–03, the U.S. Geological Survey, in cooperation with the National Park Service, collected aquatic invertebrates, amphibians, and fish, and analyzed them for Hg, cadmium, zinc, copper, and other metals and trace elements. The data from the biota, in conjunction with data from concurrent community bioassessments, habitat analyses, water quality, and concentrations of metals and trace elements in water and sediment, were used to identify contamination “hot spots.”
\nIn 2002, we selected collection sites within the study area based on the presence of historical mines and results from sampling of bed sediment in 2001. In 2003, collection sites were selected based on sediment data as well as data on water and biota from this study in 2002. Eleven sites were sampled in both 2002 and 2003, 11 sites were sampled only in 2002, and 14 sites were sampled only in 2003.
\nComparisons of sites within the Upper Clear Creek watershed indicated that most of the more contaminated sites were outside of the park boundaries, especially at sites within the French Gulch, Cline Gulch, and Whiskey Creek watersheds. The site with the highest overall contamination within the park, based on both fish and invertebrate data, was WLCC, a site on Willow Creek impacted by acid mine drainage and listed as impaired under Section 303(d) of the Clean Water Act.
\nCompared with other recently evaluated mine-impacted watersheds in northern California, invertebrates, amphibians, and fish from sites within the Upper Clear Creek watershed tended to have significantly lower concentrations of Hg than at most other sites. For other metals and trace elements, Upper Clear Creek sites were only compared with the Deer Creek watershed, Nevada County, California. Copper from both Willow Creek sites (WLCC and WLTH) in the Clear Creek watershed was the only metal with concentrations in biota that were significantly higher than biota from Deer Creek
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151077","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Hothem, R.L., May, J.T., Gibson, J.K., and Brussee, B.E., 2015, Concentrations of metals and trace elements in aquatic biota associated with abandoned mine lands in the Whiskeytown National Recreation Area and nearby Clear Creek watershed, Shasta County, northwestern California, 2002-2003: U.S. Geological Survey Open-File Report 2015-1077, Report: x, 64 p.; 6 Appendices, https://doi.org/10.3133/ofr20151077.","productDescription":"Report: x, 64 p.; 6 Appendices","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","ipdsId":"IP-062279","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":301207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151077.jpg"},{"id":301206,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix6.xlsx","text":"Appendix 6. Metals and trace elements in individual and composite samples of riffle sculpin, rainbow trout, and California roach","size":"87 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 6. Metals and trace elements in individual and composite samples of riffle sculpin, rainbow trout, and California roach"},{"id":301205,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix5.xlsx","text":"Appendix 5. Metals and trace elements in individual bullfrogs, Pacific chorus frogs, and foothill yellow-legged frogs","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 5. Metals and trace elements in individual bullfrogs, Pacific chorus frogs, and foothill yellow-legged frogs"},{"id":301199,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1077/"},{"id":301200,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1077/pdf/ofr20151077.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301201,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix1.xlsx","text":"Appendix 1. Metals and trace elements in invertebrate composites","size":"45 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1. Metals and trace elements in invertebrate composites"},{"id":301202,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix3.xlsx","text":"Appendix 3. Metals and trace elements in filtered and raw water samples","size":"52 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 3. Metals and trace elements in filtered and raw water samples"},{"id":301203,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix2.xlsx","text":"Appendix 2. Water-quality parameters","size":"79 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 2. Water-quality parameters"},{"id":301204,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1077/download/ofr2015-1077_appendix4.xlsx","text":"Appendix 4. Metals and trace elements in sediment samples","size":"115 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 4. Metals and trace elements in sediment samples"}],"country":"United States","state":"California","county":"Shasta County","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.92053222656249,\n 40.45948689837198\n ],\n [\n -122.92053222656249,\n 41.072104440201606\n ],\n [\n -122.01141357421875,\n 41.072104440201606\n ],\n [\n -122.01141357421875,\n 40.45948689837198\n ],\n [\n -122.92053222656249,\n 40.45948689837198\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4a5e4b023124e8edde5","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":547469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":617,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibson, Jennifer K.","contributorId":140892,"corporation":false,"usgs":false,"family":"Gibson","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":547471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":547472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70148425,"text":"ds938 - 2015 - Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","interactions":[],"lastModifiedDate":"2015-06-12T08:55:55","indexId":"ds938","displayToPublicDate":"2015-06-12T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"938","title":"Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011","docAbstract":"The water gun is a tool adapted from deep marine geophysical surveys that is being evaluated for use as an acoustic fish deterrent to control the movement of invasive marine species. The water gun creates a seismic signal by using a compressed air discharge to move a piston rapidly within the water, resulting in an implosion. This energy pulse may be able to modify fish behavior or destroy marine life, such as the Asian carp, at some distance. The effects of this energy pulse on structures in the Chicago Sanitary and Ship Canal (CSSC), such as canal walls, shore lines, and lock structures, are not known. The potential effects of the use of a water gun on structures was identified as a concern in the CSSC and was assessed relative to existing background sources during this study. During September 2011, two water guns with piston sizes of 80 and 343 cubic inches, respectively, were tested in the CSSC at varying pressures and distances from a canal wall consisting of dolomite and dolomite setblock. Seismic data were collected during these water gun firings using geophones on land, in boreholes, and at the canal wall interface. Data were collected at varying depths in the canal water using hydrophones. Seismic data were also collected during the occurrences of barge traffic, railroad traffic located near the electric fish barrier in Lemont, and coal-loading operations at a coal power plant near the electric fish barrier. In general, energy produced by barge and railroad sources was less than energy created by the water gun. Energy levels produced by coal-loading operations at least 200 feet from geophones were approximately four times lower than energy levels measured during water gun operations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds938","usgsCitation":"Morrow, W.S., Carpenter, P.J., and Adams, R.F., 2015, Seismic data collection from water gun and industrial background sources in the Chicago Sanitary and Ship Canal area, Illinois, 2011: U.S. Geological Survey Data Series 938, Report: iv, 23 p.; Downloads Directory, https://doi.org/10.3133/ds938.","productDescription":"Report: iv, 23 p.; Downloads Directory","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-036766","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":301178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds938.jpg"},{"id":301175,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0938/"},{"id":301176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0938/pdf/ds938.pdf","text":"Report","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301177,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0938/downloads","text":"Downloads Directory","linkHelpText":"Contains water gun and industrial background data files that were collected in September, October, and November 2011. Seismic data can be accessed through standard geophysical software capable of reading SEG-2 files. Software capable of reading SEG-2 format is also freely available and documented in U.S. Geological Survey (USGS) Open-File Report 03-141 (Ellefsen, 2003), available at http://pubs.usgs.gov/of/2003/ofr-03-141. Other open-source software, such as Geopsy (available at http://www.geopsy.org), are available to read SEG-2 formatted data."}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07464599609375,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.70521588311188\n ],\n [\n -87.97027587890624,\n 41.63545984052713\n ],\n [\n -88.07464599609375,\n 41.63545984052713\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4ace4b023124e8eddef","contributors":{"authors":[{"text":"Morrow, William S. 0000-0002-2250-3165 wsmorrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2250-3165","contributorId":1886,"corporation":false,"usgs":true,"family":"Morrow","given":"William","email":"wsmorrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Phillip J.","contributorId":141062,"corporation":false,"usgs":false,"family":"Carpenter","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":548196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548197,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144268,"text":"sir20155025 - 2015 - Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","interactions":[],"lastModifiedDate":"2016-08-05T12:01:51","indexId":"sir20155025","displayToPublicDate":"2015-06-12T09:30:00","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":"2015-5025","title":"Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012","docAbstract":"In winter 2011–12 and summer 2012, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers, Albuquerque District and the U.S. Fish and Wildlife Service New Mexico Fish and Wildlife Conservation Office in Albuquerque, New Mexico, evaluated the physical characteristics and fish assemblage composition of available mesohabitats over a range of streamflows at 15 sites on the Middle Rio Grande in New Mexico. The fish assemblage of the Middle Rio Grande includes several minnow species adapted to hydrologically variable but seasonably predictable rivers, including theHybognathus amarus (Rio Grande silvery minnow), a federally listed endangered species. Gaining a better understanding of habitat usage by the Rio Grande silvery minnow was the impetus for studying physical characteristics and fish assemblages in the Middle Rio Grande during different streamflow conditions. Data were collected at all 15 sites during winter 2011–12 (moderate streamflow), and a subset was collected at the 13 most downstream sites in summer 2012 (low streamflow). Sites were grouped into four river reaches separated by diversion dams listed in downstream order (names of the diversion dams are followed by short names of the sites nearest each dam in parentheses, listed in downstream order): (1) Cochiti (Peña Blanca), (2) Angostura (Bernalillo, La Orilla, Barelas, Los Padillas), (3) Isleta (Los Lunas I, Los Lunas II, Abeytas, La Joya, Rio Salado), and (4) San Acacia (Lemitar, Arroyo del Tajo, San Pedro, Bosque del Apache I, and Bosque del Apache II). Stream habitat was mapped in the field by using a geographic information system in conjunction with a Global Positioning System. Fish assemblage composition was determined during both streamflow regimes, and fish were collected by seining in each mesohabitat where physical characteristic data (depth, velocity, dominant substrate type and size, and percent embeddedness) and water-quality properties (temperature, dissolved oxygen, specific conductance, and pH; during summer 2012 only) were measured.
\nNineteen species of fish were collected among the 15 sites and four reaches over both sampling periods; 10 of these 19 species are introduced. Fish-species richness (total number of fish species collected at each site during each sampling event) among sites that were sampled during both sampling periods ranged from 6 at Rio Salado to 12 at La Orilla. Fish were most abundant at the Lemitar site (1,786 individuals) and least abundant at the San Pedro site (275 individuals). The native Cyprinella lutrensis (red shiner) was the most abundant species collected among all of the sites, accounting for about 42 percent of fish collected. Fish-species richness and catch per unit effort (CPUE) were higher (or equivalent) at all sites during summer 2012 compared to winter 2011–12.
