{"pageNumber":"172","pageRowStart":"4275","pageSize":"25","recordCount":16502,"records":[{"id":70007307,"text":"sir20115235 - 2012 - Groundwater flow, quality (2007-10), and mixing in the Wind Cave National Park area, South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:31:09","indexId":"sir20115235","displayToPublicDate":"2012-02-10T00:00:00","publicationYear":"2012","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":"2011-5235","title":"Groundwater flow, quality (2007-10), and mixing in the Wind Cave National Park area, South Dakota","docAbstract":"A study of groundwater flow, quality, and mixing in relation to Wind Cave National Park in western South Dakota was conducted during 2007-11 by the U.S. Geological Survey in cooperation with the National Park Service because of water-quality concerns and to determine possible sources of groundwater contamination in the Wind Cave National Park area. A large area surrounding Wind Cave National Park was included in this study because to understand groundwater in the park, a general understanding of groundwater in the surrounding southern Black Hills is necessary. Three aquifers are of particular importance for this purpose: the Minnelusa, Madison, and Precambrian aquifers. Multivariate methods applied to hydrochemical data, consisting of principal component analysis (PCA), cluster analysis, and an end-member mixing model, were applied to characterize groundwater flow and mixing. This provided a way to assess characteristics important for groundwater quality, including the differentiation of hydrogeologic domains within the study area, sources of groundwater to these domains, and groundwater mixing within these domains. Groundwater and surface-water samples collected for this study were analyzed for common ions (calcium, magnesium, sodium, bicarbonate, chloride, silica, and sulfate), arsenic, stable isotopes of oxygen and hydrogen, specific conductance, and pH. These 12 variables were used in all multivariate methods. A total of 100 samples were collected from 60 sites from 2007 to 2010 and included stream sinks, cave drip, cave water bodies, springs, and wells. In previous approaches that combined PCA with end-member mixing, extreme-value samples identified by PCA typically were assumed to represent end members. In this study, end members were not assumed to have been sampled but rather were estimated and constrained by prior hydrologic knowledge. Also, the end-member mixing model was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes. Finally, conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case The latter item also provides an estimate of the relative effect of geochemical evolution along flow paths in comparison to mixing. The end-member mixing model estimated that Wind Cave sites received 38 percent of their groundwater inflow from local surface recharge, 34 percent from the upgradient Precambrian aquifer, 26 percent from surface recharge to the west, and 2 percent from regional flow. Artesian springs primarily received water from end members assumed to represent regional groundwater flow. Groundwater samples were collected and analyzed for chlorofluorocarbons, dissolved gasses (argon, carbon dioxide, methane, nitrogen, and oxygen), and tritium at selected sites and used to estimate groundwater age. Apparent ages, or model ages, for the Madison aquifer in the study area indicate that groundwater closest to surface recharge areas is youngest, with increasing age in a downgradient direction toward deeper parts of the aquifer. Arsenic concentrations in samples collected for this study ranged from 0.28 to 37.1 micrograms per liter (μg/L) with a median value of 6.4 μg/L, and 32 percent of these exceeded 10 μg/L. The highest arsenic concentrations in and near the study area are approximately coincident with the outcrop of the Minnelusa Formation and likely originated from arsenic in shale layers in this formation. Sample concentrations of nitrate plus nitrite were less than 2 milligrams per liter for 92 percent of samples collected, which is not a concern for drinking-water quality. Water samples were collected in the park and analyzed for five trace metals (chromium, copper, lithium, vanadium, and zinc), the concentrations of which did not correlate with arsenic. Dye tracing indicated hydraulic connection between three water bodies in Wind Cave.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115235","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Long, A.J., Ohms, M.J., and McKaskey, J.D., 2012, Groundwater flow, quality (2007-10), and mixing in the Wind Cave National Park area, South Dakota: U.S. Geological Survey Scientific Investigations Report 2011-5235, vi, 41 p.; Tables, https://doi.org/10.3133/sir20115235.","productDescription":"vi, 41 p.; Tables","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":116390,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5235.jpg"},{"id":115794,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5235/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 103.8,43.3 ], [ 103.8,43.8 ], [ 103.3,43.8 ], [ 103.3,43.3 ], [ 103.8,43.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2da3e4b0c8380cd5bf76","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ohms, Marc J.","contributorId":8613,"corporation":false,"usgs":true,"family":"Ohms","given":"Marc","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKaskey, Jonathan D.R.G.","contributorId":28000,"corporation":false,"usgs":true,"family":"McKaskey","given":"Jonathan","email":"","middleInitial":"D.R.G.","affiliations":[],"preferred":false,"id":356248,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007324,"text":"ds632 - 2012 - Water chemistry and electrical conductivity database for rivers in Yellowstone National Park, Wyoming","interactions":[],"lastModifiedDate":"2019-05-30T16:18:46","indexId":"ds632","displayToPublicDate":"2012-02-08T10:34:00","publicationYear":"2012","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":"632","title":"Water chemistry and electrical conductivity database for rivers in Yellowstone National Park, Wyoming","docAbstract":"<p>Chloride flux has been used to estimate heat flow in volcanic environments since the method was developed in New Zealand by Ellis and Wilson (1955). The method can be applied effectively at Yellowstone, because nearly all of the water discharged from its thermal features enters one of four major rivers (the Madison, Yellowstone, Snake, and Falls Rivers) that drain the park, and thus integration of chloride fluxes from all these rivers provides a means to monitor the total heat flow from the entire Yellowstone volcanic system (Fournier and others, 1976; Fournier, 1979). Fournier (1989) summarized the results and longterm heat-flow trends from Yellowstone, and later efforts that applied the chloride inventory method to estimate heat flow were described by Ingebritsen and others (2001) and Friedman and Norton (2007). Most recently, the U.S. Geological Survey (USGS), in conjunction with the National Park Service, has provided publicly accessible reports on solute flux, based on periodic sampling at selected locations (Hurwitz and others, 2007a,b). While these studies have provided a wealth of valuable data, winter travel restrictions and the great distances between sites present significant logistical challenges and have limited collection to a maximum of 28 samples per site annually.</p>\n<p>This study aims to quantify relations between solute concentrations (especially chloride) and electrical conductivity for several rivers in Yellowstone National Park (YNP), by using automated samplers and conductivity meters. Norton and Friedman (1985) found that chloride concentrations and electrical conductivity have a good correlation in the Falls, Snake, Madison, and Yellowstone Rivers. However, their results are based on limited sampling and hydrologic conditions and their relation with other solutes was not determined. Once the correlations are established, conductivity measurements can then be used as a proxy for chloride concentrations, thereby enabling continuous heat-flow estimation on a much finer timescale and at lower cost than is currently possible with direct sampling. This publication serves as a repository for all data collected during the course of the study from May 2010 through July 2011, but it does not include correlations between solutes and conductivity or recommendations for quantification of chloride through continuous electrical conductivity measurements. This will be the object of a future document.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reson, VA","doi":"10.3133/ds632","collaboration":"In cooperation with the National Park Service","usgsCitation":"Clor, L.E., McCleskey, R.B., Huebner, M., Lowenstern, J.B., Heasler, H.P., Mahony, D.L., Maloney, T., and Evans, W.C., 2012, Water chemistry and electrical conductivity database for rivers in Yellowstone National Park, Wyoming: U.S. Geological Survey Data Series 632, Report: iv, 6 p., https://doi.org/10.3133/ds632.","productDescription":"Report: iv, 6 p.","onlineOnly":"Y","temporalStart":"2010-05-01","temporalEnd":"2011-07-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":686,"text":"Yellowstone Volcano Observatory","active":false,"usgs":true}],"links":[{"id":116459,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_632.gif"},{"id":115782,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/632/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16666666666667,44.083333333333336 ], [ -111.16666666666667,45.166666666666664 ], [ -109.75,45.166666666666664 ], [ -109.75,44.083333333333336 ], [ -111.16666666666667,44.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc7cee4b08c986b32c630","contributors":{"authors":[{"text":"Clor, Laura E.","contributorId":94749,"corporation":false,"usgs":true,"family":"Clor","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":356264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":356257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huebner, Mark A.","contributorId":27902,"corporation":false,"usgs":true,"family":"Huebner","given":"Mark A.","affiliations":[],"preferred":false,"id":356260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":356259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heasler, Henry P.","contributorId":65935,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":356262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahony, Dan L.","contributorId":43911,"corporation":false,"usgs":true,"family":"Mahony","given":"Dan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maloney, Tim","contributorId":70537,"corporation":false,"usgs":true,"family":"Maloney","given":"Tim","email":"","affiliations":[],"preferred":false,"id":356263,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":356258,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70118274,"text":"70118274 - 2012 - Uranium isotopes (234U/238U) in rivers of the Yukon Basin (Alaska and Canada) as an aid in identifying water sources, with implications for monitoring hydrologic change in arctic regions","interactions":[],"lastModifiedDate":"2021-02-04T19:29:45.739973","indexId":"70118274","displayToPublicDate":"2012-02-02T10:53:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Uranium isotopes (<sup>234</sup>U/<sup>238</sup>U) in rivers of the Yukon Basin (Alaska and Canada) as an aid in identifying water sources, with implications for monitoring hydrologic change in arctic regions","title":"Uranium isotopes (234U/238U) in rivers of the Yukon Basin (Alaska and Canada) as an aid in identifying water sources, with implications for monitoring hydrologic change in arctic regions","docAbstract":"<p><span>The ability to detect hydrologic variation in large arctic river systems is of major importance in understanding and predicting effects of climate change in high-latitude environments. Monitoring uranium isotopes (</span><sup>234</sup><span>U and&nbsp;</span><sup>238</sup><span>U) in river water of the Yukon River Basin of Alaska and northwestern Canada (2001–2005) has enhanced the ability to identify water sources to rivers, as well as detect flow changes that have occurred over the 5-year study. Uranium isotopic data for the Yukon River and major tributaries (the Porcupine and Tanana rivers) identify several sources that contribute to river flow, including: deep groundwater, seasonally frozen river-valley alluvium groundwater, and high-elevation glacial melt water. The main-stem Yukon River exhibits patterns of uranium isotopic variation at several locations that reflect input from ice melt and shallow groundwater in the spring, as well as a multi-year pattern of increased variability in timing and relative amount of water supplied from higher elevations within the basin. Results of this study demonstrate both the utility of uranium isotopes in revealing sources of water in large river systems and of incorporating uranium isotope analysis in long-term monitoring of arctic river systems that attempt to assess the effects of climate change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-012-0829-3","usgsCitation":"Kraemer, T.F., and Brabets, T.P., 2012, Uranium isotopes (234U/238U) in rivers of the Yukon Basin (Alaska and Canada) as an aid in identifying water sources, with implications for monitoring hydrologic change in arctic regions: Hydrogeology Journal, v. 20, no. 3, p. 469-481, https://doi.org/10.1007/s10040-012-0829-3.","productDescription":"13 p.","startPage":"469","endPage":"481","ipdsId":"IP-017066","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":291134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Yukon Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -164.8,61.55 ], [ -164.8,66.62 ], [ -134.84,66.62 ], [ -134.84,61.55 ], [ -164.8,61.55 ] ] ] } } ] }","volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-02-02","publicationStatus":"PW","scienceBaseUri":"57f7f3c1e4b0bc0bec0a0b87","contributors":{"authors":[{"text":"Kraemer, Thomas F. tkraemer@usgs.gov","contributorId":3443,"corporation":false,"usgs":true,"family":"Kraemer","given":"Thomas","email":"tkraemer@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":496670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brabets, Timothy P. tbrabets@usgs.gov","contributorId":2087,"corporation":false,"usgs":true,"family":"Brabets","given":"Timothy","email":"tbrabets@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":496669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007288,"text":"ofr20111280 - 2012 - Preliminary assessment of channel stability and bed-material transport in the Rogue River basin, southwestern Oregon","interactions":[],"lastModifiedDate":"2019-04-25T10:21:52","indexId":"ofr20111280","displayToPublicDate":"2012-02-02T00:00:00","publicationYear":"2012","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":"2011-1280","title":"Preliminary assessment of channel stability and bed-material transport in the Rogue River basin, southwestern Oregon","docAbstract":"<p>This report summarizes a preliminary assessment of bed-material transport, vertical and lateral channel changes, and existing datasets for the Rogue River basin, which encompasses 13,390 square kilometers (km<sup>2</sup>) along the southwestern Oregon coast. This study, conducted to inform permitting decisions regarding instream gravel mining, revealed that:</p><ul><li>The Rogue River in its lowermost 178.5 kilometers (km) alternates between confined and unconfined segments, and is predominately alluvial along its lowermost 44 km. The study area on the mainstem Rogue River can be divided into five reaches based on topography, hydrology, and tidal influence. The largely confined, active channel flows over bedrock and coarse bed material composed chiefly of boulders and cobbles in the Grants Pass (river kilometers [RKM] 178.5–152.8), Merlin (RKM 152.8–132.7), and Galice Reaches (RKM 132.7–43.9). Within these confined reaches, the channel contains few bars and has stable planforms except for locally wider segments such as the Brushy Chutes area in the Merlin Reach. Conversely, the active channel flows over predominately alluvial material and contains nearly continuous gravel bars in the Lobster Creek Reach (RKM 43.9–6.7). The channel in the Tidal Reach (RKM 6.7–0) is also alluvial, but tidally affected and unconfined until RKM 2. The Lobster Creek and Tidal Reaches contain some of the most extensive bar deposits within the Rogue River study area.</li><li>For the 56.6-km-long segment of the Applegate River included in this study, the river was divided into two reaches based on topography. In the Upper Applegate River Reach (RKM 56.6–41.6), the confined, active channel flows over alluvium and bedrock and has few bars. In the Lower Applegate River Reach (RKM 41.6–0), the active channel alternates between confined and unconfined segments, flows predominantly over alluvium, shifts laterally in unconfined sections, and contains more numerous and larger bars.</li><li>The 6.5-km segment of the lower Illinois River included in this study was treated as one reach. This stretch of the Illinois River is fully alluvial, with nearly continuous gravel bars flanking the channel. The width of the active channel is confined by the narrow topography of the valley.</li><li>The primary human activities that have likely influenced channel condition, bed-material transport, and the extent and area of bars are (1) historical gold mining throughout the basin, (2) historical and ongoing gravel mining from instream sites in the Tidal Reach and floodplain sites such as those in the Lower Applegate River Reach, (3) hydropower and flow control structures, (4) forest management and fires throughout the basin, and (5) dredging. These anthropogenic activities likely have varying effects on channel condition and the transport and deposition of sediment throughout the study area and over time.</li><li>Several vertical (aspect) aerial photographs (including the complete coverages of the study area taken in 1995, 2000, 2005, and 2009 and the partial coverages taken in 1967, 1968, 1969, and 1990) are available for assessing long-term changes in attributes such as channel condition, bar area, and vegetation cover. A Light Detection And Ranging (LiDAR) survey performed in 2007–2008 provides 1-m resolution topographic data for sections of the Grants Pass (RKM 178.5–167.6) and Lobster Creek (RKM 17.8–12 and 10–6.7) Reaches and the entire Tidal Reach.</li><li>Previous studies provide information for specific locations, including (1) an estimated average annual bed-material load of 76,000 m<sup>3</sup><span>&nbsp;</span>at the former Savage Rapids Dam site (RKM 173.1, Grants Pass Reach), (2) over 490 m of channel shifting from 1965 to 1991 in the Brushy Chutes area (RKM 142–141, Merlin Reach), (3) active sediment transport and channel processes in the Lobster Creek Reach, (4) lateral channel migration in the Tidal Reach, and (5) up to 1.8 m of bar aggradation from the town of Agness (RKM 45.1) to the Rogue River mouth following the flood in water year 1997.</li><li>Review of the repeat surveys conducted at the instream gravel-mining sites on Elephant and Wedderburn Bars tentatively indicated that these bars (1) experience some bed-material deposition in most years and more substantial deposition following high flows such as those in water years 1997 and 2006, and (2) are dynamic and subject to local scour and deposition.</li><li>Results from the specific gage analyses completed for five long-term USGS streamflow-gaging stations showed that only the Grants Pass station on the Rogue River (RKM 164.4, Grants Pass Reach) experienced substantial changes in the stage–discharge relationship across a range of flows from 1938 to 2009. Observed changes indicate channel incision at this site.</li><li>The Rogue and Applegate Rivers are dynamic and subject to channel shifting, aggradation, and incision, as indicated by channel cross sections surveyed during 2000–2010 on the Rogue River and 1933–2010 on the Applegate River. The elevation of the riverbed changed substantially (defined here as more than a net 0.5 m of incision or aggradation) at three locations on the Rogue River (near RKM 164.5, 139.2, and 1.3) and two on the Applegate River (near RKM 42 and 13.5).</li><li>Systematic delineation of bar features from vertical photographs taken in 1967–69, 2005, and 2009 indicated that most of the repeat mapping sites had a net loss in bar area over the analysis period, ranging from 22 percent at the Oak Flat site (Illinois River Reach) to 69 percent at the Thompson Creek site (Upper Applegate River Reach). Bar area remained stable at the Williams Creek site (Lower Applegate River Reach), but increased 11 percent at the Elephant Rock site (Tidal Reach). The declines in bar area were associated primarily with the establishment of vegetation on upper bar surfaces lacking obvious vegetation in the 1960s. Some of the apparent changes in bar area may also owe to some differences in streamflow and tide levels between the vertical photographs.</li><li>On the mainstem Rogue River, the median diameter of surface particles varied from 21 mm at the Wedderburn Bar in the Tidal Reach to more than 100 millimeters (mm) at some of the coarsest bars in the Galice Reach. Low armoring ratios tentatively indicated that sediment supply likely exceeds transport capacity at Orchard (Lobster Creek Reach) and Wedderburn (Tidal Reach) Bars. Conversely, relatively higher armoring ratios indicated that transport capacity likely is in balance with sediment supply at Roberston Bridge Bar (Merlin Reach) and exceeds sediment supply at Rogue River City (Grants Pass Reach), Solitude Riffle (Galice Reach), and Hooks Gulch (Galice Reach) Bars.</li><li>Limited particle data were collected in the study areas on the Applegate and Illinois Rivers. Particle size measurements and armoring ratios tentatively show that sediment supply likely exceeds transport capacity at Bakery Bar in the Lower Applegate Reach. Also, the bed material exiting the Applegate River is likely finer than the bed material in the Rogue River, whereas bed material exiting the Illinois River is likely coarser than the bed material in the Rogue River.</li><li>Together, these observations and findings indicate that (1) the size, area, and overall position of bars in the Rogue River study area are determined largely by valley physiography, such that unconfined alluvial sections have large channel-flanking bars, whereas confined sections have fewer and smaller bars, (2) segments within the Grants Pass, Merlin, Tidal, Upper Applegate River, and Lower Applegate River Reaches are prone to vertical and/or lateral channel adjustments, and (3) the balance between transport capacity and sediment supply varies throughout the study area.</li><li>High winter flows and the steep, confined character of much of the Rogue River within the study area result in a river corridor with a high capacity to transport bed material. In the Grants Pass and Galice Reaches, the extensive in-channel bedrock as well as the sparse number and coarse texture of bars indicate that these reaches are likely supply-limited, meaning that the river’s transport capacity exceeds the supply of bed material. In contrast, the Lobster Creek and Tidal Reaches and perhaps portions of the Merlin Reach receive bed-material inputs that more closely balance or even exceed the river’s transport capacity.</li><li>The lowermost reaches on the Illinois and Applegate Rivers are fully alluvial segments that are likely transport limited, meaning sediment supply likely exceeds the river's transport capacity. However, the steeper Upper Applegate River Reach is likely supply-limited as indicated by the sparse number and area of bars mapped in this reach and the intermittent bedrock outcrops in the channel. The sediment loads derived from these large tributaries draining the Klamath Mountains are probably important contributions to the overall transport of bed material in the Rogue River basin.</li><li>Compared to the slightly smaller Umpqua River basin (drainage area 12,103 km<sup>2</sup>) to the north, the Rogue River (13,390 km<sup>2</sup>) likely transports more bed material. Although this conclusion of greater bed-material transport in the Rogue River is tentative in the absence of either actual transport measurements or transport capacity calculations, empirical evidence, including the much greater area and frequency of bars along most of the Rogue River as well as the much shorter tidal reach on the Rogue River (6.7 km) compared to the Umpqua River (40 km) supports this inference.</li><li>More detailed investigations of bed-material transport rates and channel morphology would support assessments of channel condition, longitudinal trends in particle size, the relation between sediment supply and transport capacity, and the potential causes of bar area loss (such as vegetation establishment and potential changes in peak flow patterns). The reaches most practical for such assessments and relevant to several management and ecological issues are (1) the lower Rogue River basin, including the Lobster Creek and Tidal Reaches of the Rogue River as well as the Illinois River Reach and (2) the Lower Applegate River Reach.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111280","usgsCitation":"Jones, K.L., O'Connor, J., Keith, M., Mangano, J.F., and Wallick, J., 2012, Preliminary assessment of channel stability and bed-material transport in the Rogue River basin, southwestern Oregon: U.S. Geological Survey Open-File Report 2011-1280, viii, 96 p., https://doi.org/10.3133/ofr20111280.","productDescription":"viii, 96 p.","numberOfPages":"107","onlineOnly":"Y","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":116813,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1280.jpg"},{"id":115765,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1280/","linkFileType":{"id":5,"text":"html"}}],"projection":"UTM, Zone 10N","datum":"North American Datum 1983","country":"United States","state":"Oregon","county":"Jackson county, Josephine county","otherGeospatial":"Rogue River Basin, Applegate River, llinois River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.75,42 ], [ -124.75,43.25 ], [ -122,43.25 ], [ -122,42 ], [ -124.75,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a82e5e4b0c8380cd7bcd7","contributors":{"authors":[{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":356242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keith, Mackenzie K.","contributorId":16560,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie K.","affiliations":[],"preferred":false,"id":356241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356240,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042896,"text":"70042896 - 2012 - Utilizing multichannel electrical resistivity methods to examine the dynamics of the fresh water–seawater interface in two Hawaiian groundwater systems","interactions":[],"lastModifiedDate":"2016-08-29T20:22:06","indexId":"70042896","displayToPublicDate":"2012-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Utilizing multichannel electrical resistivity methods to examine the dynamics of the fresh water–seawater interface in two Hawaiian groundwater systems","docAbstract":"<p><span>Multichannel electrical resistivity (ER) measurements were conducted at two contrasting coastal sites in Hawaii to obtain new information on the spatial scales and dynamics of the fresh water&ndash;seawater interface and rates of coastal groundwater exchange. At Kiholo Bay (located on the dry, Kona side of the Big Island) and at a site in Maunalua Bay (Oahu), there is an evidence for abundant submarine groundwater discharge (SGD). However, the hydrologic and geologic controls on coastal groundwater discharge are likely to be different at these two sites. While at Kiholo Bay SGD is predominantly through lava tubes, at the Maunalua Bay site exchange occurs mostly through nearshore submarine springs. In order to calculate SGD fluxes, it is important to understand the spatial and temporal scales of coastal groundwater exchange. From ER time series data, subsurface salinity distributions were calculated using site-specific formation factors. A salinity mass balance box model was then used to calculate rates of point source (i.e., spatially discreet) and total fresh water discharge. From these data, mean SGD rates were calculated for Kiholo Bay (&sim;9,200&nbsp;m</span><sup><span>3</span></sup><span>/d) and for the Maunalua Bay site (&sim;5,900&nbsp;m</span><sup><span>3</span></sup><span>/d). While such results are on the same order of magnitude to geochemical tracer-derived SGD rates, the ER SGD rates provide enhanced details of coastal groundwater exchange that can enable a more cohesive whole watershed perspective.