Exposure to fine particulate matter (PM) is generally acknowledged to increase risk for human morbidity and mortality. However, particulate matter (PM) research has generally examined anthropogenic (industry and combustion by-products) sources with few studies considering contributions from geogenic PM (produced from the Earth by natural processes, e.g., volcanic ash, windborne ash from wildfires, and mineral dusts) or geoanthropogenic PM (produced from natural sources by processes that are modified or enhanced by human activities, e.g., dusts from lakebeds dried by human removal of water, dusts produced from areas that have undergone desertification as a result of human practices). Globally, public health concerns are mounting, related to potential increases in dust emission from climate related changes such as desertification and the associated long range as well as local health effects. Recent epidemiological studies have identified associations between far-traveled dusts from primary sources and increased morbidity and mortality in Europe and Asia. This paper provides an outline of public health research and history as it relates to naturally occurring inorganic mineral dusts. We summarize results of current public health research and describe some of the many challenges related to understanding health effects from exposures to dust aerosols.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2012.12.001","usgsCitation":"Morman, S.A., and Plumlee, G.S., 2013, The role of airborne mineral dusts in human disease: Aeolian Research, v. 9, p. 203-212, https://doi.org/10.1016/j.aeolia.2012.12.001.","productDescription":"10 p.","startPage":"203","endPage":"212","ipdsId":"IP-040810","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c3e4b0d1f9f05067c9","contributors":{"authors":[{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702801,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046377,"text":"70046377 - 2013 - The landfall and inland penetration of a flood-producing atmospheric river in Arizona. Part I: observed synoptic-scale, orographic, and hydrometeorological characteristics","interactions":[],"lastModifiedDate":"2013-06-10T15:58:58","indexId":"70046377","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"The landfall and inland penetration of a flood-producing atmospheric river in Arizona. Part I: observed synoptic-scale, orographic, and hydrometeorological characteristics","docAbstract":"Atmospheric rivers (ARs) are a dominant mechanism for generating intense wintertime precipitation along the U.S. West Coast. While studies over the past 10 years have explored the impact of ARs in, and west of, California’s Sierra Nevada and the Pacific Northwest’s Cascade Mountains, their influence on the weather across the intermountain west remains an open question. This study utilizes gridded atmospheric datasets, satellite imagery, rawinsonde soundings, a 449-MHz wind profiler and global positioning system (GPS) receiver, and operational hydrometeorological observing networks to explore the dynamics and inland impacts of a landfalling, flood-producing AR across Arizona in January 2010. Plan-view, cross-section, and back-trajectory analyses quantify the synoptic and mesoscale forcing that led to widespread precipitation across the state. The analyses show that a strong AR formed in the lower midlatitudes over the northeastern Pacific Ocean via frontogenetic processes and sea surface latent-heat fluxes but without tapping into the adjacent tropical water vapor reservoir to the south. The wind profiler, GPS, and rawinsonde observations document strong orographic forcing in a moist neutral environment within the AR that led to extreme, orographically enhanced precipitation. The AR was oriented nearly orthogonal to the Mogollon Rim, a major escarpment crossing much of central Arizona, and was positioned between the high mountain ranges of northern Mexico. High melting levels during the heaviest precipitation contributed to region-wide flooding, while the high-altitude snowpack increased substantially. The characteristics of the AR that impacted Arizona in January 2010, and the resulting heavy orographic precipitation, are comparable to those of landfalling ARs and their impacts along the west coasts of midlatitude continents.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydrometeorology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-12-0101.1","usgsCitation":"Neiman, P.J., Ralph, F.M., Moore, B.J., Hughes, M., Mahoney, K.M., Cordeira, J., and Dettinger, M., 2013, The landfall and inland penetration of a flood-producing atmospheric river in Arizona. Part I: observed synoptic-scale, orographic, and hydrometeorological characteristics: Journal of Hydrometeorology, v. 14, no. 2, p. 460-484, https://doi.org/10.1175/JHM-D-12-0101.1.","productDescription":"25 p.","startPage":"460","endPage":"484","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-12-0101.1","text":"Publisher Index Page"},{"id":273570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273569,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/JHM-D-12-0101.1"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.8,31.3 ], [ -114.8,37.0 ], [ -109.0,37.0 ], [ -109.0,31.3 ], [ -114.8,31.3 ] ] ] } } ] }","volume":"14","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75ce4b0097a7158ab71","contributors":{"authors":[{"text":"Neiman, Paul J.","contributorId":29722,"corporation":false,"usgs":true,"family":"Neiman","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, F. Martin","contributorId":57350,"corporation":false,"usgs":true,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[],"preferred":false,"id":479584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Benjamin J.","contributorId":13885,"corporation":false,"usgs":true,"family":"Moore","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Mimi","contributorId":84620,"corporation":false,"usgs":true,"family":"Hughes","given":"Mimi","email":"","affiliations":[],"preferred":false,"id":479586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahoney, Kelly M.","contributorId":16302,"corporation":false,"usgs":true,"family":"Mahoney","given":"Kelly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cordeira, Jason M.","contributorId":79009,"corporation":false,"usgs":true,"family":"Cordeira","given":"Jason M.","affiliations":[],"preferred":false,"id":479585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettinger, Michael D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":31743,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael D.","affiliations":[],"preferred":false,"id":479583,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046336,"text":"70046336 - 2013 - Estimating thermal regimes of bull trout and assessing the potential effects of climate warming on critical habitats","interactions":[],"lastModifiedDate":"2014-02-10T12:00:57","indexId":"70046336","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Estimating thermal regimes of bull trout and assessing the potential effects of climate warming on critical habitats","docAbstract":"Understanding the vulnerability of aquatic species and habitats under climate change is critical for conservation and management of freshwater systems. Climate warming is predicted to increase water temperatures in freshwater ecosystems worldwide, yet few studies have developed spatially explicit modelling tools for understanding the potential impacts. We parameterized a nonspatial model, a spatial flow-routed model, and a spatial hierarchical model to predict August stream temperatures (22-m resolution) throughout the Flathead River Basin, USA and Canada. Model comparisons showed that the spatial models performed significantly better than the nonspatial model, explaining the spatial autocorrelation found between sites. The spatial hierarchical model explained 82% of the variation in summer mean (August) stream temperatures and was used to estimate thermal regimes for threatened bull trout (Salvelinus confluentus) habitats, one of the most thermally sensitive coldwater species in western North America. The model estimated summer thermal regimes of spawning and rearing habitats at <13 C° and foraging, migrating, and overwintering habitats at <14 C°. To illustrate the useful application of such a model, we simulated climate warming scenarios to quantify potential loss of critical habitats under forecasted climatic conditions. As air and water temperatures continue to increase, our model simulations show that lower portions of the Flathead River Basin drainage (foraging, migrating, and overwintering habitat) may become thermally unsuitable and headwater streams (spawning and rearing) may become isolated because of increasing thermal fragmentation during summer. Model results can be used to focus conservation and management efforts on populations of concern, by identifying critical habitats and assessing thermal changes at a local scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/rra.2638","usgsCitation":"Jones, L.A., Muhlfeld, C.C., Marshall, L.A., McGlynn, B.L., and Kershner, J.L., 2013, Estimating thermal regimes of bull trout and assessing the potential effects of climate warming on critical habitats: River Research and Applications, v. 30, no. 2, p. 204-216, https://doi.org/10.1002/rra.2638.","productDescription":"13 p.","startPage":"204","endPage":"216","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-041546","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":273466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.2638"}],"otherGeospatial":"Flathead River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.26,47.10 ], [ -117.26,50.42 ], [ -113.97,50.42 ], [ -113.97,47.10 ], [ -117.26,47.10 ] ] ] } } ] }","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-01-08","publicationStatus":"PW","scienceBaseUri":"51b6e75ae4b0097a7158ab49","contributors":{"authors":[{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":479492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Lucy A.","contributorId":56135,"corporation":false,"usgs":true,"family":"Marshall","given":"Lucy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGlynn, Brian L.","contributorId":83012,"corporation":false,"usgs":true,"family":"McGlynn","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kershner, Jeffrey L. 0000-0002-7093-9860 