\nThe relations between fish assemblage composition (that is, total abundance, which refers to the number of individuals of each species that were collected) and selected environmental variables (physical characteristic data collected at the mesohabitat scale [depth, velocity, and substrate particle size], and mesohabitat types) were explored by using canonical correspondence analysis. Environmental variables explained 8 percent (p=0.48) of the variability in the Middle Rio Grande fish assemblage during winter 2011–12, and Rio Grande silvery minnow were weakly associated with sand substrates, relatively moderate velocities (qualitative descriptors are derived from synthetic gradients extracted from CCAs), and relatively shallow depths. Environmental variables explained 14 percent (p < 0.01) of the variability in the Middle Rio Grande fish assemblage during summer 2012, when Rio Grande silvery minnow were associated with run mesohabitats, relatively high velocities, sand substrates, and relatively moderate depths.
\nThe mean fish-species richness was greater in summer 2012 than in winter 2011–12 for each mesohabitat type, and the overall fish-species richness across all mesohabitat types was 0.62 during winter 2011–12, compared to 1.49 during summer 2012. The highest mean CPUE during winter 2011–12 was in isolated pools (54.3 fish per 100 square meters [m2]), whereas the lowest was in flats (18.9 fish per 100 m2). Ranges in CPUE were higher in summer 2012 relative to winter 2011–12 in each mesohabitat type sampled. As in winter 2011–12, the highest mean CPUE during summer 2012 was in isolated pools (233 fish per 100 m2), whereas the lowest was in flats (29.6 fish per 100 m2). Overall mean CPUE per mesohabitat across all mesohabitat types was 29.1 fish per 100 m2 during winter 2011–12 compared to 85.3 fish per 100 m2 during summer 2012.
\nFour species of minnows (red shiner, Rio Grande silvery minnow, Pimephales promelas [fathead minnow], and Platygobio gracilis[flathead chub]) were selected to compare preferred mesohabitat characteristics because all are small-bodied minnows and because more than 200 individuals of each of these species were collected. Red shiner were collected across the largest range of depths in both winter 2011–12 (0.02–4.31 feet [ft]) and summer 2012 (0.05–3.4 ft), as well as the largest range of velocities (0.0–4.31 feet per second [ft/s]) during winter 2011–12 among the four minnow species of interest. Rio Grande silvery minnow occurred in the narrowest range of depths (0.30–2.1 ft) during summer 2012, as well as the narrowest range of velocities in both winter 2011–12 (0.0–3.18 ft/s) and summer 2012 (0.02–1.51 ft/s).
\nWater-quality properties were only collected during summer 2012, when low-streamflow conditions existed and water-quality properties were thought to be potentially most limiting to aquatic life. Area-weighted mean water temperatures tended to be higher at the sites that were sampled in August 2012 (25.57 degrees Celsius [°C]) compared to June 2012 (24.61 °C). The highest area-weighted mean water temperature at a given site (29.03 °C) was measured at the Lemitar site on August 7, 2012, coincident with the lowest measured discharge (4.13 cubic feet per second [ft3/s]). Area-weighted mean dissolved oxygen concentrations tended to be lower in August (7.46 milligrams per liter [mg/L]) compared to June (8.33 mg/L). The highest area-weighted mean dissolved oxygen concentration (9.13 mg/L) was measured at the Lemitar site on August 7, 2012, and the lowest area-weighted mean dissolved oxygen concentration (6.23 mg/L) was measured at the Los Padillas site on August 10, 2012. Area-weighted specific conductance in the sites upstream from La Joya did not exceed 400 microsiemens per centimeter (μS/cm) at 25 °C, whereas the area-weighted mean specific conductance at La Joya (837 μs/cm at 25 °C), Rio Salado (857 μs/cm at 25 °C), and Lemitar (1,300 μs/cm at 25 °C) were all well above the average of the area-weighted means for the 10 remaining sites (433 μs/cm at 25 °C). Lower area-weighted mean pH values were measured at the 3 sites in and near Albuquerque (La Orilla, Barelas, and Los Padillas—7.98, 8.08, and 7.81, respectively) compared to any of the 10 remaining sites, which had an overall mean pH of 8.44.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155025","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Albuquerque District, and the U.S. Fish and Wildlife Service","usgsCitation":"Braun, C.L., Pearson, D., Porter, M., and Moring, J.B., 2015, Physical characteristics and fish assemblage composition at site and mesohabitat scales over a range of streamflows in the Middle Rio Grande, New Mexico, winter 2011-12, summer 2012: U.S. Geological Survey Scientific Investigations Report 2015-5025, Report: viii, 90 p.; Downloads Directory, https://doi.org/10.3133/sir20155025.","productDescription":"Report: viii, 90 p.; Downloads Directory","startPage":"90","numberOfPages":"102","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056792","costCenters":[{"id":583,"text":"Texas Water Science 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dpearson@usgs.gov","contributorId":1525,"corporation":false,"usgs":true,"family":"Pearson","given":"Daniel K.","email":"dpearson@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":548602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Michael D.","contributorId":139912,"corporation":false,"usgs":false,"family":"Porter","given":"Michael D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":548604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moring, J. 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Areas favorable for exploration and development of these resources are being identified by geochemical data, which are supplemented with geological, geophysical, hydrological, and geographical data. The first steps of this analysis have been completed. The concentrations of lanthanum, yttrium, and titanium tend to decrease as distance from the Piedmont (which is the likely source of these resources) increases and are moderately correlated with airborne measurements of equivalent thorium concentration. The concentrations of lanthanum, yttrium, and titanium are relatively high in those watersheds that adjoin the Piedmont, south of the Cape Fear Arch. Although this relation suggests that the concentrations are related to the watersheds, it may be simply an independent regional trend. The concentration of zirconium is unrelated to the distance from the Piedmont, the equivalent thorium concentration, and the watershed. These findings establish a foundation for more sophisticated analyses using integrated spatial modeling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151111","usgsCitation":"Ellefsen, K.J., Van Gosen, B.S., Fey, D.L., Budahn, J.R., Smith, S.M., and Shah, A.K., 2015, First steps of integrated spatial modeling of titanium, zirconium, and rare earth element resources within the Coastal Plain sediments of the southeastern United States: U.S. Geological Survey Open-File Report 2015-1111, vi, 40 p., https://doi.org/10.3133/ofr20151111.","productDescription":"vi, 40 p.","startPage":"40","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063270","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":301183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151111.jpg"},{"id":301159,"type":{"id":15,"text":"Index 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Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5065","title":"Dam failure analysis for the Lago de Matrullas Dam, Orocovis, Puerto Rico","docAbstract":"The U.S. Geological Survey, in cooperation with the Puerto Rico Electric Power Authority, completed a hydrologic and hydraulic study to assess the potential hazard to human life and property associated with the hypothetical failure of the Lago de Matrullas Dam, located within the headwaters of the Río Grande de Manatí. The hydrologic study yielded outflow hydrographs and peak discharges for Lago de Matrullas and other subbasins in the Río Grande de Manatí hydrographic basin for three extreme rainfall events: (1) a 6-hour probable maximum precipitation (PMP) event, (2) a 24-hour PMP event, and (3) a 100-year-recurrence, 24-hour rainfall event. The hydraulic study simulated the hypothetical dam failure of Lago de Matrullas using hypothetical flood hydrographs generated from the hydrologic study and selected dam breach parameters. The flood wave resulting from the failure was downstream-routed through the lower reaches of the Río Matrullas, the Río Toro Negro, and the Río Grande de Manatí for determination of water-surface profiles developed from the event-based hydrologic scenarios and “sunny day” (no precipitation) conditions. The Hydrologic Modeling System (HEC–HMS) and the River Analysis System (HEC–RAS) computer programs, developed by the Hydrologic Engineering Center (HEC) of the U.S. Army Corps of Engineers, were used for the hydrologic and hydraulic modeling, respectively. The flow routing in the hydraulic analyses was performed using the unsteady-state flow module available in the HEC–RAS model.
\nAt the Lago de Matrullas Dam, inflow peak discharges of about 1,104 and 1,032 cubic meters per second (m3/s) were estimated with HEC–HMS for the 6- and 24-hour PMP events, respectively. The 100-year recurrence, 24-hour rainfall event simulation resulted in a peak discharge of about 418 m3/s. For the hydrologic analysis, no dam failure conditions were considered with the model. The results of the hydrologic simulations indicated, however, that the dam would be overtopped by the simulated 6- and 24-hour PMP events. Unlike the 6- and 24-hour PMP events, no overtopping was observed during the simulated 100-year recurrence, 24-hour rainfall event.
\nFor the dam-breach hydraulic analysis, the hypothetical failures of the Lago de Matrullas Dam included two possible failure modes: overtopping and piping. Overtopping failure was evaluated in this study for the 6- and 24- hour probable-maximum-precipitation breach scenarios. Piping dam failure was simulated for sunny day conditions and for the 100-year-recurrence, 24-hour rainfall scenario.
