Ecological science has contributed greatly to our understanding of the natural world and the impact of humans on that world. Now, we need to refocus the discipline towards research that ensures a future in which natural systems and the humans they include coexist on a more sustainable planet. Acknowledging that managed ecosystems and intensive exploitation of resources define our future, ecologists must play a greatly expanded role in communicating their research and influencing policy and decisions that affect the environment. To accomplish this, they will have to forge partnerships at scales and in forms they have not traditionally used. These alliances must act within three visionary areas: enhancing the extent to which decisions are ecologically informed; advancing innovative ecological research directed at the sustainability of the planet; and stimulating cultural changes within the science itself, thereby building a forward-looking and international ecology. We recommend: (1) a research initiative to enhance research project development, facilitate large-scale experiments and data collection, and link science to solutions; (2) procedures that will improve interactions among researchers, managers, and decision makers; and (3) efforts to build public understanding of the links between ecosystem services and humans.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/1540-9295(2005)003[0004:ESASFT]2.0.CO;2","usgsCitation":"Palmer, M., Bernhardt, E., Chornesky, E., Collins, S., Dobson, A.P., Duke, C.S., Gold, B., Jacobson, R.B., Kingsland, S.E., Kranz, R.H., Mappin, M.J., Martinez, M.L., Micheli, F., Morse, J.L., Pace, M., Pascual, M., Palumbi, S.S., Reichman, O.J., Townsend, A.R., and Turner, M.G., 2005, Ecological science and sustainability for the 21st century: Frontiers in Ecology and the Environment, v. 3, no. 1, p. 4-11, https://doi.org/10.1890/1540-9295(2005)003[0004:ESASFT]2.0.CO;2.","productDescription":"8 p.","startPage":"4","endPage":"11","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488653,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/116330","text":"External Repository"},{"id":342599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5944ee18e4b062508e33361b","contributors":{"authors":[{"text":"Palmer, Margaret A.","contributorId":102429,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret A.","affiliations":[{"id":13383,"text":"University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, 6 Solomons, Maryland 20688","active":true,"usgs":false}],"preferred":false,"id":698472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":698473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chornesky, Elizabeth A.","contributorId":193015,"corporation":false,"usgs":false,"family":"Chornesky","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":698474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Scott L.","contributorId":71307,"corporation":false,"usgs":false,"family":"Collins","given":"Scott L.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":698475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dobson, Andrew P.","contributorId":63693,"corporation":false,"usgs":true,"family":"Dobson","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":698476,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duke, Clifford S.","contributorId":189054,"corporation":false,"usgs":false,"family":"Duke","given":"Clifford","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":698477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gold, Barry","contributorId":193016,"corporation":false,"usgs":false,"family":"Gold","given":"Barry","email":"","affiliations":[],"preferred":false,"id":698478,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":698479,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kingsland, Sharon E.","contributorId":193017,"corporation":false,"usgs":false,"family":"Kingsland","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":698480,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kranz, Rhonda H.","contributorId":193018,"corporation":false,"usgs":false,"family":"Kranz","given":"Rhonda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":698481,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mappin, Michael J.","contributorId":193019,"corporation":false,"usgs":false,"family":"Mappin","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":698482,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Martinez, M. 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J.","contributorId":172918,"corporation":false,"usgs":false,"family":"Reichman","given":"O.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":698489,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Townsend, Alan R.","contributorId":62868,"corporation":false,"usgs":true,"family":"Townsend","given":"Alan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":698494,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Turner, Monica G.","contributorId":179345,"corporation":false,"usgs":false,"family":"Turner","given":"Monica","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":698495,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70826,"text":"sir20055094 - 2005 - Summary of significant results from studies of triazine herbicides and their degradation products in surface water, ground water, and precipitation in the midwestern United States during the 1990s","interactions":[],"lastModifiedDate":"2020-01-26T17:21:11","indexId":"sir20055094","displayToPublicDate":"2005-07-11T00:00:00","publicationYear":"2005","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":"2005-5094","title":"Summary of significant results from studies of triazine herbicides and their degradation products in surface water, ground water, and precipitation in the midwestern United States during the 1990s","docAbstract":"Nonpoint-source contamination of water resources from triazine herbicides has been a major water-quality issue during the 1990s in the United States. To address this issue, studies of surface water, ground water, and precipitation have been carried out by the U.S. Geological Survey in the Midwestern United States.
\nReconnaissance studies of 147 streams were conducted to determine the geographic and seasonal distribution of atrazine, cyanazine, propazine, and simazine. These studies showed that high concentrations of herbicides were flushed from cropland and transported through the stream system as pulses in response to spring and summer rainfall. The studies also revealed the persistence of herbicides and their degradation products in streams.
\nAn investigation of 76 reservoirs showed that the occurrence and temporal distribution of herbicides and their degradation products in reservoir outflow could be related to reservoir and drainage-basin characteristics, water and land use, herbicide use, and climate. Significant findings showed that concentrations of atrazine and its degradation products remained elevated all summer and into the fall and that recently applied atrazine mixed with atrazine applied the previous year as water moved through a reservoir.
\nReconnaissance studies of 303 ground-water wells were completed to determine hydrogeological and seasonal occurrence, concentration, and distribution of herbicides and their degradation products. Samples collected from across the Midwestern United States consistently revealed that triazine herbicide degradation products commonly were found more frequently than their parent herbicide and that ground-water age could be an important factor in explaining variations in herbicide contamination.
\nA final study investigated precipitation in the Midwestern United States, northeast to the Atlantic Ocean, and northward to the Canadian border. It found that the highest herbicide concentrations in precipitation occurred following herbicide application to cropland. Atrazine was detected most often, followed by deethylatrazine, cyanazine, and deisoproplyatrazine. Mass deposition of herbicides by precipitation was greatest in areas where herbicide use was intense and decreased with distance from the Midwest.
\nFindings of the 1990s studies include an improved understanding of the occurrence, persistence, chemistry, and transport of triazine herbicides and their degradation products in the hydrologic environment. A significant increase in knowledge of triazine herbicides and development and improvement of analytical methods were accomplished in the past decade. The results produced are not only significant for the present (2005) but provide an important data set for future use.
\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055094","usgsCitation":"Scribner, E.A., Thurman, E., Goolsby, D.A., Meyer, M.T., Battaglin, W.A., and Kolpin, D.W., 2005, Summary of significant results from studies of triazine herbicides and their degradation products in surface water, ground water, and precipitation in the midwestern United States during the 1990s: U.S. Geological Survey Scientific Investigations Report 2005-5094, iv, 28 p., https://doi.org/10.3133/sir20055094.","productDescription":"iv, 28 p.","numberOfPages":"33","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":192801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6570,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5094/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Midwest region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.0185546875,\n 49.009050809382046\n ],\n [\n -104.150390625,\n 41.475660200278234\n ],\n [\n -105.1171875,\n 41.0130657870063\n ],\n [\n -105.77636718749999,\n 39.53793974517628\n ],\n [\n -104.23828125,\n 38.8225909761771\n ],\n [\n -102.041015625,\n 38.95940879245423\n ],\n [\n -102.041015625,\n 37.16031654673677\n ],\n [\n -94.7021484375,\n 36.98500309285596\n ],\n [\n -94.658203125,\n 36.491973470593685\n ],\n [\n -90.04394531249999,\n 36.421282443649496\n ],\n [\n -90.3955078125,\n 35.92464453144099\n ],\n [\n -89.6044921875,\n 35.92464453144099\n ],\n [\n -89.07714843749999,\n 36.77409249464195\n ],\n [\n -89.12109375,\n 37.020098201368114\n ],\n [\n -88.857421875,\n 37.16031654673677\n ],\n [\n -88.11035156249999,\n 37.16031654673677\n ],\n [\n -87.978515625,\n 37.68382032669382\n ],\n [\n -87.4072265625,\n 37.82280243352756\n ],\n [\n -86.7041015625,\n 37.85750715625203\n ],\n [\n -86.0009765625,\n 37.92686760148135\n ],\n [\n -85.4296875,\n 38.238180119798635\n ],\n [\n -84.90234375,\n 38.65119833229951\n ],\n [\n -84.638671875,\n 39.027718840211605\n ],\n [\n -83.232421875,\n 38.71980474264239\n ],\n [\n -82.5732421875,\n 38.47939467327645\n ],\n [\n -81.5625,\n 38.47939467327645\n ],\n [\n -81.0791015625,\n 38.89103282648846\n ],\n [\n -80.595703125,\n 39.57182223734374\n ],\n [\n -80.5517578125,\n 40.212440718286466\n ],\n [\n -80.5078125,\n 41.86956082699455\n ],\n [\n -81.6943359375,\n 41.541477666790286\n ],\n [\n -82.44140625,\n 41.343824581185686\n ],\n [\n -83.3642578125,\n 41.705728515237524\n ],\n [\n -84.7705078125,\n 41.705728515237524\n ],\n [\n -86.572265625,\n 41.73852846935917\n ],\n [\n -87.3193359375,\n 41.64007838467894\n ],\n [\n -87.71484375,\n 42.09822241118974\n ],\n [\n -87.7587890625,\n 42.779275360241904\n ],\n [\n -87.7587890625,\n 43.32517767999296\n ],\n [\n -87.4951171875,\n 44.15068115978091\n ],\n [\n -86.7041015625,\n 45.521743896993634\n ],\n [\n -87.9345703125,\n 44.62175409623324\n ],\n [\n -87.4072265625,\n 45.36758436884978\n ],\n [\n -88.0224609375,\n 45.89000815866184\n ],\n [\n -89.20898437499999,\n 46.164614496897094\n ],\n [\n -89.8681640625,\n 46.34692761055676\n ],\n [\n -90.615234375,\n 46.58906908309182\n ],\n [\n -90.439453125,\n 46.98025235521883\n ],\n [\n -92.10937499999999,\n 46.6795944656402\n ],\n [\n -91.0546875,\n 47.2195681123155\n ],\n [\n -90.7470703125,\n 47.517200697839414\n ],\n [\n -90,\n 47.81315451752768\n ],\n [\n -89.6484375,\n 47.96050238891509\n ],\n [\n -90.4833984375,\n 48.04870994288686\n ],\n [\n -90.87890625,\n 48.25394114463431\n ],\n [\n -91.5380859375,\n 48.07807894349862\n ],\n [\n -92.021484375,\n 48.28319289548349\n ],\n [\n -92.63671875,\n 48.545705491847464\n ],\n [\n -93.2958984375,\n 48.545705491847464\n ],\n [\n -94.1748046875,\n 48.60385760823255\n ],\n [\n -94.6142578125,\n 48.66194284607008\n ],\n [\n -94.833984375,\n 49.38237278700955\n ],\n [\n -95.44921875,\n 49.410973199695846\n ],\n [\n -95.2294921875,\n 49.009050809382046\n ],\n [\n -104.0185546875,\n 49.009050809382046\n ]\n ]\n ]\n }\n }\n ]\n}","tableOfContents":"
Abstract
Introduction
Triazine Herbicide Usage
Water-Quality Studies
Surface Water
Ground Water
Precipitation
Chemistry and Transport of Triazine Herbicides in Water
Persistence
Summary
References Cited
Seven unsaturated-zone solute-transport models were tested with two data sets to select models for use by the Agricultural Chemical Team of the U.S. Geological Survey's National Water-Quality Assessment Program. The data sets were from a bromide tracer test near Merced, California, and an atrazine study in the White River Basin, Indiana. In this study the models are designated either as complex or simple based on the water flux algorithm. The complex models, HYDRUS2D, LEACHP, RZWQM, and VS2DT, use Richards' equation to simulate water flux and are well suited to process understanding. The simple models, CALF, GLEAMS, and PRZM, use a tipping-bucket algorithm and are more amenable to extrapolation because they require fewer input parameters. The purpose of this report is not to endorse a particular model, but to describe useful features, potential capabilities, and possible limitations that emerged from working with the model input data sets. More rigorous assessment of model applicability involves proper calibration, which was beyond the scope of this study.