jkershner@usgs.gov","orcid":"https://orcid.org/0000-0002-7093-9860","contributorId":310,"corporation":false,"usgs":true,"family":"Kershner","given":"Jeffrey","email":"jkershner@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046333,"text":"70046333 - 2013 - Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","interactions":[],"lastModifiedDate":"2017-09-12T11:53:47","indexId":"70046333","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology","docAbstract":"Abstract. It is increasingly common for studies of animal ecology to use model-based predictions of environmental variables as explanatory or predictor variables, even though model prediction uncertainty is typically unknown. To demonstrate the potential for misleading inferences when model predictions with error are used in place of direct measurements, we compared snow water equivalent (SWE) and snow depth as predicted by the Snow Data Assimilation System (SNODAS) to field measurements of SWE and snow depth. We examined locations on elk (Cervus canadensis) winter ranges in western Wyoming, because modeled data such as SNODAS output are often used for inferences on elk ecology. Overall, SNODAS predictions tended to overestimate field measurements, prediction uncertainty was high, and the difference between SNODAS predictions and field measurements was greater in snow shadows for both snow variables compared to non-snow shadow areas. We used a simple simulation of snow effects on the probability of an elk being killed by a predator to show that, if SNODAS prediction uncertainty was ignored, we might have mistakenly concluded that SWE was not an important factor in where elk were killed in predatory attacks during the winter. In this simulation, we were interested in the effects of snow at finer scales (<1 km2) than the resolution of SNODAS. If bias were to decrease when SNODAS predictions are averaged over coarser scales, SNODAS would be applicable to population-level ecology studies. In our study, however, averaging predictions over moderate to broad spatial scales (9–2200 km2) did not reduce the differences between SNODAS predictions and field measurements. This study highlights the need to carefully evaluate two issues when using model output as an explanatory variable in subsequent analysis: (1) the model’s resolution relative to the scale of the ecological question of interest and (2) the implications of prediction uncertainty on inferences when using model predictions as explanatory or predictor variables.","language":"English","publisher":"Ecological Society of America","doi":"10.1890/12-0959.1","usgsCitation":"Cross, P.C., Klaver, R.W., Brennan, A., Creel, S., Beckmann, J., Higgs, M., and Scurlock, B.M., 2013, Inferential consequences of modeling rather than measuring snow accumulation in studies of animal ecology: Ecological Applications, v. 23, no. 3, p. 643-653, https://doi.org/10.1890/12-0959.1.","productDescription":"11 p.","startPage":"643","endPage":"653","numberOfPages":"11","additionalOnlineFiles":"N","ipdsId":"IP-032991","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":473759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/212","text":"External Repository"},{"id":273468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273467,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/12-0959.1"}],"country":"United States","state":"Wyoming","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e75be4b0097a7158ab55","contributors":{"authors":[{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":479478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":479473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennan, Angela","contributorId":40871,"corporation":false,"usgs":true,"family":"Brennan","given":"Angela","affiliations":[],"preferred":false,"id":479476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":479475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beckmann, Jon P.","contributorId":73098,"corporation":false,"usgs":true,"family":"Beckmann","given":"Jon P.","affiliations":[],"preferred":false,"id":479477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Higgs, Megan D.","contributorId":14718,"corporation":false,"usgs":true,"family":"Higgs","given":"Megan D.","affiliations":[],"preferred":false,"id":479474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":479479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046339,"text":"sir20135013 - 2013 - A national streamflow network gap analysis","interactions":[],"lastModifiedDate":"2013-06-10T09:29:21","indexId":"sir20135013","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","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":"2013-5013","title":"A national streamflow network gap analysis","docAbstract":"The U.S. Geological Survey (USGS) conducted a gap analysis to evaluate how well the USGS streamgage network meets a variety of needs, focusing on the ability to calculate various statistics at locations that have streamgages (gaged) and that do not have streamgages (ungaged). This report presents the results of analysis to determine where there are gaps in the network of gaged locations, how accurately desired statistics can be calculated with a given length of record, and whether the current network allows for estimation of these statistics at ungaged locations. The analysis indicated that there is variability across the Nation’s streamflow data-collection network in terms of the spatial and temporal coverage of streamgages. In general, the Eastern United States has better coverage than the Western United States. The arid Southwestern United States, Alaska, and Hawaii were observed to have the poorest spatial coverage, using the dataset assembled for this study. Except in Hawaii, these areas also tended to have short streamflow records. Differences in hydrology lead to differences in the uncertainty of statistics calculated in different regions of the country. Arid and semiarid areas of the Central and Southwestern United States generally exhibited the highest levels of interannual variability in flow, leading to larger uncertainty in flow statistics. At ungaged locations, information can be transferred from nearby streamgages if there is sufficient similarity between the gaged watersheds and the ungaged watersheds of interest. Areas where streamgages exhibit high correlation are most likely to be suitable for this type of information transfer. The areas with the most highly correlated streamgages appear to coincide with mountainous areas of the United States. Lower correlations are found in the Central United States and coastal areas of the Southeastern United States. Information transfer from gaged basins to ungaged basins is also most likely to be successful when basin attributes show high similarity. At the scale of the analysis completed in this study, the attributes of basins upstream of USGS streamgages cover the full range of basin attributes observed at potential locations of interest fairly well. Some exceptions included very high or very low elevation areas and very arid areas.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135013","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Kiang, J.E., Stewart, D.W., Archfield, S.A., Osborne, E.B., and Eng, K., 2013, A national streamflow network gap analysis: U.S. Geological Survey Scientific Investigations Report 2013-5013, Report: ix, 82 p.; 1 Appendix, https://doi.org/10.3133/sir20135013.","productDescription":"Report: ix, 82 p.; 1 Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":273473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135013.gif"},{"id":273471,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5013/sir2013-5013_app1_final.xlsx"},{"id":273469,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5013/pdf/sir2013-5013.pdf"},{"id":273470,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5013/"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.61,13.23 ], [ 144.61,71.83 ], [ -65.22,71.83 ], [ -65.22,13.23 ], [ 144.61,13.23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6e750e4b0097a7158ab2d","contributors":{"authors":[{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":479505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, David W. dwstewar@usgs.gov","contributorId":2390,"corporation":false,"usgs":true,"family":"Stewart","given":"David","email":"dwstewar@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":479506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborne, Emily B.","contributorId":101971,"corporation":false,"usgs":true,"family":"Osborne","given":"Emily","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":479508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eng, Ken","contributorId":89480,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","affiliations":[],"preferred":false,"id":479507,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046374,"text":"70046374 - 2013 - The ancient blue oak woodlands of California: longevity and hydroclimatic history","interactions":[],"lastModifiedDate":"2013-08-26T10:01:16","indexId":"70046374","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"The ancient blue oak woodlands of California: longevity and hydroclimatic history","docAbstract":"Ancient blue oak trees are still widespread across the foothills of the Coast Ranges, Cascades, and Sierra Nevada in California. The most extensive tracts of intact old-growth blue oak woodland appear to survive on rugged and remote terrain in the south Coast Ranges and on the foothills west and southwest of Mt. Lassen. In our sampling of old-growth stands, most blue oak appear to have recruited to the canopy in the mid- to late-19th century. The oldest living blue oak tree sampled was over 459-years old and several dead blue oak logs had over 500 annual rings. Precipitation sensitive tree-ring chronologies up to 700-years long have been developed from old blue oak trees and logs. Annual ring-width chronologies of blue oak are strongly correlated with cool season precipitation totals, streamflow in the major rivers of California, and the estuarine water quality of San Francisco Bay. A new network of 36 blue oak chronologies records spatial anomalies in growth that arise from latitudinal changes in the mean storm track and location of landfalling atmospheric rivers. These long, climate-sensitive blue oak chronologies have been used to reconstruct hydroclimatic history in California and will help to better understand and manage water resources. The environmental history embedded in blue oak growth chronologies may help justify efforts to conserve