\nResults from the simulated dam failure of the Lago de Matrullas Dam using the HEC–RAS model for the 6- and 24-hour PMP events showed peak discharges at the dam of 3,149.33 and 3,604.70 m3/s, respectively. Dam failure during the 100-year-recurrence, 24-hour rainfall event resulted in a peak discharge of 2,103.12 m3/s directly downstream from the dam. Dam failure under sunny day conditions produced a peak discharge of 1,695.91 m3/s at the dam assuming the antecedent lake level was at the morning-glory spillway invert elevation. Flood-inundation maps prepared as part of the study depict the flood extent and provide valuable information for preparing an Emergency Action Plan. Results of the failure analysis indicate that a failure of the Lago de Matrullas Dam could cause flooding to many of the inhabited areas along stream banks from the Lago de Matrullas Dam to the mouth of the Río Grande de Manatí. Among the areas most affected are the low-lying regions in the vicinity of the towns of Ciales, Manatí, and Barceloneta. The delineation of the flood boundaries near the town of Barceloneta considered the effects of a levee constructed during 2000 at Barceloneta in the flood plain of the Río Grande de Manatí to provide protection against flooding to the near-by low-lying populated areas. The results showed overtopping can be expected in the aforementioned levee during 6- and 24-hour probable-maximum-precipitation dam failure scenarios. No overtopping of the levee was simulated, however, during dam failure scenarios under the 100-year recurrence, 24-hour rainfall event or sunny day conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155065","collaboration":"Prepared in cooperation with the Puerto Rico Electric Power Authority","usgsCitation":"Torres-Sierra, H., and Gómez-Fragoso, J., 2015, Dam failure analysis for the Lago de Matrullas Dam, Orocovis, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2015-5065, Report: viii, 54 p.; 4 Plates: 30.0 x 35.0 inches, https://doi.org/10.3133/sir20155065.","productDescription":"Report: viii, 54 p.; 4 Plates: 30.0 x 35.0 inches","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-023008","costCenters":[{"id":156,"text":"Caribbean Water Science 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Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3328","title":"Geologic map of the Vashon 7.5' quadrangle and selected areas, King County, Washington","docAbstract":"This map is an interpretation of a 6-ft-resolution lidar-derived digital elevation model combined with geology by Derek B. Booth and Kathy Goetz Troost. Field work by Booth and Troost was located on the 1:24,000-scale topographic map of the Vashon and Des Moines 7.5' quadrangles that were published in 1997 and 1995, respectively. Much of the geology was interpreted from landforms portrayed on the topographic maps, supplemented by field exposures, where available. In 2001, the Puget Sound Lidar Consortium (see http://pugetsoundlidar.org/) obtained a lidar-derived digital elevation model (DEM) for Vashon Island and the Des Moines quadrangle. For a brief description of lidar and this data acquisition program, see Haugerud and others (2003). This new DEM has a horizontal resolution of 6 ft (1.83 m) and mean vertical accuracy of about 1 ft (about 0.3 m). The greater resolution and accuracy of the lidar DEM facilitated a much-improved interpretation of many aspects of the surficial geology, especially the distribution and relative age of landforms and the materials inferred to comprise them. Booth and Troost were joined by Tabor to interpret the new lidar DEM but have done no futher field work for this map.
\nThis map, the Vashon quadrangle and selected adjacent areas, encompasses most of Vashon Island, Maury Island, and Three Tree Point in the south-central Puget Sound. One small area in the Vashon quadrangle on the east side of Puget Sound is excluded from this map but included on the adjacent Seattle quadrangle (Booth and others, 2005). The map displays a wide variety of surficial geologic deposits, which reflect many geologic environments and processes. Multiple ice-sheet glaciations and intervening nonglacial intervals have constructed a complexly layered sequence of deposits that underlie both islands to a depth of more than 300 m below sea level. These deposits not only record glacial and nonglacial history but also control the flow and availability of ground water, determine the susceptibility of the slopes to landslides, and provide economic reserves of sand and gravel. The islands are surrounded by channels of Puget Sound, some as deep as the islands are high (>600 ft (~200 m)). The shorelines provide many kilometers of well-exposed coastal outcrops that reveal abundant lithologic and stratigraphic details not ordinarily displayed in the heavily vegetated Puget Lowland.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3328","collaboration":"Prepared in cooperation with King County, Washington","usgsCitation":"Booth, D.B., Troost, K.G., and Tabor, R.W., 2015, Geologic map of the Vashon 7.5' quadrangle and selected areas, King County, Washington: U.S. Geological Survey Scientific Investigations Map 3328, Pamphlet: ii, 11 p.; 1 Plate: 29.01 x 36.67 inches; Database; Readme; Metadata, https://doi.org/10.3133/sim3328.","productDescription":"Pamphlet: ii, 11 p.; 1 Plate: 29.01 x 36.67 inches; Database; Readme; Metadata","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049122","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":301167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3328.gif"},{"id":301150,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3328/"},{"id":301165,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3328/downloads/vashgeol-genmd.txt","linkFileType":{"id":2,"text":"txt"}},{"id":301164,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3328/sim_3328_readme.txt","linkFileType":{"id":2,"text":"txt"}},{"id":301161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim_3328_map.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"},"description":"Map"},{"id":301163,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim3328_database.zip","text":"Database","linkFileType":{"id":6,"text":"zip"},"description":"Database","linkHelpText":"Contains: geospatial database. Refer to the Readme and Metadata files for more information."},{"id":301162,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3328/downloads/sim_3328_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"Pamphlet"},{"id":398999,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103699.htm"}],"scale":"24000","projection":"Lambert Conformal Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Washington","county":"King County","otherGeospatial":"Maury Island, Puget Sound, Three Tree Point, Vashon Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.5,\n 47.375\n ],\n [\n -122.5,\n 47.5125\n ],\n [\n -122.3708,\n 47.5125\n ],\n [\n -122.3708,\n 47.375\n ],\n [\n -122.5,\n 47.375\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557bf4aae4b023124e8eddeb","contributors":{"authors":[{"text":"Booth, Derek B.","contributorId":100873,"corporation":false,"usgs":false,"family":"Booth","given":"Derek","email":"","middleInitial":"B.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":548564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Troost, Kathy Goetz","contributorId":127391,"corporation":false,"usgs":false,"family":"Troost","given":"Kathy","email":"","middleInitial":"Goetz","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":548565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tabor, Rowland W. rtabor@usgs.gov","contributorId":3816,"corporation":false,"usgs":true,"family":"Tabor","given":"Rowland","email":"rtabor@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548563,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159691,"text":"70159691 - 2015 - Quantifying water flow and retention in an unsaturated fracture-facial domain","interactions":[],"lastModifiedDate":"2016-06-28T16:04:04","indexId":"70159691","displayToPublicDate":"2015-06-12T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Quantifying water flow and retention in an unsaturated fracture-facial domain","docAbstract":"Hydrologically significant flow and storage of water occur in macropores and fractures that are only partially filled. To accommodate such processes in flow models, we propose a three-domain framework. Two of the domains correspond to water flow and water storage in a fracture-facial region, in addition to the third domain of matrix water. The fracture-facial region, typically within a fraction of a millimeter of the fracture wall, includes a flowing phase whose fullness is determined by the availability and flux of preferentially flowing water, and a static storage portion whose fullness is determined by the local matric potential. The flow domain can be modeled with the source-responsive preferential flow model, and the roughness-storage domain can be modeled with capillary relations applied on the fracture-facial area. The matrix domain is treated using traditional unsaturated flow theory. We tested the model with application to the hydrology of the Chalk formation in southern England, coherently linking hydrologic information including recharge estimates, streamflow, water table fluctuation, imaging by electron microscopy, and surface roughness. The quantitative consistency of the three-domain matrix-microcavity-film model with this body of diverse data supports the hypothesized distinctions and active mechanisms of the three domains and establishes the usefulness of this framework.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fluid dynamics in complex fractured-porous systems","language":"English","publisher":"Wiley","doi":"10.1002/9781118877517.ch12","usgsCitation":"Nimmo, J.R., and Malek-Mohammadi, S., 2015, Quantifying water flow and retention in an unsaturated fracture-facial domain, chap. of Fluid dynamics in complex fractured-porous systems, p. 169-182, https://doi.org/10.1002/9781118877517.ch12.","productDescription":"14 p.","startPage":"169","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054366","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":324559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-12","publicationStatus":"PW","scienceBaseUri":"57739fb5e4b07657d1a90d33","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malek-Mohammadi, Siamak","contributorId":149944,"corporation":false,"usgs":false,"family":"Malek-Mohammadi","given":"Siamak","email":"","affiliations":[{"id":17862,"text":"Bradley University","active":true,"usgs":false}],"preferred":false,"id":580105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147324,"text":"sir20155059 - 2015 - Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012","interactions":[],"lastModifiedDate":"2015-06-11T15:47:35","indexId":"sir20155059","displayToPublicDate":"2015-06-11T15:30:00","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":"2015-5059","title":"Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012","docAbstract":"During the spring of 2012, the U.S. Geological Survey, in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey, measured water levels in 342 wells completed in the Mississippi River Valley alluvial aquifer in eastern Arkansas. The Arkansas Natural Resources Commission measured water levels in 11 wells, and the U.S. Department of Agriculture-Natural Resources Conservation Service measured water levels in 239 wells completed in the alluvial aquifer and provided these data to the Arkansas Natural Resources Commission. In 2010, estimated water withdrawals from the alluvial aquifer in Arkansas totaled about 7,592 million gallons per day. Withdrawals more than doubled between 1985 and 2010, about a 115-percent increase.
\nThe regional direction of groundwater flow is generally to the south and east except where flow is affected by groundwater withdrawals. East of Crowleys Ridge, water flows from north to south along Crowleys Ridge and northeast to southwest along the Mississippi River. West of Crowleys Ridge, water flows from northeast to southwest along Crowleys Ridge from Clay County to Craighead County. From Craighead County to Monroe County, a depression redirects groundwater flow from all directions. A depression in Arkansas, Lonoke, and Prairie Counties alters groundwater flow from all directions. South of the Arkansas River, the flow is towards the southeast, except near depressions in Lincoln and Desha Counties and Desha and Chicot Counties where flow is towards the depression. In 2012, the lowest water-level altitude was 73 feet (ft) in Arkansas County. The highest water-level altitude was 288 ft in northeastern Clay County on the western side of Crowleys Ridge.
\nThe 2012 potentiomentric-surface map shows eight depressions, two large depressions and six small depressions. One large depression begins in southeastern Arkansas County, at the Arkansas and Desha County line, extends north into Prairie County, west into Lonoke County, and east into the westernmost part of Monroe County. The area in Lonoke, Prairie, and White Counties in the northwestern half of the depression has a water-level altitude measurement of 90 ft and has expanded into the northern third of Prairie County.
\nThe 2012 potentiometric-surface map shows a general north-south depression with the southern end in central Monroe County through western Lee, St. Francis, Cross, Poinsett, and Craighead Counties and eastern Woodruff and Jackson Counties. There are two deeper areas in this depression, one at the Monroe and Lee County line, with a low water-level altitude measurement of 123 ft, and the second in Poinsett County, with a low water-level altitude measurement of 113 ft. The six small depressions are located in northern Ashley County, in southern Desha and northern Chicot Counties, in eastern Lincoln and western Chicot Counties, at the Arkansas and Desha County line, in northern Phillips County, and in southeastern Greene County.