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011JC007509","usgsCitation":"Dimova, N.T., Swarzenski, P.W., Dulaiova, H., and Glenn, C.R., 2012, Utilizing multichannel electrical resistivity methods to examine the dynamics of the fresh water–seawater interface in two Hawaiian groundwater systems: Journal of Geophysical Research C: Oceans, v. 117, no. C2, C02012; 12 p., https://doi.org/10.1029/2011JC007509.","productDescription":"C02012; 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032654","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474583,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011jc007509","text":"Publisher Index Page"},{"id":272289,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Big Island, Kiholo Bay, Oahu, Wailupe Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.9,\n              19.83\n            ],\n            [\n              -155.9,\n              19.88\n            ],\n            [\n              -155.95,\n              19.88\n            ],\n            [\n              -155.95,\n              19.83\n            ],\n            [\n              -155.9,\n              19.83\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -157.8,\n              21.25\n            ],\n            [\n              -157.8,\n              21.3\n            ],\n            [\n              -157.75,\n              21.3\n            ],\n            [\n              -157.75,\n              21.25\n            ],\n            [\n              -157.8,\n              21.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"C2","noUsgsAuthors":false,"publicationDate":"2012-02-07","publicationStatus":"PW","scienceBaseUri":"51955851e4b0a933d82c4cd7","contributors":{"authors":[{"text":"Dimova, Natasha T.","contributorId":50769,"corporation":false,"usgs":true,"family":"Dimova","given":"Natasha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":472529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":472526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dulaiova, Henrieta","contributorId":46635,"corporation":false,"usgs":true,"family":"Dulaiova","given":"Henrieta","affiliations":[],"preferred":false,"id":472528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Craig R.","contributorId":10850,"corporation":false,"usgs":true,"family":"Glenn","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157554,"text":"70157554 - 2012 - Using micro-seismicity and seismic velocities to map subsurface geologic and hydrologic structure within the Coso geothermal field, California","interactions":[],"lastModifiedDate":"2015-09-25T16:50:08","indexId":"70157554","displayToPublicDate":"2012-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using micro-seismicity and seismic velocities to map subsurface geologic and hydrologic structure within the Coso geothermal field, California","docAbstract":"<p><span>Geothermal reservoirs derive their capacity for fluid and heat transport in large part from faults and fractures. Micro-seismicity generated on such faults and fractures can be used to map larger fault structures as well as secondary fractures that add access to hot rock, fluid storage and recharge capacity necessary to have a sustainable geothermal resource. Additionally, inversion of seismic velocities from micro-seismicity permits imaging of regions subject to the combined effects of fracture density, fluid pressure and steam content, among other factors. We relocate 14 years of seismicity (1996-2009) in the Coso geothermal field using differential travel times and simultaneously invert for seismic velocities to improve our knowledge of the subsurface geologic and hydrologic structure. We utilize over 60,000 micro-seismic events using waveform cross-correlation to augment to expansive catalog of P- and S-wave differential travel times recorded at Coso. We further carry out rigorous uncertainty estimation and find that our results are precise to within 10s of meters of relative location error. We find that relocated micro-seismicity outlines prominent, through-going faults in the reservoir in some cases. We also find that a significant portion of seismicity remains diffuse and does not cluster into more sharply defined major structures. The seismic velocity structure reveals heterogeneous distributions of compressional (Vp) and shear (Vs) wave speed, with Vp generally lower in the main field when compared to the east flank and Vs varying more significantly in the shallow portions of the reservoir. The Vp/Vs ratio appears to outline the two main compartments of the reservoir at depths of -0.5 to 1.5 km (relative to sea-level), with a ridge of relatively high Vp/Vs separating the main field from the east flank. In the deeper portion of the reservoir this ridge is less prominent. Our results indicate that high-precision relocations of micro-seismicity can provide useful insight into: 1) prominent structural features, faults and fractures that contribute to the flow of fluid and heat in the reservoir; 2) diffuse seismicity throughout the reservoir representing fractures that likely contribute to the overall permeability, storage and heat exchange capacity of the reservoir, but which are not confined to prominent faults; and 3) seismic velocities that outline the major hydrologic compartments within the Coso geothermal field.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings, Thirty-Seventh Workshop on Geothermal Reservoir Engineering","conferenceTitle":"Stanford Geothermal Workshop","conferenceDate":"January 30-February 1, 2012","conferenceLocation":"Stanford, California","language":"English","publisher":"Stanford Geothermal Program","usgsCitation":"Kaven, J.O., Hickman, S.H., and Davatzes, N.C., 2012, Using micro-seismicity and seismic velocities to map subsurface geologic and hydrologic structure within the Coso geothermal field, California, <i>in</i> Proceedings, Thirty-Seventh Workshop on Geothermal Reservoir Engineering, Stanford, California, January 30-February 1, 2012, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":308626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Coso geothermal field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.89840698242188,\n              35.89516901521329\n            ],\n            [\n              -117.89840698242188,\n              35.943547570924665\n            ],\n            [\n              -117.83111572265625,\n              35.943547570924665\n            ],\n            [\n              -117.83111572265625,\n              35.89516901521329\n            ],\n            [\n              -117.89840698242188,\n              35.89516901521329\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56067042e4b058f706e51976","contributors":{"authors":[{"text":"Kaven, Joern Ole","contributorId":148002,"corporation":false,"usgs":false,"family":"Kaven","given":"Joern","email":"","middleInitial":"Ole","affiliations":[],"preferred":false,"id":573582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":573583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davatzes, Nicholas C.","contributorId":138855,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":573584,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178329,"text":"70178329 - 2012 - In situ quantification of spatial and temporal variability of hyporheic exchange in static and mobile gravel-bed rivers","interactions":[],"lastModifiedDate":"2020-11-16T21:12:06.444802","indexId":"70178329","displayToPublicDate":"2012-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>In situ</i> quantification of spatial and temporal variability of hyporheic exchange in static and mobile gravel-bed rivers","title":"In situ quantification of spatial and temporal variability of hyporheic exchange in static and mobile gravel-bed rivers","docAbstract":"<p><span>Seepage meters modified for use in flowing water were used to directly measure rates of exchange between surface and subsurface water in a gravel‐ and cobble bed river in western Pennsylvania, USA (Allegheny River, Qmean = 190 m3/s) and a sand‐ and gravel‐bed river in Colorado, USA (South Platte River, Qmean = 9·7 m3/s). Study reaches at the Allegheny River were located downstream from a dam. The bed was stable with moss, algae, and river grass present in many locations. Median seepage was + 0·28 m/d and seepage was highly variable among measurement locations. Upward and downward seepage greatly exceeded the median seepage rate, ranging from + 2·26 (upward) to − 3·76 (downward) m/d. At the South Platte River site, substantial local‐scale bed topography as well as mobile bedforms resulted in spatial and temporal variability in seepage greatly in exceedence of the median groundwater discharge rate of 0·24 m/d. Both upward and downward seepage were recorded along every transect across the river with rates ranging from + 2·37 to − 3·40 m/d. Despite a stable bed, which commonly facilitates clogging by fine‐grained or organic sediments, seepage rates at the Allegheny River were not reduced relative to those at the South Platte River. Seepage rate and direction depended primarily on measurement position relative to local‐ and meso‐scale bed topography at both rivers. Hydraulic gradients were small at nearly all seepage‐measurement locations and commonly were not a good indicator of seepage rate or direction. Therefore, measuring hydraulic gradient and hydraulic conductivity at in‐stream piezometers may be misleading if used to determine seepage flux across the sediment‐water interface. Such a method assumes that flow between the well screen and sediment‐water interface is vertical, which appears to be a poor assumption in coarse‐grained hyporheic settings.&nbsp;</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8154","usgsCitation":"Rosenberry, D.O., Klos, P.Z., and Neal, A., 2012, In situ quantification of spatial and temporal variability of hyporheic exchange in static and mobile gravel-bed rivers: Hydrological Processes, v. 26, no. 4, p. 604-612, https://doi.org/10.1002/hyp.8154.","productDescription":"9 p.","startPage":"604","endPage":"612","ipdsId":"IP-025940","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":498897,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.8154","text":"Publisher Index Page"},{"id":330976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Allegheny River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.2828369140625,\n              41.84910468610387\n            ],\n            [\n              -79.43389892578125,\n              41.71187978193456\n            ],\n            [\n              -79.36248779296874,\n              41.64623592868676\n            ],\n            [\n              -79.20318603515625,\n              41.81021999190292\n            ],\n            [\n              -79.2828369140625,\n              41.84910468610387\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-18","publicationStatus":"PW","scienceBaseUri":"582adb46e4b0c253bdfff0ba","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klos, P. Zion","contributorId":176826,"corporation":false,"usgs":false,"family":"Klos","given":"P.","email":"","middleInitial":"Zion","affiliations":[],"preferred":false,"id":653609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, Andrew","contributorId":176825,"corporation":false,"usgs":false,"family":"Neal","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":653608,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178327,"text":"70178327 - 2012 - Influence of a thin veneer of low-hydraulic-conductivity sediment on modelled exchange between river water and groundwater in response to induced infiltration","interactions":[],"lastModifiedDate":"2021-04-06T12:44:43.709149","indexId":"70178327","displayToPublicDate":"2012-02-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Influence of a thin veneer of low-hydraulic-conductivity sediment on modelled exchange between river water and groundwater in response to induced infiltration","docAbstract":"<p><span>A thin layer of fine‐grained sediment commonly is deposited at the sediment–water interface of streams and rivers during low‐flow conditions, and may hinder exchange at the sediment–water interface similar to that observed at many riverbank‐filtration (RBF) sites. Results from a numerical groundwater‐flow model indicate that a low‐permeability veneer reduces the contribution of river water to a pumping well in a riparian aquifer to various degrees, depending on simulated hydraulic gradients, hydrogeological properties, and pumping conditions. Seepage of river water is reduced by 5–10% when a 2‐cm thick, low‐permeability veneer is present on the bed surface. Increasing thickness of the low‐permeability layer to 0·1 m has little effect on distribution of seepage or percentage contribution from the river to the pumping well. A three‐orders‐of‐magnitude reduction in hydraulic conductivity of the veneer is required to reduce seepage from the river to the extent typically associated with clogging at RBF sites. This degree of reduction is much larger than field‐measured values that were on the order of a factor of 20–25. Over 90% of seepage occurs within 12 m of the shoreline closest to the pumping well for most simulations. Virtually no seepage occurs through the thalweg near the shoreline opposite the pumping well, although no low‐permeability sediment was simulated for the thalweg. These results are relevant to natural settings that favour formation of a substantial, low‐permeability sediment veneer, as well as central‐pivot irrigation systems, and municipal water supplies where river seepage is induced via pumping wells.