Since 2005, spring hatched young-of-year (YOY) smallmouth bass in Pennsylvania reaches of the Susquehanna River have experienced above-normal mortality when summertime streamflows are near or lower than normal. Stress factors include, but are not limited to, low dissolved oxygen and elevated water temperatures during times critical for survival and development (critical period is May 1 through July 31). At this time (2010), widespread disease and mortality are believed to be more prevalent for YOY smallmouth bass in the Susquehanna River Basin than in the Delaware or Allegheny River Basins.
\nThe U.S. Geological Survey began a study in 2008 to investigate water temperature and dissolved oxygen as possible stressors to the YOY smallmouth bass. Monitoring began in 2008 and continued in 2009 and 2010 in selected reaches. Continuous (30-minute intervals) measurements of dissolved oxygen, water temperature, pH, and specific conductance were made during all or parts of the study at stations including, but not limited to, the Delaware River at Trenton, N.J. (station C1), Susquehanna River at Clemson Island (station C4), Juniata River at Newport, Pa. (station C5), Juniata River at Howe Township Park (station C6), Susquehanna River at Harrisburg, Pa. (station C8), and Allegheny River at Acmetonia, Pa. (station C10). At stations C1, C5, and C8, streamflow data also were collected. Streamflow data were not collected at stations C4, C6, and C10; therefore, data from nearby streamgages on the Susquehanna River at Sunbury, Pa. (station N8), the Juniata River at Newport, Pa (station C5), and the Allegheny River at Natrona, Pa. (station C9), were used to represent flow conditions at these stations.
\nStreamflow during the critical period of each year influenced dissolved-oxygen concentrations and water temperature, and was associated with the incidence of disease in YOY smallmouth bass. During the critical period of 2009, station C8 had a median daily streamflow of 26,300 cubic feet per second (ft3/s), approximately two times higher than for the critical periods in 2008 and 2010. Diseased YOY smallmouth bass were captured at only 3 sites in 2009 but 19 sites in 2008 and 28 sites in 2010.
\nDuring relatively low streamflow in the critical periods of 2008 and 2010, dissolved-oxygen concentrations also were lower (more stressful to aquatic life) than in 2009. During the critical period, median daily minimum dissolved-oxygen concentrations in main-channel habitat of the Susquehanna River at station C8 were lower in 2008 and 2010 by 1.2 milligrams per liter (mg/L) and 1.5 mg/L, respectively, in comparison to the median daily minimum concentrations in 2009. Despite the year-to-year differences in dissolved oxygen, results of a comparison of data for station C8 from each year of the study period with historical data from 1974–79 indicate daily minimum dissolved-oxygen concentrations in all 3 years of the study were significantly lower than those from the historical dataset (p-values less than 0.05). Although lower streamflows for critical periods of 2008–10 may help explain statistical differences in dissolved oxygen between the two time periods, other factors such as long-term streamwater warming trends also may play a role.
\nMedian daily minimum dissolved-oxygen concentration in the microhabitat of the Susquehanna River at Clemson Island (station C4) was 1.6 mg/L lower in 2008 than 2009. No data were collected at station C4 in 2010. For the microhabitat of the Juniata River near Howe Township Park (station C6), median daily minimum dissolved-oxygen concentrations were about 0.6 mg/L lower in 2008 than in 2010. At station C6, no data were collected in 2009.
\nNighttime concentrations of dissolved oxygen in microhabitats at stations C4 and C6 were at times lower than the 5.0-mg/L criterion established by the U.S. Environmental Protection Agency for early life stages of warm-water fish. The most frequent occurrence of dissolved oxygen less than 5.0 mg/L was at station C4 (31 of 92 days in the critical period of 2008). The longest duration that dissolved oxygen was lower than 5.0 mg/L was 8.5 hours (station C4; 23:30 on June 10, 2008, to 08:00 on June 11, 2008).
\nMedian daily maximum water temperatures in the main channel of the Susquehanna River at station C8 were 4.0 degrees Celsius (°C) higher in 2008 and 4.3°C warmer in 2010 than in 2009 during the critical periods. At station C8, the water temperatures during the critical periods of all 3 years were significantly warmer (p-values <0.05) than during the critical periods of 1974–79. Year-to-year water-temperature differences in the main-channel habitat of the Juniata River at station C5 were slightly less than year-to-year differences in the Susquehanna River at station C8. During the critical periods, the water temperature at station C5 was 3.5°C warmer in 2008 and 3.3°C warmer in 2010 than in 2009. These results are consistent with warming trends documented in other streams of the northeastern United States with much more robust water-temperature datasets.
\nFor the critical period of each year, dissolved oxygen in the Susquehanna River at station C8 typically was 1.5 to 3.0 mg/L lower than in the Delaware River at station C1 and the Allegheny River at station C10. Median daily maximum water temperatures during the critical period of each year ranged from 1.6 to 2.7°C warmer at station C8 than at stations C1 and C10.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121019","collaboration":"Prepared in cooperation with the Pennsylvania Fish and Boat Commission and the Pennsylvania Department of Environmental Protection","usgsCitation":"Chaplin, J.J., and Crawford, J.K., 2012, Streamflow and water-quality monitoring in response to young-of-year smallmouth bass (micropterus dolomieu) mortality in the Susquehanna River and major tributaries, with comparisons to the Delaware and Allegheny Rivers, Pennsylvania, 2008-10: U.S. Geological Survey Open-File Report 2012-1019, vi, 26 p.; Appendices; Electronic copies: Appendixes 1 and 2, https://doi.org/10.3133/ofr20121019.","productDescription":"vi, 26 p.; Appendices; Electronic copies: Appendixes 1 and 2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ad7e4b08c986b31cb4f","contributors":{"authors":[{"text":"Chaplin, Jeffrey J. 0000-0002-0617-5050 jchaplin@usgs.gov","orcid":"https://orcid.org/0000-0002-0617-5050","contributorId":147,"corporation":false,"usgs":true,"family":"Chaplin","given":"Jeffrey","email":"jchaplin@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":462540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, J. Kent","contributorId":54176,"corporation":false,"usgs":true,"family":"Crawford","given":"J.","email":"","middleInitial":"Kent","affiliations":[],"preferred":false,"id":462541,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70009697,"text":"sir20115236 - 2012 - An analytical method for predicting postwildfire peak discharges","interactions":[],"lastModifiedDate":"2012-03-09T18:33:47","indexId":"sir20115236","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5236","title":"An analytical method for predicting postwildfire peak discharges","docAbstract":"An analytical method presented here that predicts postwildfire peak discharge was developed from analysis of paired rainfall and runoff measurements collected from selected burned basins. Data were collected from 19 mountainous basins burned by eight wildfires in different hydroclimatic regimes in the western United States (California, Colorado, Nevada, New Mexico, and South Dakota). Most of the data were collected for the year of the wildfire and for 3 to 4 years after the wildfire. These data provide some estimate of the changes with time of postwildfire peak discharges, which are known to be transient but have received little documentation. The only required inputs for the analytical method are the burned area and a quantitative measure of soil burn severity (change in the normalized burn ratio), which is derived from Landsat reflectance data and is available from either the U.S. Department of Agriculture Forest Service or the U.S. Geological Survey. The method predicts the postwildfire peak discharge per unit burned area for the year of a wildfire, the first year after a wildfire, and the second year after a wildfire. It can be used at three levels of information depending on the data available to the user; each subsequent level requires either more data or more processing of the data. Level 1 requires only the burned area. Level 2 requires the burned area and the basin average value of the change in the normalized burn ratio. Level 3 requires the burned area and the calculation of the hydraulic functional connectivity, which is a variable that incorporates the sequence of soil burn severity along hillslope flow paths within the burned basin.\r\nMeasurements indicate that the unit peak discharge response increases abruptly when the 30-minute maximum rainfall intensity is greater than about 5 millimeters per hour (0.2 inches per hour). This threshold may relate to a change in runoff generation from saturated-excess to infiltration-excess overland flow. The threshold value was about 7.6 millimeters per hour for the year of the wildfire and the first year after the wildfire, and it was about 11.1 millimeters per hour for the second year after the wildfire.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115236","usgsCitation":"Moody, J.A., 2012, An analytical method for predicting postwildfire peak discharges: U.S. Geological Survey Scientific Investigations Report 2011-5236, vii, 29 p.; Appendices, https://doi.org/10.3133/sir20115236.","productDescription":"vii, 29 p.; Appendices","onlineOnly":"Y","costCenters":[{"id":145,"text":"Branch of Regional Research-Central Region","active":false,"usgs":true}],"links":[{"id":204874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5236.png"},{"id":204873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5236/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California;Colorado;Nevada;New Mexico;South Dakota","city":"Los Alamos;Boulder;Denver","otherGeospatial":"San Dimas;Galena;Bear Gulch;Buffalo Creek;Spring Creek;Cerro Grande;Bobcat Gulch;Jug Gulch;Fourmile Canyon","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f8e4b0c8380cd48570","contributors":{"authors":[{"text":"Moody, John A. 0000-0003-2609-364X jamoody@usgs.gov","orcid":"https://orcid.org/0000-0003-2609-364X","contributorId":771,"corporation":false,"usgs":true,"family":"Moody","given":"John","email":"jamoody@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":356870,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70009696,"text":"fs20123026 - 2012 - Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:20:42","indexId":"fs20123026","displayToPublicDate":"2012-03-09T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3026","title":"Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas","docAbstract":"Since December 2005, the U.S. Geological Survey, in cooperation with the City of Houston, Texas, has been assessing the quality of the water flowing into Lake Houston. Continuous in-stream water-quality monitors measured streamflow and other physical water quality properties at stations in Spring Creek near Spring, Tex., and East Fork San Jacinto River near New Caney, Tex. Additionally, discrete water-quality samples were periodically collected on these tributaries and analyzed for selected constituents of concern. Data from the discrete water-quality samples collected during 2005-9, in conjunction with the real-time streamflow data and data from the continuous in-stream water-quality monitors, provided the basis for developing regression equations for the estimation of concentrations of water-quality constituents of these source watersheds to Lake Houston. The output of the regression equations are available through the interactive National Real-Time Water Quality Web site (http://nrtwq.usgs.gov).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123026","usgsCitation":"Lee, M.T., 2012, Methods for estimating concentrations and loads of selected constituents in tributaries to Lake Houston near Houston, Texas: U.S. Geological Survey Fact Sheet 2012-3026, 4 p., https://doi.org/10.3133/fs20123026.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2005-12-01","temporalEnd":"2009-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":204875,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3026.gif"},{"id":204872,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3026/","linkFileType":{"id":5,"text":"html"}}],"scale":"602933","projection":"Universal Transverse Mercator","country":"United States","state":"Texas","city":"Houston, New Caney, Spring","otherGeospatial":"East Fork San Jacinto River, Lake Houston, Spring Creek,","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,30 ], [ -96,31 ], [ -95,31 ], [ -95,30 ], [ -96,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a55b2e4b0c8380cd6d276","contributors":{"authors":[{"text":"Lee, Michael T. 0000-0002-8260-8794 mtlee@usgs.gov","orcid":"https://orcid.org/0000-0002-8260-8794","contributorId":4228,"corporation":false,"usgs":true,"family":"Lee","given":"Michael","email":"mtlee@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70009636,"text":"sir20125022 - 2012 - Quality of water in the White River and Lake Tapps, Pierce County, Washington, May-December 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:42","indexId":"sir20125022","displayToPublicDate":"2012-03-05T09:10:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5022","title":"Quality of water in the White River and Lake Tapps, Pierce County, Washington, May-December 2010","docAbstract":"The White River and Lake Tapps are part of a hydropower system completed in 1911–12. The system begins with a diversion dam on the White River that routes a portion of White River water into the southeastern end of Lake Tapps, which functioned as a storage reservoir for power generation. The stored water passed through the hydroelectric facilities at the northwestern end of the lake and returned to the White River through the powerhouse tailrace. Power generation ceased in January 2004, which altered the hydrology of the system by reducing volumes of water diverted out of the river, stored, and released through the powerhouse. This study conducted from May to December 2010 created a set of baseline data collected under a new flow regime for selected reaches of the White River, the White River Canal (Inflow), Lake Tapps Diversion (Tailrace) at the powerhouse, and Lake Tapps.