these authentic old-growth native woodlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Interactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Meteorological Society","doi":"10.1175/2013EI000518.1","usgsCitation":"Stahle, D., Griffin, R., Meko, D., Therrell, M., Edmondson, J., Cleaveland, M., Burnette, D., Abatzoglou, J., Redmond, K., Dettinger, M.D., and Cayan, D., 2013, The ancient blue oak woodlands of California: longevity and hydroclimatic history: Earth Interactions, v. 17, no. 12, p. 1-23, https://doi.org/10.1175/2013EI000518.1.","productDescription":"23 p.","startPage":"1","endPage":"23","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2013ei000518.1","text":"Publisher Index Page"},{"id":273568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2013EI000518.1"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-08-20","publicationStatus":"PW","scienceBaseUri":"51b6e75ce4b0097a7158ab69","contributors":{"authors":[{"text":"Stahle, D.W.","contributorId":88573,"corporation":false,"usgs":true,"family":"Stahle","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":479575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffin, R.D.","contributorId":37629,"corporation":false,"usgs":true,"family":"Griffin","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":479570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meko, D.M.","contributorId":56816,"corporation":false,"usgs":true,"family":"Meko","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":479571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Therrell, M.D.","contributorId":107596,"corporation":false,"usgs":true,"family":"Therrell","given":"M.D.","affiliations":[],"preferred":false,"id":479577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmondson, J.R.","contributorId":13513,"corporation":false,"usgs":true,"family":"Edmondson","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":479568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cleaveland, M.K.","contributorId":83826,"corporation":false,"usgs":true,"family":"Cleaveland","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":479574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burnette, D.J.","contributorId":77031,"corporation":false,"usgs":true,"family":"Burnette","given":"D.J.","affiliations":[],"preferred":false,"id":479573,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abatzoglou, J.T.","contributorId":64542,"corporation":false,"usgs":true,"family":"Abatzoglou","given":"J.T.","affiliations":[],"preferred":false,"id":479572,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Redmond, K.T.","contributorId":12865,"corporation":false,"usgs":true,"family":"Redmond","given":"K.T.","email":"","affiliations":[],"preferred":false,"id":479567,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dettinger, M. D. 0000-0002-7509-7332","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":93069,"corporation":false,"usgs":false,"family":"Dettinger","given":"M.","middleInitial":"D.","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":479576,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":479569,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70040669,"text":"70040669 - 2013 - At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","interactions":[],"lastModifiedDate":"2013-06-10T11:13:09","indexId":"70040669","displayToPublicDate":"2013-06-10T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull","docAbstract":"Strong and predictable environmental variability can reward flexible behaviors among animals. We used long-term records of activity data that cover several lunar cycles to investigate whether behavior at-sea of swallow-tailed gulls Creagrus furcatus, a nocturnal pelagic seabird, varied with lunar phase in the Galápagos Islands. A Bayesian hierarchical model showed that nighttime at-sea activity of 37 breeding swallow-tailed gulls was clearly associated with changes in moon phase. Proportion of nighttime spent on water was highest during darker periods of the lunar cycle, coinciding with the cycle of the diel vertical migration (DVM) that brings prey to the sea surface at night. Our data show that at-sea behavior of a tropical seabird can vary with environmental changes, including lunar phase.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0056889","usgsCitation":"Cruz, S.M., Hooten, M., Huyvaert, K., Proano, C.B., Anderson, D.J., Afanasyev, V., and Wikelski, M., 2013, At-sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull: PLoS ONE, v. 8, no. 2, e56889, https://doi.org/10.1371/journal.pone.0056889.","productDescription":"e56889","ipdsId":"IP-037822","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":473766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0056889","text":"Publisher Index Page"},{"id":273495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273493,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0056889"}],"otherGeospatial":"Gal�pagos Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.01,-1.41 ], [ -92.01,1.66 ], [ -89.24,1.66 ], [ -89.24,-1.41 ], [ -92.01,-1.41 ] ] ] } } ] }","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-26","publicationStatus":"PW","scienceBaseUri":"51b6e758e4b0097a7158ab3d","contributors":{"authors":[{"text":"Cruz, Sebastian M.","contributorId":56136,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin","contributorId":18254,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","affiliations":[],"preferred":false,"id":468755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huyvaert, Kathryn P.","contributorId":73906,"corporation":false,"usgs":true,"family":"Huyvaert","given":"Kathryn P.","affiliations":[],"preferred":false,"id":468758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proano, Carolina B.","contributorId":94195,"corporation":false,"usgs":true,"family":"Proano","given":"Carolina","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":468760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, David J.","contributorId":15099,"corporation":false,"usgs":true,"family":"Anderson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":468754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Afanasyev, Vsevolod","contributorId":18661,"corporation":false,"usgs":true,"family":"Afanasyev","given":"Vsevolod","email":"","affiliations":[],"preferred":false,"id":468756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":468759,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70046250,"text":"sir20135021 - 2013 - Concentration, flux, and the analysis of trends of total and dissolved phosphorus, total nitrogen, and chloride in 18 tributaries to Lake Champlain, Vermont and New York, 1990–2011","interactions":[],"lastModifiedDate":"2014-03-13T16:16:58","indexId":"sir20135021","displayToPublicDate":"2013-06-07T00:00:00","publicationYear":"2013","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":"2013-5021","title":"Concentration, flux, and the analysis of trends of total and dissolved phosphorus, total nitrogen, and chloride in 18 tributaries to Lake Champlain, Vermont and New York, 1990–2011","docAbstract":"Annual concentration, flux, and yield for total phosphorus, dissolved phosphorus, total nitrogen, and chloride for 18 tributaries to Lake Champlain were estimated for 1990 through 2011 using a weighted regression method based on time, tributary streamflows (discharges), and seasonal factors. The weighted regression method generated two series of daily estimates of flux and concentration during the period of record: one based on observed discharges and a second based on a flow-normalization procedure that removes random variation due to year-to-year climate-driven effects. The flownormalized estimate for a given date is similar to an average estimate of concentration or flux that would be made if all of the observed discharges for that date were equally likely to have occurred. The flux bias statistic showed that 68 of the 72 flux regression models were minimally biased. Temporal trends in the concentrations and fluxes were determined by calculating percent changes in flow-normalized annual fluxes for the full period of analysis (1990 through 2010) and for the decades 1990–2000 and 2000–2010. Basinwide, flow-normalized total phosphorus flux decreased by 42 metric tons per year (t/yr) between 1990 and 2010. This net result reflects a basinwide decrease in flux of 21 metric tons (t) between 1990 and 2000, followed by a decrease of 20 t between 2000 and 2010; both results were largely influenced by flux patterns in the large tributaries on the eastern side of the basin. A comparison of results for total phosphorus for the two separate decades of analysis found that more tributaries had decreasing concentrations and flux rates in the second decade than the first. An overall reduction in dissolved phosphorus flux of 0.7 t/yr was seen in the Lake Champlain Basin during the full period of analysis. That very small net change in flux reflects substantial reductions between 1990 and 2000 from eastern tributaries, especially in Otter Creek and the LaPlatte and Winooski Rivers that largely were offset by increases in the Missisquoi and Saranac Rivers in the second decade (between 2000 and 2010). The number of tributaries that had increases in dissolved phosphorus concentrations stayed constant at 13 or 14 during the period of analysis. Total nitrogen concentration and flux for most of the monitored tributaries in the Lake Champlain Basin have decreased since 1990. Between 1990 and 2010, flow-normalized total nitrogen flux decreased by 386 t/yr, which reflects an increase of 440 t/yr between 1990 and 2000 and a decrease of 826 t/yr between 2000 and 2010. All individual tributaries except the Winooski River had decreases in total nitrogen concentration and flux between 2000 and 2010. The decrease in total nitrogen flux over the period of record could be related to the decrease in nitrogen from atmospheric deposition observed in Vermont or to concurrent benefits realized from the implementation of agricultural best-management practices in the Lake Champlain Basin that were designed primarily to reduce phosphorus runoff. For chloride, large increases in flow-normalized concentrations and flux between 1990 and 2000 for 17 of the 18 tributaries diminished to small increases or decreases between 2000 and 2010. Between 1990 and 2010, flow-normalized flux increased by 32,225 t/yr, 78 percent of which (25,163 t) was realized during the first decade, from 1990 through 2000. The five tributaries that had decreasing concentration and flux of chloride between 2000 and 2010 were all on the eastern side of Lake Champlain, possibly related to reductions since 1999 in winter road salt application in Vermont. Positive correlations of phosphorus flux and changes in phosphorus concentration and flux in tributaries with phosphorus inputs to basins from point sources, suggest that point sources have an effect on stream phosphorus chemistry. Several measures of changes in agricultural statistics, such as agricultural land use, acres of land in farms, acres of cropland, and acres of corn for grain or seed, are positively correlated with changes in phosphorus concentration or flux in the tributaries. Negative correlations of the amount of money spent on agricultural best-management practices with changes in phosphorus concentration or flux in the tributaries, suggest that best-management practices may be an effective tool, along with point-source reductions, in making progress towards management goals for phosphorus reductions in Lake Champlain.