\nUncalibrated (\"cold\") simulations were run using all seven models to predict the transport of bromide (Merced) and the transport and fate of atrazine and three of its transformation products (White River Basin). Among the complex models, HYDRUS2D successfully predicted both the surface retention and accumulation of bromide at depth at the Merced site, whereas RZWQM and VS2DT predicted only the latter. RZWQM predictions of atrazine were closest to observed values at the White River Basin site, where preferential flow has been observed. LEACHP predicted smaller solute concentrations than observed at both the Merced and White River Basin sites. Among the simple models, CALF predicted the highest values of atrazine and deethylatrazine at the measurement depth of 1.5 meters. CALF includes the Addiscott flow option for preferential flow, and also accepts user-specified dispersivity. PRZM underpredicted solute concentrations, probably because control of dispersion is a problem with this model. GLEAMS has a maximum simulation depth of 1.5 meters, which is limiting for mass-balance purposes because it creates a potential disconnect between unsaturated-zone transport and the water table.
\nOf the models tested, RZWQM, HYDRUS2D, VS2DT, GLEAMS and PRZM had graphical user interfaces. Extensive documentation was available for RZWQM, HYDRUS2D, and VS2DT. RZWQM can explicitly simulate water and solute flux in macropores, and both HYDRUS2D and VS2DT can simulate water and solute flux in two dimensions. The version of RZWQM tested had a maximum simulation depth of 3 meters. The complex models simulate the formation, transport, and fate of degradates of up to three to five compounds including the parent, with the exception of VS2DT, which simulates the transport and fate of a single compound.
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Channel cross sections, channel profiles, sediment deposition behind dams, and hillslope-erosion plots, originally benchmarked within several watersheds outside Santa Fe, New Mexico, in the 1950’s and 1960’s, for a 1966 report that documented processes and rates of arid-region sediment production and deposition, were resurveyed in the mid-1990’s. Many of the original study sites were relocated and surveyed in the mid-1990’s to determine subsequent channel and hillslope changes and to determine whether trends of channel and hillslope aggradation and degradation that were evident in the 1950’s and 1960’s have continued. In general, the net change in channel geometry has been small over the last 30–40 years. The average change in cross-sectional area of 32 resurveyed cross sections was erosion of 0.27 square meter, which equates to a 4-percent increase in cross-sectional area. The average net change in thalweg elevation for 51 resurveyed cross sections was degradation of 0.04 meter. Unpublished data (1964–68) from the scour chains showed that 371 chains had an average scour of 0.14 ± 0.14 meter and that 372 chains showed an average fill of 0.13 + 0.11 meter. Scour, found in the original study (1958–64) to be proportional to the square root of discharge, was confirmed with the addition of unpublished data (1964–68). The observed channel changes have no consistent trend, compared either to results observed in the original 1966 study or to distance from the watershed divide. The conclusion drawn in the original study was that most channels were aggrading; the resurvey showed that aggradation did not continue.
An increase in housing and population in the Arroyo de los Frijoles watershed since the 1950’s has led to more roads. Channel degradation is most noticeable at road crossings. The greatest degradation of the main channel Arroyo de los Frijoles, 1.53 meters, and the greatest aggradation, 0.38 meter, occur downstream and upstream, respectively, from a culvert in a dirt road.
Periods of high average annual rainfall intensity reported for Santa Fe for 1853–80 immediately preceded late 19th century arroyo incision, and another period of high-intensity rainfall began in 1967. This may indicate that climatic factors are again favorable for arroyo incision in this part of New Mexico; data from this resurvey, however, do not provide evidence of a renewed cycle of erosion.
At a 1930’s Civilian Conservation Corps-constructed dam on Coyote C. Arroyo, the measured sediment yield from 1966 to 1993 was 139 metric tonnes per square kilometer per year. Sediment yields have decreased through time because of either a decrease in the trap efficiency of the reservoir over time or a decrease in sediment delivery to the reservoir because of upstream channel storage. The effects of base-level rise on the channel profile were documented in 1993 through resurveys of sediment deposits behind two small dams, Big Sweat Dam and Little Sweat Dam. Both dams, built in 1960, showed sediment deposition that extends 20 and 9.3 meters upstream, respectively, and the 1993 sediment gradient was nearly the same as the unaffected channel upstream. Big Sweat Dam showed fluctuations in channel gradient within 5.3 meters of the dam, which may be a result of local scour following complete filling of the dam, scour from increased sinuosity, or differences in the location of surveying stations over time. The sinuosity of the channel has increased over time, presumably from a reduction in slope. Channel gradients 0 to 11.0 meters upstream from Little Sweat Dam have remained constant at about 0.028 from 1964 to 1993.
Measurement of erosion or hillslope-erosion plots show that average values of surface erosion range from 0.019 to 0.096 centimeters per year and are within values reported for regional erosion and denudation studies. Sediment yield from the Slopewash Tributary erosion plot was 307 metric tonnes per square kilometer per year.
The reproducibility and accuracy of the resurveys from the 1950’s to the 1990’s attest to the concepts used to quantify geomorphic features established in the Vigil Network. With relatively simple techniques, more than 30 years of geomorphic change were observed in this study.
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Interpretation of ground-water geochemistry in catchments other than the Straight Creek catchment, Red River Valley, Taos County, New Mexico, 2002-2003","interactions":[],"lastModifiedDate":"2023-04-18T19:06:18.48466","indexId":"sir20055050","displayToPublicDate":"2005-07-07T00:00:00","publicationYear":"2005","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":"2005-5050","title":"Questa baseline and pre-mining ground-water quality investigation. 14. Interpretation of ground-water geochemistry in catchments other than the Straight Creek catchment, Red River Valley, Taos County, New Mexico, 2002-2003","docAbstract":"The U.S. Geological Survey, in cooperation with the New Mexico Environment Department, is investigating the pre-mining ground-water chemistry at the Molycorp molybdenum mine in the Red River Valley, New Mexico. The primary approach is to determine the processes controlling ground-water chemistry at an unmined, off-site but proximal analog. The Straight Creek catchment, chosen for this purpose, consists of the same Tertiary-age quartz-sericite-pyrite altered andesite and rhyolitic volcanics as the mine site. Straight Creek is about 5 kilometers east of the eastern boundary of the mine site. Both Straight Creek and the mine site are at approximately the same altitude, face south, and have the same climatic conditions.
Thirteen wells in the proximal analog drainage catchment were sampled for ground-water chemistry. Eleven wells were installed for this study and two existing wells at the Advanced Waste-Water Treatment (AWWT) facility were included in this study. Eight wells were sampled outside the Straight Creek catchment: one each in the Hansen, Hottentot, and La Bobita debris fans, four in a well cluster in upper Capulin Canyon (three in alluvial deposits and one in bedrock), and an existing well at the U.S. Forest Service Questa Ranger Station in Red River alluvial deposits. Two surface waters from the Hansen Creek catchment and two from the Hottentot drainage catchment also were sampled for comparison to ground-water compositions. In this report, these samples are evaluated to determine if the geochemical interpretations from the Straight Creek ground-water geochemistry could be extended to other ground waters in the Red River Valley , including the mine site.
Total-recoverable major cations and trace metals and dissolved major cations, selected trace metals, anions, alkalinity; and iron-redox species were determined for all surface- and ground-water samples. Rare-earth elements and low-level As, Bi, Mo, Rb, Re, Sb, Se, Te, Th, U, Tl, V, W, Y, and Zr were determined on selected samples. Dissolved organic carbon (DOC), mercury, sulfate stable isotope composition (δ34S and δ18O of sulfate), stable isotope composition of water (δ2H and δ18O of water) were measured for selected samples. Chlorofluorocarbons (CFC) and 3He and 3H were measured for age dating on selected samples.