\nThree sites, one on the White River at Headworks, one on the White River at R Street, and one on the Tailrace, were equipped for continuous recording of water-quality data, and three sites (Headworks, White River Canal Inflow, and Tailrace) were sampled for discrete water-quality data. Nine lake sites were measured for physical and water-quality properties and samples were collected for analyses of nutrients, suspended solids, and fecal-coliform bacteria concentrations. Samples from the lake also were analyzed for concentrations of chlorophyll a and organic chemicals.
\nDiscrete samples indicated that water from the White River, White River Canal Inflow, and Tailrace sites generally was turbid, warm, chemically dilute, and well-oxygenated. Exceptions occurred at the sites when flow to the White River Canal was suspended or when little or no flow was released from the lake into the Tailrace. The quality of physical properties and concentrations in water measured continuously at the three sites generally was good and met the freshwater criteria designated by Washington State Department of Ecology for recreational and aquatic-life uses, with several exceptions. The 7-day average of daily maximum temperatures (7–DADMax) was greater than the freshwater aquatic life criterion of 16 degrees Celsius (°C) for core summer salmonid habitat on 6 days at the Headworks site and 37 days at the R-Street site during the study. The 7-DADMax temperatures were greater than the 13°C criterion for spawning, rearing, and incubation on 6 days at the Headworks site and 20 days at the R-Street site. The freshwater aquatic life criterion for dissolved oxygen of 9.5 milligrams per liter (mg/L) for core summer salmonid habitat was not met at the Headworks and R-Street sites for periods during July and August 2010. Exceptions also occurred at the Headworks site for measurements of pH, which were greater than the aquatic life upper limit of 8.5 pH units during July 2010. Aquatic life pH criteria were not met at the Tailrace site during June, July, and August 2010, when pH was greater than 8.5 pH units, and during August 2010 when pH decreased to less than 6.5 pH units.
\nLake Tapps water near the surface was relatively clear, warm, and well oxygenated. The clearest water of the nine lake sites was at the Deep site with a median Secchi disk transparency measurement of 6.05 m (meters), which represents a two- to six-fold increase over historical measurements of transparency at this location. Median water temperatures were 18.2–18.9°C and maximums were from 22.9–25.0°C. Median dissolved oxygen concentrations were greater than 8.42 mg/L and minimums generally were not lower than 7.4 mg/L.
\nBy early July 2010, weak thermal stratification developed at most lake sites into at least a warm surface layer overlying a small thermocline. A well-defined hypolimnion developed below the thermocline only at the Deep site. With the development of thermal stratification, hypolimnion water became anoxic at several sites (Deep, Tapps Island, Snag Island, and Lake Outlet). By late September 2010, an anoxic layer about 15 m thick had formed in the hypolimnion of the Deep site. Mixing during autumn overturn in late November re-oxygenated the water column of all the sites with about 10–12 mg/L of dissolved oxygen.
\nOn the basis of pH and specific conductance measurements, Lake Tapps water is pH neutral and chemically dilute. Median pH values for water in the epilimnion and the hypolimnion ranged from 6.84 to 7.64 pH units and maximums did not exceed 7.8 pH units at any site. Median specific conductance was typically less than 70 microsiemens per centimeter at 25°C for the epilimnion and the hypolimnion.
\nConcentrations of nutrients and chlorophyll a in Lake Tapps were low. At most of the sites and in most of the samples from the epilimnion, total phosphorus concentrations were less than the Washington State Department of Ecology phosphorus criterion of 0.01 mg/L for maintaining oligotrophic conditions. Median concentrations of total nitrogen (unfiltered water) ranged from about 0.14 mg/L (Deep, Tapps Island, and Dike 2B sites) to about 0.18 mg/L (Allan Yorke and Lake Inlet sites). Chlorophyll a concentrations were low with median concentrations of 2.16 micrograms per liter (mg/L) or less. The majority of chlorophyll a concentrations were well below the Oregon Department of Environmental Quality action level of 10 mg/L.
\nUsing the Carlson Trophic-Status Index and average measures of transparency, chlorophyll a, and total phosphorus data from this study, Lake Tapps generally fits within the oligotrophic classification, but with a few exceptions. At Allan Yorke, Lake Inlet, and Southeast Arm sites, the chlorophyll a and total phosphorus indexes of nearly 40 approach the upper limit of oligotrophic conditions. In addition, average concentrations of total phosphorus at Lake Inlet and Southeast Arm are at Nürnberg's (1996) threshold concentration of 0.01 mg/L, which suggests a slight tendency towards mesotrophic conditions at these two sites during summer July–September.
\nOn the basis of epilimnetic nitrogen to phosphorus concentration ratios of greater than 17, Lake Tapps primary production is phosphorus limited at all but two study sites. At the Lake Inlet and Southeast Arm sites, ratios of 15 and 16, respectively, for the summer period suggest either nitrogen or phosphorus (or both) may limit algal growth.
\nWater samples collected at the Allan Yorke, Snag Island, and Lake Outlet study sites were screened for the presence of more than 250 organic chemicals. A total of 14 compounds were detected in trace amounts (or determined to be present) at one or more of the 3 sites. The Allan Yorke site had 9 detections, the Snag Island site had 10 detections, and the Lake Outlet site had 5 detections of compounds mostly belonging to the group of wastewater indicator chemicals. Compounds detected (or with verified presence) at all three sites included the herbicide 2,4-D, the insecticide and mosquito repellant DEET, the herbicide fluridone used for Eurasian watermilfoil eradication, and the herbicide prometon. The largest concentrations of these compounds were in samples from the Allan Yorke site; the lowest concentrations were from the Lake Outlet site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125022","collaboration":"Prepared in cooperation with Cascade Water Alliance","usgsCitation":"Embrey, S., Wagner, R.J., Huffman, R., Vanderpool-Kimura, A., and Foreman, J., 2012, Quality of water in the White River and Lake Tapps, Pierce County, Washington, May-December 2010: U.S. Geological Survey Scientific Investigations Report 2012-5022, viii, 60 p.; Appendices, https://doi.org/10.3133/sir20125022.","productDescription":"viii, 60 p.; Appendices","numberOfPages":"118","temporalStart":"2010-05-01","temporalEnd":"2010-12-31","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":204805,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5022.jpg"},{"id":204802,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5022/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","county":"Pierce","otherGeospatial":"White River;Lake Tapps","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a916de4b0c8380cd80281","contributors":{"authors":[{"text":"Embrey, S.S.","contributorId":8448,"corporation":false,"usgs":true,"family":"Embrey","given":"S.S.","affiliations":[],"preferred":false,"id":356792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, R. J.","contributorId":37318,"corporation":false,"usgs":true,"family":"Wagner","given":"R.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huffman, R.L.","contributorId":44956,"corporation":false,"usgs":true,"family":"Huffman","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":356795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderpool-Kimura, A. M.","contributorId":95197,"corporation":false,"usgs":true,"family":"Vanderpool-Kimura","given":"A. M.","affiliations":[],"preferred":false,"id":356796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, J.R.","contributorId":15344,"corporation":false,"usgs":true,"family":"Foreman","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":356793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70009618,"text":"sir20125002 - 2012 - Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon","interactions":[],"lastModifiedDate":"2023-06-22T16:23:22.162624","indexId":"sir20125002","displayToPublicDate":"2012-03-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5002","title":"Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon","docAbstract":"The Mosier area lies along the Columbia River in northwestern Wasco County between the cities of Hood River and The Dalles, Oregon. Major water uses in the area are irrigation, municipal supply for the city of Mosier, and domestic supply for rural residents. The primary source of water is groundwater from the Columbia River Basalt Group (CRBG) aquifers that underlie the area. Concerns regarding this supply of water arose in the mid-1970s, when groundwater levels in the orchard tract area began to steadily decline. In the 1980s, the Oregon Water Resources Department (OWRD) conducted a study of the aquifer system, which resulted in delineation of an administrative area where parts of the Pomona and Priest Rapids aquifers were withdrawn from further appropriations for any use other than domestic supply. Despite this action, water levels continued to drop at approximately the same, nearly constant annual rate of about 4 feet per year, resulting in a current total decline of between 150 and 200 feet in many wells with continued downward trends. In 2005, the Mosier Watershed Council and the Wasco Soil and Water Conservation District began a cooperative investigation of the groundwater system with the U.S. Geological Survey. The objectives of the study were to advance the scientific understanding of the hydrology of the basin, to assess the sustainability of the water supply, to evaluate the causes of persistent groundwater-level declines, and to evaluate potential management strategies. An additional U.S. Geological Survey objective was to advance the understanding of CRBG aquifers, which are the primary source of water across a large part of Oregon, Washington, and Idaho. In many areas, significant groundwater level declines have resulted as these aquifers were heavily developed for agricultural, municipal, and domestic water supplies. Three major factors were identified as possible contributors to the water-level declines in the study area: (1) pumping at rates that are not sustainable, (2) well construction practices that have resulted in leakage from aquifers into springs and streams, and (3) reduction in aquifer recharge resulting from long-term climate variations. Historical well construction practices, specifically open, unlined, uncased boreholes that result in cross-connecting (or commingling) multiple aquifers, allow water to flow between these aquifers. Water flowing along the path of least resistance, through commingled boreholes, allows the drainage of aquifers that previously stored water more efficiently. The study area is in the eastern foothills of the Cascade Range in north central Oregon in a transitional zone between the High Cascades to the west and the Columbia Plateau to the east. The 78-square mile (mi2) area is defined by the drainages of three streams - Mosier Creek (51.8 mi2), Rock Creek (13.9 mi2), and Rowena Creek (6.9 mi2) - plus a small area that drains directly to the Columbia River.The three major components of the study are: (1) a 2-year intensive data collection period to augment previous streamflow and groundwater-level measurements, (2) precipitation-runoff modeling of the watersheds to determine the amount of recharge to the aquifer system, and (3) groundwater-flow modeling and analysis to evaluate the cause of groundwater-level declines and to evaluate possible water resource management strategies. Data collection included the following: 1. Water-level measurements were made in 37 wells. Bi-monthly or quarterly measurements were made in 30 wells, and continuous water-level monitoring instruments were installed in 7 wells. The measurements principally were made to capture the seasonal patterns in the groundwater system, and to augment the available long-term record. 