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.8153","usgsCitation":"Rosenberry, D.O., and Healy, R.W., 2012, Influence of a thin veneer of low-hydraulic-conductivity sediment on modelled exchange between river water and groundwater in response to induced infiltration: Hydrological Processes, v. 26, no. 4, p. 544-557, https://doi.org/10.1002/hyp.8153.","productDescription":"14 p.","startPage":"544","endPage":"557","ipdsId":"IP-015284","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":384886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Colorado","otherGeospatial":"Platte River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.57861328125,\n              39.41922073655956\n            ],\n            [\n              -102.041015625,\n              39.41922073655956\n            ],\n            [\n              -102.041015625,\n              41.104190944576466\n            ],\n            [\n              -105.57861328125,\n              41.104190944576466\n            ],\n            [\n              -105.57861328125,\n              39.41922073655956\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-05-25","publicationStatus":"PW","scienceBaseUri":"582c2ce6e4b0c253be072c0e","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":653601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Healy, Richard W. 0000-0002-0224-1858 rwhealy@usgs.gov","orcid":"https://orcid.org/0000-0002-0224-1858","contributorId":658,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","email":"rwhealy@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007246,"text":"sir20115207 - 2012 - Survey of hydrologic models and hydrologic data needs for tracking flow in the Rio Grande, north-central New Mexico, 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20115207","displayToPublicDate":"2012-01-31T00:00:00","publicationYear":"2012","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":"2011-5207","title":"Survey of hydrologic models and hydrologic data needs for tracking flow in the Rio Grande, north-central New Mexico, 2010","docAbstract":"The six Middle Rio Grande Pueblos have prior and paramount rights to deliveries of water from the Rio Grande for their use. When the pueblos or the Bureau of Indian Affairs Designated Engineer identifies a need for additional flow on the Rio Grande, the Designated Engineer is tasked with deciding the timing and amount of releases of prior and paramount water from storage at El Vado Reservoir to meet the needs of the pueblos. Over the last three decades, numerous models have been developed by Federal, State, and local agencies in New Mexico to simulate, understand, and (or) manage flows in the Middle Rio Grande upstream from Elephant Butte Reservoir. In 2008, the Coalition of Six Middle Rio Grande Basin Pueblos entered into a cooperative agreement with the U.S. Geological Survey to conduct a comprehensive survey of these hydrologic models and their capacity to quantify and track various components of flow. The survey of hydrologic models provided in this report will help water-resource managers at the pueblos, as well as the Designated Engineer, make informed water-resource-management decisions that affect the prior and paramount water use. Analysis of 4 publicly available surface-water models and 13 publicly available groundwater models shows that, although elements from many models can be helpful in tracking flow in the Rio Grande, numerous data gaps and modeling needs indicate that accurate, consistent, and timely tracking of flow on the Rio Grande could be improved. Deficient or poorly constrained hydrologic variables are sources of uncertainty in hydrologic models that can be reduced with the acquisition of more refined data. Data gaps need to be filled to allow hydrologic models to be run on a real-time basis and thus ensure predictable water deliveries to meet needs for irrigation, domestic, stock, and other water uses. Timeliness of flow-data reporting is necessary to facilitate real-time model simulation, but even daily data are sometimes difficult to obtain because the data come from multiple sources. Each surface-water model produces results that could be helpful in quantifying the flow of the Rio Grande, specifically by helping to track water as it moves down the channel of the Rio Grande and by improving the understanding of river hydraulics for the specified reaches. The ability of each surface-water model to track flow on the Rio Grande varies according to the purpose for which each model was designed. The purpose of Upper Rio Grande Water Operations Model (URGWOM) - to simulate water storage and delivery operations in the Rio Grande - is more applicable to tracking flow on the Rio Grande than are any of the other surface-water models surveyed. Specifically, the strengths of URGWOM in relation to modeling flow are the details and attention given to the accounting of Rio Grande flow and San Juan-Chama flow at a daily time step. The most significant difficulty in using any of the surveyed surface-water models for the purpose of predicting the need for requested water releases is that none of the surface-water models surveyed consider water accounting on a real-time basis. Groundwater models that provide detailed simulations of shallow groundwater flow in the vicinity of the Rio Grande can provide large-scale estimates of flow between the Rio Grande and shallow aquifers, which can be an important component of the Rio Grande water budget as a whole. The groundwater models surveyed for this report cannot, however, be expected to provide simulations of flow at time scales of less than the simulated time step (1 month to 1 year in most cases). Of those of the currently used groundwater models, the purpose of model 13 - to simulate the shallow riparian groundwater environment - is the most appropriate for examining local-scale surface-water/groundwater interactions. The basin-scale models, however, are also important in understanding the large-scale water balances between the aquifers and the surface water. In the case of the Upper and Middle Rio Grande Valley, models 6, 10, and 12 are the most accurate and current groundwater models available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115207","collaboration":"Prepared in cooperation with the Coalition of Six Middle Rio Grande Basin Pueblos","usgsCitation":"Tillery, A., and Eggleston, J.R., 2012, Survey of hydrologic models and hydrologic data needs for tracking flow in the Rio Grande, north-central New Mexico, 2010: U.S. Geological Survey Scientific Investigations Report 2011-5207, vii, 39 p., https://doi.org/10.3133/sir20115207.","productDescription":"vii, 39 p.","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":116455,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5207.gif"},{"id":115750,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5207/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator, zone 13","datum":"North American Datum of 1988","country":"United States","state":"Colorado;New Mexico","otherGeospatial":"Rio Grande Basin;Elephant Butte Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -105,33 ], [ -105,39 ], [ -109,39 ], [ -109,33 ], [ -105,33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505ba295e4b08c986b31f7e8","contributors":{"authors":[{"text":"Tillery, Anne","contributorId":16120,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","affiliations":[],"preferred":false,"id":356177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleston, Jack R.","contributorId":20011,"corporation":false,"usgs":true,"family":"Eggleston","given":"Jack","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":356178,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70007232,"text":"sir20125015 - 2012 - Preliminary analysis of the hydrologic effects of temporary shutdowns of the Rondout-West Branch Water Tunnel on the groundwater-flow system in Wawarsing, New York","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20125015","displayToPublicDate":"2012-01-31T00:00:00","publicationYear":"2012","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":"2012-5015","title":"Preliminary analysis of the hydrologic effects of temporary shutdowns of the Rondout-West Branch Water Tunnel on the groundwater-flow system in Wawarsing, New York","docAbstract":"Flooding of streets and residential basements, and bacterial contamination of private-supply wells with <em>Escherichia coli (E. coli)</em> are recurring problems in the Rondout Valley near the Town of Wawarsing, Ulster County, New York. Leakage from the Rondout-West Branch (RWB) Water Tunnel and above-normal precipitation have been suspected of causing elevated groundwater levels and basement flooding. The hydrology of a 12-square-mile study area within the Town of Wawarsing was studied during 2008-10. A network of 41 wells (23 unconsolidated-aquifer and 18 bedrock wells) and 2 surface-water sites was used to monitor the hydrologic effects of four RWB Water Tunnel shutdowns. The study area is underlain by a sequence of northeast-trending sedimentary rocks that include limestone, shale, and sandstone. The bedrock contains dissolution features, fractures, and faults. Inflows that ranged from less than 1 to more than 9,000 gallons per minute from the fractured bedrock were documented during construction of the 13.5-foot-diameter RWB Water Tunnel through the sedimentary-rock sequence 710 feet (ft) beneath the study-area valley. Glacial sediments infill the valley above the bedrock sequence and consist of clay, silt, sand, and gravel. The groundwater-flow system in the valley consists of both fractured-rock and unconsolidated aquifers. Water levels in both the bedrock and unconsolidated aquifers respond to variations in seasonal precipitation. During the past 9 years (2002-10), annual precipitation at Central Park, N.Y., has exceeded the 141-year mean. \r\nPotentiometric-surface maps indicate that groundwater in the bedrock flows from the surrounding hills on the east and west sides of the valley toward the center of the valley, and ultimately toward the northeast. On average, water levels in the bedrock aquifer had seasonal differences of 5.3 ft. Analysis of hydrographs of bedrock wells indicates that many of these wells are affected by the RWB Tunnel leakage. Tunnel-leakage influences (water level and temperature changes) in the bedrock aquifer were measured at distances up to 7,000 ft from the RWB Tunnel. Water levels in the bedrock changed as much as 12 ft within 0.5 hour during tunnel shutdowns. Nine of the 10 wells that responded to the shutdowns showed a water-level response of 5 ft or greater. Changes in water levels ranged from 1.5 to 12 ft, with tunnel-leakage influence delay times ranging from 0.5 to 60 hours. Many of the longest tunnel-influence delay times and smallest water-level changes were in wells located closest to the tunnel in shale. Tunnel-influence response of the bedrock aquifer is consistent with its preliminary characterization as an anisotropic aquifer with greater transmissivity along bedding strike than across bedding strike. This tunnel-influence response is also consistent with the likely presence of discrete high-transmissivity networks along fractured limestone beds that have undergone dissolution. A lack of bedrock observation wells in half of the study area hampered a more thorough analysis of the extent of leakage from the RWB Tunnel in the study area. \r\nOn average, water levels in the unconsolidated aquifer had a seasonal difference of 5.0 ft. Some unconsolidated-aquifer wells indicated water-level changes due to tunnel leakage. The locations of unconsolidated-aquifer wells with measurable water-level changes due to tunnel leakage correlated with those in the bedrock. Water levels in the unconsolidated aquifer changed as much as 2.5 ft within 18 hours of tunnel shutdowns, but water-level changes in some unconsolidated-aquifer wells were smaller or nonexistent.