Linear regressions from the Straight Creek ground-water data were used to compare ground-water chemistry trends in non-Straight Creek ground waters with Straight Creek alluvial ground-water chemistry dilution trends. Most of the solute trends for the ground waters are similar to those for Straight Creek but there are some notable exceptions. In lithologies that contain substantial pyrite mineralization, acid waters form with similar chemistries to those in Straight Creek and all the waters tend to be calcium-sulfate type. Hottentot ground waters contain substantially lower calcium concentrations relative to those in Straight Creek. This anomaly results from the exposure of rhyolite porphyry in the Hottentot scar and weathering zone. The rhyolite contains less calcium than the altered andesites and tuffs in the Straight Creek catchment and probably does not have the abundant gypsum and calcite. The Hansen ground waters have reached gypsum saturation and have similar calcium, magnesium, and beryllium concentrations as Straight Creek ground waters but have lower concentrations of fluoride, manganese, zinc, cobalt, nickel, copper, and lithium. Lower concentrations of elements related to mineralization at Hansen likely reflect the more distal location of Hansen with respect to intrusive centers that provided the heat source for hydrothermal alteration.
The other ground water with water chemistry trends that are outside the Straight Creek trends was from an alluvial well from Capulin Canyon (CC2A). Although it had pH values near 6.0 and most major ions similar to the other Capulin Canyon ground waters, it contained high concentrations of fluoride, manganese, aluminum, iron, beryllium, and zinc similar to a mineralized zone and had low alkalinity.
Saturation indices indicate that solubility constraints continue to provide upper limits on some solute concentrations. Siderite, ferrihydrite, calcite, gypsum, rhodochrosite, and barite provide limits for concentrations of Fe(II), Fe(III), Ca, Mn, and Ba, respectively. Beryllium concentrations may be subject to an upper concentration limit by the solubility of Be(OH)2 but these concentrations probably are not reached in the ground waters.
Ground-water isotopic data were consistent with the meteoric water line estimated for precipitation in the Red River Valley, indicating that all the ground waters examined in this study were meteoric, recent in origin, and showed no substantial indication of evaporation. Tritium-helium-3 and chlorofluorocarbon (CFC) age dating were partially successful. Generally, dates were consistent with location and depth of wells. Two samples had good agreement between CFC dates and tritium-helium dates, whereas a third reflected either substantial mixing with younger or older waters or complications arising from excess helium-4. The well at La Bobita appeared to contain a large component of modern water, most likely as a result of mixing with water from Red River alluvial deposits.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055050","usgsCitation":"Nordstrom, D.K., McCleskey, R.B., Hunt, A.G., and Naus, C.A., 2005, Questa baseline and pre-mining ground-water quality investigation. 14. Interpretation of ground-water geochemistry in catchments other than the Straight Creek catchment, Red River Valley, Taos County, New Mexico, 2002-2003: U.S. Geological Survey Scientific Investigations Report 2005-5050, viii, 84 p., https://doi.org/10.3133/sir20055050.","productDescription":"viii, 84 p.","temporalStart":"2002-01-01","temporalEnd":"2003-12-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":193185,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6559,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20055050/","linkFileType":{"id":5,"text":"html"}},{"id":415932,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_73766.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","county":"Taos County","otherGeospatial":"Red River Valley, Straight Creek catchment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.475,\n 36.7167\n ],\n [\n -105.475,\n 36.7\n ],\n [\n -105.4278,\n 36.7\n ],\n [\n -105.4278,\n 36.7167\n ],\n [\n -105.475,\n 36.7167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a0c3","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":283055,"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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"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":283053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":283052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naus, Cheryl A.","contributorId":82749,"corporation":false,"usgs":true,"family":"Naus","given":"Cheryl","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":283054,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70808,"text":"ofr20051188 - 2005 - Estimation of agricultural pesticide use in drainage basins using land cover maps and county pesticide data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:04","indexId":"ofr20051188","displayToPublicDate":"2005-07-07T00:00:00","publicationYear":"2005","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":"2005-1188","title":"Estimation of agricultural pesticide use in drainage basins using land cover maps and county pesticide data","docAbstract":"A geographic information system (GIS) was used to estimate agricultural pesticide use in the drainage basins of streams that are studied as part of the U.S. Geological Survey?s National Water-Quality Assessment (NAWQA) Program. Drainage basin pesticide use estimates were computed by intersecting digital maps of drainage basin boundaries with an enhanced version of the National Land Cover Data 1992 combined with estimates of 1992 agricultural pesticide use in each United States county. This report presents the methods used to quantify agricultural pesticide use in drainage basins using a GIS and includes the estimates of atrazine use applied to row crops, small-grain crops, and fallow lands in 150 watersheds in the conterminous United States. Basin atrazine use estimates are presented to compare and analyze the results that were derived from 30-meter and 1-kilometer resolution land cover and county pesticide use data, and drainage basin boundaries at various grid cell resolutions. Comparisons of the basin atrazine use estimates derived from watershed boundaries, county pesticide use, and land cover data sets at different resolutions, indicated that overall differences were minor. The largest potential for differences in basin pesticide use estimates between those derived from the 30-meter and 1-kilometer resolution enhanced National Land Cover Data 1992 exists wherever there are abrupt agricultural land cover changes along the basin divide. Despite the limitations of the drainage basin pesticide use data described in this report, the basin estimates provide consistent and comparable indicators of agricultural pesticide application in surface-water drainage basins studied in the NAWQA Program.","language":"ENGLISH","doi":"10.3133/ofr20051188","usgsCitation":"Nakagaki, N., and Wolock, D.M., 2005, Estimation of agricultural pesticide use in drainage basins using land cover maps and county pesticide data (Online only): U.S. Geological Survey Open-File Report 2005-1188, 56 p., https://doi.org/10.3133/ofr20051188.","productDescription":"56 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":6560,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr20051188/","linkFileType":{"id":5,"text":"html"}},{"id":193186,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb4cd","contributors":{"authors":[{"text":"Nakagaki, Naomi 0000-0003-3653-0540 nakagaki@usgs.gov","orcid":"https://orcid.org/0000-0003-3653-0540","contributorId":1067,"corporation":false,"usgs":true,"family":"Nakagaki","given":"Naomi","email":"nakagaki@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":283056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70803,"text":"ofr20051158 - 2005 - Helicopter electromagnetic and magnetic survey data and maps, northern Bexar County, Texas","interactions":[],"lastModifiedDate":"2012-02-02T00:14:04","indexId":"ofr20051158","displayToPublicDate":"2005-07-05T00:00:00","publicationYear":"2005","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":"2005-1158","title":"Helicopter electromagnetic and magnetic survey data and maps, northern Bexar County, Texas","language":"ENGLISH","doi":"10.3133/ofr20051158","usgsCitation":"Smith, B.D., Cain, M.J., Clark, A.K., Moore, D., Faith, J.R., and Hill, P.L., 2005, Helicopter electromagnetic and magnetic survey data and maps, northern Bexar County, Texas (Version 1.0): U.S. Geological Survey Open-File Report 2005-1158, 122 p. with digital data, https://doi.org/10.3133/ofr20051158.","productDescription":"122 p. with digital data","costCenters":[],"links":[{"id":110568,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_71824.htm","linkFileType":{"id":5,"text":"html"},"description":"71824"},{"id":193184,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6558,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1158/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635dc4","contributors":{"authors":[{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":283046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, Michael J.","contributorId":66359,"corporation":false,"usgs":true,"family":"Cain","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":283050,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, David W.","contributorId":63835,"corporation":false,"usgs":true,"family":"Moore","given":"David W.","affiliations":[],"preferred":false,"id":283049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faith, Jason R.","contributorId":92758,"corporation":false,"usgs":true,"family":"Faith","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":283051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hill, Patricia L. pathill@usgs.gov","contributorId":1327,"corporation":false,"usgs":true,"family":"Hill","given":"Patricia","email":"pathill@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":283048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70799,"text":"sir20045300 - 2005 - Analysis and mapping of post-fire hydrologic hazards for the 2002 Hayman, Coal Seam, and Missionary Ridge wildfires, Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:13:45","indexId":"sir20045300","displayToPublicDate":"2005-07-05T00:00:00","publicationYear":"2005","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":"2004-5300","title":"Analysis and mapping of post-fire hydrologic hazards for the 2002 Hayman, Coal Seam, and Missionary Ridge wildfires, Colorado","docAbstract":"Wildfires caused extreme changes in the hydrologic, hydraulic, and geomorphologic characteristics of many Colorado drainage basins in the summer of 2002. Detailed assessments were made of the short-term effects of three wildfires on burned and adjacent unburned parts of drainage basins. These were the Hayman, Coal Seam, and Missionary Ridge wildfires. Longer term runoff characteristics that reflect post-fire drainage basin recovery expected to develop over a period of several years also were analyzed for two affected stream reaches: the South Platte River between Deckers and Trumbull, and Mitchell Creek in Glenwood Springs. The 10-, 50-, 100-, and 500-year flood-plain boundaries and water-surface profiles were computed in a detailed hydraulic study of the Deckers-to-Trumbull reach.\r\n\r\nThe Hayman wildfire burned approximately 138,000 acres (216 square miles) in granitic terrain near Denver, and the predominant potential hazard in this area is flooding by sediment-laden water along the large tributaries to and the main stem of the South Platte River. The Coal Seam wildfire burned approximately 12,200 acres (19.1 square miles) near Glenwood Springs, and the Missionary Ridge wildfire burned approximately 70,500 acres (110 square miles) near Durango, both in areas underlain by marine shales where the predominant potential hazard is debris-flow inundation of low-lying areas.\r\n\r\nHydrographs and peak discharges for pre-burn and post-burn scenarios were computed for each drainage basin and tributary subbasin by using rainfall-runoff models because streamflow data for most tributary subbasins were not available. An objective rainfall-runoff model calibration method based on nonlinear regression and referred to as the ?objective calibration method? was developed and applied to rainfall-runoff models for three burned areas. The HEC-1 rainfall-runoff model was used to simulate the pre-burn rainfall-runoff processes in response to the 100-year storm, and HEC-HMS was used for runoff hydrograph generation.