2. Groundwater pumping was measured, reported, or estimated from irrigation, municipal and domestic wells. Flowmeters were installed on 74 percent of all high-capacity irrigation wells in the study area. 3. Borehole geophysical data were collected from a known commingling well. These data measured geologic properties and vertical flow through the well. 4. Streamflow measurements were made in Rock, Rowena, and Mosier Creeks. A long-term recording stream-gaging station was reestablished on Mosier Creek to provide a continuous record of streamflow. Streamflow measurements also were made along the creeks periodically to evaluate seasonal patterns of exchange between streams and the groundwater system. Major findings from the study include: 1. Annual average precipitation ranges from 20 to 54 inches across the study area with an average value of about 30 inches. Based on rainfall-runoff modeling, about one-third of this water infiltrates into the aquifer system. 2. Currently, about 3 percent of the water infiltrated into the groundwater system is extracted for municipal, agricultural, and rural residential use. The remainder of the water flows through the aquifer system, discharging into local streams and the Columbia River. About 80 percent of recent pumping supports crop production. The city of Mosier public supply wells account for about 10 percent of total pumping, with the remaining 10 percent being pumped from the private wells of rural residents. 3. Groundwater-flow simulation results indicate that leakage through commingling wells is a significant and likely the dominant cause of water level declines. Leakage patterns can be complex, but most of the leaked water likely flows out the CRBG aquifer system through very permeable sediments into Mosier Creek and its tributary streams in the OWRD administrative area. Model-derived estimates attribute 80-90 percent of the declines to commingling, with pumping accounting for the remaining 10-20 percent. Although decadal trends in precipitation have occurred, associated changes in aquifer recharge are likely not a significant contributor to the current water level declines. 4. As many as 150 wells might be commingling. To evaluate whether or not the local combination of geology and well construction have resulted in aquifer commingling at a particular well, the well needs to be tested by measuring intraborehole flow. During geophysical testing of one known commingling well, the flow rate through the well between aquifers ranged between 70 and 135 gallons per minute (11-22 percent of total annual pumping in the study area). Historically, when aquifer water levels were 150-200 feet higher, this flow rate would have been correspondingly higher. 5. Because aquifer commingling through well boreholes is likely the dominant cause of aquifer declines, flow simulations were conducted to evaluate the benefit of repairing wells in specified locations and the benefit of recharging aquifers using diverted flow from study area creeks. As part of this analysis, maps were generated that show which areas are more vulnerable to commingling. These maps indicate that the value of repairing wells in the area generally coincident with the OWRD administrative area is higher than in areas farther upstream in the watershed. Simulation results also indicate that artificial recharge of the aquifers using diverted creek water will not significantly improve water levels in the aquifer system unless at least some commingling wells are repaired first. Repairs would entail construction of wells in a manner that prevents commingling of multiple aquifers. The value of artificially recharging the aquifers improves as more wells are repaired because the aquifer system more efficiently stores water.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125002","collaboration":"Prepared in cooperation with the Wasco County Soil and Water Conservation District?","usgsCitation":"Burns, E., Morgan, D.S., Lee, K.K., Haynes, J.V., and Conlon, T.D., 2012, Evaluation of long-term water-level declines in basalt aquifers near Mosier, Oregon: U.S. Geological Survey Scientific Investigations Report 2012-5002, viii, 62 p.; Appendices; Downloadable GIS Data, Table A3, and Appendices A-F, https://doi.org/10.3133/sir20125002.","productDescription":"viii, 62 p.; Appendices; Downloadable GIS Data, Table A3, and Appendices A-F","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":204764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5002/","linkFileType":{"id":5,"text":"html"}},{"id":204766,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5002.jpg"}],"datum":"North American Datum of 1927","country":"United States","state":"Oregon","city":"Mosier","otherGeospatial":"Mosier Creek, Rock Creek, Rowena Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.55,45.483333333333334 ], [ -121.55,45.75 ], [ -121.16666666666667,45.75 ], [ -121.16666666666667,45.483333333333334 ], [ -121.55,45.483333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0c92e4b0c8380cd52bdb","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":84802,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":310,"text":"Geology, Minerals, Energy and Geophysics Science Center","active":false,"usgs":true}],"preferred":false,"id":356736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, David S.","contributorId":73181,"corporation":false,"usgs":true,"family":"Morgan","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":356735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Karl K.","contributorId":41050,"corporation":false,"usgs":true,"family":"Lee","given":"Karl","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":356734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70007432,"text":"sir20125024 - 2012 - Lateral and vertical channel movement and potential for bed-material movement on the Madison River downstream from Earthquake Lake, Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:43","indexId":"sir20125024","displayToPublicDate":"2012-02-15T09:45:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5024","title":"Lateral and vertical channel movement and potential for bed-material movement on the Madison River downstream from Earthquake Lake, Montana","docAbstract":"The 1959 Hebgen Lake earthquake caused a massive landslide (Madison Slide) that dammed the Madison River and formed Earthquake Lake. The U.S. Army Corps of Engineers excavated a spillway through the Madison Slide to permit outflow from Earthquake Lake. In June 1970, high streamflows on the Madison River severely eroded the spillway channel and damaged the roadway embankment along U.S. Highway 287 downstream from the Madison Slide. Investigations undertaken following the 1970 flood events concluded that substantial erosion through and downstream from the spillway could be expected for streamflows greater than 3,500 cubic feet per second (ft3/s). Accordingly, the owners of Hebgen Dam, upstream from Earthquake Lake, have tried to manage releases from Hebgen Lake to prevent streamflows from exceeding 3,500 ft3/s measured at the U.S. Geological Survey (USGS) gaging station 0638800 Madison River at Kirby Ranch, near Cameron, Montana.
\r\nManagement of flow releases from Hebgen Lake to avoid exceeding the threshold streamflow at USGS gaging station 06038800 is difficult, and has been questioned for two reasons. First, no road damage was reported downstream from the Earthquake Lake outlet in 1993, 1996, and 1997 when streamflows exceeded the 3,500-ft3/s threshold. Second, the 3,500-ft3/s threshold generally precludes releases of higher flows that could be beneficial to the blue-ribbon trout fishery downstream in the Madison River.
\r\nIn response to concerns about minimizing streamflow downstream from Earthquake Lake and the possible armoring of the spillway, the USGS, in cooperation with the Madison River Fisheries Technical Advisory Committee (MADTAC; Bureau of Land Management; Montana Department of Environmental Quality; Montana Fish, Wildlife and Parks; PPL-Montana; U.S. Department of Agriculture Forest Service - Gallatin National Forest; and U.S. Fish and Wildlife Service), conducted a study to determine movement of the Madison River channel downstream from Earthquake Lake and to investigate the potential for bed material movement along the same reach. The purpose of this report is to present information about the lateral and vertical movement of the Madison River from 1970 to 2006 for a 1-mile reach downstream from Earthquake Lake and for Raynolds Pass Bridge, and to provide an analysis of the potential for bed-material movement so that MADTAC can evaluate the applicability of the previously determined threshold streamflow for initiation of damaging erosion.
\r\nAs part of this study channel cross sections originally surveyed by the USGS in 1971 were resurveyed in 2006. Incremental channel-movement distances were determined by comparing the stream centerlines from 14 aerial photographs taken between 1970 and 2006. Depths of channel incision and aggregation were determined by comparing the 2006 and 1971 cross-section and water-surface data. Particle sizes of bed and bank materials were measured in 2006 and 2008 using the pebble-count method and sieve analyses. A one-dimensional hydraulic-flow model (HEC-RAS) was used to calculate mean boundary-shear stresses for various streamflows; these calculated boundary-shear stresses were compared to calculated critical-shear stresses for the bed materials to determine the potential for bed-material movement.
\r\nA comparison of lateral channel movement distances with annual peak streamflows shows that streamflows higher than the 3,500-ft3/s threshold were followed by lateral channel movement except from 1991 to 1992 and possibly from 1996 to 1997. However, it was not possible to discern whether the channel moved gradually or suddenly, or in response to one peak flow, to several peak flows, or to sustained flows. The channel moved between 2002 and 2005 even when streamflows were less than the threshold streamflow of 3,500 ft3/s.
\r\nComparisons of cross sections and aerial photographs show that the channel has moved laterally and incised and aggraded to varying degrees. The channel has developed meander bends and has incised as much as 5–12 feet (ft) through the upstream part of the Madison Slide (cross sections 1400–800). Near cross section 800, the stream has eroded into the steep right bank between the stream and the road where fill was mechanically placed after 1970. Channel movement also was noted downstream from the Madison Slide.
\r\nNear Raynolds Pass Bridge, about 3 miles (mi) downstream from Earthquake Lake, elevations across the channel have changed by -1.4 ft to +1.9 ft, but these changes were local in nature and could represent a few rocks or depressions in the bed. Overall, it does not appear that the materials eroded from the Madison Slide are causing aggradation in the subreach near the Raynolds Pass Bridge.
\r\nComparisons of critical shear stresses to mean boundary-shear stresses indicate that the D50 particle sizes (median size) along the right side of the bed between cross sections 400 and 500 and along the right side of the bed between cross sections 1300 and 1400 could move at the threshold streamflow. In contrast, most of the D84 particle sizes at those two locations probably will not move at the threshold streamflow. This lack of movement for the larger particles at the threshold streamflow could lead to further armoring of the bed as the D50 and smaller-sized particles are removed from the bed and transported downstream.