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125015","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Stumm, F., Chu, A., Como, M.D., and Noll, M.L., 2012, Preliminary analysis of the hydrologic effects of temporary shutdowns of the Rondout-West Branch Water Tunnel on the groundwater-flow system in Wawarsing, New York: U.S. Geological Survey Scientific Investigations Report 2012-5015, vi, 48 p., https://doi.org/10.3133/sir20125015.","productDescription":"vi, 48 p.","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":116387,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5015.gif"},{"id":115713,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5015/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Ulster","city":"Wawarsing","otherGeospatial":"Rondout Valley;Rondout-west Branch (rwb) Water Tunnel","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a82d1e4b0c8380cd7bc70","contributors":{"authors":[{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Como, Michael D. 0000-0002-7911-5390 mcomo@usgs.gov","orcid":"https://orcid.org/0000-0002-7911-5390","contributorId":4651,"corporation":false,"usgs":true,"family":"Como","given":"Michael","email":"mcomo@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356150,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70007228,"text":"ds657 - 2012 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2006-10","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"ds657","displayToPublicDate":"2012-01-26T00:00:00","publicationYear":"2012","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":"657","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2006-10","docAbstract":"The Cedar River alluvial aquifer is the primary source of municipal water in the Cedar Rapids, Iowa area. Municipal wells are completed in the alluvial aquifer approximately 40 to 80 feet below land surface. The City of Cedar Rapids and the U.S. Geological Survey have been conducting a cooperative study of the groundwater-flow system and water quality of the aquifer since 1992. Cooperative reports between the City of Cedar Rapids and the U.S. Geological Survey have documented hydrologic and water-quality data, geochemistry, and groundwater models. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, surface-water-groundwater interaction, and pesticides in groundwater and surface water. Water-quality analyses were conducted for major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, and sulfate), nutrients (ammonia as nitrogen, nitrite as nitrogen, nitrite plus nitrate as nitrogen, and orthophosphate as phosphorus), dissolved organic carbon, and selected pesticides including two degradates of the herbicide atrazine. Physical characteristics (alkalinity, dissolved oxygen, pH, specific conductance and water temperature) were measured in the field and recorded for each water sample collected. This report presents the results of routine water-quality data-collection activities from January 2006 through December 2010. Methods of data collection, quality-assurance, and water-quality analyses are presented. Data include the results of water-quality analyses from quarterly sampling from monitoring wells, municipal wells, and the Cedar River.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds657","collaboration":"Prepared in cooperation with the City of Cedar Rapids","usgsCitation":"Littin, G.R., 2012, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 2006-10: U.S. Geological Survey Data Series 657, vi, 32 p., https://doi.org/10.3133/ds657.","productDescription":"vi, 32 p.","onlineOnly":"Y","temporalStart":"2006-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":116449,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_657.jpg"},{"id":115710,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/657/","linkFileType":{"id":5,"text":"html"}}],"scale":"1000000","projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Iowa","county":"Linn","city":"Cedar Rapids","otherGeospatial":"Cedar River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.75,41.96666666666667 ], [ -91.75,42.03333333333333 ], [ -91.66666666666667,42.03333333333333 ], [ -91.66666666666667,41.96666666666667 ], [ -91.75,41.96666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b8cc3e4b08c986b3180ef","contributors":{"authors":[{"text":"Littin, Gregory R. grlittin@usgs.gov","contributorId":1732,"corporation":false,"usgs":true,"family":"Littin","given":"Gregory","email":"grlittin@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":356146,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156821,"text":"70156821 - 2012 - Fluid geochemistry of Yucca Mountain and vicinity","interactions":[],"lastModifiedDate":"2015-08-28T16:03:13","indexId":"70156821","displayToPublicDate":"2012-01-19T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fluid geochemistry of Yucca Mountain and vicinity","docAbstract":"<p><span>Yucca Mountain, a site in southwest Nevada, has been proposed for a deep underground radioactive waste repository. An extensive database of geochemical and isotopic characteristics has been established for pore waters and gases from the unsaturated zone, perched water, and saturated zone waters in the Yucca Mountain area. The development of this database has been driven by diverse needs of the Yucca Mountain Project, especially those aspects of the project involving process modeling and performance assessment. Water and gas chemistries influence the sorption behavior of radionuclides and the solubility of the radionuclide compounds that form. The chemistry of waters that may infiltrate the proposed repository will be determined in part by that of water present in the unsaturated zone above the proposed repository horizon, whereas pore-water compositions beneath the repository horizon will influence the sorption behavior of the radionuclides transported toward the water table. However, more relevant to the discussion in this chapter, development and testing of conceptual flow and transport models for the Yucca Mountain hydrologic system are strengthened through the incorporation of natural environmental tracer data into the process. Chemical and isotopic data are used to establish bounds on key hydrologic parameters and to provide corroborative evidence for model assumptions and predictions. Examples of specific issues addressed by these data include spatial and temporal variability in net fluxes, the role of faults in controlling flow paths, fracture-matrix interactions, the age and origin of perched water, and the distribution of water traveltimes.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrology and geochemistry of Yucca Mountain and vicinity, Southern Nevada and California","language":"English","publisher":"Geological Society of America","doi":"10.1130/2012.1209(04)","usgsCitation":"Marshall, B.D., Moscati, R.J., and Patterson, G.L., 2012, Fluid geochemistry of Yucca Mountain and vicinity, chap. <i>of</i> Hydrology and geochemistry of Yucca Mountain and vicinity, Southern Nevada and California, p. 143-218, https://doi.org/10.1130/2012.1209(04).","productDescription":"76 p.","startPage":"143","endPage":"218","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":307694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.79702758789061,\n              36.6959520787169\n            ],\n            [\n              -116.79702758789061,\n              37.12857106113289\n            ],\n            [\n              -116.09527587890624,\n              37.12857106113289\n            ],\n            [\n              -116.09527587890624,\n              36.6959520787169\n            ],\n            [\n              -116.79702758789061,\n              36.6959520787169\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f545e4b0bc0bec0a152b","contributors":{"editors":[{"text":"Stuckless, John S. 0000-0002-7536-0444 jstuckless@usgs.gov","orcid":"https://orcid.org/0000-0002-7536-0444","contributorId":4974,"corporation":false,"usgs":true,"family":"Stuckless","given":"John","email":"jstuckless@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":570695,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Marshall, Brian D. 0000-0002-8093-0093 bdmarsha@usgs.gov","orcid":"https://orcid.org/0000-0002-8093-0093","contributorId":520,"corporation":false,"usgs":true,"family":"Marshall","given":"Brian","email":"bdmarsha@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":570693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Gary L. glpatter@usgs.gov","contributorId":519,"corporation":false,"usgs":true,"family":"Patterson","given":"Gary","email":"glpatter@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":570694,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046842,"text":"70046842 - 2012 - Evidence from 12-year study links ecosystem changes in the Gulf of Maine with climate change","interactions":[],"lastModifiedDate":"2014-01-14T11:58:56","indexId":"70046842","displayToPublicDate":"2012-01-11T11:50:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1444,"text":"EcoSystem Indicator Partnership Journal","active":true,"publicationSubtype":{"id":10}},"title":"Evidence from 12-year study links ecosystem changes in the Gulf of Maine with climate change","docAbstract":"Investigators at the Bigelow Laboratory for Ocean Sciences (East Boothbay, Maine) and the U.S. Geological Survey collaborated to study ecosystem changes in the Gulf of Maine.  As part of the Gulf of Maine North Atlantic Time Series (GNATS), a comprehensive long-term study of hydrographic, biological, optical and chemical properties, multiple cruises have been conducted each year since 2001 by using a portable laboratory aboard different vessels (figure 1) and occasionally a remotely controlled glider (figure 2). Data collected during these cruises, when analyzed within the context of a century of climatological and streamflow data, document changes in temperature, salinity, and coastal ocean productivity that appear to be related to recent increases in precipitation and streamflow.  These results are evidence of a link between changing hydrologic conditions on land and changes in coastal ocean productivity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"EcoSystem Indicator Partnership Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"EcoSystem Indicator Partnership","usgsCitation":"Aiken, G.R., Huntington, T.G., Balch, W., Drapeau, D., and Bowler, B., 2012, Evidence from 12-year study links ecosystem changes in the Gulf of Maine with climate change: EcoSystem Indicator Partnership Journal, no. July-August 2012.","ipdsId":"IP-038464","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":281001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280996,"type":{"id":11,"text":"Document"},"url":"https://www.gulfofmaine.org/2/esip-monthly-journals/2012-07-08/"}],"otherGeospatial":"Gulf Of Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -70.65,41.98 ], [ -70.65,44.57 ], [ -66.04,44.57 ], [ -66.04,41.98 ], [ -70.65,41.98 ] ] ] } } ] }","issue":"July-August 2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd589fe4b0b290850f834a","contributors":{"authors":[{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Thomas G. 0000-0002-9427-3530 thunting@usgs.gov","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":1884,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas","email":"thunting@usgs.gov","middleInitial":"G.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balch, William","contributorId":65380,"corporation":false,"usgs":true,"family":"Balch","given":"William","affiliations":[],"preferred":false,"id":480444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drapeau, David","contributorId":30136,"corporation":false,"usgs":true,"family":"Drapeau","given":"David","affiliations":[],"preferred":false,"id":480443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowler, Bruce","contributorId":92169,"corporation":false,"usgs":true,"family":"Bowler","given":"Bruce","affiliations":[],"preferred":false,"id":480445,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70007098,"text":"fs20123005 - 2012 - Watershed modeling applications in south Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:29:11","indexId":"fs20123005","displayToPublicDate":"2012-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3005","title":"Watershed modeling applications in south Texas","docAbstract":"<p>Watershed models can be used to simulate natural and human-altered processes including the flow of water and associated transport of sediment, chemicals, nutrients, and microbial organisms within a watershed. Simulation of these processes is useful for addressing a wide range of water-resource challenges, such as quantifying changes in water availability over time, understanding the effects of development and land-use changes on water resources, quantifying changes in constituent loads and yields over time, and quantifying aquifer recharge temporally and spatially throughout a watershed.</p>\n<p>The U.S. Geological Survey (USGS), in cooperation with State and Federal agency partners, developed simulation models for several watersheds in south Texas. These models provide the capability to simulate scenarios of possible future conditions and management alternatives to help water-resource professionals with planning decisions. The program used for creating these Texas watershed models is the Hydrological Simulation Program - FORTRAN (HSPF). HSPF is one of the most comprehensive watershed modeling programs because it can simulate a variety of stream and watershed conditions with reasonable accuracy and enables flexibility in adjusting the model to simulate alternative conditions or scenarios. The HSPF model provides time-series data simulating water movement (runoff from land surfaces, infiltration of water through soil layers, flow in stream channels) and water-quality parameter values and constituent concentrations associated with the water movement at any selected location in the watershed. Time-series outputs from an HSPF simulation are continuous (for example, hourly or daily). Continuous models provide the advantage of simulating watershed processes for a full range of streamflow conditions. Continuous models can illustrate how processes that appreciably affect water-quality conditions during low flows might have relatively minor effects on water-quality conditions during high flows.