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135021","collaboration":"Prepared in cooperation with the Vermont Department of Environmental Conservation","usgsCitation":"Medalie, L., 2013, Concentration, flux, and the analysis of trends of total and dissolved phosphorus, total nitrogen, and chloride in 18 tributaries to Lake Champlain, Vermont and New York, 1990–2011: U.S. Geological Survey Scientific Investigations Report 2013-5021, Report: vi, 31 p.; 8 Appendicies, https://doi.org/10.3133/sir20135021.","productDescription":"Report: vi, 31 p.; 8 Appendicies","numberOfPages":"39","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135021.gif"},{"id":273156,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5021/"},{"id":273157,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5021/pdf/sir2013-5021_report_508.pdf"},{"id":273158,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix6_final052813.xlsx"},{"id":273159,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix4_052413.pdf"},{"id":273161,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix8_052413.pdf"},{"id":283965,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix7_05282013.pdf"},{"id":283964,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix5_052413.pdf"},{"id":283968,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix2_final041813.xlsx"},{"id":283971,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix3_052813.pdf"},{"id":283967,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5021/appendix/sir_appendix1_final041813.xlsx"}],"country":"United States","state":"New York;Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.7081,43.5785 ], [ -73.7081,45.0891 ], [ -72.8948,45.0891 ], [ -72.8948,43.5785 ], [ -73.7081,43.5785 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b2f2d2e4b01368e589e3b6","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479301,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156897,"text":"70156897 - 2013 - Field trial of a pulsed limestone diversion well","interactions":[],"lastModifiedDate":"2021-10-29T16:08:27.450572","indexId":"70156897","displayToPublicDate":"2013-06-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field trial of a pulsed limestone diversion well","docAbstract":"The use of limestone diversion wells to treat acid mine drainage (AMD) is well-known, but in many cases, acid neutralization is not as complete as would be desired. Reasons for this include channeling of the water through the limestone bed, and the slow reaction rate of the limestone gravel. A new approach to improve the performance of the diversion well was tested in the field at the Jennings Environmental Education Center, near Slippery Rock, PA. In this approach, a finer size distribution of limestone was used so as to allow fluidization of the limestone bed, thus eliminating channeling and increasing particle surface area for faster reaction rates. Also, water flow was regulated through the use of a dosing siphon, so that consistent fluidization of the limestone sand could be achieved. Testing began late in the summer of 2010, and continued through November of 2011. Initial system performance during the 2010 field season was good, with the production of net alkaline water, but hydraulic problems involving air release and limestone sand retention were observed. In the summer of 2011, a finer size of limestone sand was procured for use in the system. This material fluidized more readily, but acid neutralization tapered off after several days. Subsequent observations indicated that the hydraulics of the system was compromised by the formation of iron oxides in the pipe leading to the limestone bed, which affected water distribution and flow through the bed. Although results from the field trial were mixed, it is believed that without the formation of iron oxides and plugging of the pipe, better acid neutralization and treatment would have occurred. Further tests are being considered using a different hydraulic configuration for the limestone sand fluidized bed.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2nd Wyoming reclamation and restoration symposium and 30th annual meeting of the American society of mining and reclamation: Reclamation across industries","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2nd Wyoming Reclamation and Restoration Symposium and 30th Annual Meeting of the American Soceity of Mining and Reclamation: Reclamation Across Industries","language":"English","publisher":"American Society of Reclamation and Mining","publisherLocation":"Laramie, Wyoming","usgsCitation":"Sibrell, P.L., Denholm, C., and Dunn, M., 2013, Field trial of a pulsed limestone diversion well, in 2nd Wyoming reclamation and restoration symposium and 30th annual meeting of the American society of mining and reclamation: Reclamation across industries, 17 p.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045406","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":307788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Jennings Environmental Education Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.01359939575194,\n 41.003220862709\n ],\n [\n -80.01359939575194,\n 41.017534379059995\n ],\n [\n -79.99394416809082,\n 41.017534379059995\n ],\n [\n -79.99394416809082,\n 41.003220862709\n ],\n [\n -80.01359939575194,\n 41.003220862709\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e6cc2be4b05561fa20a008","contributors":{"authors":[{"text":"Sibrell, Philip L. psibrell@usgs.gov","contributorId":2006,"corporation":false,"usgs":true,"family":"Sibrell","given":"Philip","email":"psibrell@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":571048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denholm, C.","contributorId":147287,"corporation":false,"usgs":false,"family":"Denholm","given":"C.","email":"","affiliations":[],"preferred":false,"id":571049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Margaret","contributorId":147288,"corporation":false,"usgs":false,"family":"Dunn","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":571050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70046310,"text":"fs20133032 - 2013 - The 3D Elevation Program: summary for Wisconsin","interactions":[],"lastModifiedDate":"2016-08-17T16:17:52","indexId":"fs20133032","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","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":"2013-3032","title":"The 3D Elevation Program: summary for Wisconsin","docAbstract":"Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Wisconsin, elevation data are critical for agriculture and precision farming, natural resources conservation, flood risk management, infrastructure and construction management, water supply and quality, and other business uses. Today, high-quality light detection and ranging (lidar) data are the sources for creating elevation models and other elevation datasets. Federal, State, and local agencies work in partnership to (1) replace data, on a national basis, that are (on average) 30 years old and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data. The new 3D Elevation Program (3DEP) initiative, managed by the U.S. Geological Survey (USGS), responds to the growing need for high-quality topographic data and a wide range of other three-dimensional representations of the Nation’s natural and constructed features.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133032","usgsCitation":"Carswell, W., 2013, The 3D Elevation Program: summary for Wisconsin (Originally posted on June 6, 2013; Revised June 13, 2013): U.S. Geological Survey Fact Sheet 2013-3032, 2 p., https://doi.org/10.3133/fs20133032.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":273378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133032.gif"},{"id":273376,"type":{"id":15,"text":"Index 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\"}}]}","edition":"Originally posted on June 6, 2013; Revised June 13, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1a170e4b022a6a540f9a0","contributors":{"authors":[{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":479436,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046309,"text":"sir20135025 - 2013 - Hydrogeology of the West Branch Delaware River basin, Delaware County, New York","interactions":[],"lastModifiedDate":"2013-06-06T11:23:48","indexId":"sir20135025","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","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":"2013-5025","title":"Hydrogeology of the West Branch Delaware River basin, Delaware County, New York","docAbstract":"In 2009, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, began a study of the hydrogeology of the West Branch Delaware River (Cannonsville Reservoir) watershed. There has been recent interest by energy companies in developing the natural gas reserves that are trapped within the Marcellus Shale, which is part of the Hamilton Group of Devonian age that underlies all the West Branch Delaware River Basin. Knowing the extent and thickness of stratified-drift (sand and gravel) aquifers within this basin can help State and Federal regulatory agencies evaluate any effects on these aquifers that gas-well drilling might produce. This report describes the hydrogeology of the 455-square-mile basin in the southwestern Catskill Mountain region of southeastern New York and includes a detailed surficial geologic map of the