\r\nThe Shields parameter values from 0.04 to 0.08 that were used to calculate critical shear stresses could be conservative for a high-gradient stream such as the Madison. A higher, less conservative, Shields parameter would result in higher critical shear stresses, meaning that higher streamflows would be required to move material than those reported herein. In addition, because materials in the channel thalweg are exposed to higher boundary-shear stresses than the materials along the sides of the channel, larger, more erosion-resistant materials likely exist in the deeper parts of the channel where high-flow depths and velocities prevented sediment sampling. Movement of these materials might require higher critical shear stresses than estimated in this report. Characterization of sediment sizes in the center of the stream and observation of bed-material movement for a range of streamflows could provide information to help refine the Shields parameter and critical-shear stress estimates for bed materials in the Madison River downstream from Earthquake Lake. Furthermore, resurveying cross sections and water-surface elevations more frequently (either annually or after high streamflows) could better define the relation between streamflow and lateral and vertical channel movement.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125024","collaboration":"Prepared in cooperation with the Madison River Fisheries Technical Advisory Committee Bureau of Land Management Montana Department of Environmental Quality Montana Fish, Wildlife and Parks PPL-Montana U.S. Department of Agriculture ? Gallatin National Forest U.S. Fish and Wildlife Service","usgsCitation":"Chase, K.J., and McCarthy, P., 2012, Lateral and vertical channel movement and potential for bed-material movement on the Madison River downstream from Earthquake Lake, Montana: U.S. Geological Survey Scientific Investigations Report 2012-5024, vii, 38 p.; Appendix; Downloads Directory, https://doi.org/10.3133/sir20125024.","productDescription":"vii, 38 p.; Appendix; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":116346,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2012_5024.gif"},{"id":115801,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5024/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Earthquake Lake;Madison River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.6,44.75 ], [ -111.6,44.9 ], [ -111.26666666666667,44.9 ], [ -111.26666666666667,44.75 ], [ -111.6,44.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a456ee4b0c8380cd672f0","contributors":{"authors":[{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":356386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Peter 0000-0002-2396-7463 pmccarth@usgs.gov","orcid":"https://orcid.org/0000-0002-2396-7463","contributorId":2504,"corporation":false,"usgs":true,"family":"McCarthy","given":"Peter","email":"pmccarth@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356387,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007393,"text":"sir20125018 - 2012 - Hydrologic conditions, groundwater quality, and analysis of sink hole formation in the Albany area of Dougherty County, Georgia, 2009","interactions":[],"lastModifiedDate":"2017-01-18T12:41:10","indexId":"sir20125018","displayToPublicDate":"2012-02-15T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5018","title":"Hydrologic conditions, groundwater quality, and analysis of sink hole formation in the Albany area of Dougherty County, Georgia, 2009","docAbstract":"The U.S. Geological Survey, in cooperation with the Albany Water, Gas, and Light Commission has conducted water resources investigations and monitored groundwater conditions and availability in the Albany, Georgia, area since 1977. This report presents an overview of hydrologic conditions, water quality, and groundwater studies in the Albany area of Dougherty County, Georgia, during 2009. Historical data also are presented for comparison with 2009 data. During 2009, groundwater-level data were collected in 29 wells in the Albany area to monitor water-level trends in the surficial, Upper Floridan, Claiborne, Clayton, and Providence aquifers. Groundwater-level data from 21 of the 29 wells indicated an increasing trend during 2008–09. Five wells show no trend due to lack of data and three wells have decreasing trends. Period-of-record water levels (period of record ranged between 1957–2009 and 2003–2009) declined slightly in 10 wells and increased slightly in 4 wells tapping the Upper Floridan aquifer; declined in 1 well and increased in 2 wells tapping the Claiborne aquifer; declined in 4 wells and increased in 2 wells tapping the Clayton aquifer; and increased in 1 well tapping the Providence aquifer. Analyses of groundwater samples collected during 2009 from 12 wells in the Upper Floridan aquifer in the vicinity of a well field located southwest of Albany indicate that overall concentrations of nitrate plus nitrite as nitrogen increased slightly from 2008 in 8 wells. A maximum concentration of 12.9 milligrams per liter was found in a groundwater sample from a well located upgradient from the well field. The distinct difference in chemical constituents of water samples collected from the Flint River and samples collected from wells located in the well-field area southwest of Albany indicates that little water exchange occurs between the Upper Floridan aquifer and Flint River where the river flows adjacent to, but downgradient of, the well field. Water-quality data collected during 2008 from two municipal wells located in northern Albany and downgradient from a hazardous waste site indicate low-level concentrations of pesticides in one of the wells; however, no pesticides were detected in samples collected during 2009. Detailed geologic cross sections were used to create a three-dimensional, hydrogeologic diagram of the well field southwest of Albany in order to examine the occurrence of subsurface features conducive to sinkhole formation. Monitored groundwater-level data were used to assess the possible relations between sinkhole formation, precipitation, and water levels in the Upper Floridan aquifer. Although the water levels in well 12L382 oscillated above and below the top of the aquifer on a regular basis between 2007 and 2009, sinkhole development did not appear to correlate directly with either well-field pumping or water levels in the Upper Floridan aquifer. Specifically, two sinkholes formed in each of the years 2003 and 2005 when water levels were almost 20 feet above the top of the aquifer during most of the year. Water-level and sinkhole-formation data continue to be collected to allow further study and analysis.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125018","collaboration":"Prepared in cooperation with the Albany Water, Gas, and Light Commission","usgsCitation":"Gordon, D.W., Painter, J.A., and McCranie, J.M., 2012, Hydrologic conditions, groundwater quality, and analysis of sink hole formation in the Albany area of Dougherty County, Georgia, 2009: U.S. Geological Survey Scientific Investigations Report 2012-5018, vii, 23 p.; Appendices, https://doi.org/10.3133/sir20125018.","productDescription":"vii, 23 p.; Appendices","startPage":"i","endPage":"60","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science 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Debbie W. 0000-0002-5195-6657 dwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":2251,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie","email":"dwarner@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCranie, John M. mccranie@usgs.gov","contributorId":4486,"corporation":false,"usgs":true,"family":"McCranie","given":"John","email":"mccranie@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":356381,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007307,"text":"sir20115235 - 2012 - Groundwater flow, quality (2007-10), and mixing in the Wind Cave National Park area, South Dakota","interactions":[],"lastModifiedDate":"2017-10-14T11:31:09","indexId":"sir20115235","displayToPublicDate":"2012-02-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5235","title":"Groundwater flow, quality (2007-10), and mixing in the Wind Cave National Park area, South Dakota","docAbstract":"A study of groundwater flow, quality, and mixing in relation to Wind Cave National Park in western South Dakota was conducted during 2007-11 by the U.S. Geological Survey in cooperation with the National Park Service because of water-quality concerns and to determine possible sources of groundwater contamination in the Wind Cave National Park area. A large area surrounding Wind Cave National Park was included in this study because to understand groundwater in the park, a general understanding of groundwater in the surrounding southern Black Hills is necessary. Three aquifers are of particular importance for this purpose: the Minnelusa, Madison, and Precambrian aquifers. Multivariate methods applied to hydrochemical data, consisting of principal component analysis (PCA), cluster analysis, and an end-member mixing model, were applied to characterize groundwater flow and mixing. This provided a way to assess characteristics important for groundwater quality, including the differentiation of hydrogeologic domains within the study area, sources of groundwater to these domains, and groundwater mixing within these domains. Groundwater and surface-water samples collected for this study were analyzed for common ions (calcium, magnesium, sodium, bicarbonate, chloride, silica, and sulfate), arsenic, stable isotopes of oxygen and hydrogen, specific conductance, and pH. These 12 variables were used in all multivariate methods. A total of 100 samples were collected from 60 sites from 2007 to 2010 and included stream sinks, cave drip, cave water bodies, springs, and wells. In previous approaches that combined PCA with end-member mixing, extreme-value samples identified by PCA typically were assumed to represent end members. In this study, end members were not assumed to have been sampled but rather were estimated and constrained by prior hydrologic knowledge. Also, the end-member mixing model was quantified in relation to hydrogeologic domains, which focuses model results on major hydrologic processes. Finally, conservative tracers were weighted preferentially in model calibration, which distributed model errors of optimized values, or residuals, more appropriately than would otherwise be the case The latter item also provides an estimate of the relative effect of geochemical evolution along flow paths in comparison to mixing. The end-member mixing model estimated that Wind Cave sites received 38 percent of their groundwater inflow from local surface recharge, 34 percent from the upgradient Precambrian aquifer, 26 percent from surface recharge to the west, and 2 percent from regional flow. Artesian springs primarily received water from end members assumed to represent regional groundwater flow. Groundwater samples were collected and analyzed for chlorofluorocarbons, dissolved gasses (argon, carbon dioxide, methane, nitrogen, and oxygen), and tritium at selected sites and used to estimate groundwater age. Apparent ages, or model ages, for the Madison aquifer in the study area indicate that groundwater closest to surface recharge areas is youngest, with increasing age in a downgradient direction toward deeper parts of the aquifer. Arsenic concentrations in samples collected for this study ranged from 0.28 to 37.1 micrograms per liter (μg/L) with a median value of 6.4 μg/L, and 32 percent of these exceeded 10 μg/L. The highest arsenic concentrations in and near the study area are approximately coincident with the outcrop of the Minnelusa Formation and likely originated from arsenic in shale layers in this formation. Sample concentrations of nitrate plus nitrite were less than 2 milligrams per liter for 92 percent of samples collected, which is not a concern for drinking-water quality. Water samples were collected in the park and analyzed for five trace metals (chromium, copper, lithium, vanadium, and zinc), the concentrations of which did not correlate with arsenic. Dye tracing indicated hydraulic connection between three water bodies in Wind Cave.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115235","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Long, A.J., Ohms, M.J., and McKaskey, J.D., 2012, Groundwater flow, quality (2007-10), and mixing in the Wind Cave National Park area, South Dakota: U.S. Geological Survey Scientific Investigations Report 2011-5235, vi, 41 p.; Tables, https://doi.org/10.3133/sir20115235.","productDescription":"vi, 41 p.; Tables","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":116390,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5235.jpg"},{"id":115794,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5235/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 103.8,43.3 ], [ 103.8,43.8 ], [ 103.3,43.8 ], [ 103.3,43.3 ], [ 103.8,43.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2da3e4b0c8380cd5bf76","contributors":{"authors":[{"text":"Long, Andrew J. 0000-0001-7385-8081 ajlong@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-8081","contributorId":989,"corporation":false,"usgs":true,"family":"Long","given":"Andrew","email":"ajlong@usgs.gov","middleInitial":"J.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":356246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ohms, Marc J.","contributorId":8613,"corporation":false,"usgs":true,"family":"Ohms","given":"Marc","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":356247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKaskey, Jonathan D.R.G.","contributorId":28000,"corporation":false,"usgs":true,"family":"McKaskey","given":"Jonathan","email":"","middleInitial":"D.R.G.","affiliations":[],"preferred":false,"id":356248,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70007324,"text":"ds632 - 2012 - Water chemistry and electrical conductivity database for rivers in Yellowstone National Park, Wyoming","interactions":[],"lastModifiedDate":"2019-05-30T16:18:46","indexId":"ds632","displayToPublicDate":"2012-02-08T10:34:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"632","title":"Water chemistry and electrical conductivity database for rivers in Yellowstone National Park, Wyoming","docAbstract":"Chloride flux has been used to estimate heat flow in volcanic environments since the method was developed in New Zealand by Ellis and Wilson (1955). The method can be applied effectively at Yellowstone, because nearly all of the water discharged from its thermal features enters one of four major rivers (the Madison, Yellowstone, Snake, and Falls Rivers) that drain the park, and thus integration of chloride fluxes from all these rivers provides a means to monitor the total heat flow from the entire Yellowstone volcanic system (Fournier and others, 1976; Fournier, 1979). Fournier (1989) summarized the results and longterm heat-flow trends from Yellowstone, and later efforts that applied the chloride inventory method to estimate heat flow were described by Ingebritsen and others (2001) and Friedman and Norton (2007). Most recently, the U.S. Geological Survey (USGS), in conjunction with the National Park Service, has provided publicly accessible reports on solute flux, based on periodic sampling at selected locations (Hurwitz and others, 2007a,b). While these studies have provided a wealth of valuable data, winter travel restrictions and the great distances between sites present significant logistical challenges and have limited collection to a maximum of 28 samples per site annually.