\r\n\r\nPost-burn rainfall-runoff parameters were determined by adjusting the runoff-curve numbers on the basis of a weighting procedure derived from the U.S. Soil Conservation Service (now the National Resources Conservation Service) equation for precipitation excess and the effect of burn severity. This weighting procedure was determined to be more appropriate than simple area weighting because of the potentially marked effect of even small burned areas on the runoff hydrograph in individual drainage basins. Computed water-peak discharges from HEC-HMS models were increased volumetrically to account for increased sediment concentrations that are expected as a result of accelerated erosion after burning. Peak discharge estimates for potential floods in the South Platte River were increased by a factor that assumed a volumetric sediment concentration (Cv) of 20 percent. Flood hydrographs for the South Platte River and Mitchell Creek were routed down main-stem channels using watershed-routing algorithms included in the HEC-HMS rainfall-runoff model.\r\n\r\nIn areas subject to debris flows in the Coal Seam and Missionary Ridge burned areas, debris-flow discharges were simulated by 100-year rainfall events, and the inflow hydrographs at tributary mouths were simulated by using the objective calibration method. Sediment concentrations (Cv) used in debris-flow simulations were varied through the event, and were initial Cv 20 percent, mean Cv approximately 31 percent, maximum Cv 48 percent, Cv 43 percent at the time of the water hydrograph peak, and Cv 20 percent for the duration of the event. The FLO-2D flood- and debris-flow routing model was used to delineate the area of unconfined debris-flow inundation on selected alluvial fan and valley floor areas.\r\n\r\nA method was developed to objectively determine the post-fire recovery period for the Hayman and Coal Seam burned areas using runoff-curve numbers (RCN) for all drainage basins for a 50-year period. A ","language":"ENGLISH","doi":"10.3133/sir20045300","usgsCitation":"Elliott, J.G., Smith, M., Friedel, M., Stevens, M.R., Bossong, C., Litke, D.W., Parker, R.S., Costello, C., Wagner, J., Char, S., Bauer, M., and Wilds, S., 2005, Analysis and mapping of post-fire hydrologic hazards for the 2002 Hayman, Coal Seam, and Missionary Ridge wildfires, Colorado (Online only): U.S. Geological Survey Scientific Investigations Report 2004-5300, 109 p., https://doi.org/10.3133/sir20045300.","productDescription":"109 p.","onlineOnly":"Y","costCenters":[],"links":[{"id":6624,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir20045300/","linkFileType":{"id":5,"text":"html"}},{"id":186323,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db680b85","contributors":{"authors":[{"text":"Elliott, J. G.","contributorId":45341,"corporation":false,"usgs":true,"family":"Elliott","given":"J.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":283033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, M.E.","contributorId":104525,"corporation":false,"usgs":true,"family":"Smith","given":"M.E.","email":"","affiliations":[],"preferred":false,"id":283040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedel, M.J.","contributorId":90823,"corporation":false,"usgs":true,"family":"Friedel","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":283036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, M. R.","contributorId":25178,"corporation":false,"usgs":true,"family":"Stevens","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":283030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bossong, C. R.","contributorId":39762,"corporation":false,"usgs":true,"family":"Bossong","given":"C. R.","affiliations":[],"preferred":false,"id":283032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Litke, D. W.","contributorId":94346,"corporation":false,"usgs":true,"family":"Litke","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":283038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, R. S.","contributorId":104510,"corporation":false,"usgs":true,"family":"Parker","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":283039,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Costello, C.","contributorId":6319,"corporation":false,"usgs":true,"family":"Costello","given":"C.","email":"","affiliations":[],"preferred":false,"id":283029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, J.","contributorId":93764,"corporation":false,"usgs":true,"family":"Wagner","given":"J.","affiliations":[],"preferred":false,"id":283037,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Char, S.J.","contributorId":29266,"corporation":false,"usgs":true,"family":"Char","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":283031,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bauer, M.A.","contributorId":80099,"corporation":false,"usgs":true,"family":"Bauer","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":283035,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilds, S.R.","contributorId":50782,"corporation":false,"usgs":true,"family":"Wilds","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":283034,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70792,"text":"sir20055076 - 2005 - Development and analysis of regional curves for streams in the non-urban valley and ridge physiographic province, Maryland, Virginia, and West Virginia","interactions":[],"lastModifiedDate":"2012-02-02T00:13:45","indexId":"sir20055076","displayToPublicDate":"2005-06-30T00:00:00","publicationYear":"2005","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":"2005-5076","title":"Development and analysis of regional curves for streams in the non-urban valley and ridge physiographic province, Maryland, Virginia, and West Virginia","docAbstract":"Regression relations for bankfull stream characteristics based on drainage area (often called 'regional curves') are used in natural stream channel design to verify field determinations of bankfull discharge and stream channel characteristics. Bankfull stream characteristics were assessed for stream reaches at 41 streamflow-gaging stations in the Valley and Ridge Physiographic Province in Maryland, Virginia, and West Virginia. Data collected included bankfull cross-sectional geometry, flood plain geometry, and longitudinal profile data. In addition, particle-size distributions of streambed material were determined and data on basin characteristics were compiled for each reach. Regional curves were developed for bankfull cross-sectional area, width, and discharge with R2 values of 0.95, 0.89, 0.87, and 0.91, respectively. Examination of the regional curves residuals indicates that there is more variability in bankfull cross-sectional area, width, and discharge for smaller streams than for larger streams. In contrast, there is more variability for bankfull mean depth for larger streams than for smaller streams.\r\n\r\nGeographic analysis of regional curve residuals indicated that there were no further subdivisions within the Valley and Ridge Physiographic Province in the three-state study area for which individual sets of regional curves should be developed. In addition, two separate sets of regional curves were developed with data from the 41 sites to examine potential differences in the relations between the southern (n = 9) and central (n = 32) sections of the province. There were differences in slope and intercept between the two bankfull discharge test relations and a difference in intercept for the width test relations at the 95-percent confidence level. However, the results of this analysis were inconclusive and therefore one set of regional curves for the study area is presented in this report.\r\n\r\nThe regional curves were compared to regression models developed from similar data collected in the Pennsylvania and Maryland portions of the province. No statistical difference in the slope or intercept of regression lines of the three data sets was detected for any of the four bankfull parameters at the 95-percent confidence level.\r\n\r\nBasin characteristics such as percentage of basin forested (percent forested) and percentage of basin underlain by carbonate bedrock (percent carbonate) were analyzed to evaluate variability among regression points. Multivariate regression relations including explanatory terms for percent carbonate and drainage area produced higher R2 values than the regional curves for bankfull cross-sectional area (R2 = 0.95), bankfull width (R2 = 0.92), and bankfull discharge (R2 = 0.93). There was no improvement for the bankfull mean depth relation from adding the additional term. Inclusion of the other basin characteristics in multivariate relations did not improve the regression models.\r\n\r\nRegression models developed for the 1.5-year discharge for all streamflow-gaging stations with peak discharge data throughout Virginia (n = 486) and throughout the Valley and Ridge Physiographic Province in Virginia (n = 147) were compared to the regional curve relating bankfull discharge to drainage area. A similar trend in decreasing variability with increasing drainage area was observed for the 1.5-year discharge for all stations in Virginia . This indicates that the change in variability observed in the discharge regional curve likely would exist with a larger data set. There was no statistical difference at the 95-percent confidence level between regression relations for the southern section of the province (n = 40) and the central section (n = 107). This finding supports maintaining only one set of regional curves for the study area.\r\n\r\nNot all of the variability in the regional curves is explained by drainage area alone. Causes of the remaining variability likely vary among study sites. Users of the regional curves de","language":"ENGLISH","doi":"10.3133/sir20055076","usgsCitation":"Keaton, J.N., Messinger, T., and Doheny, E.J., 2005, Development and analysis of regional curves for streams in the non-urban valley and ridge physiographic province, Maryland, Virginia, and West Virginia: U.S. Geological Survey Scientific Investigations Report 2005-5076, 115 p., https://doi.org/10.3133/sir20055076.","productDescription":"115 p.","costCenters":[],"links":[{"id":6621,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5076/","linkFileType":{"id":5,"text":"html"}},{"id":186236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db6672f7","contributors":{"authors":[{"text":"Keaton, Jefferson N.","contributorId":71636,"corporation":false,"usgs":true,"family":"Keaton","given":"Jefferson","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":283022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messinger, Terence 0000-0003-4084-9298 tmessing@usgs.gov","orcid":"https://orcid.org/0000-0003-4084-9298","contributorId":2717,"corporation":false,"usgs":true,"family":"Messinger","given":"Terence","email":"tmessing@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283020,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doheny, Edward J. 0000-0002-6043-3241 ejdoheny@usgs.gov","orcid":"https://orcid.org/0000-0002-6043-3241","contributorId":4495,"corporation":false,"usgs":true,"family":"Doheny","given":"Edward","email":"ejdoheny@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":283021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70794,"text":"ofr20051080 - 2005 - Ground-water, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona — 2003–04","interactions":[],"lastModifiedDate":"2022-01-12T20:27:16.706452","indexId":"ofr20051080","displayToPublicDate":"2005-06-30T00:00:00","publicationYear":"2005","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":"2005-1080","title":"Ground-water, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona — 2003–04","docAbstract":"The N aquifer is the major source of water in the 5,400-square-mile area of Black Mesa in northeastern Arizona. Availability of water is an important issue in this area because of continued industrial and municipal use, a growing population, and precipitation of about 6 to 14 inches per year.