basin. Analysis of surficial geologic data indicates that the most widespread surficial geologic unit within the basin is till, which is present as deposits of ablation till in major stream valleys and as thick deposits of lodgment till that fill upland basins. Till and colluvium (remobilized till) cover about 89 percent of the West Branch Delaware River Basin, whereas stratified drift (outwash and ice-contact deposits) and alluvium account for 8.9 percent. The Cannonsville Reservoir occupies about 1.9 percent of the basin area. Large areas of outwash and ice-contact deposits occupy the West Branch Delaware River valley along its entire length. These deposits form a stratified-drift aquifer that ranges in thickness from 40 to 50 feet (ft) in the upper West Branch Delaware River valley, from 70 to 140 ft in the middle West Branch Delaware River valley, and from 60 to 70 ft in the lower West Branch Delaware River valley. The gas-bearing Marcellus Shale underlies the entire West Branch Delaware River Basin and ranges in thickness from 600 to 650 ft along the northern divide of the basin to 750 ft thick along the southern divide. The depth to the top of the Marcellus Shale ranges from 3,240 ft along the northern basin divide to 4,150 ft along the southern basin divide. Yields of wells completed in the aquifer are as high as 500 gallons per minute (gal/min). Springs from fractured sandstone bedrock are an important source of domestic and small municipal water supplies in the West Branch Delaware River Basin and elsewhere in Delaware County. The average yield of 178 springs in Delaware County is 8.5 gal/min with a median yield of 3 gal/min. An analysis of two low-flow statistics indicates that groundwater contributions from fractured bedrock compose a significant part of the base flow of the West Branch Delaware River and its tributaries.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135025","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Reynolds, R.J., 2013, Hydrogeology of the West Branch Delaware River basin, Delaware County, New York: U.S. Geological Survey Scientific Investigations Report 2013-5025, Report: vi, 28 p.; 1 Map: 42 x 36 inches, https://doi.org/10.3133/sir20135025.","productDescription":"Report: vi, 28 p.; 1 Map: 42 x 36 inches","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":273375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135025.gif"},{"id":273374,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5025/pdf/Well_Locations_sheet.pdf"},{"id":273372,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5025/"},{"id":273373,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5025/pdf/sir2013-5025_reynolds_508.pdf"}],"scale":"100000","country":"United States","state":"New York","county":"Delaware","otherGeospatial":"West Branch Delaware River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.30,42 ], [ -75.30,42.30 ], [ -74.30,42.30 ], [ -74.30,42 ], [ -75.30,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1a16fe4b022a6a540f994","contributors":{"authors":[{"text":"Reynolds, Richard J. 0000-0001-5032-6613 rjreynol@usgs.gov","orcid":"https://orcid.org/0000-0001-5032-6613","contributorId":1082,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rjreynol@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479435,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70045114,"text":"70045114 - 2013 - Improving predictive power of physically based rainfall-induced shallow landslide models: a probablistic approach","interactions":[],"lastModifiedDate":"2013-06-08T08:47:03","indexId":"70045114","displayToPublicDate":"2013-06-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1819,"text":"Geoscientific Model Development and Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Improving predictive power of physically based rainfall-induced shallow landslide models: a probablistic approach","docAbstract":"Distributed models to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides are deterministic. These models extend spatially the static stability models adopted in geotechnical engineering and adopt an infinite-slope geometry to balance the resisting and the driving forces acting on the sliding mass. An infiltration model is used to determine how rainfall changes pore-water conditions, modulating the local stability/instability conditions. A problem with the existing models is the difficulty in obtaining accurate values for the several variables that describe the material properties of the slopes. The problem is particularly severe when the models are applied over large areas, for which sufficient information on the geotechnical and hydrological conditions of the slopes is not generally available. To help solve the problem, we propose a probabilistic Monte Carlo approach to the distributed modeling of shallow rainfall-induced landslides. For the purpose, we have modified the Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis (TRIGRS) code. The new code (TRIGRS-P) adopts a stochastic approach to compute, on a cell-by-cell basis, transient pore-pressure changes and related changes in the factor of safety due to rainfall infiltration. Infiltration is modeled using analytical solutions of partial differential equations describing one-dimensional vertical flow in isotropic, homogeneous materials. Both saturated and unsaturated soil conditions can be considered. TRIGRS-P copes with the natural variability inherent to the mechanical and hydrological properties of the slope materials by allowing values of the TRIGRS model input parameters to be sampled randomly from a given probability distribution. The range of variation and the mean value of the parameters can be determined by the usual methods used for preparing the TRIGRS input parameters. The outputs of several model runs obtained varying the input parameters are analyzed statistically, and compared to the original (deterministic) model output. The comparison suggests an improvement of the predictive power of the model of about 10% and 16% in two small test areas, i.e. the Frontignano (Italy) and the Mukilteo (USA) areas, respectively. We discuss the computational requirements of TRIGRS-P to determine the potential use of the numerical model to forecast the spatial and temporal occurrence of rainfall-induced shallow landslides in very large areas, extending for several hundreds or thousands of square kilometers. Parallel execution of the code using a simple process distribution and the Message Passing Interface (MPI) on multi-processor machines was successful, opening the possibly of testing the use of TRIGRS-P for the operational forecasting of rainfall-induced shallow landslides over large regions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geoscientific Model Development and Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/gmdd-6-1367-2013","usgsCitation":"Raia, S., Alvioli, M., Rossi, M., Baum, R., Godt, J., and Guzzetti, F., 2013, Improving predictive power of physically based rainfall-induced shallow landslide models: a probablistic approach: Geoscientific Model Development and Discussions, v. 6, p. 1367-1426, https://doi.org/10.5194/gmdd-6-1367-2013.","productDescription":"10 p.","startPage":"1367","endPage":"1426","ipdsId":"IP-042922","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gmdd-6-1367-2013","text":"Publisher Index Page"},{"id":273410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273409,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/gmdd-6-1367-2013"}],"volume":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b1a170e4b022a6a540f998","contributors":{"authors":[{"text":"Raia, S.","contributorId":35218,"corporation":false,"usgs":true,"family":"Raia","given":"S.","email":"","affiliations":[],"preferred":false,"id":476837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvioli, M.","contributorId":36829,"corporation":false,"usgs":true,"family":"Alvioli","given":"M.","affiliations":[],"preferred":false,"id":476838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossi, M.","contributorId":16301,"corporation":false,"usgs":true,"family":"Rossi","given":"M.","email":"","affiliations":[],"preferred":false,"id":476836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baum, R.L.","contributorId":68752,"corporation":false,"usgs":true,"family":"Baum","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":476840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godt, J. W.","contributorId":76732,"corporation":false,"usgs":true,"family":"Godt","given":"J. W.","affiliations":[],"preferred":false,"id":476841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guzzetti, F.","contributorId":46732,"corporation":false,"usgs":true,"family":"Guzzetti","given":"F.","email":"","affiliations":[],"preferred":false,"id":476839,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70046263,"text":"ofr20131111 - 2013 - Development of a numerical model to simulate groundwater flow in the shallow aquifer system of Assateague Island, Maryland and Virginia","interactions":[],"lastModifiedDate":"2018-05-17T13:28:28","indexId":"ofr20131111","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","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":"2013-1111","title":"Development of a numerical model to simulate groundwater flow in the shallow aquifer system of Assateague Island, Maryland and Virginia","docAbstract":"A three-dimensional groundwater-flow model was developed for Assateague Island in eastern Maryland and Virginia to simulate both groundwater flow and solute (salt) transport to evaluate the groundwater system response to sea-level rise. The model was constructed using geologic and spatial information to represent the island geometry, boundaries, and physical properties and was calibrated using an inverse modeling parameter-estimation technique. An initial transient solute-transport simulation was used to establish the freshwater-saltwater boundary for a final calibrated steady-state model of groundwater flow. This model was developed as part of an ongoing investigation by the U.S. Geological Survey Climate and Land Use Change Research and Development Program to improve capabilities for predicting potential climate-change effects and provide the necessary tools for adaptation and mitigation of potentially adverse impacts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131111","usgsCitation":"Masterson, J., Fienen, M., Gesch, D.B., and Carlson, C.S., 2013, Development of a numerical model to simulate groundwater flow in the shallow aquifer system of Assateague Island, Maryland and Virginia: U.S. Geological Survey Open-File Report 2013-1111, vi, 34 p., https://doi.org/10.3133/ofr20131111.","productDescription":"vi, 34 p.","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":273221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131111.gif"},{"id":273217,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1111/pdf/ofr2013-1111_report_508.pdf"},{"id":273216,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1111/"}],"otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4376220703125,\n 37.83798775896515\n ],\n [\n -75.34698486328125,\n 38.07620357665235\n ],\n [\n -75.1629638671875,\n 38.35888785866677\n ],\n [\n -75.0421142578125,\n 38.51378825951165\n ],\n [\n -75.00640869140625,\n 38.417014454352035\n ],\n [\n -75.234375,\n 37.898697801966094\n ],\n [\n -75.4376220703125,\n 37.83798775896515\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe58e4b08a3322c2c24c","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":479350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlson, Carl S. 0000-0001-7142-3519 cscarlso@usgs.gov","orcid":"https://orcid.org/0000-0001-7142-3519","contributorId":1694,"corporation":false,"usgs":true,"family":"Carlson","given":"Carl","email":"cscarlso@usgs.gov","middleInitial":"S.