</p>\n<p>This fact sheet presents an overview of six selected watershed modeling studies by the USGS and partners that address a variety of water-resource issues in south Texas. These studies provide examples of modeling applications and demonstrate the usefulness and versatility of watershed models in aiding the understanding of hydrologic systems.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123005","usgsCitation":"Pedraza, D.E., and Ockerman, D.J., 2012, Watershed modeling applications in south Texas: U.S. Geological Survey Fact Sheet 2012-3005, 4 p., https://doi.org/10.3133/fs20123005.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3005.gif"},{"id":112455,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3005/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,25.75 ], [ -101,30.25 ], [ -96,30.25 ], [ -96,25.75 ], [ -101,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf76e4b08c986b32e8ed","contributors":{"authors":[{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70005003,"text":"70005003 - 2012 - Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California","interactions":[],"lastModifiedDate":"2022-12-20T14:32:17.341155","indexId":"70005003","displayToPublicDate":"2012-01-02T04:15:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California","docAbstract":"<h1>Introduction</h1>\n<p>The phenomenon of arsenite [As(III)] oxidation by aerobic bacteria was first reported by Green (1918), and the many subsequent discoveries made in this realm, most occurring over the past three decades, are the primary focus of this book. In contrast, the fact that select anaerobes can also achieve this feat was an entirely serendipitous discovery. As often occurs in science, the intended path leading towards a stated goal can take an unexpected turn, ultimately leading to greater rewards than those originally anticipated. The intellectual freedom to meander such a path of curiosity-driven research is a great gift especially when one arrives at an unexpected revelation. It is perhaps the most rewarding aspect of a scientist's career. Such was the case when we first uncovered the phenomenon of anaerobic As(III) oxidation.</p>\n<p>Our arsenic-related field work focused on Mono Lake, California because of its exceptionally high levels of dissolved inorganic arsenic (~200 &mu;M), and the fact that we had previously isolated two novel species of arsenate [As(V)]-respiring bacteria, <i>Bacillus arseniciselenatis</i> and <i>B. selenitireducens</i> from its bottom sediments(Switzer Blum <i>et al.</i>, 1998). Radiotracer investigations employing <sup>73</sup>As(V) measured high As(V)&nbsp;reductase activity in the anoxic water column of the lake, yielding an estimate that this electron sink could mineralize approximately 8-14% of annual phytoplankton productivity (Oremland <i>et al.</i>, 2000), a value confirmed independently on the basis of mass balance considerations (Hollibaugh <i>et al.</i>, 2005). In both studies both groups also used cultivation-based methods (Most-Probable-Numbers) to estimate the densities of&nbsp;As(V)-respiring bacteria in the anoxic water column, and arrived at similar low but detectable values (e.g. 10<sup>2</sup>-10<sup>3</sup> ml<sup>-1</sup>). The next goal was to determine what taxa of&nbsp;As(V)-respiring prokaryotes were involved in these water-column transformations, using culture-independent analyses (Denaturing Gradient Gel Electrophoresis) of As(V)-amended anoxic bottom water.</p>\n<p>We had expected to find 16S rRNA gene amplicon sequences similar to those from the bacilli we isolated from the sediments, but instead found a few rather unremarkable amplicons in the Epsilon, Gamma and Delta proteobacteria; yet these incubations showed a complete reduction of the added As(V), caused by sulfide-linked oxidation by resident chemoautotrophs of the Delta-proteobacteria (Hoeft <i>et al.</i>, 2004; Hollibaugh <i>et al.</i>, 2006). This As(V) reductase activity was inhibited by nitrate, while addition of As(III) to nitrate-amended waters resulted in the formation of As(V). This observation led us to conclude that there was anaerobic biological oxidation of As(III) to As(V), linked to the provided nitrate ions (Hoeft <i>et al.</i>, 2002).</p>\n<p>&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The metabolism of arsenite","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Oremland, R.S., Stolz, J.F., and Saltikov, C.W., 2012, Anaerobic oxidation of arsenite by autotrophic bacteria: The view from Mono Lake, California, chap. 6 <i>of</i> The metabolism of arsenite, p. 73-80.","productDescription":"8 p.","startPage":"73","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-031602","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":320534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcnetbase.com/doi/book/10.1201/b12350"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.1683691984489,\n              38.09372588107411\n            ],\n            [\n              -119.1683691984489,\n              37.91122405649551\n            ],\n            [\n              -118.86936440270786,\n              37.91122405649551\n            ],\n            [\n              -118.86936440270786,\n              38.09372588107411\n            ],\n            [\n              -119.1683691984489,\n              38.09372588107411\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571f3faee4b071321fe569fd","contributors":{"editors":[{"text":"Santini, Joanne M.","contributorId":168895,"corporation":false,"usgs":false,"family":"Santini","given":"Joanne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":627615,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ward, Seamus A.","contributorId":168896,"corporation":false,"usgs":false,"family":"Ward","given":"Seamus","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":627616,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":627612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolz, John F.","contributorId":47225,"corporation":false,"usgs":true,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":627613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":627614,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042734,"text":"70042734 - 2012 - Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","interactions":[],"lastModifiedDate":"2021-03-29T18:24:24.482065","indexId":"70042734","displayToPublicDate":"2012-01-01T16:07:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes","docAbstract":"<p><span>Freshwater forested wetlands commonly occur in the lower Coastal Plain of the southeastern US with baldcypress (</span><i class=\"EmphasisTypeItalic \">Taxodium distichum</i><span>&nbsp;[L.] L.C. Rich.) and water tupelo (</span><i class=\"EmphasisTypeItalic \">Nyssa aquatica</i><span>&nbsp;L.) often being the dominant trees. Extensive anthropogenic activities combined with eustatic sea-level rise and land subsidence have caused widespread hydrological changes in many of these forests. In addition, hurricanes (a common, although aperiodic occurrence) cause wide-spread damage from wind and storm surge events, with impacts exacerbated by human-mediated coastal modifications (</span><i class=\"EmphasisTypeItalic \">e.g.</i><span>, dredging, navigation channels, etc.). Restoration of forested wetlands in coastal areas is important because emergent canopies can greatly diminish wind penetration, thereby reducing the wind stress available to generate surface waves and storm surge that are the major cause of damage to coastal ecosystems and their surrounding communities. While there is an overall paucity of large-scale restoration efforts within coastal forested wetlands of the southeastern US, we have determined important characteristics that should drive future efforts. Restoration efforts may be enhanced considerably if coupled with hydrological enhancement, such as freshwater, sediment, or sewage wastewater diversions. Large-scale restoration of coastal forests should be attempted to create a landscape capable of minimizing storm impacts and maximizing wetland sustainability in the face of climate change. Planting is the preferred regeneration method in many forested wetland sites because hydrological alterations have increased flooding, and planted seedlings must be protected from herbivory to enhance establishment. Programs identifying salt tolerance in coastal forest tree species need to be continued to help increase resilience to repetitive storm surge events.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"A goal-oriented approach to forest landscape restoration","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/978-94-007-5338-9_16","usgsCitation":"Conner, W.H., Krauss, K.W., and Shaffer, G., 2012, Restoration of freshwater cypress-tupelo wetlands in the southeastern U.S. following severe hurricanes, chap. <i>of</i> A goal-oriented approach to forest landscape restoration, v. 16, p. 423-442, https://doi.org/10.1007/978-94-007-5338-9_16.","productDescription":"20 p.","startPage":"423","endPage":"442","numberOfPages":"20","ipdsId":"IP-019683","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":275653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Delaware, Florida, Georgia, Louisiana, Mississippi, New Jersey, North Carolina, Pennsylvania, South Carolina, Texas, Virginia","otherGeospatial":"Lower Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.02,24.52 ], [ -99.02,41.96 ], [ -72.16,41.96 ], [ -72.16,24.52 ], [ -99.02,24.52 ] ] ] } } ] }","volume":"16","noUsgsAuthors":false,"publicationDate":"2012-10-26","publicationStatus":"PW","scienceBaseUri":"51fa31e7e4b076c3a8d8267e","contributors":{"authors":[{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":472132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":472130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Gary P.","contributorId":72688,"corporation":false,"usgs":true,"family":"Shaffer","given":"Gary P.","affiliations":[],"preferred":false,"id":472131,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043501,"text":"70043501 - 2012 - Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance","interactions":[],"lastModifiedDate":"2022-03-30T17:21:38.000969","indexId":"70043501","displayToPublicDate":"2012-01-01T15:41:23","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance","docAbstract":"<p><span>Evapotranspiration (ET) is an important component of the hydrologic budget because it režects the exchange of mass and energy between the soil-water-vegetation system and the atmosphere. Prevailing weather conditions inžuence potential or reference ET through variables such as radiation, temperature, wind, and relativity humidity. In addition to these weather variables, actual ET (ETa) is also affected by land cover type and condition, as well as soil moisture. The dependence of ETa on land cover and soil moisture, and its direct relationship with carbon dioxide assimilation in plants, makes it an important variable for monitoring drought, crop yield, and biomass-a critical capability for decision makers interested in food security, grain markets, water allocation, and carbon sequestration (Bastiaanssen et al., 2005).