\r\n\r\nThe monitoring program in the Black Mesa area has been operating since 1971 and is designed to determine the long-term effects of ground-water withdrawals from the N aquifer for industrial and municipal uses. The monitoring program includes measurements of (1) ground-water pumping, (2) ground-water levels, (3) spring discharge, (4) surface-water discharge, (5) ground-water chemistry, and (6) periodic testing of ground-water withdrawal meters.\r\n\r\nIn 2003, total ground-water withdrawals were 7,240 acre-feet, industrial withdrawals were 4,450 acre-feet, and municipal withdrawals were 2,790 acre-feet. From 2002 to 2003, total withdrawals decreased by 10 percent, industrial withdrawals decreased by 4 percent, and municipal withdrawals decreased by 20 percent. Flowmeter testing was completed for 24 municipal wells in 2004. The median difference between pumping rates for the permanent meter and a test meter for all the sites tested was -2.9 percent. Values ranged from -10.9 percent at Forest Lake NTUA 1 to +7.8 percent at Rough Rock NTUA 2. From 2003 to 2004, water levels declined in 6 of 12 wells in the unconfined part of the aquifer, and the median change was -0.1 foot. Water levels declined in 7 of 11 wells in the confined part of the aquifer, and the median change was -2.7 feet.\r\n\r\nFrom the prestress period (prior to 1965) to 2003, the median water-level change for 26 wells was -23.2 feet. Median water-level change were -6.1 feet for 14 wells in the unconfined parts of the aquifer and and -72.1 feet for 12 wells in the confined part.\r\n\r\nDischarges were measured once in 2003 and once in 2004 at four springs. Discharge stayed the same at Pasture Canyon Spring, increased 9 percent at Moenkopi Spring, decreased 26 percent at an unnamed spring near Dennehotso, and decreased 50 percent at Burro Spring. For the past 12 years, discharges from the four springs have fluctuated; however, an increasing or decreasing trend is not apparent.\r\n\r\nContinuous records of surface-water discharge have been collected from 1976 to 2003 at Moenkopi Wash, 1996 to 2003 at Laguna Creek, 1993 to 2003 at Dinnebito Wash, and 1994 to 2003 at Polacca Wash. Median flows for November, December, January, and February of each water year were used as an index of ground-water discharge to those streams. Since 1995, the median winter flows have decreased for Moenkopi Wash, Dinnebito Wash, and Polacca Wash. Since the first continuous record of surface-water discharge in 1997, there is no consistent trend in the median winter flow for Laguna Creek.\r\n\r\nIn 2004, water samples were collected from 12 wells and 4 springs and analyzed for selected chemical constituents. Dissolved-solids concentrations ranged from 100 to 649 milligrams per liter. Water samples from 11 of the wells and from all the springs had less than 500 milligrams per liter of dissolved solids. There are no appreciable time trends in the chemistry of water samples from 7 wells and 2 springs; increasing trends in dissolved-solids and chloride concentrations were evident from the more than 10 years of data for 2 springs.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20051080","usgsCitation":"Truini, M., Macy, J.P., and Porter, T.J., 2005, Ground-water, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona — 2003–04: U.S. Geological Survey Open-File Report 2005-1080, vi, 44 p., https://doi.org/10.3133/ofr20051080.","productDescription":"vi, 44 p.","costCenters":[],"links":[{"id":6623,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr2005-1080/","linkFileType":{"id":5,"text":"html"}},{"id":186238,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":394269,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_72310.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.4,\n 35.6\n ],\n [\n -109.5833,\n 35.6\n ],\n [\n -109.5833,\n 36.8833\n ],\n [\n -111.4,\n 36.8833\n ],\n [\n -111.4,\n 35.6\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db69837f","contributors":{"authors":[{"text":"Truini, Margot mtruini@usgs.gov","contributorId":599,"corporation":false,"usgs":true,"family":"Truini","given":"Margot","email":"mtruini@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porter, Thomas J.","contributorId":89607,"corporation":false,"usgs":true,"family":"Porter","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":283028,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70793,"text":"sir20055089 - 2005 - Simulation of ground-water flow in coastal Georgia and adjacent parts of South Carolina and Florida-predevelopment, 1980, and 2000","interactions":[],"lastModifiedDate":"2017-01-17T17:28:50","indexId":"sir20055089","displayToPublicDate":"2005-06-30T00:00:00","publicationYear":"2005","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":"2005-5089","title":"Simulation of ground-water flow in coastal Georgia and adjacent parts of South Carolina and Florida-predevelopment, 1980, and 2000","docAbstract":"A digital model was developed to simulate steady-state ground-water flow in a 42,155-square-mile area of coastal Georgia and adjacent parts of South Carolina and Florida. The model was developed to (1) understand and refine the conceptual model of regional ground-water flow, (2) serve as a framework for the development of digital subregional ground-water flow and solute-transport models, and (3) serve as a tool for future evaluations of hypothetical pumping scenarios used to facilitate water management in the coastal area.\r\n\r\nSingle-density ground-water flow was simulated using the U.S. Geological Survey finite-difference code MODFLOW-2000 for mean-annual conditions during predevelopment (pre?1900) and the years 1980 and 2000. The model comprises seven layers: the surficial aquifer system, the Brunswick aquifer system, the Upper Floridan aquifer, the Lower Floridan aquifer, and the intervening confining units. A combination of boundary conditions was applied, including a general-head boundary condition on the top active cells of the model and a time-variable fixed-head boundary condition along part of the southern lateral boundary.\r\n\r\nSimulated heads for 1980 and 2000 conditions indicate a good match to observed values, based on a plus-or-minus 10-foot (ft) calibration target and calibration statistics. The root-mean square of residual water levels for the Upper Floridan aquifer was 13.0 ft for the 1980 calibration and 9.94 ft for the 2000 calibration. Some spatial patterns of residuals were indicated for the 1980 and 2000 simulations, and are likely a result of model-grid cell size and insufficiently detailed hydraulic-property and pumpage data in some areas. Simulated potentiometric surfaces for predevelopment, 1980, and 2000 conditions all show major flow system features that are indicated by estimated peotentiometric maps.\r\n\r\nDuring 1980?2000, simulated water levels at the centers of pumping at Savannah and Brunswick rose more than 20 ft and 8 ft, respectively, in response to decreased pumping. Simulated drawdown exceeded 10 ft in the Upper Floridan aquifer across much of the western half of the model area, with drawdown exceeding 20 ft along parts of the western, northern, and southern boundaries where irrigation pumping increased during this period.\r\n\r\nFrom predevelopment to 2000 conditions, the simulated water budget showed an increase in inflow from, and decrease in outflow to, the general-head boundaries, and a reversal from net seaward flow to net landward flow across the coastline. Simulated changes in recharge and discharge distribution from predevelopment to 2000 conditions showed an increase in extent and magnitude of net recharge cells in the northern part of the model area, and a decrease in discharge or change to recharge in cells containing major streams and beneath major pumping centers.\r\n\r\nThe model is relatively sensitive to pumping and the controlling head at the fixed-head boundary and less sensitive to the distribution of aquifer properties in general. Model limitations include: (1) its spatial scale and discretization, (2) the extent to which data are available to physically define the flow system, (3) the type of boundary conditions and controlling parameters used, (4) uncertainty in the distribution of pumping, and (5) uncertainty in field-scale hydraulic properties. The model could be improved with more accurate estimates of ground-water pumpage and better characterization of recharge and discharge.","language":"ENGLISH","doi":"10.3133/sir20055089","usgsCitation":"Payne, D.F., Rumman, M.A., and Clarke, J.S., 2005, Simulation of ground-water flow in coastal Georgia and adjacent parts of South Carolina and Florida-predevelopment, 1980, and 2000 (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5089, 92 p., https://doi.org/10.3133/sir20055089.","productDescription":"92 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":186237,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6622,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5089/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida, Georgia, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.49609375,\n 29.611670115197377\n ],\n [\n -83.49609375,\n 34.34343606848294\n ],\n [\n -78.31054687499999,\n 34.34343606848294\n ],\n [\n -78.31054687499999,\n 29.611670115197377\n ],\n [\n -83.49609375,\n 29.611670115197377\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online only","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a75e4b07f02db644a14","contributors":{"authors":[{"text":"Payne, Dorothy F.","contributorId":88825,"corporation":false,"usgs":true,"family":"Payne","given":"Dorothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":283025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumman, Malek Abu","contributorId":82399,"corporation":false,"usgs":true,"family":"Rumman","given":"Malek","email":"","middleInitial":"Abu","affiliations":[],"preferred":false,"id":283024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283023,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70787,"text":"ofr20051201 - 2005 - Estimated water use in Puerto Rico, 2000","interactions":[],"lastModifiedDate":"2012-02-02T00:13:49","indexId":"ofr20051201","displayToPublicDate":"2005-06-28T00:00:00","publicationYear":"2005","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":"2005-1201","title":"Estimated water use in Puerto Rico, 2000","docAbstract":"Water-use data were compiled for the 78 municipios of the Commonwealth of Puerto Rico for 2000. Five offstream categories were considered: public-supply water withdrawals, domestic self-supplied water use, industrial self-supplied withdrawals, crop irrigation water use, and thermoelectric power fresh water use. Two additional categories also were considered: power generation instream use and public wastewater treatment return-flows. Fresh water withdrawals for offstream use from surface- and ground-water sources in Puerto Rico were estimated at 617 million gallons per day. The largest amount of fresh water withdrawn was by public-supply water facilities and was estimated at 540 million gallons per day. Fresh surface- and ground-water withdrawals by domestic self-supplied users was estimated at 2 million gallons per day and the industrial self-supplied withdrawals were estimated at 9.5 million gallons per day. Withdrawals for crop irrigation purposes were estimated at 64 million gallons per day, or approximately 10 percent of all offstream fresh water withdrawals. Saline instream surface-water withdrawals for cooling purposes by thermoelectric power facilities was estimated at 2,191 million gallons per day, and instream fresh water withdrawals by hydroelectric facilities at 171 million gallons per day. Total discharge from public wastewater treatment facilities was estimated at 211 million gallons per day.","language":"ENGLISH","doi":"10.3133/ofr20051201","usgsCitation":"Molina-Rivera, W.L., 2005, Estimated water use in Puerto Rico, 2000: U.S. Geological Survey Open-File Report 2005-1201, 35 p., https://doi.org/10.3133/ofr20051201.","productDescription":"35 p.","costCenters":[],"links":[{"id":6600,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr20051201/","linkFileType":{"id":5,"text":"html"}},{"id":186581,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fcbf1","contributors":{"authors":[{"text":"Molina-Rivera, Wanda L. 0000-0001-5856-283X","orcid":"https://orcid.org/0000-0001-5856-283X","contributorId":54190,"corporation":false,"usgs":true,"family":"Molina-Rivera","given":"Wanda","email":"","middleInitial":"L.