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479348,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046248,"text":"ds770 - 2013 - Groundwater well inventory and assessment in the area of the proposed Normally Pressured Lance natural gas development project, Green River Basin, Wyoming, 2012","interactions":[],"lastModifiedDate":"2013-06-04T09:41:04","indexId":"ds770","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","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":"770","title":"Groundwater well inventory and assessment in the area of the proposed Normally Pressured Lance natural gas development project, Green River Basin, Wyoming, 2012","docAbstract":"During May through September 2012, the U.S. Geological Survey, in cooperation with the Bureau of Land Management, inventoried and assessed existing water wells in southwestern Wyoming for inclusion in a possible groundwater-monitor network. Records were located for 3,282 wells in the upper Green River Basin, which includes the U.S. Geological Survey study area and the proposed Normally Pressured Lance natural gas development project area. Records for 2,713 upper Green River Basin wells were determined to be unique (not duplicated) and to have a Wyoming State Engineers Office permit. Further, 376 of these wells were within the U.S. Geological Survey Normally Pressured Lance study area. Of the 376 wells in the U.S. Geological Survey Normally Pressured Lance study area, 141 well records had sufficient documentation, such as well depth, open interval, geologic log, and depth to water, to meet many, but not always all, established monitor well criteria. Efforts were made to locate each of the 141 wells and to document their current condition. Field crews were able to locate 121 of the wells, and the remaining 20 wells either were not located as described, or had been abandoned and the site reclaimed. Of the 121 wells located, 92 were found to meet established monitor well criteria. Results of the field efforts during May through September 2012, and specific physical characteristics of the 92 wells, are presented in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds770","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Sweat, M.J., 2013, Groundwater well inventory and assessment in the area of the proposed Normally Pressured Lance natural gas development project, Green River Basin, Wyoming, 2012: U.S. Geological Survey Data Series 770, v, 27 p., https://doi.org/10.3133/ds770.","productDescription":"v, 27 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-05-01","temporalEnd":"2012-09-30","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":273148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds770.gif"},{"id":273146,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/770/"},{"id":273147,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/770/ds770.pdf"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,41.0 ], [ -111.0,45.0 ], [ -104.0,45.0 ], [ -104.0,41.0 ], [ -111.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe59e4b08a3322c2c25c","contributors":{"authors":[{"text":"Sweat, Michael J. mjsweat@usgs.gov","contributorId":356,"corporation":false,"usgs":true,"family":"Sweat","given":"Michael","email":"mjsweat@usgs.gov","middleInitial":"J.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479298,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70046291,"text":"sir20135077 - 2013 - Properties of basin-fill deposits, a 1971–2000 water budget, and surface-water-groundwater interactions in the upper Humboldt River basin, northeastern Nevada","interactions":[],"lastModifiedDate":"2017-12-19T13:20:31","indexId":"sir20135077","displayToPublicDate":"2013-06-04T00:00:00","publicationYear":"2013","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":"2013-5077","title":"Properties of basin-fill deposits, a 1971–2000 water budget, and surface-water-groundwater interactions in the upper Humboldt River basin, northeastern Nevada","docAbstract":"This study was done in cooperation with Elko County, Nevada in response to concerns over growing demand for water within the county and increasing external demands that are occurring statewide. The upper Humboldt River basin encompasses 4,360 square miles in northeastern Nevada and includes the headwaters area of the Humboldt River. Nearly all of the mean annual flow of the Humboldt River originates in this area. Basin-fill deposits function as the principal aquifers in the upper Humboldt River basin. Over much of the basin lowlands, the upper 200 feet of basin fill consists of clay, silt, sand, and gravel deposited in a lake of middle to late Pliocene age. Fine-grained lacustrine sediments compose from 30 to more than 70 percent of the deposits. Mean values of transmissivity are less than 1,000 feet squared per day. Total inflow to the upper Humboldt River basin, about 3,330,000 acre-feet per year, is entirely from annual precipitation. Total outflow from the basin, about 3,330,000 acre-feet per year, occurs as evapotranspiration, streamflow, subsurface flow, and pumpage. The uncertainty of these values of inflow and outflow is estimated to be 25 percent.\n\nBaseflow of the Humboldt River is minimal upstream of the Elko Hills and in downstream reaches almost all baseflow comes from tributary inflow of the North Fork and South Fork Humboldt Rivers. However, the baseflow of these two tributaries comes from groundwater discharge to their respective channels in canyons incised in volcanic rocks along the North Fork and in carbonate rocks along the South Fork. Water levels in the shallow water-table aquifer along the Humboldt River flood plain fluctuate with changes in stage of the river. During high rising river stage in spring and early summer, streamflow enters the aquifer as bank storage. As stage begins to decline in early to mid-summer groundwater in bank storage begins discharging back into the river channel and this continues through late summer. In years of below average flow some reaches of the river are dry in late summer. Flood plain deposits are more permeable than adjacent and underlying fine-grained sediments of the Pliocene lake and the two aquifers are poorly connected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135077","usgsCitation":"Plume, R.W., and Smith, J.L., 2013, Properties of basin-fill deposits, a 1971–2000 water budget, and surface-water-groundwater interactions in the upper Humboldt River basin, northeastern Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5077, Report: vii, 46 p.; Data release, https://doi.org/10.3133/sir20135077.","productDescription":"Report: vii, 46 p.; Data release","numberOfPages":"57","additionalOnlineFiles":"N","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":438788,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1FCJDTX","text":"USGS data release","linkHelpText":"Data for the report Properties of Basin-Fill Deposits, a 1971–2000 Water Budget, and Surface-Water-Groundwater Interactions in the Upper Humboldt River Basin, Northeastern Nevada"},{"id":273290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135077.jpg"},{"id":345501,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7668BN7","text":"USGS data release","description":"USGS data release","linkHelpText":"Evapotranspiration units and potential areas of groundwater discharge delineated July 20–24, 2009 in the upper Humboldt River Basin, northeastern Nevada"},{"id":273289,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5077/pdf/sir2013-5077.pdf"},{"id":273288,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5077/"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.0,35.0 ], [ -120.0,42.0 ], [ -114.0,42.0 ], [ -114.0,35.0 ], [ -120.0,35.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51aefe5be4b08a3322c2c274","contributors":{"authors":[{"text":"Plume, Russell W. rwplume@usgs.gov","contributorId":2303,"corporation":false,"usgs":true,"family":"Plume","given":"Russell","email":"rwplume@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":479384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, J. LaRue jlsmith@usgs.gov","contributorId":1863,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"jlsmith@usgs.gov","middleInitial":"LaRue","affiliations":[],"preferred":true,"id":479385,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046228,"text":"sir20135068 - 2013 - Mercury in wetlands at the Glacial Ridge National Wildlife Refuge, northwestern Minnesota, 2007-9","interactions":[],"lastModifiedDate":"2013-06-03T13:22:23","indexId":"sir20135068","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","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":"2013-5068","title":"Mercury in wetlands at the Glacial Ridge National Wildlife Refuge, northwestern Minnesota, 2007-9","docAbstract":"The Glacial Ridge National Wildlife Refuge was established in 2004 on land in northwestern Minnesota that had previously undergone extensive wetland and prairie restorations. About 7,000 acres of drained wetlands were restored to their original hydrologic function and aquatic ecosystem. During 2007–9, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service and the Red Lake Watershed District, analyzed mercury concentrations in wetland water and sediment to evaluate the effect of wetland restoration on mercury methylation. The wetland waters sampled generally were of the calcium/magnesium bicarbonate type. Nitrogen in water was mostly in the form of dissolved-organic nitrogen, with very low dissolved-nitrate and dissolved-ammonia concentrations. About 71 percent of all phosphorus in water was dissolved, with one-half of that in the form of orthophosphorus. Wetland water had total-mercury and methylmercury concentrations ranging from 1.5 to 20 nanograms per liter (ng/L) and 0.2 to 16 ng/L, respectively. Median concentrations were 7.1 and 2.9 ng/L, respectively. About one-half of the mercury in wetland water samples was in the form of methylmercury, but this form ranged from 7 to 81 percent of each sample.