\nA map showing the difference in water levels was constructed using 541 differences in water levels measured during 2008 and 2012. The difference in measured water levels from 2008 to 2012 ranged from -27.4 ft to 18.7 ft, with a mean of -1.0 ft. The largest decline of -27.4 ft occurred in Lonoke County, and the largest rise of 18.7 ft occurred in Prairie County. Four areas were predominated by declines—west of Crowleys Ridge from Greene County south to Lee County, including Lawrence and southern Woodruff Counties; east of Crowleys Ridge from Clay County south to Poinsett County and Mississippi County; Lonoke and Jefferson Counties; and Ashley, Chicot, Desha, and Drew Counties. Three areas are predominated by rises in measured water levels—east of Crowleys Ridge in Crittenden, Cross, Lee, and St. Francis Counties; Jackson and northern Woodruff Counties; and Arkansas, Monroe, Phillips, Prairie, and White Counties.
\nLong-term water-level changes were evaluated using hydrographs from 319 wells in the alluvial aquifer for the period from 1988 to 2012. The annual rise or decline in water level for the entire study area was -0.45 feet per year (ft/yr) with a range from -2.08 to 0.84 ft/yr. Arkansas County had two different rates of annual decline for the two hydrographs shown, about 0.97 ft/yr and about 0.26 ft/yr.
\nIn Craighead, Cross, Lee, Poinsett, and St. Francis Counties, water levels are declining at a greater rate in areas west of Crowleys Ridge than in areas east of Crowleys Ridge. Two hydrographs are shown in each of Craighead, Cross, Lee, Poinsett, and St. Francis Counties, one on the west side of Crowleys Ridge and one on the east side of Crowleys Ridge. The hydrographs west of Crowleys Ridge have annual water-level declines from -0.91 to -1.24 ft/yr. The hydrographs east of Crowleys Ridge have annual water-level declines from -0.07 to -0.40 ft/yr. The mean county annual water-level declines for these counties range from -0.55 to -0.87 ft/yr.
\nWater samples were collected in the summer of 2012 from142 wells completed in the alluvial aquifer and measured onsite for specific conductance, temperature, and pH. Samples were collected from 94 wells for dissolved chloride analysis. Specific conductance ranged from 91 microsiemens per centimeter at 25 degrees Celsius (μS/cm at 25 °C) in Drew County to 984 μS/cm at 25 °C in Monroe County. The mean specific conductance was 547 μS/cm at 25 °C. Temperature ranged from 18.1 degrees Celsius (°C) in Crittenden County to 22.4 °C in Prairie County. The mean temperature was 22.1 °C. The pH ranged from 8.3 in Randolph County to 6.2 in Drew County and had a median of 7.3. Dissolved chloride concentrations ranged from 3.34 milligrams per liter (mg/L) in Randolph County to 182 mg/L in Lincoln County. The mean chloride concentration was 27.6 mg/L.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155059","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Schrader, T.P., 2015, Water levels and water quality in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2012: U.S. Geological Survey Scientific Investigations Report 2015-5059, Report: iv, 63 p.; 2 Plates: 15.0 x 19.0 inches, https://doi.org/10.3133/sir20155059.","productDescription":"Report: iv, 63 p.; 2 Plates: 15.0 x 19.0 inches","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-056983","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":301158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155059.jpg"},{"id":301144,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5059/"},{"id":301154,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5059/pdf/sir2015-5059.pdf","text":"Report","size":"1.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301155,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5059/downloads/sir2015-5059-pl1.pdf","text":"Plate 1","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1"},{"id":301156,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2015/5059/downloads/sir2015-5059-pl2.pdf","text":"Plate 2","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2"}],"projection":"Universal Transverse Mercator projection, zone 15","datum":"North American Datum of 1927","country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.06954956054688,\n 33.00808767987181\n ],\n [\n -92.14302062988281,\n 33.09786930351166\n ],\n [\n -92.12928771972656,\n 33.20824398778792\n ],\n [\n -91.97479248046875,\n 33.30987251398259\n ],\n [\n -91.99058532714844,\n 33.39762556684172\n ],\n [\n -91.73103332519531,\n 33.395332495793745\n ],\n [\n -91.95419311523436,\n 34.09588492955209\n ],\n [\n -92.18490600585938,\n 34.49354133080471\n ],\n [\n -92.25151062011719,\n 34.74330519389396\n ],\n [\n -92.00637817382812,\n 35.068783155653904\n ],\n [\n -91.48521423339844,\n 35.44053326772722\n ],\n [\n -91.62940979003906,\n 35.753756674845675\n ],\n [\n -91.24832153320312,\n 35.888493789015975\n ],\n [\n -91.07734680175781,\n 36.12789245231783\n ],\n [\n -90.78140258789062,\n 36.49804547361385\n ],\n [\n -90.15037536621094,\n 36.49804547361385\n ],\n [\n -90.06179809570312,\n 36.37817351148144\n ],\n [\n -90.06317138671875,\n 36.295204533693536\n ],\n [\n -90.37353515625,\n 35.99578538642032\n ],\n [\n -89.73358154296875,\n 36.005784428799934\n ],\n [\n -89.63607788085938,\n 35.905736972317364\n ],\n [\n -89.91897583007811,\n 35.51881428123057\n ],\n [\n -90.098876953125,\n 35.33977430038646\n ],\n [\n -90.1153564453125,\n 35.110921809704756\n ],\n [\n -90.560302734375,\n 34.58347505599177\n ],\n [\n -90.582275390625,\n 34.420504880133834\n ],\n [\n -90.9283447265625,\n 34.129994745824746\n ],\n [\n -90.9063720703125,\n 34.02990029603907\n ],\n [\n -91.1920166015625,\n 33.4955977448657\n ],\n [\n -91.0821533203125,\n 33.463525475613785\n ],\n [\n -91.0601806640625,\n 33.250172902093894\n ],\n [\n -91.175537109375,\n 33.00405687168934\n ],\n [\n -92.06954956054688,\n 33.00808767987181\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557aa31ae4b0c350d7b9a969","contributors":{"authors":[{"text":"Schrader, Tony P. tpschrad@usgs.gov","contributorId":3027,"corporation":false,"usgs":true,"family":"Schrader","given":"Tony","email":"tpschrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70048249,"text":"70048249 - 2015 - The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland","interactions":[],"lastModifiedDate":"2020-06-12T14:38:58.06431","indexId":"70048249","displayToPublicDate":"2015-06-11T12:48:20","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland","docAbstract":"Laguna Mar Chiquita (central Argentina; ~latitude 31°S, longitude 63°W) provides an outstanding opportunity to examine organic facies development and petroleum source-rock potential in a modern thick-skinned foreland basin lake. In this case study, we define profundal, paleodelta, and lake-margin depositional environments based on trends in bathymetry and lake-floor sediment particle size. Sedimentary geochemical analyses indicate that organic carbon–rich muds accumulate in profundal environments during the extant lake-level highstand. The lateral variability of organic facies is minimal. The quality of organic facies is controlled by lake level and depositional environment, both of which dictate patterns of algal productivity, siliciclastic dilution, and early diagenesis. We present conceptual models of lacustrine source rocks in both thick-skinned and thin-skinned foreland basins based on modern analog data from both Laguna Mar Chiquita and other lakes in the central Andean foreland. Over relatively short time intervals (102–104 yr), climatically driven water-level fluctuations influence the source-rock potential of these basins. Over time intervals >105 yr, contraction and lateral migration of the basin flexural profile control stratal stacking patterns and the potential for hydrocarbon play development.
","language":"English","publisher":"GSA","doi":"10.1130/2015.2515(01)","usgsCitation":"McGlue, M.M., Ellis, G., and Cohen, A.S., 2015, The modern muds of Laguna Mar Chiquita (Argentina): Particle size and geochemical trends from a large saline lake in the \"thick-skinned\" Andean foreland: GSA Special Papers, v. 515, p. 1-18, https://doi.org/10.1130/2015.2515(01).","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-043051","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Laguna Mar Chiquita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.19287109375,\n -32.30570601389429\n ],\n [\n -61.28173828124999,\n -32.30570601389429\n ],\n [\n -61.28173828124999,\n -26.843677401113002\n ],\n [\n -65.19287109375,\n -26.843677401113002\n ],\n [\n -65.19287109375,\n -32.30570601389429\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"515","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGlue, Michael M mmcglue@usgs.gov","contributorId":225231,"corporation":false,"usgs":true,"family":"McGlue","given":"Michael","email":"mmcglue@usgs.gov","middleInitial":"M","affiliations":[],"preferred":true,"id":790791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S 0000-0003-4519-3320","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":225232,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey S","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":790792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Andrew S.","contributorId":138496,"corporation":false,"usgs":false,"family":"Cohen","given":"Andrew","email":"","middleInitial":"S.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":790793,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70148420,"text":"sim3330 - 2015 - Bathymetric survey of Lake Calumet, Cook County, Illinois","interactions":[],"lastModifiedDate":"2015-09-04T09:24:52","indexId":"sim3330","displayToPublicDate":"2015-06-10T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3330","title":"Bathymetric survey of Lake Calumet, Cook County, Illinois","docAbstract":"The U.S. Geological Survey collected bathymetric data in Lake Calumet and a portion of the Calumet River in the vicinity of Lake Calumet to produce a bathymetric map. The bathymetric survey was made over 3 days (July 26, September 11, and November 7, 2012). Lake Calumet has become a focus area for Asian carp rapid-response efforts by state and federal agencies, and very little bathymetric data existed prior to this survey. This bathymetric survey provides data for a variety of scientific and engineering studies of the area; for example, hydraulic modeling of water and sediment transport from Lake Calumet to the Calumet River.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3330","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Duncker, J.J., Johnson, K.K., and Sharpe, J.B., 2015, Bathymetric survey of Lake Calumet, Cook County, Illinois: U.S. Geological Survey Scientific Investigations Map 3330, 1 sheet, https://doi.org/10.3133/sim3330.","productDescription":"1 sheet","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042792","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":301134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3330.jpg"},{"id":301132,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3330/"},{"id":301133,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3330/pdf/sim3330.pdf","text":"SIM 3330","size":"80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Illinois","county":"Cook County","otherGeospatial":"Lake Calumet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.60068893432617,\n 41.66284553398066\n ],\n [\n -87.60068893432617,\n 41.687912152121875\n ],\n [\n -87.57777214050293,\n 41.687912152121875\n ],\n [\n -87.57777214050293,\n 41.66284553398066\n ],\n [\n -87.60068893432617,\n 41.66284553398066\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557951afe4b032353cc173ef","contributors":{"authors":[{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Kevin K. 0000-0003-2703-5994 johnsonk@usgs.gov","orcid":"https://orcid.org/0000-0003-2703-5994","contributorId":4220,"corporation":false,"usgs":true,"family":"Johnson","given":"Kevin","email":"johnsonk@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 jbsharpe@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-7848","contributorId":2825,"corporation":false,"usgs":true,"family":"Sharpe","given":"Jennifer","email":"jbsharpe@usgs.gov","middleInitial":"B.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147198,"text":"sir20155062 - 2015 - Estimated water use in Arkansas, 2010","interactions":[],"lastModifiedDate":"2015-06-10T14:41:58","indexId":"sir20155062","displayToPublicDate":"2015-06-10T14:30:00","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":"2015-5062","title":"Estimated water use in Arkansas, 2010","docAbstract":"The Arkansas Natural Resources Commission (ANRC) conducts an annual inventory of reported groundwater and surface-water withdrawals in Arkansas in cooperation with the U.S. Geological Survey (USGS). This report describes withdrawals from groundwater and surface-water resources in Arkansas for 2010. The report compiles withdrawals by county for 10 categories of water use—public supply, domestic (self-supplied), commercial (self-supplied), industrial (self-supplied), mining, livestock, aquaculture, irrigation, duck (hunting) clubs, and thermoelectric power generation. Water-use trends in Arkansas from 1965 to 2010 and sources of groundwater withdrawals also are described.