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283016,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70788,"text":"wdrIN041 - 2005 - Water resources data Indiana water year 2004","interactions":[],"lastModifiedDate":"2012-02-02T00:13:49","indexId":"wdrIN041","displayToPublicDate":"2005-06-28T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"IN-04-1","title":"Water resources data Indiana water year 2004","language":"ENGLISH","doi":"10.3133/wdrIN041","usgsCitation":"Morlock, S.E., Nguyen, H.T., and Majors, D.K., 2005, Water resources data Indiana water year 2004: U.S. Geological Survey Water Data Report IN-04-1, 523 p., https://doi.org/10.3133/wdrIN041.","productDescription":"523 p.","costCenters":[],"links":[{"id":6601,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wdr-in-04/","linkFileType":{"id":5,"text":"html"}},{"id":186582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a07e4b07f02db5f9788","contributors":{"authors":[{"text":"Morlock, Scott E. smorlock@usgs.gov","contributorId":3212,"corporation":false,"usgs":true,"family":"Morlock","given":"Scott","email":"smorlock@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":283017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nguyen, Hieu T.","contributorId":97179,"corporation":false,"usgs":true,"family":"Nguyen","given":"Hieu","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":283019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Majors, Deborah K.","contributorId":91925,"corporation":false,"usgs":true,"family":"Majors","given":"Deborah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":283018,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70778,"text":"sir20055023 - 2005 - Sensitivity of alpine and subalpine lakes to acidification from atmospheric deposition in Grand Teton National Park and Yellowstone National Park, Wyoming","interactions":[],"lastModifiedDate":"2012-02-02T00:13:49","indexId":"sir20055023","displayToPublicDate":"2005-06-27T00:00:00","publicationYear":"2005","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":"2005-5023","title":"Sensitivity of alpine and subalpine lakes to acidification from atmospheric deposition in Grand Teton National Park and Yellowstone National Park, Wyoming","docAbstract":"The sensitivity of 400 lakes in Grand Teton and Yellowstone National Parks to acidification from atmospheric deposition of nitrogen and sulfur was estimated based on statistical relations between acid-neutralizing capacity concentrations and basin characteristics to aid in the design of a long-term monitoring plan for Outstanding Natural Resource Waters. Acid-neutralizing capacity concentrations that were measured at 52 lakes in Grand Teton and 23 lakes in Yellowstone during synoptic surveys were used to calibrate the statistical models. Three acid-neutralizing capacity concentration bins (bins) were selected that are within the U.S. Environmental Protection Agency criteria of sensitive to acidification; less than 50 microequivalents per liter (?eq/L) (0-50), less than 100 ?eq/L (0-100), and less than 200 ?eq/L (0-200). The development of discrete bins enables resource managers to have the ability to change criteria based on the focus of their study. Basin-characteristic information was derived from Geographic Information System data sets. The explanatory variables that were considered included bedrock type, basin slope, basin aspect, basin elevation, lake area, basin area, inorganic nitrogen deposition, sulfate deposition, hydrogen ion deposition, basin precipitation, soil type, and vegetation type. A logistic regression model was developed and applied to lake basins greater than 1 hectare in Grand Teton (n = 106) and Yellowstone (n = 294).\r\n\r\nA higher percentage of lakes in Grand Teton than in Yellowstone were predicted to be sensitive to atmospheric deposition in all three bins. For Grand Teton, 7 percent of lakes had a greater than 60-percent probability of having acid-neutralizing capacity concentrations in the 0-50 bin, 36 percent of lakes had a greater than 60-percent probability of having acid-neutralizing capacity concentrations in the 0-100 bin, and 59 percent of lakes had a greater than 60-percent probability of having acid-neutralizing capacity concentrations in the 0-200 bin. The elevation of the lake outlet and the area of the basin with northeast aspects were determined to be statistically significant and were used as the explanatory variables in the multivariate logistic regression model for the 0-100 bin. For Yellowstone, results indicated that 13 percent of lakes had a greater than 60-percent probability of having acid-neutralizing capacity concentrations in the 0-100 bin, and 27 percent of lakes had a greater than 60-percent probability of having acid-neutralizing capacity concentrations in the 0-200 bin. Only the elevation of the lake outlet was determined to be statistically significant and was used as the explanatory variable for the 0-100 bin.\r\n\r\nThe lakes that exceeded 60-percent probability of having an acid-neutralizing capacity concentration in the 0-100 bin, and therefore had the greatest sensitivity to acidification from atmospheric deposition, are located at elevations greater than 2,790 meters in Grand Teton, and greater than 2,590 meters in Yellowstone.","language":"ENGLISH","doi":"10.3133/sir20055023","usgsCitation":"Nanus, L., Campbell, D.H., and Williams, M.W., 2005, Sensitivity of alpine and subalpine lakes to acidification from atmospheric deposition in Grand Teton National Park and Yellowstone National Park, Wyoming: U.S. Geological Survey Scientific Investigations Report 2005-5023, 41 p., https://doi.org/10.3133/sir20055023.","productDescription":"41 p.","costCenters":[],"links":[{"id":6598,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5023/","linkFileType":{"id":5,"text":"html"}},{"id":125142,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5023.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689c4e","contributors":{"authors":[{"text":"Nanus, Leora","contributorId":27930,"corporation":false,"usgs":true,"family":"Nanus","given":"Leora","email":"","affiliations":[],"preferred":false,"id":283010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Donald H. dhcampbe@usgs.gov","contributorId":1670,"corporation":false,"usgs":true,"family":"Campbell","given":"Donald","email":"dhcampbe@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":283009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Mark W.","contributorId":43046,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":283011,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70781,"text":"sir20055101 - 2005 - Geochemistry of Red Mountain Creek, Colorado, under low-flow conditions, August 2002","interactions":[],"lastModifiedDate":"2020-02-04T09:10:38","indexId":"sir20055101","displayToPublicDate":"2005-06-27T00:00:00","publicationYear":"2005","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":"2005-5101","title":"Geochemistry of Red Mountain Creek, Colorado, under low-flow conditions, August 2002","docAbstract":"Red Mountain Creek, an acid mine drainage stream in southwestern Colorado, was the subject of a synoptic study conducted in August 2002. During the synoptic study, a solution containing lithium chloride was injected continuously to allow for the calculation of streamflow using the tracer-dilution method. Synoptic water-quality samples were collected from 48 stream sites and 29 inflow locations along a 5.4-kilometer study reach. Data from the study provide profiles of pH, concentration, and mass load with a high degree of spatial resolution. Despite the presence of 10 circumneutral inflows, pH remained below 3.4 at all stream sites. Concentration profiles indicate that dissolved concentrations of aluminum, cadmium, copper, lead, and zinc exceed chronic aquatic-life standards established by the State of Colorado along the entire study reach. Comparison of total recoverable and dissolved concentrations suggests that most constituents were transported conservatively. Exceptions to this pattern include arsenic, iron, molybdenum, and vanadium, four constituents that were subject to precipitation and(or) sorption reactions as the addition of a circumneutral tributary resulted in a slight increase in instream pH. Evaluation of data from the 29 inflow locations indicates a sharp contrast between the east and west sides of the watershed; inflows from the east side have high constituent concentrations and acidic pH, whereas inflows from the west side have lower concentrations and generally higher pH. Loading profiles, the product of streamflow and concentration, are used to rank potential sources of metals and acidity within the watershed. Four sources account for 83, 72, 70, 69, 64, and 61 percent of the aluminum, iron, arsenic, zinc, copper, and cadmium loading within the study reach, respectively. All four sources appear to be the result of surface inflows that have been affected by mining activities. The relatively small number of major sources and the fact that they are attributable to surface inflows are two factors that may facilitate effective remediation.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055101","usgsCitation":"Runkel, R.L., Kimball, B.A., Walton-Day, K., and Verplanck, P.L., 2005, Geochemistry of Red Mountain Creek, Colorado, under low-flow conditions, August 2002: U.S. Geological Survey Scientific Investigations Report 2005-5101, 86 p., https://doi.org/10.3133/sir20055101.","productDescription":"86 p.","onlineOnly":"Y","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":6599,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5101/","linkFileType":{"id":5,"text":"html"}},{"id":186511,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Red Mountain Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.69176483154297,\n 37.913867495923746\n ],\n [\n -107.64232635498047,\n 37.913867495923746\n ],\n [\n -107.64232635498047,\n 37.98398664126368\n ],\n [\n -107.69176483154297,\n 37.98398664126368\n ],\n [\n -107.69176483154297,\n 37.913867495923746\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae444","contributors":{"authors":[{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":283012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":283015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":283014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70746,"text":"sir20055039 - 2005 - Occurrence of fecal-indicator bacteria and protocols for identification of fecal-contamination sources in selected reaches of the West Branch Brandywine Creek, Chester County, Pennsylvania","interactions":[],"lastModifiedDate":"2023-04-17T21:29:32.172462","indexId":"sir20055039","displayToPublicDate":"2005-06-22T00:00:00","publicationYear":"2005","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":"2005-5039","title":"Occurrence of fecal-indicator bacteria and protocols for identification of fecal-contamination sources in selected reaches of the West Branch Brandywine Creek, Chester County, Pennsylvania","docAbstract":"The presence of fecal-indicator bacteria indicates the potential presence of pathogens originating from the fecal matter of warm-blooded animals. These pathogens are responsible for numerous human diseases ranging from common diarrhea to meningitis and polio. The detection of fecal-indicator bacteria and interpretation of the resultant data are, therefore, of great importance to water-resource managers. Current (2005) techniques used to assess fecal contamination within the fluvial environment primarily assess samples collected from the water column, either as grab samples or as depth- and (or) width-integrated samples. However, current research indicates approximately 99 percent of all bacteria within nature exist as attached, or sessile, bacteria. Because of this condition, most current techniques for the detection of fecal contamination, which utilize bacteria, assess only about 1 percent of the total bacteria within the fluvial system and are, therefore, problematic. Evaluation of the environmental factors affecting the occurrence and distribution of bacteria within the fluvial system, as well as the evaluation and modification of alternative approaches that effectively quantify the larger population of sessile bacteria within fluvial sediments, will present water-resource managers with more effective tools to assess, prevent, and (or) eliminate sources of fecal contamination within pristine and impaired watersheds.