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of drought: Innovative monitoring approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b11863-13","usgsCitation":"Senay, G., Bohms, S., Verdin, J.P., Anderson, M.C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J.R., and Kustas, W.P., 2012, Remote sensing of evapotranspiration for operational drought monitoring using principles of water and energy balance, chap. 6 <i>of</i> Remote sensing of drought: Innovative monitoring approaches, p. 123-144, https://doi.org/10.1201/b11863-13.","productDescription":"22 p.","startPage":"123","endPage":"144","ipdsId":"IP-030945","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":276555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520a03fbe4b0026c2bc11c9d","contributors":{"editors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":509209,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":509210,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":509208,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":66808,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel B.","affiliations":[],"preferred":false,"id":473723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohms, Stefanie 0000-0002-2979-4655 sbohms@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":3148,"corporation":false,"usgs":true,"family":"Bohms","given":"Stefanie","email":"sbohms@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":839295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hain, Christopher","contributorId":191966,"corporation":false,"usgs":false,"family":"Hain","given":"Christopher","email":"","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":839296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wardlow, Brian D.","contributorId":270267,"corporation":false,"usgs":false,"family":"Wardlow","given":"Brian D.","affiliations":[{"id":33286,"text":"School of Natural Resources, University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":839297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pimstein, Agustin","contributorId":289546,"corporation":false,"usgs":false,"family":"Pimstein","given":"Agustin","email":"","affiliations":[],"preferred":false,"id":839298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mecikalski, John R.","contributorId":70689,"corporation":false,"usgs":true,"family":"Mecikalski","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":839299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kustas, William P.","contributorId":29962,"corporation":false,"usgs":false,"family":"Kustas","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":839300,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70004987,"text":"70004987 - 2012 - Population dynamics of <i>Corbicula fluminea</i> (M&#252;ller, 1774) in mesohaline and oligohaline habitats: Invasion success in a Southern Europe estuary","interactions":[],"lastModifiedDate":"2020-01-14T08:31:46","indexId":"70004987","displayToPublicDate":"2012-01-01T14:57:45","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Population dynamics of <i>Corbicula fluminea</i> (M&#252;ller, 1774) in mesohaline and oligohaline habitats: Invasion success in a Southern Europe estuary","docAbstract":"Due to its range expansion and potential ecological effects, Corbicula fluminea is considered one of the most important non-indigenous species (NIS) in aquatic ecosystems. Its presence since 2003 in the upstream area of Mondego estuary (oligohaline and mesohaline sectors) was studied during thirteen months, from December 2007 to December 2008. Monthly mean abundance and biomass ranged from 542 to 11142 individuals m<sup>-2</sup> and 13.1&ndash;20.4 g Ash Free Dry Weight m<sup>-2</sup>, respectively. Populations of C.fluminea were composed mostly of juveniles, always present in extremely high densities compared to other estuarine ecosystems (e.g. Minho estuary) suggesting a continuous recruitment pattern. The hydraulic regime of the River Mondego favours the downstream colonization of the upper Mondego estuary by recruits produced upstream. However, salinity in these sectors of the estuary apparently neither favours growth nor the establishment of structured populations of this species. Other factors like contaminants and predation, which were not studied, could also contribute to the community structure observed.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2011.07.014","usgsCitation":"Franco, J., Ceia, F., Patricio, J., Thompson, J.K., Marques, J., and Neto, J., 2012, Population dynamics of <i>Corbicula fluminea</i> (M&#252;ller, 1774) in mesohaline and oligohaline habitats: Invasion success in a Southern Europe estuary: Estuarine, Coastal and Shelf Science, v. 112, p. 31-39, https://doi.org/10.1016/j.ecss.2011.07.014.","productDescription":"9 p.","startPage":"31","endPage":"39","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":488094,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/3417440","text":"External Repository"},{"id":259264,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -30.322265625000004,\n              37.996162679728116\n            ],\n            [\n              -7.207031249999999,\n              37.996162679728116\n            ],\n            [\n              -7.207031249999999,\n              49.83798245308484\n            ],\n            [\n              -30.322265625000004,\n              49.83798245308484\n            ],\n            [\n              -30.322265625000004,\n              37.996162679728116\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7d43e4b0c8380cd79e47","contributors":{"authors":[{"text":"Franco, J.N.","contributorId":58525,"corporation":false,"usgs":true,"family":"Franco","given":"J.N.","email":"","affiliations":[],"preferred":false,"id":351779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ceia, F.R.","contributorId":55289,"corporation":false,"usgs":true,"family":"Ceia","given":"F.R.","email":"","affiliations":[],"preferred":false,"id":351778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patricio, J.","contributorId":40865,"corporation":false,"usgs":true,"family":"Patricio","given":"J.","email":"","affiliations":[],"preferred":false,"id":351776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":779376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marques, J.C.","contributorId":53246,"corporation":false,"usgs":true,"family":"Marques","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":351777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neto, J.M.","contributorId":25043,"corporation":false,"usgs":true,"family":"Neto","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":351774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70043302,"text":"70043302 - 2012 - Future opportunities and challenges in remote sensing of drought","interactions":[],"lastModifiedDate":"2022-04-01T22:49:50.479918","indexId":"70043302","displayToPublicDate":"2012-01-01T13:20:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Future opportunities and challenges in remote sensing of drought","docAbstract":"The value of satellite remote sensing for drought monitoring was first realized more than two decades ago with the application of Normalized Difference Index (NDVI) data from the Advanced Very High Resolution Radiometer (AVHRR) for assessing the effect of drought on vegetation. Other indices such as the Vegetation Health Index (VHI) were also developed during this time period, and applied to AVHRR NDVI and brightness temperature data for routine global monitoring of drought conditions. These early efforts demonstrated the unique perspective that global imagers such as AVHRR could provide for operational drought monitoring through their near-daily, global observations of Earth's land surface. However, the advancement of satellite remote sensing of drought was limited by the relatively few spectral bands of operational global sensors such as AVHRR, along with a relatively short period of observational record. Remote sensing advancements are of paramount importance given the increasing demand for tools that can provide accurate, timely, and integrated information on drought conditions to facilitate proactive decision making (NIDIS, 2007). Satellite-based approaches are key to addressing significant gaps in the spatial and temporal coverage of current surface station instrument networks providing key moisture observations (e.g., rainfall, snow, soil moisture, ground water, and ET) over the United States and globally (NIDIS, 2007). Improved monitoring capabilities will be particularly important given increases in spatial extent, intensity, and duration of drought events observed in some regions of the world, as reported in the International Panel on Climate Change (IPCC) report (IPCC, 2007). The risk of drought is anticipated to further increase in some regions in response to climatic changes in the hydrologic cycle related to evaporation, precipitation, air temperature, and snow cover (Burke et al., 2006; IPCC, 2007; USGCRP, 2009). Numerous national, regional, and global efforts such as the Famine and Early Warning System (FEWS), National Integrated Drought Information System (NIDIS), and Group on Earth Observations (GEO), as well as the establishment of regional drought centers (e.g., European Drought Observatory) and geospatial visualization and monitoring systems (e.g, NASA SERVIR) have been undertaken to improve drought monitoring and early warning systems throughout the world. The suite of innovative remote sensing tools that have recently emerged will be looked upon to fill important data and knowledge gaps (NIDIS, 2007; NRC, 2007) to address a wide range of drought-related issues including food security, water scarcity, and human health.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing of drought: innovative monitoring approaches","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","doi":"10.1201/b11863-23","usgsCitation":"Wardlow, B.D., Anderson, M.C., Sheffield, J., Doorn, B., Verdin, J., Zhan, X., and Rodell, M., 2012, Future opportunities and challenges in remote sensing of drought, chap. <i>of</i> Remote sensing of drought: innovative monitoring approaches, p. 389-410, https://doi.org/10.1201/b11863-23.","productDescription":"22 p.","startPage":"389","endPage":"410","ipdsId":"IP-031383","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474601,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20120003712","text":"External Repository"},{"id":276693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"520f49e1e4b0fc50304bc4b4","contributors":{"editors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":509193,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":509194,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":509192,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":473339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Martha C.","contributorId":96579,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","email":"","middleInitial":"C.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":473341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheffield, Justin","contributorId":69462,"corporation":false,"usgs":true,"family":"Sheffield","given":"Justin","affiliations":[],"preferred":false,"id":473337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doorn, Brad","contributorId":74288,"corporation":false,"usgs":true,"family":"Doorn","given":"Brad","email":"","affiliations":[],"preferred":false,"id":473338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":839357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhan, Xiwu","contributorId":41323,"corporation":false,"usgs":true,"family":"Zhan","given":"Xiwu","email":"","affiliations":[],"preferred":false,"id":473336,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rodell, Matt","contributorId":93806,"corporation":false,"usgs":true,"family":"Rodell","given":"Matt","email":"","affiliations":[],"preferred":false,"id":473340,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70104797,"text":"70104797 - 2012 - Post-wildfire wind erosion in and around the Idaho National Laboratory Site","interactions":[],"lastModifiedDate":"2014-05-27T13:18:54","indexId":"70104797","displayToPublicDate":"2012-01-01T13:12:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Post-wildfire wind erosion in and around the Idaho National Laboratory Site","docAbstract":"Wind erosion following large wildfires on and around the INL Site is a recurrent threat to human health and safety, DOE operations and trafficability, and ecological and hydrological condition of the INL Site and down-wind landscapes. Causes and consequences of wind erosion are mainly known from warm deserts (e.g., Southwest U.S.), dunefields, and croplands, and some but not all findings are transferable to the cold desert environments such as where the INL Site lies.","language":"English","publisher":"Environmental Surveillance, Education, and Research Program","publisherLocation":"Idaho Falls, ID","usgsCitation":"Germino, M., 2012, Post-wildfire wind erosion in and around the Idaho National Laboratory Site, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-053872","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":287605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287259,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsseser.com/LandManagement/postfireerosion2012.html"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.135529,43.424288 ], [ -113.135529,43.887645 ], [ -112.601072,43.887645 ], [ -112.601072,43.424288 ], [ -113.135529,43.424288 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3fce4b09e18fc023a83","contributors":{"authors":[{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":493797,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70154847,"text":"70154847 - 2012 - Endangered river fish: factors hindering conservation and restoration","interactions":[],"lastModifiedDate":"2015-07-10T10:55:21","indexId":"70154847","displayToPublicDate":"2012-01-01T12:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Endangered river fish: factors hindering conservation and restoration","docAbstract":"<p>Globally, riverine fish face many anthropogenic threats including riparian and flood plain habitat degradation, altered hydrology, migration barriers, fisheries exploitation, environmental (climate) change, and introduction of invasive species. Collectively, these threats have made riverine fishes some of the most threatened taxa on the planet. Although much effort has been devoted to identifying the threats faced by river fish, there has been less effort devoted to identifying the factors that may hinder our ability to conserve and restore river fish populations and their watersheds. Therefore, we focus our efforts on identifying and discussing 10 general factors (can also be viewed as research and implementation needs) that constrain or hinder effective conservation action for endangered river fish: (1) limited basic natural history information; (2) limited appreciation for the scale/extent of migrations and the level of connectivity needed to sustain populations; (3) limited understanding of fish/river-flow relationships; (4) limited understanding of the seasonal aspects of river fish biology, particularly during winter and/or wet seasons; (5) challenges in predicting the response of river fish and river ecosystems to both environmental change and various restoration or management actions; (6) limited understanding of the ecosystem services provided by river fish; (7) the inherent difficulty in studying river fish; (8) limited understanding of the human dimension of river fish conservation and management; (9) limitations of single species approaches that often fail to address the broader-scale problems; and (10) limited effectiveness of governance structures that address endangered river fish populations and rivers that cross multiple jurisdictions. We suggest that these issues may need to be addressed to help protect, restore, or conserve river fish globally, particularly those that are endangered.