\nDuring 2010, total withdrawals from groundwater and surface-water sources in Arkansas were 11,300 million gallons per day (Mgal/d). Of the total withdrawn, about 69 percent (7,790 Mgal/d) was from groundwater. Public-supply systems served about 94 percent of Arkansas’ population. Public-supply total withdrawals were 429 Mgal/d, with about 69 percent from surface-water sources. The statewide average of per capita residential use from public-supply systems was about 155 gallons per day (gal/d). The domestic (self-supplied) water use was 12.8 Mgal/d. Total commercial (self-supplied) water use was 11.7 Mgal/d. Total industrial (self-supplied) water use was 276 Mgal/d. Total mining water use was 44.3 Mgal/d. Total livestock water use was 39.0 Mgal/d. Total aquaculture water use was 268 Mgal/d. Irrigation water use totaled 8,720 Mgal/d. Total duck (hunting) club water use was 216 Mgal/d. Total thermoelectric power water use was 1,540 Mgal/d.
\nThe three water-use categories with the largest withdrawals and their effects on total water use were examined. Total water use in Arkansas has increased about 428 percent between 1965 and 2010. Total groundwater use increased about 533 percent and total surface-water use increased about 289 percent. Since about 2000, total water use in Arkansas has plateaued, peaking in 2005. The plateauing of total water use is the result of decreasing surface-water use in the irrigation, thermoelectric power, and public-supply categories offsetting the continuing increases in groundwater use in the irrigation category. An examination of total water use and irrigation water-use changes over time demonstrates the increasing dominance of groundwater withdrawals for irrigation on Arkansas’ total water use. Total irrigation water use in Arkansas between 1965 and 2010 has increased about 652 percent. Withdrawals for thermoelectric power water use in Arkansas have continuously accounted for about half of the State’s total surface-water use for the period 1965–2010. Thermoelectric power water use in Arkansas between 1965 and 2010 increased 264 percent. The percent of Arkansas’ population served by public water suppliers has continued to increase while the percentage of the State’s total water use withdrawn by public water suppliers has remained relatively constant. Public-supply water use in Arkansas between 1965 and 2010 increased about 238 percent. Regardless of continuing increases in population, since about 2000, total public-supply water use in Arkansas has plateaued at about 425 Mgal/d.
\nGroundwater withdrawals comprised about 69 percent of the total amount of water used in Arkansas in 2010. Four aquifers in Arkansas account for more than 99 percent of the total groundwater withdrawals. The aquifers in deposits of Quaternary age supplied about 97 percent of all groundwater withdrawals. The Sparta-Memphis aquifer supplied about 2.5 percent of all groundwater withdrawals, the Wilcox aquifer supplied about 0.5 percent of all groundwater withdrawals, and the Paleozoic aquifer supplied about 0.3 percent of all groundwater withdrawals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155062","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission","usgsCitation":"Pugh, A., and Holland, T.W., 2015, Estimated water use in Arkansas, 2010: U.S. Geological Survey Scientific Investigations Report 2015-5062, v, 33 p., https://doi.org/10.3133/sir20155062.","productDescription":"v, 33 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-056330","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":301135,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5062/"},{"id":301136,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5062/pdf/sir2015-5062.pdf","text":"Report","size":"4.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":301137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155062.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.04296874999999,\n 33.02248191961359\n ],\n [\n -91.1480712890625,\n 33.0178760185549\n ],\n [\n -91.0601806640625,\n 33.426856918285004\n ],\n [\n -91.1810302734375,\n 33.56428403679499\n ],\n [\n -90.7745361328125,\n 34.29353023058858\n ],\n [\n -90.5767822265625,\n 34.43862840686652\n ],\n [\n -90.5328369140625,\n 34.642247047768535\n ],\n [\n -90.2581787109375,\n 34.939985151560435\n ],\n [\n -90.274658203125,\n 35.02999636902566\n ],\n [\n -90.08239746093749,\n 35.232159412017154\n ],\n [\n -90.1043701171875,\n 35.429344044107154\n ],\n [\n -89.6484375,\n 35.91129848822746\n ],\n [\n -89.7418212890625,\n 35.99578538642032\n ],\n [\n -90.3680419921875,\n 36.00467348670187\n ],\n [\n -90.3131103515625,\n 36.115690180653395\n ],\n [\n -90.0604248046875,\n 36.301845303684345\n ],\n [\n -90.076904296875,\n 36.40359962073253\n ],\n [\n -90.13732910156249,\n 36.43012234551576\n ],\n [\n -90.164794921875,\n 36.49638952000399\n ],\n [\n -94.61975097656249,\n 36.49638952000399\n ],\n [\n -94.43298339843749,\n 35.392408576059616\n ],\n [\n -94.48516845703125,\n 33.637489243170826\n ],\n [\n -94.38629150390624,\n 33.55055114384406\n ],\n [\n -94.0704345703125,\n 33.57572644624357\n ],\n [\n -94.04296874999999,\n 33.5459730276919\n ],\n [\n -94.04296874999999,\n 33.02248191961359\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557951b0e4b032353cc173f1","contributors":{"authors":[{"text":"Pugh, Aaron L. apugh@usgs.gov","contributorId":2480,"corporation":false,"usgs":true,"family":"Pugh","given":"Aaron L.","email":"apugh@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holland, Terrance W.","contributorId":45754,"corporation":false,"usgs":true,"family":"Holland","given":"Terrance","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":545722,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155002,"text":"70155002 - 2015 - Organic carbon burial in lakes and reservoirs of the conterminous United States","interactions":[],"lastModifiedDate":"2018-08-09T12:49:27","indexId":"70155002","displayToPublicDate":"2015-06-10T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Organic carbon burial in lakes and reservoirs of the conterminous United States","docAbstract":"Organic carbon (OC) burial in lacustrine sediments represents an important sink in the global carbon cycle; however, large-scale OC burial rates are poorly constrained, primarily because of the sparseness of available data sets. Here we present an analysis of OC burial rates in water bodies of the conterminous U.S. (CONUS) that takes advantage of recently developed national-scale data sets on reservoir sedimentation rates, sediment OC concentrations, lake OC burial rates, and water body distributions. We relate these data to basin characteristics and land use in a geostatistical analysis to develop an empirical model of OC burial in water bodies of the CONUS. Our results indicate that CONUS water bodies sequester 20.8 (95% CI: 9.4–65.8) Tg C yr–1, and spatial patterns in OC burial are strongly influenced by water body type, size, and abundance; land use; and soil and vegetation characteristics in surrounding areas. Carbon burial is greatest in the central and southeastern regions of the CONUS, where cultivation and an abundance of small water bodies enhance accumulation of sediment and OC in aquatic environments.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b00373","usgsCitation":"Clow, D.W., Stackpoole, S.M., Verdin, K.L., Butman, D.E., Zhu, Z., Krabbenhoft, D.P., and Striegl, R.G., 2015, Organic carbon burial in lakes and reservoirs of the conterminous United States: Environmental Science & Technology, v. 49, no. 13, p. 7614-7622, https://doi.org/10.1021/acs.est.5b00373.","productDescription":"9 p.","startPage":"7614","endPage":"7622","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064948","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"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":305957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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We conducted an experiment to evaluate primary productivity effects on MeHg accumulation in stream consumers. We varied light for 16 artificial streams creating a productivity gradient (oxygen production =0.048–0.71 mg O2 L–1 d–1) among streams. Two-level food webs were established consisting of phytoplankton/filter feeding clam, periphyton/grazing snail, and leaves/shredding amphipod (Hyalella azteca). Phytoplankton and periphyton biomass, along with MeHg removal from the water column, increased significantly with productivity, but MeHg concentrations in these primary producers declined. Methylmercury concentrations in clams and snails also declined with productivity, and consumer concentrations were strongly correlated with MeHg concentrations in primary producers. Heterotroph biomass on leaves, MeHg in leaves, and MeHg in Hyalella were unrelated to stream productivity. 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A.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":548466,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Terry B.","contributorId":115694,"corporation":false,"usgs":true,"family":"Johnson","given":"Terry","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":548467,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70142463,"text":"ds925 - 2015 - Hydrogeologic data and water-quality data from a thick unsaturated zone at a proposed wastewater-treatment facility site, Yucca Valley, San Bernardino County, California, 2008-11","interactions":[],"lastModifiedDate":"2015-06-10T09:04:49","indexId":"ds925","displayToPublicDate":"2015-06-10T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"925","title":"Hydrogeologic data and water-quality data from a thick unsaturated zone at a proposed wastewater-treatment facility site, Yucca Valley, San Bernardino County, California, 2008-11","docAbstract":"The Hi-Desert Water District, in the community of Yucca Valley, California, is considering constructing a wastewater-treatment facility and using the reclaimed water to recharge the aquifer system through surface spreading. The Hi-Desert Water District is concerned with possible effects of this recharge on water quality in the underlying groundwater system; therefore, an unsaturated-zone monitoring site was constructed by the U.S. Geological Survey (USGS) to characterize the unsaturated zone, monitor a pilot-scale recharge test, and, ultimately, to monitor the flow of reclaimed water to the water table once the treatment facility is constructed.