\nThis study aims to quantify relations between solute concentrations (especially chloride) and electrical conductivity for several rivers in Yellowstone National Park (YNP), by using automated samplers and conductivity meters. Norton and Friedman (1985) found that chloride concentrations and electrical conductivity have a good correlation in the Falls, Snake, Madison, and Yellowstone Rivers. However, their results are based on limited sampling and hydrologic conditions and their relation with other solutes was not determined. Once the correlations are established, conductivity measurements can then be used as a proxy for chloride concentrations, thereby enabling continuous heat-flow estimation on a much finer timescale and at lower cost than is currently possible with direct sampling. This publication serves as a repository for all data collected during the course of the study from May 2010 through July 2011, but it does not include correlations between solutes and conductivity or recommendations for quantification of chloride through continuous electrical conductivity measurements. This will be the object of a future document.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reson, VA","doi":"10.3133/ds632","collaboration":"In cooperation with the National Park Service","usgsCitation":"Clor, L.E., McCleskey, R.B., Huebner, M., Lowenstern, J.B., Heasler, H.P., Mahony, D.L., Maloney, T., and Evans, W.C., 2012, Water chemistry and electrical conductivity database for rivers in Yellowstone National Park, Wyoming: U.S. Geological Survey Data Series 632, Report: iv, 6 p., https://doi.org/10.3133/ds632.","productDescription":"Report: iv, 6 p.","onlineOnly":"Y","temporalStart":"2010-05-01","temporalEnd":"2011-07-31","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":686,"text":"Yellowstone Volcano Observatory","active":false,"usgs":true}],"links":[{"id":116459,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_632.gif"},{"id":115782,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/632/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16666666666667,44.083333333333336 ], [ -111.16666666666667,45.166666666666664 ], [ -109.75,45.166666666666664 ], [ -109.75,44.083333333333336 ], [ -111.16666666666667,44.083333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bc7cee4b08c986b32c630","contributors":{"authors":[{"text":"Clor, Laura E.","contributorId":94749,"corporation":false,"usgs":true,"family":"Clor","given":"Laura","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":356264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":356257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huebner, Mark A.","contributorId":27902,"corporation":false,"usgs":true,"family":"Huebner","given":"Mark A.","affiliations":[],"preferred":false,"id":356260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":356259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heasler, Henry P.","contributorId":65935,"corporation":false,"usgs":true,"family":"Heasler","given":"Henry","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":356262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahony, Dan L.","contributorId":43911,"corporation":false,"usgs":true,"family":"Mahony","given":"Dan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":356261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maloney, Tim","contributorId":70537,"corporation":false,"usgs":true,"family":"Maloney","given":"Tim","email":"","affiliations":[],"preferred":false,"id":356263,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":356258,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70007288,"text":"ofr20111280 - 2012 - Preliminary assessment of channel stability and bed-material transport in the Rogue River basin, southwestern Oregon","interactions":[],"lastModifiedDate":"2019-04-25T10:21:52","indexId":"ofr20111280","displayToPublicDate":"2012-02-02T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1280","title":"Preliminary assessment of channel stability and bed-material transport in the Rogue River basin, southwestern Oregon","docAbstract":"This report summarizes a preliminary assessment of bed-material transport, vertical and lateral channel changes, and existing datasets for the Rogue River basin, which encompasses 13,390 square kilometers (km2) along the southwestern Oregon coast. This study, conducted to inform permitting decisions regarding instream gravel mining, revealed that:
During 2010–11, the U.S. Geological Survey (USGS), in cooperation with the Texas Water Development Board, used hydrograph separation to quantify historical base flow at 11 USGS streamflow-gaging stations between water years 1966–2009 and streamflow gains and losses from two sets of synoptic measurements of streamflow and specific conductance (the first in June 2010, followed by another set in October 2010) in the upper Brazos River Basin from the New Mexico–Texas State line to Waco, Texas. The following subbasins compose the study area: Salt Fork Brazos River Basin, Double Mountain Fork Brazos River Basin, Clear Fork Brazos River Basin, North Bosque River Basin, and the Brazos River Basin (main stem) (including its tributaries). Base-flow analysis was done using historical streamflow data from 11 USGS streamflow-gaging stations in the upper Brazos River Basin to compute yearly base-flow indexes (base flow divided by total streamflow) for each station. The base-flow index was used to indicate the fraction of flow consisting of base flow on an annual basis for the period of record evaluated at each streamflow-gaging station. At nine stations there were long-term streamflow data from water years 1966–2009 (October 1965 through September 2009); at two stations slightly shorter periods of record (water years 1967–2009 and 1969–2009) were available. The median base-flow indexes were 0.16 and 0.15 at USGS streamflow-gaging stations 08082000 Salt Fork Brazos River near Aspermont, Tex., and 08080500 Double Mountain Fork Brazos River near Aspermont, Tex., respectively. The amount of the total streamflow consisting of base flow was larger at sites in the Clear Fork Brazos River Basin compared to sites in the Salt Fork Brazos River Basin or Double Mountain Fork Brazos River Basin; at USGS streamflow-gaging stations 08084000 Clear Fork Brazos River at Nugent, Tex., and at 08085500 Clear Fork Brazos River at Fort Griffin, Tex., the median base-flow indexes were 0.28 and 0.23, respectively. The largest median base-flow index for any station was 0.35 at USGS streamflow-gaging station 08091500 Paluxy River at Glen Rose, Tex. The second largest base-flow index was 0.30 at USGS streamflow-gaging station 08095000 North Bosque River near Clifton, Tex. Median base-flow indexes on the main stem of the Brazos River upstream from Possum Kingdom Lake were 0.22 at USGS streamflow-gaging station 08082500 Brazos River at Seymour, Tex., and 0.24 at USGS streamflow-gaging station 08088000 Brazos River near South Bend, Tex. The base-flow indexes for stations between Possum Kingdom Lake and Lake Granbury were 0.19 and 0.27 at USGS streamflow-gaging stations 08089000 Brazos River near Palo Pinto, Tex., and 08090800 Brazos River near Dennis, Tex., respectively. A median base-flow index of 0.19 was also measured at USGS streamflow-gaging station 08091000 Brazos River near Glen Rose, Tex., located between Lake Granbury and Lake Whitney. A Mann-Kendall trend analysis test was performed on annual base-flow index values from each of the 11 streamflow records that were analyzed. Upward trends in base-flow index values indicating increasing flows during the study period were found for USGS streamflow-gaging stations 08080500 Double Mountain Fork Brazos River near Aspermont, Tex., 08089000 Brazos River near Palo Pinto, Tex., and 08090800 Brazos River near Dennis, Tex. Flows at these three streamflow-gaging stations are regulated by reservoir releases, and additional analyses are needed before these streamflow trends can be characterized as indicative of changes in base flow over time.
\nStreamflow was measured at 66 sites from June 6–9, 2010, and at 68 sites from October 16–19, 2010, to identify reaches in the upper Brazos River Basin that were gaining or losing streamflow. Gaining reaches were identified in each of the five subbasins. The gaining reach in the Salt Fork Brazos River Basin began at USGS streamflow-gaging station 08080940 Salt Fork Brazos River at State Highway 208 near Clairemont, Tex. (site SF–6), upstream from where Duck Creek flows into the Salt Fork Brazos River and continued downstream past USGS streamflow-gaging station 08082000 Salt Fork Brazos River near Aspermont, Tex. (site SF–9), to the outlet of the basin. In the Double Mountain Fork Brazos River Basin, a gaining reach from near Post, Tex., downstream to the outlet of the basin was identified. Two gaining reaches were identified in the Clear Fork Brazos River Basin—one from near Roby, Tex., downstream to near Noodle, Tex., and second from Hawley, Tex., downstream to Nugent, Tex. Most of the North Bosque River was characterized as gaining streamflow. Streamflow gains were identified in the main stem of the Brazos River from where the Brazos River main stem forms at the confluence of the Salt Fork Brazos River and Double Mountain Fork Brazos River near Knox City, Tex., downstream to near Seymour, Tex.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115224","collaboration":"Prepared in cooperation with the Texas Water Development Board","usgsCitation":"Baldys, S., and Schalla, F.E., 2012, Base flow (1966-2009) and streamflow gain and loss (2010) of the Brazos River from the New Mexico-Texas State line to Waco, Texas (Version 1.0: Originally posted January 23, 2012; Version 1.1: June 27, 2016): U.S. Geological Survey Scientific Investigations Report 2011-5224, viii, 53 p., https://doi.org/10.3133/sir20115224.","productDescription":"viii, 53 p.","numberOfPages":"65","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1965-10-01","temporalEnd":"2010-10-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116374,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20115224.png"},{"id":115680,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5224/","linkFileType":{"id":5,"text":"html"}},{"id":325026,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5224/report/SIR2011-5224.pdf"},{"id":325027,"rank":102,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2011/5224/versionHist.txt"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Brazos River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.75,31.25 ], [ -103.75,34.666666666666664 ], [ -97.16666666666667,34.666666666666664 ], [ -97.16666666666667,31.25 ], [ -103.75,31.25 ] ] ] } } ] }","edition":"Version 1.0: Originally posted January 23, 2012; Version 1.1: June 27, 2016","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059efc7e4b0c8380cd4a450","contributors":{"authors":[{"text":"Baldys, Stanley sbaldys@usgs.gov","contributorId":3366,"corporation":false,"usgs":true,"family":"Baldys","given":"Stanley","email":"sbaldys@usgs.gov","affiliations":[],"preferred":true,"id":356028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schalla, Frank E.","contributorId":71449,"corporation":false,"usgs":true,"family":"Schalla","given":"Frank","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":356029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70007098,"text":"fs20123005 - 2012 - Watershed modeling applications in south Texas","interactions":[],"lastModifiedDate":"2016-08-08T09:29:11","indexId":"fs20123005","displayToPublicDate":"2012-01-10T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-3005","title":"Watershed modeling applications in south Texas","docAbstract":"Watershed models can be used to simulate natural and human-altered processes including the flow of water and associated transport of sediment, chemicals, nutrients, and microbial organisms within a watershed. Simulation of these processes is useful for addressing a wide range of water-resource challenges, such as quantifying changes in water availability over time, understanding the effects of development and land-use changes on water resources, quantifying changes in constituent loads and yields over time, and quantifying aquifer recharge temporally and spatially throughout a watershed.
\nThe U.S. Geological Survey (USGS), in cooperation with State and Federal agency partners, developed simulation models for several watersheds in south Texas. These models provide the capability to simulate scenarios of possible future conditions and management alternatives to help water-resource professionals with planning decisions. The program used for creating these Texas watershed models is the Hydrological Simulation Program - FORTRAN (HSPF). HSPF is one of the most comprehensive watershed modeling programs because it can simulate a variety of stream and watershed conditions with reasonable accuracy and enables flexibility in adjusting the model to simulate alternative conditions or scenarios. The HSPF model provides time-series data simulating water movement (runoff from land surfaces, infiltration of water through soil layers, flow in stream channels) and water-quality parameter values and constituent concentrations associated with the water movement at any selected location in the watershed. Time-series outputs from an HSPF simulation are continuous (for example, hourly or daily). Continuous models provide the advantage of simulating watershed processes for a full range of streamflow conditions. Continuous models can illustrate how processes that appreciably affect water-quality conditions during low flows might have relatively minor effects on water-quality conditions during high flows.