Two stream reaches on the West Branch Brandywine Creek in the Coatesville, Pa., region were studied between September 2002 and August 2003. The effects of sediment particle size, climatic conditions, aquatic growth, environmental chemistry, impervious surfaces, sediment and soil filtration, and dams on observed bacteria concentrations were evaluated. Alternative approaches were assessed to better detect geographic sources of fecal contamination including the use of turbidity as a surrogate for bacteria, the modification and implementation of sandbag bacteria samplers, and the use of optical brighteners. For the purposes of this report, sources of bacteria were defined as geographic locations where elevated concentrations of bacteria are observed within, or expected to enter, the main branch of the West Branch Brandywine Creek. Biologic sources (for example, waterfowl) were noted where applicable; however, no specific study of biologic sources (such as bacterial source tracking) was conducted.
Data indicated that specific bacterial populations within fluvial sediments could be related to specific particle-size ranges. This relation is likely the result of the reduced porosity and permeability associated with finer sediments and the ability of specific bacteria to tolerate particular environments. Escherichia coli (E. coli) showed a higher median concentration (2,160 colonies per gram of saturated sediment) in the 0.125 to 0.5-millimeter size range of natural sediments than in other ranges, and enterococcus bacteria showed a higher median concentration (61,830 colonies per gram of saturated sediment) in the 0.062 to 0.25-millimeter size range of natural sediments than in other ranges. There were insufficient data to assess the particle-size relation to fecal coliform bacteria and (or) fecal streptococcus bacteria.
Climatic conditions were shown to affect bacteria concentrations in both the water column and fluvial sediments. Drought conditions in 2002 resulted in lower overall bacteria concentrations than the more typically wet year of 2003. E. coli concentrations in fluvial sediment along the Coatesville study reach in 2002 had a median concentration of 92 colonies per gram of saturated sediment; in 2003, the median concentration had risen to 4,752 colonies per gram of saturated sediment.
Symbiotic relations between bacteria and aquatic growth were likely responsible for increased bacteria concentrations observed within an impoundment area on the Coatesville study reach. This reach showed evidence of elevated aquatic growth and sharp increases in E. coli concentrations from upstream to downstream through the impoundment area in both 2002 and 2003. In 2003, E. coli concentrations within the waters column increased from 940 colonies per 100 milliliters upstream to 6,000 colonies per 100 milliliters at the dam crest. Given that these bacteria likely resulted from natural bacterial regrowth, the use of E. coli as an indicator of fecal contamination was severely impaired.
Variable environmental conditions along the West Branch Brandywine Creek made the common field-chemical parameters of specific conductance, temperature, pH, and dissolved oxygen ineffective and (or) impossible to use for the determination of inputs of fecal contamination. Extreme variations in chemical gradients commonly were related to the urban/industrial signature of the watershed. For example, during base-flow sampling in 2002, specific-conductance values exceeding 1,000 microsiemens per centimeter observed in effluent from a local steel mill. This effluent raised the specific conductance within the West Branch Brandywine from just above 200 microsiemens per centimeter upstream from the outfall to just below 500 microsiemens per centimeter downstream from the outfall. These chemical gradients also, likely, had an effect on the initial colonization of bacteria, the formation of biofilms, and the persistence of certain types of bacteria along the study reach.
Data collected in 2003 indicated that nutrients increased during both base-flow and stormflow conditions along the Coatesville study reach. For example, during base-flow sampling in 2003, 20 pounds of phosphorus was shown to enter the West Branch Brandywine Creek along the Coatesville study reach. The largest contributors to this base-flow nutrient load were likely two wastewater-treatment facilities adjacent to the study reach. During stormflow sampling in 2003, 480 pounds of phosphorus was shown to enter the West Branch Brandywine Creek along the Coatesville study reach. Data, along with other research, indicated the largest contributor to this stormflow nutrient load was likely remobilized sediment originating from a large dam impoundment. These elevated nutrient concentrations were considered sufficient to promote accelerated aquatic growth along the reach.
Data collected in 2003 showed that wastewater constituents entered the West Branch Brandywine Creek largely from urban storm-sewer systems. Samples from the primary storm sewer for the city of Coatesville had detections for 20 of 69 wastewater constituents. These constituents included both strong and weak indicators of fecal contamination and generally indicated the storm-sewer system along the Coatesville study reach was a likely source of fecal-indicator bacteria and fecal contamination under base-flow conditions. By comparison, 5 constituents were detected in samples from the upstream end of the reach, and 10 constituents were detected in samples from the downstream end of the reach. During stormflow, numbers of detections were similar along the entire length of the study reach-five in samples from the upstream end, eight in samples from the center of the reach, and seven in samples from the downstream end of the reach. These data indicate that point sources (such as culverts and pipes, septic systems, and wastewater-treatment facilities) are not likely the origin of bacteria contamination during stormflow. The bacteria concentrations observed during stormflow events probably result from remobilized sessile bacteria stored within fluvial sediments. In this case, these bacteria should not be considered indicators of current fecal contamination.
Impervious surfaces were found to increase bacteria concentrations along the West Branch Brandywine Creek because contaminated runoff from impervious areas generally flows into, and is concentrated within, the confines of the local storm-sewer system. During 2002, storm-sewer outfalls draining impervious areas were associated with all major locations of elevated bacterial concentrations (greater than 1,200 colonies per gram of saturated sediment) in fluvial sediments. During 2003, wetter conditions and overall bacteria concentrations higher than in 2002 resulted in point sources of bacterial contamination becoming less pronounced; however, the storm-sewer system, draining adjacent impervious areas, was still observed to be the primary source of bacteria along the reach. Where stormwater and (or) other runoff from these areas was allowed to infiltrate and (or) flow through wetland and riparian buffers, bacteria concentrations were not observed to be elevated above background levels commonly observed throughout similar areas of the same reach.
Two run-of-the-river dams along the Coatesville study reach were evaluated for their effects on observed bacterial concentrations. These dams were shown to have greater or lesser effects on bacterial concentrations depending on the size of the structure and the capacity of the structure to impede flows. The smaller upstream dam had an approximate height of 3 feet and showed little observed effect on measured turbidity values; these data indicated that the dam did not effectively impede the flow of water or sediment within the West Branch Brandywine Creek. Consequently, this small dam did not show any observed effect on bacterial concentrations either upstream or downstream of the structure. The larger dam, near the middle of the reach, had an approximate height of 20 feet and showed greater effects on both turbidity and bacteria concentrations. The capacity of the larger dam to impede flows, combined with nutrients entering the reach, resulted in increased biologic activity throughout the impoundment area. Within this larger impoundment, enterococcus bacteria populations were observed to decrease sharply and E. coli bacteria populations were observed to increase sharply as flow approached the dam crest. All bacteria levels were then observed to drop to background levels, in both the water column and fluvial sediment, immediately downstream from the dam crest. Additional study is required to determine the cause for this rapid die off.
Turbidity was assessed as a potential surrogate for E. coli bacteria. Regression analysis indicated higher turbidity levels usually can indicate higher concentrations of bacteria (R2 = 0.67), but the relation was too sporadic on the West Branch Brandywine Creek to use turbidity as a surrogate for estimated bacteria concentrations. Evaluation of data from individual base-flow and stormflow events resulted in variable and generally poor statistical relations between E. coli bacteria and turbidity (R2 values ranged from 0.02 to 0.94).
Sandbag samplers were used in 2003 to determine their suitability for the assessment of fecal contamination. Sandbag samplers rely on the ability of bacteria to attach to surfaces and use the larger sessile bacteria populations instead of the more commonly used planktonic bacteria populations. E. coli bacteria concentrations observed in the sandbag samplers, after 1 week in place, were similar to those found within natural sediments collected concurrently. Enterococcus bacteria concentrations within the same sandbag samplers were not similar, and were generally lower, than those observed within the natural sediments. This discrepancy was likely because sand within the samplers was sieved to a size that was likely too coarse for enterococcus bacteria to persist.
Optical-brightener samplers were installed along with each sandbag sampler. Optical brighteners are additives used in common household detergents; therefore, detection of optical brighteners, along with elevated fecal-indicator bacteria concentrations, strongly indicates a link to humans. Positive results for optical brighteners were detected only at the outfalls of two sewage-treatment facilities; because of treatment of the effluent from these facilities, these samples did not have elevated bacteria concentrations. The lack of additional positive results was largely because this method is not sensitive to low concentrations of optical brighteners.