\n\nCompared to concentrations in stream sediment samples collected throughout the United States, Glacial Ridge National Wildlife Refuge wetland sediment samples contained typical total-mercury concentrations, but methylmercury concentrations were nearly twice as high. The maximum concentration measured in Glacial Ridge National Wildlife Refuge wetland water approached the highest published water methylmercury concentration in uncontaminated waters of which we are aware. However, the upper quartile of water methylmercury concentrations is similar to concentrations reported for some impoundments and wetlands in northwestern Minnesota and North Dakota. Methylmercury concentrations in sampled wetlands were much higher than those from typical lakes or flowing streams throughout the United States.\n\nThe high concentrations of methylmercury measured in sampled wetlands indicate the potential for substantial methylmercury concentrations in aquatic biota and wildlife that consume those biota. These wetlands also are a methylmercury source for downstream lakes and rivers. The high concentrations of methylmercury in water, its bioaccumulation potential, and its known toxicity in aquatic birds and food webs highlight a need to assess methylmercury in the biota within these ecosystems. Better understanding of factors that control methylmercury production concentrations within aquatic food webs in ecosystems of the Glacial Ridge National Wildlife Refuge would enable resource managers to better understand and manage risk to wildlife.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135068","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and the Red Lake Watershed District","usgsCitation":"Cowdery, T.K., and Brigham, M.E., 2013, Mercury in wetlands at the Glacial Ridge National Wildlife Refuge, northwestern Minnesota, 2007-9: U.S. Geological Survey Scientific Investigations Report 2013-5068, iv, 17 p., https://doi.org/10.3133/sir20135068.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","temporalStart":"2007-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":273099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135068.gif"},{"id":273096,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5068/"},{"id":273098,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5068/pdf/sir2013-5068.pdf"}],"country":"United States","state":"Minnesota","otherGeospatial":"Glacial Ridge National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.3949,47.6441 ], [ -96.3949,47.7605 ], [ -96.0,47.7605 ], [ -96.0,47.6441 ], [ -96.3949,47.6441 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adace4e4b07c214e64bcc7","contributors":{"authors":[{"text":"Cowdery, Timothy K. 0000-0001-9402-6575 cowdery@usgs.gov","orcid":"https://orcid.org/0000-0001-9402-6575","contributorId":456,"corporation":false,"usgs":true,"family":"Cowdery","given":"Timothy","email":"cowdery@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":479229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brigham, Mark E. 0000-0001-7412-6800 mbrigham@usgs.gov","orcid":"https://orcid.org/0000-0001-7412-6800","contributorId":1840,"corporation":false,"usgs":true,"family":"Brigham","given":"Mark","email":"mbrigham@usgs.gov","middleInitial":"E.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479230,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046242,"text":"pp1798E - 2013 - Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","interactions":[{"subject":{"id":70046242,"text":"pp1798E - 2013 - Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","indexId":"pp1798E","publicationYear":"2013","noYear":false,"chapter":"E","title":"Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:21:34.384986","indexId":"pp1798E","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"E","title":"Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri","docAbstract":"The U.S. Geological Survey initiated a substantial effort in the summer of 2011 to measure and document the record-setting floods of the Mississippi and Ohio Rivers, including the reach in and near the New Madrid Floodway. The activation of the floodway, which had not occurred since 1937, provided a rare opportunity to collect a unique dataset describing a flood wave downstream from a levee breach as well as the flow through a large floodway. A total of 42 submersible pressure transducers collected time series of water levels while crews collected hundreds of depth, velocity, and streamflow measurements at selected locations in and near the floodway throughout the period from late April to late June. These data are presented in this chapter.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798E","usgsCitation":"Koenig, T.A., and Holmes, R.R., 2013, Documenting the stages and streamflows associated with the 2011 activation of the New Madrid Floodway, Missouri: U.S. Geological Survey Professional Paper 1798, Report: v, 31 p.; USGS 2011 New Madrid Floodway Data Archive, https://doi.org/10.3133/pp1798E.","productDescription":"Report: v, 31 p.; USGS 2011 New Madrid Floodway Data Archive","numberOfPages":"42","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":273128,"rank":1,"type":{"id":9,"text":"Database"},"url":"https://water.usgs.gov/floods/events/2011/BPNM/data_archive/"},{"id":273127,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798e/pdf/pp1798e.pdf"},{"id":273126,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798e/"},{"id":273129,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798e.gif"}],"country":"United States","state":"Missouri","otherGeospatial":"New Madrid Floodway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.77,36.0 ], [ -95.77,40.61 ], [ -89.1,40.61 ], [ -89.1,36.0 ], [ -95.77,36.0 ] ] ] } } ] }","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adaccfe4b07c214e64bcb7","contributors":{"authors":[{"text":"Koenig, Todd A. 0000-0001-5635-0219 tkoenig@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-0219","contributorId":4463,"corporation":false,"usgs":true,"family":"Koenig","given":"Todd","email":"tkoenig@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":479267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046235,"text":"70046235 - 2013 - The timing of scour and fill in a gravel-bedded river measured with buried accelerometers","interactions":[],"lastModifiedDate":"2016-05-27T13:26:16","indexId":"70046235","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The timing of scour and fill in a gravel-bedded river measured with buried accelerometers","docAbstract":"A device that measures the timing of streambed scour and the duration of sediment mobilization at specific depths of a streambed was developed using data-logging accelerometers placed within the gravel substrate of the Cedar River, Washington, USA. Each accelerometer recorded its orientation every 20 min and remained stable until the surrounding gravel matrix mobilized as sediment was transported downstream and scour reached the level of the accelerometer. The accelerometer scour monitors were deployed at 26 locations in salmon-spawning habitat during the 2010–2011 flood season to record when the streambed was scoured to the depth of typical egg-pocket deposition. Scour was recorded at one location during a moderate high-flow event (65 m3/s; 1.25–1.5-year recurrence interval) and at 17 locations during a larger high-flow event (159 m3/s; 7-year recurrence interval). Accelerometer scour monitors recorded periods of intermittent sediment mobilization and stability within a high-flow event providing insight into the duration of scour. Most scour was recorded during the rising limb and at the peak of a flood hydrograph, though some scour occurred during sustained high flows following the peak of the flood hydrograph.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.05.012","usgsCitation":"Gendaszek, A.S., Magirl, C.S., Czuba, C.R., and Konrad, C.P., 2013, The timing of scour and fill in a gravel-bedded river measured with buried accelerometers: Journal of Hydrology, v. 495, p. 186-196, https://doi.org/10.1016/j.jhydrol.2013.05.012.","productDescription":"11 p.","startPage":"186","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044142","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":273131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273130,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhydrol.2013.05.012"}],"volume":"495","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51adace4e4b07c214e64bccf","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479248,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70046231,"text":"ofr20131119 - 2013 - Landscape consequences of natural gas extraction in Fayette and Lycoming Counties, Pennsylvania, 2004–2010","interactions":[],"lastModifiedDate":"2016-08-19T17:34:04","indexId":"ofr20131119","displayToPublicDate":"2013-06-03T00:00:00","publicationYear":"2013","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":"2013-1119","title":"Landscape consequences of natural gas extraction in Fayette and Lycoming Counties, Pennsylvania, 2004–2010","docAbstract":"Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Fayette County and Lycoming County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131119","usgsCitation":"Slonecker, E., Milheim, L., Roig-Silva, C., Malizia, A., and Gillenwater, B., 2013, Landscape consequences of natural gas extraction in Fayette and Lycoming Counties, Pennsylvania, 2004–2010: U.S. Geological Survey Open-File Report 2013-1119, v, 35 p., https://doi.org/10.3133/ofr20131119.","productDescription":"v, 35 