\nThis fact sheet presents an overview of six selected watershed modeling studies by the USGS and partners that address a variety of water-resource issues in south Texas. These studies provide examples of modeling applications and demonstrate the usefulness and versatility of watershed models in aiding the understanding of hydrologic systems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20123005","usgsCitation":"Pedraza, D.E., and Ockerman, D.J., 2012, Watershed modeling applications in south Texas: U.S. Geological Survey Fact Sheet 2012-3005, 4 p., https://doi.org/10.3133/fs20123005.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":116439,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2012_3005.gif"},{"id":112455,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2012/3005/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator projection, zone 14","datum":"North American Datum of 1983","country":"United States","state":"Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -101,25.75 ], [ -101,30.25 ], [ -96,30.25 ], [ -96,25.75 ], [ -101,25.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bcf76e4b08c986b32e8ed","contributors":{"authors":[{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":355821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70175236,"text":"70175236 - 2012 - Power analysis and trend detection for water quality monitoring data. An application for the Greater Yellowstone Inventory and Monitoring Network","interactions":[],"lastModifiedDate":"2016-08-31T13:55:37","indexId":"70175236","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/GRYN/NRR-2012/556","title":"Power analysis and trend detection for water quality monitoring data. An application for the Greater Yellowstone Inventory and Monitoring Network","docAbstract":"An important consideration for long term monitoring programs is determining the required sampling effort to detect trends in specific ecological indicators of interest. To enhance the Greater Yellowstone Inventory and Monitoring Network’s water resources protocol(s) (O’Ney 2006 and O’Ney et al. 2009 [under review]), we developed a set of tools to: (1) determine the statistical power for detecting trends of varying magnitude in a specified water quality parameter over different lengths of sampling (years) and different within-year collection frequencies (monthly or seasonal sampling) at particular locations using historical data, and (2) perform periodic trend analyses for water quality parameters while addressing seasonality and flow weighting.
A power analysis for trend detection is a statistical procedure used to estimate the probability of rejecting the hypothesis of no trend when in fact there is a trend, within a specific modeling framework. In this report, we base our power estimates on using the seasonal Kendall test (Helsel and Hirsch 2002) for detecting trend in water quality parameters measured at fixed locations over multiple years. We also present procedures (R-scripts) for conducting a periodic trend analysis using the seasonal Kendall test with and without flow adjustment. This report provides the R-scripts developed for power and trend analysis, tutorials, and the associated tables and graphs. The purpose of this report is to provide practical information for monitoring network staff on how to use these statistical tools for water quality monitoring data sets.
","language":"English","publisher":"National Park Service","usgsCitation":"Irvine, K.M., Manlove, K., and Hollimon, C., 2012, Power analysis and trend detection for water quality monitoring data. An application for the Greater Yellowstone Inventory and Monitoring Network: Natural Resource Report NPS/GRYN/NRR-2012/556, ix, 65 p.","productDescription":"ix, 65 p.","numberOfPages":"75","ipdsId":"IP-037155","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":328141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328140,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2187418"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffbde4b0f2f0cebfc323","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manlove, Kezia","contributorId":68204,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","affiliations":[],"preferred":false,"id":644469,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hollimon, Cynthia","contributorId":173384,"corporation":false,"usgs":false,"family":"Hollimon","given":"Cynthia","email":"","affiliations":[{"id":5120,"text":"Montana State University, Department of Mathematical Sciences, Bozeman, MT 59717","active":true,"usgs":false}],"preferred":false,"id":644468,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70148038,"text":"70148038 - 2012 - Parameter estimation method and updating of regional prediction equations for ungaged sites in the desert region of California","interactions":[],"lastModifiedDate":"2015-11-06T15:07:31","indexId":"70148038","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Parameter estimation method and updating of regional prediction equations for ungaged sites in the desert region of California","docAbstract":"The U.S. Geological Survey (USGS) is currently updating at-site flood frequency estimates for USGS streamflow-gaging stations in the desert region of California. The at-site flood-frequency analysis is complicated by short record lengths (less than 20 years is common) and numerous zero flows/low outliers at many sites. Estimates of the three parameters (mean, standard deviation, and skew) required for fitting the log Pearson Type 3 (LP3) distribution are likely to be highly unreliable based on the limited and heavily censored at-site data. In a generalization of the recommendations in Bulletin 17B, a regional analysis was used to develop regional estimates of all three parameters (mean, standard deviation, and skew) of the LP3 distribution. A regional skew value of zero from a previously published report was used with a new estimated mean squared error (MSE) of 0.20. A weighted least squares (WLS) regression method was used to develop both a regional standard deviation and a mean model based on annual peak-discharge data for 33 USGS stations throughout California’s desert region. At-site standard deviation and mean values were determined by using an expected moments algorithm (EMA) method for fitting the LP3 distribution to the logarithms of annual peak-discharge data. Additionally, a multiple Grubbs-Beck (MGB) test, a generalization of the test recommended in Bulletin 17B, was used for detecting multiple potentially influential low outliers in a flood series. The WLS regression found that no basin characteristics could explain the variability of standard deviation. Consequently, a constant regional standard deviation model was selected, resulting in a log-space value of 0.91 with a MSE of 0.03 log units. Yet drainage area was found to be statistically significant at explaining the site-to-site variability in mean. The linear WLS regional mean model based on drainage area had a Pseudo- 2 R of 51 percent and a MSE of 0.32 log units. The regional parameter estimates were then used to develop a set of equations for estimating flows with 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities for ungaged basins. The final equations are functions of drainage area.Average standard errors of prediction for these regression equations range from 214.2 to 856.2 percent.
","conferenceTitle":"World Environmental and Water Resources Congress 2012","conferenceDate":"Albuquerque, New Mexico, United States","conferenceLocation":"May 20-24, 2012","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784412312.238","collaboration":"FEMA","usgsCitation":"Barth, N.A., and Veilleux, A.G., 2012, Parameter estimation method and updating of regional prediction equations for ungaged sites in the desert region of California, World Environmental and Water Resources Congress 2012, May 20-24, 2012, Albuquerque, New Mexico, United States, p. 2356-2366, https://doi.org/10.1061/9780784412312.238.","productDescription":"11 p.","startPage":"2356","endPage":"2366","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034376","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":311099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Desert region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.45458984375,\n 37.89219554724437\n ],\n [\n -117.70751953125,\n 35.24561909420681\n ],\n [\n -117.83935546874999,\n 34.69646117272349\n ],\n [\n -116.619873046875,\n 33.742612777346885\n ],\n [\n -115.78491210937501,\n 32.63012300670739\n ],\n [\n -114.521484375,\n 32.76880048488168\n ],\n [\n -114.49951171875,\n 33.02708758002874\n ],\n [\n -114.6533203125,\n 33.05471648804276\n ],\n [\n -114.697265625,\n 33.247875947924385\n ],\n [\n -114.730224609375,\n 33.358061612778876\n ],\n [\n -114.6533203125,\n 33.46810795527896\n ],\n [\n -114.5654296875,\n 33.568861182555565\n ],\n [\n -114.510498046875,\n 33.815666308702774\n ],\n [\n -114.521484375,\n 33.916013113401696\n ],\n [\n -114.47753906249999,\n 34.03445260967645\n ],\n [\n -114.345703125,\n 34.161818161230386\n ],\n [\n -114.19189453125,\n 34.261756524459805\n ],\n [\n -114.136962890625,\n 34.334364487026306\n ],\n [\n -114.345703125,\n 34.488447837809304\n ],\n [\n -114.554443359375,\n 34.77771580360469\n ],\n [\n -114.63134765625001,\n 35.02999636902566\n ],\n [\n -118.41064453125,\n 37.883524980871336\n ],\n [\n -118.45458984375,\n 37.89219554724437\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-13","publicationStatus":"PW","scienceBaseUri":"563ddd42e4b0831b7d6271f3","contributors":{"authors":[{"text":"Barth, Nancy A. nabarth@usgs.gov","contributorId":3276,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":546916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veilleux, Andrea G. aveilleux@usgs.gov","contributorId":4404,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":546915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193579,"text":"70193579 - 2012 - The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event","interactions":[],"lastModifiedDate":"2017-11-02T10:54:49","indexId":"70193579","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event","docAbstract":"Merapi volcano (Indonesia) is one of the most active and hazardous volcanoes in the world. It is known for frequent small to moderate eruptions, pyroclastic flows produced by lava dome collapse, and the large population settled on and around the flanks of the volcano that is at risk. Its usual behavior for the last decades abruptly changed in late October and early November 2010, when the volcano produced its largest and most explosive eruptions in more than a century, displacing at least a third of a million people, and claiming nearly 400 lives. Despite the challenges involved in forecasting this ‘hundred year eruption’, we show that the magnitude of precursory signals (seismicity, ground deformation, gas emissions) was proportional to the large size and intensity of the eruption. In addition and for the first time, near-real-time satellite radar imagery played an equal role with seismic, geodetic, and gas observations in monitoring eruptive activity during a major volcanic crisis. The Indonesian Center of Volcanology and Geological Hazard Mitigation (CVGHM) issued timely forecasts of the magnitude of the eruption phases, saving 10,000–20,000 lives. In addition to reporting on aspects of the crisis management, we report the first synthesis of scientific observations of the eruption. Our monitoring and petrologic data show that the 2010 eruption was fed by rapid ascent of magma from depths ranging from 5 to 30 km. Magma reached the surface with variable gas content resulting in alternating explosive and rapid effusive eruptions, and released a total of ~ 0.44 Tg of SO2. The eruptive behavior seems also related to the seismicity along a tectonic fault more than 40 km from the volcano, highlighting both the complex stress pattern of the Merapi region of Java and the role of magmatic pressurization in activating regional faults. We suggest a dynamic triggering of the main explosions on 3 and 4 November by the passing seismic waves generated by regional earthquakes on these days.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2012.06.018","usgsCitation":", S., Jousset, P., Pallister, J.S., Boichu, M., Buongiorno, M.F., Budisantoso, A., Costa, F., Andreastuti, S., Prata, F., Schneider, D.J., Clarisse, L., Humaida, H., Sumarti, S., Bignami, C., Griswold, J.P., Carn, S.A., Oppenheimer, C., and Lavigne, F., 2012, The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event: Journal of Volcanology and Geothermal Research, v. 241-242, p. 121-135, https://doi.org/10.1016/j.jvolgeores.2012.06.018.","productDescription":"15 p.","startPage":"121","endPage":"135","ipdsId":"IP-037583","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488719,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_246296","text":"External Repository"},{"id":348072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Merapi volcano","volume":"241-242","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fc2eb1e4b0531197b28026","contributors":{"authors":[{"text":" Surono","contributorId":149582,"corporation":false,"usgs":false,"given":"Surono","email":"","affiliations":[],"preferred":false,"id":719436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jousset, Philippe","contributorId":194796,"corporation":false,"usgs":false,"family":"Jousset","given":"Philippe","email":"","affiliations":[],"preferred":false,"id":719437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":719438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boichu, Marie","contributorId":199559,"corporation":false,"usgs":false,"family":"Boichu","given":"Marie","email":"","affiliations":[],"preferred":false,"id":719439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buongiorno, M. Fabrizia","contributorId":102698,"corporation":false,"usgs":true,"family":"Buongiorno","given":"M.","email":"","middleInitial":"Fabrizia","affiliations":[],"preferred":false,"id":719440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budisantoso, Agus","contributorId":199556,"corporation":false,"usgs":false,"family":"Budisantoso","given":"Agus","email":"","affiliations":[],"preferred":false,"id":719441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":719442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andreastuti, Supriyati","contributorId":82087,"corporation":false,"usgs":true,"family":"Andreastuti","given":"Supriyati","email":"","affiliations":[],"preferred":false,"id":719443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prata, Fred","contributorId":148068,"corporation":false,"usgs":false,"family":"Prata","given":"Fred","email":"","affiliations":[{"id":16991,"text":"Norwegian