\nIn June and July 2008, a borehole (YVUZ-5) was drilled by the USGS through the unsaturated zone in the vicinity of the proposed wastewater-treatment facility site by using an overburden drilling method. In addition to a variety of unsaturated-zone instrumentation, an observation well screened near the water table was installed in the borehole. The drilling procedures, lithologic and geophysical data, construction details, physical properties of unsaturated alluvial deposits, and instrumentation installed in YVUZ-5 are described in this report. Core material was analyzed for bulk-density, porosity, effective porosity, volumetric water content, residual water content, saturation, effective saturation, matric-potential, and saturated hydraulic conductivity. Concentrations of soluble anions, including bromide, chloride, fluoride, sulfate, nitrate, nitrite, phosphate, and orthophosphate, in unsaturated-zone sediment and dissolved in unsaturated-zone water were determined by analyzing water extracted from drill-cutting material. A 0.1-acre pilot-scale infiltration pond was constructed in the vicinity of YVUZ-5. Water was applied to the pond over a period of about 8 months and allowed to infiltrate into the underlying unsaturated zone. Data were collected on chemical and isotopic composition of the groundwater, unsaturated-zone water, and infiltration pond water before, during, and after infiltration of water from the constructed pond. Selected drill cuttings and core samples collected during drilling were analyzed for the presence or absence of denitrifying and nitrate-reducing bacteria.
\nWater levels in the observation well ranged from about 367 to 370 feet below land surface during the period of the study. Measured saturated hydraulic conductivity of core material ranged from 2.1 to 11.0 feet per day. Average vertical infiltration rates in the pilot-scale infiltration pond ranged from 0.7 to 2.4 feet per day. Both denitrifying and nitrate-reducing bacteria were present in drill cutting material in most probable numbers ranging from below detection limits to 2,400,000 for denitrifying and to 93,000 for nitrate-reducing bacteria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds925","collaboration":"Prepared in cooperation with the Hi-Desert Water District","usgsCitation":"O’Leary, D., Clark, D.A., and Izbicki, J., 2015, Hydrogeologic data and water-quality data from a thick unsaturated zone at a proposed wastewater-treatment facility site, Yucca Valley, San Bernardino County, California, 2008-11: U.S. Geological Survey Data Series 925, x, 68 p., https://doi.org/10.3133/ds925.","productDescription":"x, 68 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2008-06-01","temporalEnd":"2011-12-31","ipdsId":"IP-010954","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":301106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds925.jpg"},{"id":301105,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0925/pdf/ds925.pdf","text":"Report","size":"4.3 MB","description":"Report"},{"id":301103,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0925/"}],"country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Yucca Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.4121627807617,\n 34.13511003175254\n ],\n [\n -116.40117645263673,\n 34.13979877188829\n ],\n [\n -116.39173507690428,\n 34.14164577990677\n ],\n [\n -116.38074874877931,\n 34.14235615685566\n ],\n [\n -116.37662887573241,\n 34.14406103716462\n ],\n [\n -116.37096405029297,\n 34.14420310897081\n ],\n [\n -116.36392593383789,\n 34.14292445411448\n ],\n [\n -116.36341094970702,\n 34.12388441525915\n ],\n [\n -116.36787414550781,\n 34.117205176698675\n ],\n [\n -116.36959075927736,\n 34.11024115351507\n ],\n [\n -116.36924743652344,\n 34.10498222546687\n ],\n [\n -116.36804580688475,\n 34.093468295940426\n ],\n [\n -116.36838912963867,\n 34.08550713253843\n ],\n [\n -116.38675689697266,\n 34.082094976194774\n ],\n [\n -116.40289306640624,\n 34.08323237692003\n ],\n [\n -116.40907287597656,\n 34.09034078531726\n ],\n [\n -116.42829895019531,\n 34.10000726293642\n ],\n [\n -116.4466667175293,\n 34.10341869733246\n ],\n [\n -116.46091461181639,\n 34.10498222546687\n ],\n [\n -116.46915435791016,\n 34.10810919505794\n ],\n [\n -116.4712142944336,\n 34.11663670650332\n ],\n [\n -116.46486282348631,\n 34.120189582533065\n ],\n [\n -116.46142959594725,\n 34.12331598996403\n ],\n [\n -116.45421981811522,\n 34.12502125438493\n ],\n [\n -116.43945693969727,\n 34.128715875972134\n ],\n [\n -116.4224624633789,\n 34.13042103147612\n ],\n [\n -116.41422271728514,\n 34.133831239293684\n ],\n [\n -116.4121627807617,\n 34.13511003175254\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"557951b2e4b032353cc173f7","contributors":{"authors":[{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Dennis A. daclark@usgs.gov","contributorId":1477,"corporation":false,"usgs":true,"family":"Clark","given":"Dennis","email":"daclark@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":548434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":1375,"corporation":false,"usgs":true,"family":"Izbicki","given":"John A.","email":"jaizbick@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":548436,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154933,"text":"70154933 - 2015 - Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion","interactions":[],"lastModifiedDate":"2017-07-20T14:07:27","indexId":"70154933","displayToPublicDate":"2015-06-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion","docAbstract":"Restoration activities inherently depend on understanding the spatial and temporal variation in basic demographic rates of the species of interest. For species that modify and maintain their own habitat such as the eastern oyster Crassostrea virginica, understanding demographic rates and their impacts on population and habitat success are crucial to ensuring restoration success. We measured oyster recruitment, density, size distribution, biomass, mortality and Perkinsus marinus infection intensity quarterly for 3 yr on shallow intertidal reefs created with shell cultch in March 2009. All reefs were located within Sister Lake, LA. Reefs were placed in pairs at 3 different locations within the lake; pairs were placed in low and medium energy sites within each location. Restored reefs placed within close proximity (<8 km) experienced very different development trajectories; there was high inter-site and inter-annual variation in recruitment and mortality of oysters, with only slight variation in growth curves. Despite this high variation in population dynamics, all reefs supported dense oyster populations (728 ± 102 ind. m-2) and high live oyster biomass (>14.6 kg m-2) at the end of 3 yr. Shell accretion, on average, exceeded estimated rates required to keep pace with local subsidence and shell loss. Variation in recruitment, growth and survival drives local site-specific population success, which highlights the need to understand local water quality, hydrodynamics, and metapopulation dynamics when planning restoration.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps11198","usgsCitation":"Casas, S.M., La Peyre, J.F., and La Peyre, M., 2015, Restoration of oyster reefs in an estuarine lake: population dynamics and shell accretion: Marine Ecology Progress Series, v. 524, p. 171-184, https://doi.org/10.3354/meps11198.","productDescription":"14 p.","startPage":"171","endPage":"184","ipdsId":"IP-057172","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps11198","text":"Publisher Index Page"},{"id":344146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Sister Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.00250244140624,\n 29.165053325564653\n ],\n [\n -90.79479217529297,\n 29.165053325564653\n ],\n [\n -90.79479217529297,\n 29.284602230535242\n ],\n [\n -91.00250244140624,\n 29.284602230535242\n ],\n [\n -91.00250244140624,\n 29.165053325564653\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"524","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5971c1c4e4b0ec1a4885dae0","contributors":{"authors":[{"text":"Casas, Sandra M.","contributorId":145452,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":705871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":705872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":564379,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70147007,"text":"sir20155058 - 2015 - Water-quality trends in the Scituate reservoir drainage area, Rhode Island, 1983-2012","interactions":[],"lastModifiedDate":"2015-06-09T14:49:52","indexId":"sir20155058","displayToPublicDate":"2015-06-09T16:00:00","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":"2015-5058","title":"Water-quality trends in the Scituate reservoir drainage area, Rhode Island, 1983-2012","docAbstract":"The Scituate Reservoir is the primary source of drinking water for more than 60 percent of the population of Rhode Island. Water-quality and streamflow data collected at 37 surface-water monitoring stations in the Scituate Reservoir drainage area, Rhode Island, from October 2001 through September 2012, water years (WYs) 2002-12, were analyzed to determine water-quality conditions and constituent loads in the drainage area. Trends in water quality, including physical properties and concentrations of constituents, were investigated for the same period and for a longer period from October 1982 through September 2012 (WYs 1983-2012). Water samples were collected and analyzed by the Providence Water Supply Board, the agency that manages the Scituate Reservoir. Streamflow data were collected by the U.S. Geological Survey. Median values and other summary statistics for pH, color, turbidity, alkalinity, chloride, nitrite, nitrate, total coliform bacteria, Escherichia coli (E. coli), and orthophosphate were calculated for WYs 2003-12 for all 37 monitoring stations. Instantaneous loads and yields (loads per unit area) of total coliform bacteria and E. coli, chloride, nitrite, nitrate, and orthophosphate were calculated for all sampling dates during WYs 2003-12 for 23 monitoring stations with streamflow data. Values of physical properties and concentrations of constituents were compared with State and Federal water-quality standards and guidelines and were related to streamflow, land-use characteristics, varying classes of timber operations, and impervious surface areas.
\nTributaries in the Scituate Reservoir drainage area for WYs 2003-12 were slightly acidic (median pH of all stations equal to 6.1) and contained low median concentrations of chloride (22 milligrams per liter [mg/L]), nitrate (0.01 mg/L as nitrogen), nitrite (0.001 mg/L as nitrogen), and orthophosphate (0.02 milligrams per liter as phosphorus [mg/L as P]). Turbidity and alkalinity values also were low with medians of 0.57 nephelometric turbidity units and 5.1 mg/L as calcium carbonate, respectively. Total coliform bacteria and E. coli were detected in most samples from all stations, but median concentrations were generally low-43 colony-forming units per 100 milliliters (mL) and 15 colony-forming units per 100 milliliters, respectively.