</p>","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf, Germany","doi":"10.3354/esr00426","usgsCitation":"Cooke, S., Paukert, C.P., and Hogan, Z., 2012, Endangered river fish: factors hindering conservation and restoration: Endangered Species Research, v. 17, no. 2, p. 179-191, https://doi.org/10.3354/esr00426.","productDescription":"13 p.","startPage":"179","endPage":"191","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033972","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":474610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00426","text":"Publisher Index Page"},{"id":305650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55a0ecb1e4b0183d66e43036","contributors":{"authors":[{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":564595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Zeb","contributorId":145553,"corporation":false,"usgs":false,"family":"Hogan","given":"Zeb","email":"","affiliations":[],"preferred":false,"id":564596,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202998,"text":"70202998 - 2012 - Introduction to phytoremediation of contaminated groundwater","interactions":[],"lastModifiedDate":"2022-05-03T16:57:28.904741","indexId":"70202998","displayToPublicDate":"2012-01-01T11:16:11","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Introduction to phytoremediation of contaminated groundwater","docAbstract":"<div class=\"springer-html\"><p>This book provides the reader with the comprehensive view necessary to understand and critically evaluate the design, implementation, and monitoring of phytoremediation at sites characterized by contaminated groundwater. Part I presents the historical foundation of the interaction between plants and groundwater, introduces fundamental groundwater concepts for plant physiologists, and introduces basic plant physiology for hydrogeologists. Part II presents information on how to assess, design, implement, and monitor phytoremediation projects for hydrologic control. Part III presents how plants take up and detoxify a wide range of organic xenobiotics in contaminated groundwater systems, and provides various approaches on how this can be assessed and monitored. Throughout, concepts are emphasized with numerous case studies, illustrations and pertinent literature citations.</p></div>","language":"English","publisher":"Springer","isbn":"9789400719576","usgsCitation":"Landmeyer, J.E., 2012, Introduction to phytoremediation of contaminated groundwater, 377 p.","productDescription":"377 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":362885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362884,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9789400719569"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":216137,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760731,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70118267,"text":"70118267 - 2012 - The effects of permafrost thaw on soil hydrologic, thermal, and carbon dynamics in an Alaskan peatland","interactions":[],"lastModifiedDate":"2017-10-31T16:39:27","indexId":"70118267","displayToPublicDate":"2012-01-01T10:38:23","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"The effects of permafrost thaw on soil hydrologic, thermal, and carbon dynamics in an Alaskan peatland","docAbstract":"Recent warming at high-latitudes has accelerated permafrost thaw in northern peatlands, and thaw can have profound effects on local hydrology and ecosystem carbon balance. To assess the impact of permafrost thaw on soil organic carbon (OC) dynamics, we measured soil hydrologic and thermal dynamics and soil OC stocks across a collapse-scar bog chronosequence in interior Alaska. We observed dramatic changes in the distribution of soil water associated with thawing of ice-rich frozen peat. The impoundment of warm water in collapse-scar bogs initiated talik formation and the lateral expansion of bogs over time. On average, Permafrost Plateaus stored 137 ± 37 kg C m<sup>-2</sup>, whereas OC storage in Young Bogs and Old Bogs averaged 84 ± 13 kg C m<sup>-2</sup>. Based on our reconstructions, the accumulation of OC in near-surface bog peat continued for nearly 1,000 years following permafrost thaw, at which point accumulation rates slowed. Rapid decomposition of thawed forest peat reduced deep OC stocks by nearly half during the first 100 years following thaw. Using a simple mass-balance model, we show that accumulation rates at the bog surface were not sufficient to balance deep OC losses, resulting in a net loss of OC from the entire peat column. An uncertainty analysis also revealed that the magnitude and timing of soil OC loss from thawed forest peat depends substantially on variation in OC input rates to bog peat and variation in decay constants for shallow and deep OC stocks. These findings suggest that permafrost thaw and the subsequent release of OC from thawed peat will likely reduce the strength of northern permafrost-affected peatlands as a carbon dioxide sink, and consequently, will likely accelerate rates of atmospheric warming.","language":"English","publisher":"Springer","publisherLocation":"New York, NY","doi":"10.1007/s10021-011-9504-0","usgsCitation":"O’Donnell, J.A., Jorgenson, M., Harden, J.W., McGuire, A., Kanevskiy, M.Z., and Wickland, K.P., 2012, The effects of permafrost thaw on soil hydrologic, thermal, and carbon dynamics in an Alaskan peatland: Ecosystems, v. 15, no. 2, p. 213-229, https://doi.org/10.1007/s10021-011-9504-0.","productDescription":"17 p.","startPage":"213","endPage":"229","numberOfPages":"17","ipdsId":"IP-027728","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":291123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291122,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10021-011-9504-0"}],"country":"United States","state":"Alaska","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-11-17","publicationStatus":"PW","scienceBaseUri":"57f7f556e4b0bc0bec0a15b7","contributors":{"authors":[{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jorgenson, M. 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David","affiliations":[],"preferred":false,"id":496652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanevskiy, Mikhail Z.","contributorId":199153,"corporation":false,"usgs":false,"family":"Kanevskiy","given":"Mikhail","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":496654,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wickland, Kimberly P. 0000-0002-6400-0590 kpwick@usgs.gov","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":1835,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","email":"kpwick@usgs.gov","middleInitial":"P.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":496651,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046096,"text":"70046096 - 2012 - The science, information, and engineering needed to manage water availability and quality in 2050","interactions":[],"lastModifiedDate":"2022-12-27T17:14:35.840593","indexId":"70046096","displayToPublicDate":"2012-01-01T09:54:29","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"23","title":"The science, information, and engineering needed to manage water availability and quality in 2050","docAbstract":"This chapter explores four water resources issues: 1) hydrologic variability, hazards, water supply and ecosystem preservation; 2) urban landscape design; 3) non-point source water quality, and 4) climate change, resiliency, and nonstationarity.  It also considers what science, technology, and engineering practice may be needed in the coming decades to sustain water supplies and ecosystems in the face of increasing stresses from a growing demand for water.  Dealing with these four water resource issues in the highly uncertain future would will demand predictive models that are rooted in real-world data.  In a non-stationary world, continuity of observations is crucial.  All watersheds are influenced by human actions through changes in land use, water use, and climate.  The focus of water planning and management between today and 2050 will depend more than ever on collection and analysis of long-term data to learn about the evolving state of the system, understanding ecosystem processes in the water and on the landscape, and finding innovative ways to manage water as a shared resource.  This includes sharing water with our neighbors on the landscape, sharing with the other species that depend on water, and sharing with future generations.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Toward a sustainable water future: Visions for 2050","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412077.ch23","usgsCitation":"Hirsch, R.M., 2012, The science, information, and engineering needed to manage water availability and quality in 2050, chap. 23 <i>of</i> Toward a sustainable water future: Visions for 2050, p. 215-225, https://doi.org/10.1061/9780784412077.ch23.","productDescription":"11 p.","startPage":"215","endPage":"225","ipdsId":"IP-017761","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":276736,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2013-05-10","publicationStatus":"PW","scienceBaseUri":"52136e3ae4b0b08f4461993d","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":478895,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70032570,"text":"70032570 - 2012 - Hydrological effects of the increased CO<sub>2</sub> and climate change in the Upper Mississippi River Basin using a modified SWAT","interactions":[],"lastModifiedDate":"2013-06-04T13:52:54","indexId":"70032570","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological effects of the increased CO<sub>2</sub> and climate change in the Upper Mississippi River Basin using a modified SWAT","docAbstract":"Increased atmospheric CO<sub>2</sub> concentration and climate change may significantly impact the hydrological and meteorological processes of a watershed system. Quantifying and understanding hydrological responses to elevated ambient CO<sub>2</sub> and climate change is, therefore, critical for formulating adaptive strategies for an appropriate management of water resources. In this study, the Soil and Water Assessment Tool (SWAT) model was applied to assess the effects of increased CO<sub>2</sub> concentration and climate change in the Upper Mississippi River Basin (UMRB). The standard SWAT model was modified to represent more mechanistic vegetation type specific responses of stomatal conductance reduction and leaf area increase to elevated CO<sub>2</sub> based on physiological studies. For estimating the historical impacts of increased CO<sub>2</sub> in the recent past decades, the incremental (i.e., dynamic) rises of CO<sub>2</sub> concentration at a monthly time-scale were also introduced into the model. Our study results indicated that about 1–4% of the streamflow in the UMRB during 1986 through 2008 could be attributed to the elevated CO<sub>2</sub> concentration. In addition to evaluating a range of future climate sensitivity scenarios, the climate projections by four General Circulation Models (GCMs) under different greenhouse gas emission scenarios were used to predict the hydrological effects in the late twenty-first century (2071–2100). Our simulations demonstrated that the water yield would increase in spring and substantially decrease in summer, while soil moisture would rise in spring and decline in summer. Such an uneven distribution of water with higher variability compared to the baseline level (1961–1990) may cause an increased risk of both flooding and drought events in the basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Climatic Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10584-011-0087-8","issn":"01650009","usgsCitation":"Wu, Y., Liu, S., and Abdul-Aziz, O., 2012, Hydrological effects of the increased CO<sub>2</sub> and climate change in the Upper Mississippi River Basin using a modified SWAT: Climatic Change, v. 110, no. 3-4, p. 977-1003, https://doi.org/10.1007/s10584-011-0087-8.","productDescription":"27 p.","startPage":"977","endPage":"1003","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":241687,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214003,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10584-011-0087-8"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0577,28.9254 ], [ -104.0577,49.38 ], [ -80.5182,49.38 ], [ -80.5182,28.9254 ], [ -104.0577,28.9254 ] ] ] } } ] }","volume":"110","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2011-05-10","publicationStatus":"PW","scienceBaseUri":"505a36ace4b0c8380cd608e2","contributors":{"authors":[{"text":"Wu, Y.","contributorId":79312,"corporation":false,"usgs":true,"family":"Wu","given":"Y.","email":"","affiliations":[],"preferred":false,"id":436861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, S.","contributorId":93170,"corporation":false,"usgs":true,"family":"Liu","given":"S.","affiliations":[],"preferred":false,"id":436863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abdul-Aziz, O. I.","contributorId":91700,"corporation":false,"usgs":true,"family":"Abdul-Aziz","given":"O. I.","affiliations":[],"preferred":false,"id":436862,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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