Institute for Air Research","active":true,"usgs":false}],"preferred":false,"id":719444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":719445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clarisse, Lieven","contributorId":199561,"corporation":false,"usgs":false,"family":"Clarisse","given":"Lieven","email":"","affiliations":[],"preferred":false,"id":719446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Humaida, Hanik","contributorId":199562,"corporation":false,"usgs":false,"family":"Humaida","given":"Hanik","email":"","affiliations":[],"preferred":false,"id":719447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sumarti, Sri","contributorId":149584,"corporation":false,"usgs":false,"family":"Sumarti","given":"Sri","email":"","affiliations":[],"preferred":false,"id":719448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bignami, Christian","contributorId":199563,"corporation":false,"usgs":false,"family":"Bignami","given":"Christian","email":"","affiliations":[],"preferred":false,"id":719449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Griswold, Julia P. griswold@usgs.gov","contributorId":4148,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":719450,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carn, Simon A.","contributorId":28092,"corporation":false,"usgs":true,"family":"Carn","given":"Simon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719451,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Oppenheimer, Clive","contributorId":174445,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Clive","email":"","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":719452,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lavigne, Franck","contributorId":66030,"corporation":false,"usgs":true,"family":"Lavigne","given":"Franck","email":"","affiliations":[],"preferred":false,"id":719453,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70043410,"text":"70043410 - 2012 - Production and disposal of waste materials from gas and oil extraction from the Marcellus Shale Play in Pennsylvania","interactions":[],"lastModifiedDate":"2017-07-24T12:58:51","indexId":"70043410","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1559,"text":"Environmental Practice","active":true,"publicationSubtype":{"id":10}},"title":"Production and disposal of waste materials from gas and oil extraction from the Marcellus Shale Play in Pennsylvania","docAbstract":"The increasing world demand for energy has led to an increase in the exploration and extraction of natural gas, condensate, and oil from unconventional organic-rich shale plays. However, little is known about the quantity, transport, and disposal method of wastes produced during the extraction process. We examined the quantity of waste produced by gas extraction activities from the Marcellus Shale play in Pennsylvania for 2011. The main types of wastes included drilling cuttings and fluids from vertical and horizontal drilling and fluids generated from hydraulic fracturing [i.e., flowback and brine (formation) water]. Most reported drill cuttings (98.4%) were disposed of in landfills, and there was a high amount of interstate (49.2%) and interbasin (36.7%) transport. Drilling fluids were largely reused (70.7%), with little interstate (8.5%) and interbasin (5.8%) transport. Reported flowback water was mostly reused (89.8%) or disposed of in brine or industrial waste treatment plants (8.0%) and largely remained within Pennsylvania (interstate transport was 3.1%) with little interbasin transport (2.9%). Brine water was most often reused (55.7%), followed by disposal in injection wells (26.6%), and then disposed of in brine or industrial waste treatment plants (13.8%). Of the major types of fluid waste, brine water was most often transported to other states (28.2%) and to other basins (9.8%). In 2011, 71.5% of the reported brine water, drilling fluids, and flowback was recycled: 73.1% in the first half and 69.7% in the second half of 2011. Disposal of waste to municipal sewage treatment plants decreased nearly 100% from the first half to second half of 2011. When standardized against the total amount of gas produced, all reported wastes, except flowback sands, were less in the second half than the first half of 2011. Disposal of wastes into injection disposal wells increased 129.2% from the first half to the second half of 2011; other disposal methods decreased. Some issues with data were uncovered during the analytical process (e.g., correct geospatial location of disposal sites and the proper reporting of end use of waste) that obfuscated the analyses; correcting these issues will help future analyses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Practice","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","doi":"10.1017/S146604661200035X","usgsCitation":"Maloney, K.O., and Yoxtheimer, D.A., 2012, Production and disposal of waste materials from gas and oil extraction from the Marcellus Shale Play in Pennsylvania: Environmental Practice, v. 14, no. 4, p. 278-287, https://doi.org/10.1017/S146604661200035X.","productDescription":"10 p.","startPage":"278","endPage":"287","numberOfPages":"10","additionalOnlineFiles":"N","ipdsId":"IP-040757","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":270405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270404,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S146604661200035X"}],"country":"United States","state":"Pennsylvania","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"515aac71e4b0105540728a60","contributors":{"authors":[{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoxtheimer, David A.","contributorId":53672,"corporation":false,"usgs":true,"family":"Yoxtheimer","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473543,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155848,"text":"70155848 - 2012 - Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi","interactions":[],"lastModifiedDate":"2022-11-15T16:09:38.395666","indexId":"70155848","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi","docAbstract":"During April 2007 through September 2008, the USGS collected hydrogeologic and water-quality data from a site on the Bogue Phalia to evaluate the role of groundwater and surface-water interaction on the transport of nitrate to the shallow sand and gravel aquifer underlying the Mississippi Alluvial Plain in northwestern Mississippi. A two-dimensional groundwater/surface-water exchange model was developed using temperature and head data and VS2DH, a variably saturated flow and energy transport model. Results from this model showed that groundwater/surface-water exchange at the site occurred regularly and recharge was laterally extensive into the alluvial aquifer. Nitrate was consistently reported in surface-water samples (n = 52, median concentration = 39.8 μmol/L) although never detected in samples collected from in-stream piezometers or shallow monitoring wells adjacent to the stream (n = 46). These two facts, consistent detections of nitrate in surface water and no detections of nitrate in groundwater, coupled with model results that indicate large amounts of surface water moving through an anoxic streambed, support the case for denitrification and nitrate loss through the streambed.
","language":"English","publisher":"Alliance of Crop, Soil, and Environmental Science Societies","doi":"10.2134/jeq2011.0087","usgsCitation":"Barlow, J.R., and Coupe, R.H., 2012, Groundwater and surface-water exchange and resultingnNitrate dynamics in the Bogue Phalia Basin in northwestern Mississippi: Journal of Environmental Quality, v. 41, no. 1, p. 155-169, https://doi.org/10.2134/jeq2011.0087.","productDescription":"15 p.","startPage":"155","endPage":"169","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024197","costCenters":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"links":[{"id":381802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Bogue Phalia Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.20421710355372,\n 34.156863209912004\n ],\n [\n -90.75054266585917,\n 34.156863209912004\n ],\n [\n -90.8764117905081,\n 34.12139801584064\n ],\n [\n -91.1361842392514,\n 33.60994504300518\n ],\n [\n -91.05316417831278,\n 33.117872488161694\n ],\n [\n -90.22296356892653,\n 33.129086822630626\n ],\n [\n -90.20689517003508,\n 34.156863209912004\n ],\n [\n -90.20421710355372,\n 34.156863209912004\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"55cc6e29e4b08400b1fe0fd2","contributors":{"authors":[{"text":"Barlow, Jeannie R. B. 0000-0002-0799-4656 jbarlow@usgs.gov","orcid":"https://orcid.org/0000-0002-0799-4656","contributorId":3701,"corporation":false,"usgs":true,"family":"Barlow","given":"Jeannie","email":"jbarlow@usgs.gov","middleInitial":"R. B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coupe, Richard H. 0000-0001-8679-1015 rhcoupe@usgs.gov","orcid":"https://orcid.org/0000-0001-8679-1015","contributorId":551,"corporation":false,"usgs":true,"family":"Coupe","given":"Richard","email":"rhcoupe@usgs.gov","middleInitial":"H.","affiliations":[{"id":394,"text":"Mississippi Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566595,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70032379,"text":"70032379 - 2012 - Methylation of Hg downstream from the Bonanza Hg mine, Oregon","interactions":[],"lastModifiedDate":"2013-03-25T14:25:41","indexId":"70032379","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Methylation of Hg downstream from the Bonanza Hg mine, Oregon","docAbstract":"Speciation of Hg and conversion to methyl-Hg were evaluated in stream sediment, stream water, and aquatic snails collected downstream from the Bonanza Hg mine, Oregon. Total production from the Bonanza mine was >1360t of Hg, during mining from the late 1800s to 1960, ranking it as an intermediate sized Hg mine on an international scale. The primary objective of this study was to evaluate the distribution, transport, and methylation of Hg downstream from a Hg mine in a coastal temperate climatic zone. Data shown here for methyl-Hg, a neurotoxin hazardous to humans, are the first reported for sediment and water from this area. Stream sediment collected from Foster Creek flowing downstream from the Bonanza mine contained elevated Hg concentrations that ranged from 590 to 71,000ng/g, all of which (except the most distal sample) exceeded the probable effect concentration (PEC) of 1060ng/g, the Hg concentration above which harmful effects are likely to be observed in sediment-dwelling organisms. Concentrations of methyl-Hg in stream sediment collected from Foster Creek varied from 11 to 62ng/g and were highly elevated compared to regional baseline concentrations (0.11-0.82ng/g) established in this study. Methyl-Hg concentrations in stream sediment collected in this study showed a significant correlation with total organic C (TOC, R2=0.62), generally indicating increased methyl-Hg formation with increasing TOC in sediment. Isotopic-tracer methods indicated that several samples of Foster Creek sediment exhibited high rates of Hg-methylation. Concentrations of Hg in water collected downstream from the mine varied from 17 to 270ng/L and were also elevated compared to baselines, but all were below the 770ng/L Hg standard recommended by the USEPA to protect against chronic effects to aquatic wildlife. Concentrations of methyl-Hg in the water collected from Foster Creek ranged from 0.17 to 1.8ng/L, which were elevated compared to regional baseline sites upstream and downstream from the mine that varied from <0.02 to 0.22ng/L. Aquatic snails collected downstream from the mine were elevated in Hg indicating significant bioavailability and uptake of Hg by these snails. Results for sediment and water indicated significant methyl-Hg formation in the ecosystem downstream from the Bonanza mine, which is enhanced by the temperate climate, high precipitation in the area, and high organic matter.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Geochemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.apgeochem.2011.09.019","issn":"08832927","usgsCitation":"Gray, J.E., Hines, M.E., Krabbenhoft, D.P., and Thoms, B., 2012, Methylation of Hg downstream from the Bonanza Hg mine, Oregon: Applied Geochemistry, v. 27, no. 1, p. 106-114, https://doi.org/10.1016/j.apgeochem.2011.09.019.","startPage":"106","endPage":"114","numberOfPages":"9","onlineOnly":"N","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":241306,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213657,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.apgeochem.2011.09.019"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.694382,43.049322 ], [ -123.694382,43.748281 ], [ -122.995377,43.748281 ], [ -122.995377,43.049322 ], [ -123.694382,43.049322 ] ] ] } } ] }","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5619e4b0c8380cd6d354","contributors":{"authors":[{"text":"Gray, John E. jgray@usgs.gov","contributorId":1275,"corporation":false,"usgs":true,"family":"Gray","given":"John","email":"jgray@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":435874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, Mark E.","contributorId":43180,"corporation":false,"usgs":true,"family":"Hines","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":435875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoms, Bryn","contributorId":95278,"corporation":false,"usgs":true,"family":"Thoms","given":"Bryn","email":"","affiliations":[],"preferred":false,"id":435877,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70004585,"text":"sir20115004 - 2011 - Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts","interactions":[],"lastModifiedDate":"2014-06-25T08:48:17","indexId":"sir20115004","displayToPublicDate":"2014-06-08T10:50:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5004","title":"Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts","docAbstract":"Polychlorinated biphenyls (PCBs) are known to contaminate the Neponset River, which flows through parts of Boston, Massachusetts, and empties into the Neponset River Estuary, an important fish-spawning area. The river is dammed and impassable to fish. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration, Riverways Program, collected, analyzed, and interpreted PCB data from bottom-sediment, water, and (or) fish-tissue samples in 2002, 2004-2006. Samples from the Neponset River and Neponset River Estuary were analyzed for 209 PCB congeners, PCB homologs, and Aroclors. In order to better assess the overall health quality of river-bottom sediments, sediment samples were also tested for concentrations of 31 elements.