\nMedian values of several physical properties and median concentrations of several constituents correlated positively with the percentages of developed land and negatively with the percentages of forest cover in the drainage areas above the monitoring stations. Median concentrations of chloride correlated positively with the percentages of impervious land use in the subbasins of monitoring stations, likely reflecting the effects of deicing compounds applied to roadways during winter maintenance. Median concentrations of alkalinity also correlated positively with the percentage of impervious land use, which may be related to the deterioration of fabricated structures containing calcium carbonate. Median values of color correlated positively with the percentage of wetland area in the subbasins of monitoring stations, reflecting the natural sources of color in tributaries. Streamflows were negatively correlated with turbidity and concentrations of total coliform bacteria and E. coli, possibly reflecting seasonal patterns in which relatively high values of these properties and constituents occur during warmer low-flow conditions late in the water year. Similar seasonal patterns were observed for pH, alkalinity, and color. Negative correlations between concentrations of chloride and streamflow also were significant, indicating that deicing salts from roadways and other impervious surfaces that lack direct connection to the tributaries are likely infiltrating to the groundwater and discharging to some of the tributaries late in the water year. While salt-laden runoff directly enters some of the tributaries at roadway crossings, most of the roadway runoff infiltrates into the adjacent berms throughout the drainage area. Statistically significant correlations were not identified between various degrees of tree-canopy reduction caused by timber operations in the subbasins and median values or concentrations of water-quality properties.
\nLoads and yields of chloride, nitrate, nitrite, orthophosphate, and bacteria varied at monitoring stations in the Scituate Reservoir drainage area in WYs 2003-12. Loads generally were greater at stations in the Barden Reservoir and the Regulating Reservoir Subbasins that have larger drainage areas than in subbasins with smaller drainage areas. Subbasin yields of fecal-indicator bacteria and orthophosphate generally were largest in the Westconnaug Reservoir Subbasin, and subbasin yields for chloride, nitrate, and nitrite were largest in the Moswansicut Reservoir Subbasin in the northeastern part of the drainage area.
\nUpward trends in pH were identified for nearly half of the monitoring stations for WYs 1983-2012 and may reflect regional reductions in acid precipitation. Many upward trends in alkalinity also were identified for both the WYs 1983-2012 and for WYs 2003-12 periods and are likely related to the natural weathering of structures containing concrete or, in some cases, the application of lime or fertilizers on agriculture lands. Significant trends in chloride concentrations at most stations during WYs 1983-2012 were upward; however, results for WYs 2003-12 substantiate few significant upward trends and, in a few cases, downward trends were identified in several tributary drainage areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155058","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Smith, K.P., 2015, Water-quality trends in the Scituate reservoir drainage area, Rhode Island, 1983-2012: U.S. Geological Survey Scientific Investigations Report 2015-5058, viii, 56 p., https://doi.org/10.3133/sir20155058.","productDescription":"viii, 56 p.","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1983-01-01","temporalEnd":"2012-12-31","ipdsId":"IP-045415","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":301097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155058.jpg"},{"id":301094,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5058/"},{"id":301095,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5058/pdf/sir2015-5058.pdf","text":"Report","size":"13.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5058 Report"},{"id":301096,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5058/attachments/sir2015-5058_appendix.xlsx","text":"Appendix 1","size":"700 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5058 Appendix 1","linkHelpText":"Values for water-quality data collected by the Providence Water Supply Board at 37 monitoring stations in the Scituate Reservoir drainage area, water years 1983–2012."}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.79290771484375,\n 41.72623044860004\n ],\n [\n -71.8011474609375,\n 41.937019660425264\n ],\n [\n -71.54296874999999,\n 41.937019660425264\n ],\n [\n -71.553955078125,\n 41.734429390721\n ],\n [\n -71.79290771484375,\n 41.72623044860004\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55780020e4b032353cbeb6b7","contributors":{"authors":[{"text":"Smith, Kirk P. 0000-0003-0269-474X kpsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":1516,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","email":"kpsmith@usgs.gov","middleInitial":"P.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545577,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70148001,"text":"ofr20151085 - 2015 - Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2015-06-09T14:59:54","indexId":"ofr20151085","displayToPublicDate":"2015-06-09T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1085","title":"Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts","docAbstract":"A two-dimensional model was developed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to assess flow and chemical reaction associated with groundwater discharge through the subterranean estuary representative of coastal salt ponds of southern Cape Cod. The model simulated both the freshwater and saltwater flow systems and accounted for density-dependent flow, tidal fluctuation, and chemical reactivity among oxygen, dissolved organic carbon, nitrate, and ammonia. Not previously incorporated into one model, the interaction of these effects can now be simulated in the subterranean estuary context.
\nAn analysis of the flow system under mean-tide conditions was conducted first to provide the initial conditions for a subsequent analysis that included the effects of tidal fluctuations. Tidal fluctuations were simulated with a repeated couplet that represented a high tide-low tide sequence and alternating locations of head-dependent flux boundaries placed along the simulated seabed, above and below the levels of the respective high and low tides.
\nBoundary conditions for chemical species included nitrate in recharge, and oxygen and organic matter (including organic nitrogen) in infiltrating solutions of head-dependent boundaries. Reaction chemistry was limited to oxidative degradation of organic matter (including remineralization of ammonia) with oxygen or nitrate as electron acceptors and nitrification of ammonia in the presence of oxygen.
\nSimulations using the SEAWAT-2000 computer program resulted in two mixing zones-between freshwater and saltwater in a deep saltwater wedge and in an intertidal salt zone, which results from tidal fluctuation. The mixing zones are the principal locations where nitrogen attenuation reactions occurred-between organic matter in the saltwater zones of the aquifer and nitrate in the freshwater zone.
\nIn mean-tide PHT3D model simulations, 15 percent of nitrogen that is recharged was attenuated because of reaction with dissolved organic matter, a denitrification reaction that reduces nitrate to nitrogen gas. When a fluctuating tide was simulated, the amount of recharged nitrogen that was denitrified increased to 20 percent.
\nChemical reaction was controlled by the rate of mixing of freshwater and saltwater, which contained the reactants nitrate and dissolved organic matter, respectively, necessary for nitrogen attenuation reactions to take place. Reaction occurred in both the deep saltwater wedge and in an increased denitrification. However, mixing may also have been enhanced partly by numerical dispersion.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151085","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Colman, J.A., Carlson, C.S., and Robinson, C., 2015, Simulation of nitrogen attenuation in a subterranean estuary, representative of the southern coast of Cape Cod, Massachusetts: U.S. Geological Survey Open-File Report 2015-1085, vi, 30 p., https://doi.org/10.3133/ofr20151085.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056161","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":301100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151085.jpg"},{"id":301098,"rank":1,"type":{"id":15,"text":"Index 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C.","contributorId":70586,"corporation":false,"usgs":true,"family":"Robinson","given":"C.","affiliations":[],"preferred":false,"id":548417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148471,"text":"sir20155045 - 2015 - Hydrologic model of the Modesto Region, California, 1960-2004","interactions":[],"lastModifiedDate":"2015-06-09T08:50:49","indexId":"sir20155045","displayToPublicDate":"2015-06-09T10:00:00","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":"2015-5045","title":"Hydrologic model of the Modesto Region, California, 1960-2004","docAbstract":"Strategies for managing water supplies and groundwater quality in the Modesto region of the eastern San Joaquin Valley, California, are being formulated and evaluated by the Stanislaus and Tuolumne Rivers Groundwater Basin Association. Management issues and goals in the basin include an area in the lower part of the basin that requires drainage of the shallow water table to sustain agriculture, intra- and inter-basin migration of poor-quality groundwater, and efficient management of surface and groundwater supplies. To aid in the evaluation of water-management strategies, the U.S. Geological Survey and the Stanislaus and Tuolumne Rivers Groundwater Basin Association have developed a hydrologic model that simulates monthly groundwater and surface-water flow as governed by aquifer-system properties, annual and seasonal variations in climate, surface-water flow and availability, water use, and land use. The model was constructed by using the U.S. Geological Survey groundwater-modeling software MODFLOW-OWHM with the Farm Process.
\nAvailable measurements of groundwater pumped for municipal, irrigation, and drainage purposes are specified in the model, as are deliveries of surface water. Private irrigation pumping and recharge associated with agricultural land use were estimated by using the Farm Process in MODFLOW-OWHM, which simulates landscape processes associated with irrigated agriculture and other land uses. The distribution of hydraulic conductivity in the aquifer system was constrained by using data from more than 3,500 drillers' logs. The model was calibrated to 4,061 measured groundwater levels in 109 wells and 2,739 mean monthly surface-water flows measured at 6 streamgages during 1960-2004 by using a semi-automated method of parameter estimation.
\nThe model fit to groundwater levels was good, with an absolute mean residual of 0.8 feet; 74 percent of simulated heads were within 10 feet of those observed. The model fit to streamflow was biased low, but reasonable overall; the absolute mean residual of streamflow was 780 cubic feet per second, and 68 percent of simulated streamflows were within 500 cubic feet per second of observed. Hydrographs both of groundwater levels and streamflow indicated overall an acceptable fit to observed trends.
\nSimulated private agricultural pumpage ranged from about 780,000 to 1,380,000 acre-feet per year and averaged about 1,000,000 acre-feet per year from 1960 to 2004. Simulated deep percolation, or groundwater recharge from precipitation and irrigation, varied with climate and land use from about 1,100,000 to 1,700,000 acre-feet per year, averaging 1,360,000 acre-feet per year. Key limitations of the model with respect to estimating these large components of the water budget are the uncertainty associated with actual irrigation deliveries and irrigation efficiencies and the lack of metered data for private agricultural groundwater pumping. Different assumptions with respect to irrigation deliveries and efficiencies, and other model input, would result in different estimates of private agricultural groundwater use.