This work evaluates the use of the biotic ligand model (BLM), an aquatic toxicity model, to predict toxic effects of metals on aquatic biota in areas underlain by different rock types. The chemical composition of water, soil, and sediment is largely derived from the composition of the underlying rock. Geologic source materials control key attributes of water chemistry that affect metal toxicity to aquatic biota, including: 1) potentially toxic elements, 2) alkalinity, 3) total dissolved solids, and 4) soluble major elements, such as Ca and Mg, which contribute to water hardness. Miller (2002) compiled chemical data for water samples collected in watersheds underlain by ten different rock types, and in a mineralized area in western Colorado. He found that each rock type has a unique range of water chemistry. In this study, the ten rock types were grouped into two general categories, igneous and sedimentary. Water collected in watersheds underlain by sedimentary rock has higher mean pH, alkalinity, and calcium concentrations than water collected in watersheds underlain by igneous rock. Water collected in the mineralized area had elevated concentrations of calcium and sulfate in addition to other chemical constituents. Miller's water-chemistry data were used in the BLM (computer program) to determine copper and zinc toxicity to Daphnia magna. Modeling results show that waters from watersheds underlain by different rock types have characteristic ranges of predicted LC 50 values (a measurement of aquatic toxicity) for copper and zinc, with watersheds underlain by igneous rock having lower predicted LC 50 values than watersheds underlain by sedimentary rock. Lower predicted LC 50 values suggest that aquatic biota in watersheds underlain by igneous rock may be more vulnerable to copper and zinc inputs than aquatic biota in watersheds underlain by sedimentary rock. For both copper and zinc, there is a trend of increasing predicted LC 50 values with increasing dissolved organic carbon (DOC) concentrations. Predicted copper LC 50 values are extremely sensitive to DOC concentrations, whereas alkalinity appears to have an influence on zinc toxicity at alkalinities in excess of about 100 mg/L CaCO 3 . These findings show promise for coupling the BLM (computer program) with measured water-chemistry data to predict metal toxicity to aquatic biota in different geologic settings and under different scenarios. This approach may ultimately be a useful tool for mine-site planning, mitigation and remediation strategies, and ecological risk assessment.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2005 National Meeting of the American Society of Mining and Reclamation","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2005 National Meeting of the American Society of Mining and Reclamation","conferenceDate":"06/19/2005","conferenceLocation":"Breckenridge, CO","language":"English","publisher":"American Society of Mining and Reclamation","publisherLocation":"Lexington, KY","usgsCitation":"Smith, K.S., 2005, Use of the Biotic Ligand Model to predict metal toxicity to aquatic biota in areas of differing geology, in Proceedings of the 2005 National Meeting of the American Society of Mining and Reclamation, Breckenridge, CO, 06/19/2005, p. 1134-1154.","productDescription":"21 p.","startPage":"1134","endPage":"1154","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018548","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":298564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5507fed1e4b02e76d757c16b","contributors":{"authors":[{"text":"Smith, Kathleen S. 0000-0001-8547-9804 ksmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8547-9804","contributorId":182,"corporation":false,"usgs":true,"family":"Smith","given":"Kathleen","email":"ksmith@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":542399,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70717,"text":"sir20045240 - 2005 - Reconnaissance of the Hydrogeology of Ta'u, American Samoa","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20045240","displayToPublicDate":"2005-06-18T00:00:00","publicationYear":"2005","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":"2004-5240","title":"Reconnaissance of the Hydrogeology of Ta'u, American Samoa","docAbstract":"Analysis of existing data and information collected on a reconnaissance field visit supports a conceptual model of ground-water occurrence in Ta'u, American Samoa, in which a thin freshwater lens exists in a predominantly high-permeability aquifer that receives high rates of recharge. Because the freshwater lens is thin throughout most of the island, the productivity of wells, especially those near the coast where the lens is the thinnest, is likely to be limited by saltwater intrusion.\r\n\r\nThe landfill in northwestern Ta'u is closer to the north coast of the island than to any of the existing or proposed well sites. Although this may indicate that ground water beneath the landfill would flow away from the existing and proposed well sites, this interpretation may change depending on the hydraulic properties of a fault and rift zone in the area. Of four plausible scenarios tested with a numerical ground-water flow model, only one scenario indicated that ground water from beneath the landfill would flow toward the existing and proposed well sites; the analysis does not, however, assess which of the four scenarios is most plausible. The analysis also does not consider the change in flow paths that will result from ground-water withdrawals, dispersion of contaminants during transport by ground water, other plausible hydrogeologic scenarios, transport of contaminants by surface-water flow, or that sources of contamination other than the landfill may exist.\r\n\r\nAccuracy of the hydrologic interpretations in this study is limited by the relatively sparse data available for Ta'u. Understanding water resources on Ta'u can be advanced by monitoring rainfall, stream-flow, evaporation, ground-water withdrawals, and water quality, and with accurate surveys of measuring point elevations for all wells and careful testing of well-performance. Assessing the potential for contaminants in the landfill to reach existing and proposed well sites can be improved with additional information on the landfill itself (history, construction, contents, water chemistry), surface-water flow directions, spatial distribution of ground-water levels, and the quality of water in nearby wells. Monitoring water levels and chemistry in one or more monitoring wells between the landfill and existing or proposed wells can provide a means to detect movement of contaminants before they reach production wells. Steps that can be implemented in the short term include analyzing water in the landfill and monitoring of water chemistry and water levels in all existing and new production wells.\r\n\r\nPlacing future wells farther inland may mitigate saltwater intrusion problems, but the steep topography of Ta'u limits the feasibility of this approach. Alternative solutions include distributing ground-water withdrawal among several shallow-penetrating, low-yield wells.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20045240","collaboration":"Prepared in cooperation with the American Samoa Power Authority","usgsCitation":"Izuka, S.K., 2005, Reconnaissance of the Hydrogeology of Ta'u, American Samoa: U.S. Geological Survey Scientific Investigations Report 2004-5240, iv, 20 p., https://doi.org/10.3133/sir20045240.","productDescription":"iv, 20 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":193229,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":6665,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2004-5240/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635ebc","contributors":{"authors":[{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":282934,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70716,"text":"sir20055040 - 2005 - Comparison of preconstruction and 2003 bathymetric and topographic surveys of Lake McConaughy, Nebraska","interactions":[],"lastModifiedDate":"2022-01-07T19:39:04.856421","indexId":"sir20055040","displayToPublicDate":"2005-06-18T00:00:00","publicationYear":"2005","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":"2005-5040","title":"Comparison of preconstruction and 2003 bathymetric and topographic surveys of Lake McConaughy, Nebraska","docAbstract":"The U.S. Geological Survey, in cooperation with The Central Nebraska Public Power and Irrigation District, conducted a study that used bathymetric and topographic surveying in conjunction with Geographical Information Systems techniques to determine the 2003 physical shape, current storage capacity, and the changes in storage capacity of Lake McConaughy that have occurred over the past 62 years. By combining the bathymetric and topographic survey data, the current surface area of Lake McConaughy was determined to be 30,413.0 acres, with a volume of 1,756,300 acre-feet at the lake conservation-pool elevation of 3,266.4 feet above North American Vertical Datum of 1988 (3,265.0 feet above Central datum). To determine the changes in storage of Lake McConaughy, the 2003 survey Digital Elevation Model (DEM) was compared to a preconstruction DEM compiled from historical contour maps. This comparison showed an increase in elevation at the dam site due to the installation of Kingsley Dam. Immediately to the west of the Kingsley Dam is an area of decline where a borrow pit for Kingsley Dam was excavated. The comparison of the preconstruction survey to the 2003 survey also was used to estimate the gross storage capacity reduction that occurred between 1941 and 2002. The results of this comparison indicate a gross storage capacity reduction of approximately 42,372 acre-feet, at the lake conservation-pool elevation of 3,266.4 feet in NAVD 88 (3,265.0 feet in Central datum). By comparing preconstruction and 2003 survey data and subtracting the Kingsley Dam and borrow pit, the total estimated net volume of sediment deposited over the past 62 years is 53,347,124 cubic yards, at an annual average rate of 860,437 cubic yards per year. The approximate decrease in the net storage capacity occurring over the past 62 years is 33,066 acre-feet, at an annual average decrease of approximately 533 acre-feet per year, which has resulted in a 1.8 percent decrease in storage capacity of Lake McConaughy. The lake has accumulated most of the sediment in the original river channel and in the west end of the delta area on the upstream end of the lake.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20055040","usgsCitation":"Kress, W.H., Sebree, S.K., Littin, G.R., Drain, M.A., and Kling, M.E., 2005, Comparison of preconstruction and 2003 bathymetric and topographic surveys of Lake McConaughy, Nebraska: U.S. Geological Survey Scientific Investigations Report 2005-5040, 27 p., https://doi.org/10.3133/sir20055040.","productDescription":"27 p.","costCenters":[],"links":[{"id":192728,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":394047,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_72215.htm"},{"id":6664,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/sir2005-5040/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nebraska","otherGeospatial":"Lake McConaughy","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.01080322265624,\n 41.192089674364105\n ],\n [\n -101.65374755859375,\n 41.192089674364105\n ],\n [\n -101.65374755859375,\n 41.31701278537454\n ],\n [\n -102.01080322265624,\n 41.31701278537454\n ],\n [\n -102.01080322265624,\n 41.192089674364105\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae2ae","contributors":{"authors":[{"text":"Kress, Wade H.","contributorId":100475,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":282933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sebree, Sonja K.","contributorId":36622,"corporation":false,"usgs":true,"family":"Sebree","given":"Sonja","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":282932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":282929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drain, Michael A.","contributorId":29526,"corporation":false,"usgs":true,"family":"Drain","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":282930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kling, Michael E.","contributorId":35409,"corporation":false,"usgs":true,"family":"Kling","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":282931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}