\nPCB concentrations measured in the top layers of bottom sediment ranged from 28 nanograms per gram (ng/g) just upstream of the Mother Brook confluence to 24,900 ng/g measured in Mother Brook. Concentrations of elements in bottom sediment were generally higher than background concentrations and higher than levels considered toxic to benthic organisms according to freshwater sediment-quality guidelines defined by the U.S. Environmental Protection Agency. Concentrations of dissolved PCBs in water samples collected from the Neponset River (May 13, 2005 to April 28, 2006) averaged about 9.2 nanograms per liter (ng/L) (annual average of monthly values); however, during the months of August (about 16.5 ng/L) and September (about 15.6 ng/L), dissolved PCB concentrations were greater than 14 ng/L, the U.S. Environmental Protection Agency's freshwater continuous chronic criterion for aquatic organisms. Concentrations of PCBs in white sucker (fillets and whole fish) were all greater than 2,000 ng/g wet wt, the U.S. Environmental Protection Agency's guideline for safe consumption of fish: PCB concentrations measured in fish-tissue samples collected from the Tileston and Hollingsworth and Walter Baker Impoundments were 3,490 and 2,450 ng/g wet wt (filleted) and 6,890 and 4,080 ng/g wet wt (whole fish). Total PCB-congener concentrations measured in the whole bodies of estuarine bait fish (common mummichog) averaged 708 ng/g wet wt.
\nPCBs that pass from the Neponset River to the Neponset River Estuary are either dissolved or associated with particulate matter (including living and nonliving material) suspended in the water column. A small proportion of PCBs may also be transported as part of the body burden of fish and wildlife. During the period May 13, 2005 to April 28, 2006, about 5,100 g (3.8 L or 1 gal) of PCBs were transported from the Neponset River to the Neponset River Estuary. Generally, about one-half of these PCBs were dissolved in the water column and the other half were associated with particulate matter; however, the proportion that was either dissolved or particulate varied seasonally. Most PCBs transported from the river to the estuary are composed of four or fewer chlorine atoms per biphenyl molecule.
\nThe data suggest that widespread PCB contamination of the lower Neponset River originated from Mother Brook, a Neponset River tributary, starting sometime around the early 1950s or earlier. In 1955, catastrophic dam failure caused by flooding likely released PCB-contaminated sediment downstream and into the Neponset River Estuary. PCBs from this source area likely continued to be released after the flood and during subsequent rebuilding of downstream dams. Today (2007), PCBs are mostly trapped behind these dams; however, some PCBs either diffuse or are entrained back into the water column and are transported downstream by river water into the estuary or volatilize into the atmosphere. In addition to the continuing release of PCBs from historically contaminated bottom sediment, PCBs are still (2007) originating from source areas along Mother and Meadow Brook as well as other sources along the river and Boston Harbor. PCBs from the river (transported by river water) and from the harbor (transported by tidal action) appear to have contaminated parts of the Neponset River Estuary.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115004","collaboration":"Prepared in cooperation with the Massachusetts Department of Fish and Game, Division of Ecological Restoration, Riverways Program","usgsCitation":"Breault, R., 2011, Concentrations, loads, and sources of polychlorinated biphenyls, Neponset River and Neponset River Estuary, eastern Massachusetts (Originally posted June 8, 2011; Version 1.1: June 24, 2014): U.S. Geological Survey Scientific Investigations Report 2011-5004, Report: x, 143 p.; Appendixes 1-5, https://doi.org/10.3133/sir20115004.","productDescription":"Report: x, 143 p.; Appendixes 1-5","numberOfPages":"157","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":116612,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5004.jpg"},{"id":21858,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5004/","linkFileType":{"id":5,"text":"html"}},{"id":289031,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx2_508.pdf"},{"id":289029,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004.pdf"},{"id":289030,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx1_508.pdf"},{"id":289032,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx3_508.pdf"},{"id":289033,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx4_508.pdf"},{"id":289034,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2011/5004/pdf/sir2011-5004_appx5_508.pdf"}],"projection":"Lambert conformal conic projection","datum":"North American Datum of 1983","country":"United States","state":"Massachusetts","otherGeospatial":"Neponset River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.333333,42.166667 ], [ -71.333333,42.333333 ], [ -71.0,42.333333 ], [ -71.0,42.166667 ], [ -71.333333,42.166667 ] ] ] } } ] }","edition":"Originally posted June 8, 2011; Version 1.1: June 24, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b7b0d5e4b0388651d9168e","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":2219,"corporation":false,"usgs":true,"family":"Breault","given":"Robert F.","email":"rbreault@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350803,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045181,"text":"70045181 - 2011 - Nature's Notebook 2010: Data & participant summary","interactions":[],"lastModifiedDate":"2016-05-17T13:53:35","indexId":"70045181","displayToPublicDate":"2012-12-01T03:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":95,"text":"USA-NPN Technical Series","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2011-001","title":"Nature's Notebook 2010: Data & participant summary","docAbstract":"The USA National Phenology Network (USA‐NPN) seeks to engage volunteer observers to collect phenology observations of plants and animals using consistent standards and to contribute to the USANPN National Phenology Database (NPDb). The commencement of 2010 marked the second functional year of Nature’s Notebook, the online phenology observation program developed by the National Coordinating Office (NCO) of the USA‐NPN. The addition of animal species for monitoring was a major enhancement to Nature’s Notebook in 2010.
\nIn 2010, with minimal advertising or marketing, 796 new observers registered with Nature’s Notebook and 426 observers reported phenology observations on one or more plants or animals via the online interface. Over 200,000 data records were added to the NPDb. Observations were reported on 179 species of plants and 58 species of animals. The plant species most frequently observed include red maple (Acer rubrum), quaking aspen (Populus tremuloides), American beech (Fagus grandifolia), northern red oak (Quercus rubra), and flowering dogwood (Cornus florida). The animal species most frequently observed were American robin (Turdus migratorius), black‐capped chickadee (Poecile atricapillus), American goldfinch (Carduelis tristis), bumblebee (Bombus spp.), and white‐tailed deer (Odocoileus virginianus).
\nAs in 2009, participants tended to stay involved, reporting most phenophases for an average of nearly ten unique dates during the year. In addition, nearly two hundred participants who submitted observations in previous years continued to participate in 2010. This sustained participation suggests that the Nature’s Notebook interface and the status monitoring protocols inherent in Nature’s Notebook are both conducive to engaging the public and keeping them involved.
\nData submitted by Nature’s Notebook participants show patterns that follow latitude and elevation. Multiple years of observations now allow for year‐to‐year comparisons within and across species. As such, these data should be useful to a variety of stakeholders interested in the spatial and temporal patterns of plant and animal activity on a national scale; through time, these data should also empower scientists, resource managers, and the public in decision‐making and adapting to variable and changing climates and environments. Data submitted toNature’s Notebook and supporting metadata are available for download at www.usanpn.org/results/data. Additionally, data visualization tools are available online at www.usanpn.org/results/visualizations.
","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Crimmins, T., Rosemartin, A.H., Marsh, R.L., Denny, E.G., Enquist, C., and Weltzin, J., 2011, Nature's Notebook 2010: Data & participant summary: USA-NPN Technical Series 2011-001, 31 p.","productDescription":"31 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-035892","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":321338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":321337,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usanpn.org/pubs/reports#USA-NPN_Technical_Series"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d65ebe4b07e28b6684903","contributors":{"authors":[{"text":"Crimmins, Theresa","contributorId":103579,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","affiliations":[],"preferred":false,"id":629638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa H.","contributorId":30910,"corporation":false,"usgs":true,"family":"Rosemartin","given":"Alyssa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":629639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsh, R. Lee","contributorId":146211,"corporation":false,"usgs":false,"family":"Marsh","given":"R.","email":"","middleInitial":"Lee","affiliations":[{"id":16629,"text":"USA National Phenology Network, SNRE University of Arizona","active":true,"usgs":false}],"preferred":false,"id":629640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denny, Ellen G.","contributorId":79803,"corporation":false,"usgs":true,"family":"Denny","given":"Ellen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":629641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enquist, Carolyn A.F.","contributorId":87445,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn A.F.","affiliations":[],"preferred":false,"id":629642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":149476,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":629643,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70038411,"text":"fs20113043 - 2011 - Streamflow of 2010--Water year summary","interactions":[],"lastModifiedDate":"2012-08-28T14:10:23","indexId":"fs20113043","displayToPublicDate":"2012-05-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3043","title":"Streamflow of 2010--Water year summary","docAbstract":"The maps and graph in this summary describe streamflow conditions for water-year 2010 (October 1, 2009 to September 30, 2010) in the context of the 81-year period 1930-2010, unless otherwise noted. The illustrations are based on observed data from the U.S. Geological Survey's (USGS) National Streamflow Information Program. The period 1930-2010 was used because prior to 1930, the number of streamgages was too small to provide representative data for computing statistics for most regions of the country.\r\nIn the summary, reference is made to the term \"runoff,\" which is the depth to which a river basin, State, or other geographic area would be covered with water if all the streamflow within the area during a single year was uniformly distributed upon it. Runoff quantifies the magnitude of water flowing through the Nation's rivers and streams in measurement units that can be compared from one area to another.\r\nEach of the maps and graphs below can be expanded to a larger view by clicking on the image. In all the graphics, a rank of 1 indicates the highest flow of all years analyzed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113043","usgsCitation":"Xiaodong, J., Wolock, D.M., Lins, H.F., and Brady, S., 2011, Streamflow of 2010--Water year summary: U.S. Geological Survey Fact Sheet 2011-3043, 8 p., https://doi.org/10.3133/fs20113043.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"Y","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":256944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3043.gif"},{"id":256939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3043/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9b12e4b08c986b31cc75","contributors":{"authors":[{"text":"Xiaodong, Jian","contributorId":10260,"corporation":false,"usgs":true,"family":"Xiaodong","given":"Jian","email":"","affiliations":[],"preferred":false,"id":464062,"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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","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":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":464060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lins, Harry F. 0000-0001-5385-9247 hlins@usgs.gov","orcid":"https://orcid.org/0000-0001-5385-9247","contributorId":1505,"corporation":false,"usgs":true,"family":"Lins","given":"Harry","email":"hlins@usgs.gov","middleInitial":"F.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":464061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Steve","contributorId":108351,"corporation":false,"usgs":true,"family":"Brady","given":"Steve","email":"","affiliations":[],"preferred":false,"id":464063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}