\nThe simulated exchange between groundwater and surface water was a small percentage of streamflow, typically ranging within a loss or gain of about 2 cubic feet per second per mile. The simulated exchange compared reasonably with limited independent estimates available, but substantial uncertainty is associated with these estimates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155045","collaboration":"Prepared in cooperation with the Stanislaus and Tuolumne Rivers Groundwater Basin Association","usgsCitation":"Phillips, S.P., Rewis, D.L., and Traum, J.A., 2015, Hydrologic model of the Modesto Region, California, 1960-2004: U.S. Geological Survey Scientific Investigations Report 2015-5045, x, 69 p., https://doi.org/10.3133/sir20155045.","productDescription":"x, 69 p.","numberOfPages":"84","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-014014","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":301085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155045.jpg"},{"id":301082,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5045/"},{"id":301084,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2015/5045/downloads/sir2015-5045_fig21supplement.xls","text":"Supplement to figure 21","size":"3.1 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5045 Supplement to figure 21"},{"id":301083,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5045/pdf/sir2015-5045.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5045 Report"}],"projection":"Albers equal area conic projection","datum":"North American Datum of 1983","country":"United States","state":"California","otherGeospatial":"Modesto","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.38381958007812,\n 37.56308554496544\n ],\n [\n -121.38381958007812,\n 37.565262680889965\n ],\n [\n -121.34948730468749,\n 37.565262680889965\n ],\n [\n -121.34948730468749,\n 37.56308554496544\n ],\n [\n -121.38381958007812,\n 37.56308554496544\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.33575439453126,\n 37.57505900514994\n ],\n [\n -120.838623046875,\n 37.9051994823157\n ],\n [\n -120.39093017578125,\n 37.470498470798724\n ],\n [\n -120.96633911132812,\n 37.11543110112874\n ],\n [\n -121.33575439453126,\n 37.57505900514994\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5578001de4b032353cbeb6b3","contributors":{"authors":[{"text":"Phillips, Steven P. 0000-0002-5107-868X sphillip@usgs.gov","orcid":"https://orcid.org/0000-0002-5107-868X","contributorId":1506,"corporation":false,"usgs":true,"family":"Phillips","given":"Steven","email":"sphillip@usgs.gov","middleInitial":"P.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rewis, Diane L. dlrewis@usgs.gov","contributorId":1511,"corporation":false,"usgs":true,"family":"Rewis","given":"Diane","email":"dlrewis@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":548353,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70154932,"text":"70154932 - 2015 - Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities","interactions":[],"lastModifiedDate":"2018-02-27T18:16:26","indexId":"70154932","displayToPublicDate":"2015-06-09T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1663,"text":"Fishery Bulletin","printIssn":"0090-0656","active":true,"publicationSubtype":{"id":10}},"title":"Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities","docAbstract":"Oysters are often cited as “ecosystem engineers” because they modify their environment. Coastal Louisiana contains extensive oyster reef areas that have been harvested for decades, and whether differences in habitat functions exist between those areas and nonharvested reefs is unclear. We compared reef physical structure and resident community metrics between these 2 subtidal reef types. Harvested reefs were more fragmented and had lower densities of live eastern oysters (Crassostrea virginica) and hooked mussels (Ischadium recurvum) than the nonharvested reefs. Stable isotope values (13C and 15N) of dominant nekton species and basal food sources were used to compare food web characteristics. Nonpelagic source contributions and trophic positions of dominant species were slightly elevated at harvested sites. Oyster harvesting appeared to have decreased the number of large oysters and to have increased the percentage of reefs that were nonliving by decreasing water column filtration and benthopelagic coupling. The differences in reef matrix composition, however, had little effect on resident nekton communities. Understanding the thresholds of reef habitat areas, the oyster density or oyster size distribution below which ecosystem services may be compromised, remains key to sustainable management.
","language":"English","publisher":"U.S. National Oceanic and Atmospheric Administration ","doi":"10.7755/FB.113.3.8","usgsCitation":"Beck, S., and LaPeyre, M.K., 2015, Effects of oyster harvest activities on Louisiana reef habitat and resident nekton communities: Fishery Bulletin, v. 113, no. 3, p. 327-340, https://doi.org/10.7755/FB.113.3.8.","productDescription":"14 p.","startPage":"327","endPage":"340","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039257","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7755/fb.113.3.8","text":"Publisher Index Page"},{"id":324972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Calcasieu Lake, Sabine Lake, Sister Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.06494140625,\n 29.036960648558267\n ],\n [\n -94.06494140625,\n 30.221101852485987\n ],\n [\n -90.802001953125,\n 30.221101852485987\n ],\n [\n -90.802001953125,\n 29.036960648558267\n ],\n [\n -94.06494140625,\n 29.036960648558267\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb6e4b081161682231e","contributors":{"authors":[{"text":"Beck, Steve","contributorId":172773,"corporation":false,"usgs":false,"family":"Beck","given":"Steve","email":"","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":641996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564378,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137557,"text":"70137557 - 2015 - Assessment of general health of fishes collected at selected sites in the Great Lakes Basin In 2012","interactions":[],"lastModifiedDate":"2015-11-17T09:45:04","indexId":"70137557","displayToPublicDate":"2015-06-09T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"112-2015","subseriesTitle":"Cooperator Science Series","title":"Assessment of general health of fishes collected at selected sites in the Great Lakes Basin In 2012","docAbstract":"During the past decade, there has been a substantive increase in the detection of “emerging contaminants”, defined as a new substance, chemical, or metabolite in the environment; or a legacy substance with a newly expanded distribution, altered release, or a newly recognized effect (such as endocrine disruption). Emerging contaminants include substances such as biogenic hormones (human and animal), brominated flame retardants, pharmaceuticals, personal care products, plasticizers, current use pesticides, detergents, and nanoparticles. These contaminants are frequently not regulated or inadequately regulated by state or Federal water quality programs. Information about the toxicity of these substances to fish and wildlife resources is generally limited, compared to more highly regulated contaminants, and some classes have been shown to cause affects (for example feminization of male fish, immunomodulation) that are not evaluated via traditional toxicity testing protocols. As a result, these compounds may pose a substantial, but currently poorly documented threat to aquatic ecosystems. Failure to identify and understand the impacts of these emerging contaminants on fish and wildlife resources may result in deleterious impacts to Great Lakes resources that can result in adverse ecological, economic and recreational consequences.
\nThe U. S. Fish and Wildlife Service received funding through the Great Lakes Restoration Initiative (GLRI) for an Early Warning Program to detect and identify emerging contaminants and to evaluate the effects of these contaminants on fish and wildlife. The U.S. Geological Survey (WV Cooperative Fish and Wildlife Research Unit and National Fish Health Research Laboratory, Leetown Science Center) developed and implemented a biological effects monitoring protocol to assist in this program. Fish collections and measurements of biomarkers of exposure in Fall 2010 and Spring 2011 occurred at individual sites within select Areas of Concern (AOCs). They provided an assessment of the utility of the suite of biomarkers and also identified sites for more in-depth analyses. Selected areas are characterized as areas with known emerging contaminants, sensitive or listed species, areas downstream from municipal wastewater discharges or receiving waters for industrial facilities, and/or areas susceptible to agricultural or urban contamination, or harbors or ports. The results of the 2010- 2011 studies were summarized in Blazer et al. 2014 a, b, c; Braham et al. in review and Blazer et al. in review.
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of wetlands: Applications and advances","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","isbn":"9781482237351","usgsCitation":"Rover, J.R., and Mushet, D.M., 2015, Mapping wetlands and surface water in the Prairie Pothole Region of North America: Chapter 16, chap. of Remote sensing of wetlands: Applications and advances, p. 347-368.","productDescription":"22 p.","startPage":"347","endPage":"368","ipdsId":"IP-045855","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":338323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Prairie Pothole Region","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63038e4b05ec7991310ed","contributors":{"authors":[{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":518225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":518224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147956,"text":"ofr20151092 - 2015 - Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015","interactions":[],"lastModifiedDate":"2015-06-08T14:04:53","indexId":"ofr20151092","displayToPublicDate":"2015-06-08T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1092","title":"Sixth International Limnogeology Congress: abstract volume, Reno, Nevada, June 15-19, 2015","docAbstract":"Limnogeology is the study of modern lakes and lake deposits in the geologic record. Limnogeologists have been active since the 1800s, but interest in limnogeology became prevalent in the early 1990s when it became clear that lake deposits contain continental environmental and climate records. A society that is focused on limnogeology would allow greater communication and access to research on these important subjects and contribute to providing sound science used to understand rapid global changes in our modern world; thus, the International Association of Limnogeology was founded in 1995 at the first International Limnogeology Congress (ILIC) held in Copenhagen, Denmark.
\nThe Sixth International Limnogeology Congress (ILIC6) was held in Reno, Nevada, from June 15–19, 2015. The ILIC meetings have been held every 4 years since the first meeting in1995 and were subsequently convened in Brest, France (1999), Tucson, Arizona, USA (2003), Barcelona, Spain (2007), and Konstanz, Germany (2011). The Congress in Reno, USA marks the second time the Congress has been held in the United States and more than 150 scientists from every part of the world participated. About one-half of the participants were from North America, together with scientists from Europe, South America, Asia, Africa, Australia, and New Zealand. The format of the Reno Congress followed the format originated at the Tucson Congress (ILIC3), which is unusual for scientific meetings. Nine keynote speakers spread throughout the Congress gave 1-hour talks, with the rest of the time available for viewing posters that were presented by the bulk of the participants. Keynote presentations were diverse and showed the breadth of research that is being done in lake systems worldwide. The abstracts of the keynote speakers and about 140 poster presentations are included in this volume. These posters cover a variety of limnologic, paleolimnologic, and limnogeologic topics including contaminant histories of lakes, the role of groundwater in lake processes, the formation of minerals in lake sediments, terminal lakes, how lakes reveal climate changes and paleohydrologic processes, the impact of volcanic emissions on lakes, as well as the biologic and chemical evolution of lake systems.
\nThe U.S. Geological Survey has sponsored each ILIC that has been held in the United States because of the importance of understanding paleoclimate and contaminant histories of lakes, two main themes of the Congress. This volume provides a permanent record of the wide variety of studies that are being conducted in modern lakes and ancient lake deposits worldwide, and it provides a stepping stone for any one desiring further discussion of the work that was presented at ILIC6.
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