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":273109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131119.gif"},{"id":273106,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1119/"},{"id":273107,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1119/OFR2013-1119.pdf","text":"Report","size":"7.31 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A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":479241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillenwater, B.H.","contributorId":20635,"corporation":false,"usgs":true,"family":"Gillenwater","given":"B.H.","email":"","affiliations":[],"preferred":false,"id":479238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70040561,"text":"70040561 - 2013 - Variations in surface water-ground water interactions along a headwater mountain stream : comparisons between transient storage and water balance analyses","interactions":[],"lastModifiedDate":"2014-02-26T15:20:53","indexId":"70040561","displayToPublicDate":"2013-06-01T15:11:52","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Variations in surface water-ground water interactions along a headwater mountain stream : comparisons between transient storage and water balance analyses","docAbstract":"The accumulation of discharge along a stream valley is frequently assumed to be the primary control on solute transport processes. Relationships of both increasing and decreasing transient storage, and decreased gross losses of stream water have been reported with increasing discharge; however, we have yet to validate these relationships with extensive field study. We conducted transient storage and mass recovery analyses of artificial tracer studies completed for 28 contiguous 100 m reaches along a stream valley, repeated under four base-flow conditions. We calculated net and gross gains and losses, temporal moments of tracer breakthrough curves, and best fit transient storage model parameters (with uncertainty estimates) for 106 individual tracer injections. Results supported predictions that gross loss of channel water would decrease with increased discharge. However, results showed no clear relationship between discharge and transient storage, and further analysis of solute tracer methods demonstrated that the lack of this relation may be explained by uncertainty and equifinality in the transient storage model framework. Furthermore, comparison of water balance and transient storage approaches reveals complications in clear interpretation of either method due to changes in advective transport time, which sets a the temporal boundary separating transient storage and channel water balance. We have little ability to parse this limitation of solute tracer methods from the physical processes we seek to study. We suggest the combined analysis of both transient storage and channel water balance more completely characterizes transport of solutes in stream networks than can be inferred from either method alone.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20148","usgsCitation":"Ward, A.S., Payn, R.A., Gooseff, M.N., McGlynn, B.L., Bencala, K.E., Kelleher, C.A., Wondzell, S.M., and Wagener, T., 2013, Variations in surface water-ground water interactions along a headwater mountain stream : comparisons between transient storage and water balance analyses: Water Resources Research, v. 49, p. 3359-3374, https://doi.org/10.1002/wrcr.20148.","productDescription":"16 p.","startPage":"3359","endPage":"3374","ipdsId":"IP-038702","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true}],"links":[{"id":473782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20148","text":"Publisher Index Page"},{"id":282865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282864,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20148"}],"country":"United States","state":"Montana","otherGeospatial":"Tenderfoot Creek Experimental Forest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.892,46.92 ], [ -110.892,46.93 ], [ -110.891,46.93 ], [ -110.891,46.92 ], [ -110.892,46.92 ] ] ] } } ] }","volume":"49","noUsgsAuthors":false,"publicationDate":"2013-06-14","publicationStatus":"PW","scienceBaseUri":"53cd7afbe4b0b2908510dd5d","contributors":{"authors":[{"text":"Ward, Adam S.","contributorId":11508,"corporation":false,"usgs":true,"family":"Ward","given":"Adam","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":468530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payn, Robert A.","contributorId":36461,"corporation":false,"usgs":true,"family":"Payn","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, Michael N.","contributorId":71880,"corporation":false,"usgs":true,"family":"Gooseff","given":"Michael","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":468534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGlynn, Brian L.","contributorId":83012,"corporation":false,"usgs":true,"family":"McGlynn","given":"Brian","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":468536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":468529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelleher, Christa A.","contributorId":46417,"corporation":false,"usgs":true,"family":"Kelleher","given":"Christa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wondzell, Steven M.","contributorId":80189,"corporation":false,"usgs":true,"family":"Wondzell","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagener, Thorsten","contributorId":22658,"corporation":false,"usgs":true,"family":"Wagener","given":"Thorsten","affiliations":[],"preferred":false,"id":468531,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70057620,"text":"70057620 - 2013 - The influence of vegetation on the hydrodynamics and geomorphology of a tree island in Everglades National Park (Florida, United States)","interactions":[],"lastModifiedDate":"2014-04-07T15:05:33","indexId":"70057620","displayToPublicDate":"2013-06-01T14:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of vegetation on the hydrodynamics and geomorphology of a tree island in Everglades National Park (Florida, United States)","docAbstract":"Transpiration-driven nutrient accumulation has been identified as a potential mechanism governing the creation and maintenance of wetland vegetation patterning. This process may contribute to the formation of nutrient-rich tree islands within the expansive oligotrophic marshes of the Everglades (Florida, United States). This study presents hydrogeochemical data indicating that tree root water uptake is a primary driver of groundwater ion accumulation across one of these islands. Sap flow, soil moisture, water level, water chemistry, and rainfall were measured to identify the relationships between climate, transpiration, and groundwater uptake by phreatophytes and to examine the effect this uptake has on groundwater chemistry and mineral formation in three woody plant communities of differing elevations. During the dry season, trees relied more on groundwater for transpiration, which led to a depressed water table and the advective movement of groundwater and dissolved ions, including phosphorus, from the surrounding marsh towards the centre of the island. Ion exclusion during root water uptake led to elevated concentrations of all major dissolved ions in the tree island groundwater compared with the adjacent marsh. Groundwater was predominately supersaturated with respect to aragonite and calcite in the lower-elevation woody communities, indicating the potential for soil formation. Elevated groundwater phosphorous concentrations detected in the highest-elevation woody community were associated with the leaching of inorganic sediments (i.e. hydroxyapatite) in the vadose zone. Understanding the complex feedback mechanisms regulating plant/groundwater/surface water interactions, nutrient dynamics, and potential soil formation is necessary to manage and restore patterned wetlands such as the Everglades.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecohydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/eco.1394","usgsCitation":"Sullivan, P.L., Engel, V.C., Ross, M.S., and Price, R.M., 2013, The influence of vegetation on the hydrodynamics and geomorphology of a tree island in Everglades National Park (Florida, United States): Ecohydrology, v. 7, no. 2, p. 727-744, https://doi.org/10.1002/eco.1394.","productDescription":"18 p.","startPage":"727","endPage":"744","ipdsId":"IP-039164","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":279853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279852,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/eco.1394"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5205,24.851 ], [ -81.5205,25.8915 ], [ -80.3887,25.8915 ], [ -80.3887,24.851 ], [ -81.5205,24.851 ] ] ] } } ] }","volume":"7","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-06-10","publicationStatus":"PW","scienceBaseUri":"5295d12be4b0becc369c8c9f","contributors":{"authors":[{"text":"Sullivan, Pamela L.","contributorId":107605,"corporation":false,"usgs":true,"family":"Sullivan","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":486864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor C. 0000-0002-3858-7308 vengel@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":2329,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","email":"vengel@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":486861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Michael S.","contributorId":45406,"corporation":false,"usgs":true,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":486862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Price, Rene M.","contributorId":52880,"corporation":false,"usgs":true,"family":"Price","given":"Rene","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70198329,"text":"70198329 - 2013 - Hydrologic controls on the transport and cycling of carbon and nitrogen in a boreal catchment underlain by continuous permafrost","interactions":[],"lastModifiedDate":"2018-07-30T15:57:30","indexId":"70198329","displayToPublicDate":"2013-06-01T14:49:34","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic controls on the transport and cycling of carbon and nitrogen in a boreal catchment underlain by continuous permafrost","docAbstract":"Boreal ecosystems represent a large carbon (C) reservoir and a substantial source of greenhouse gases. Hydrologic conditions dictate whether C leached from boreal soils is processed in catchments or flushed to less productive environments via the stream. This study quantified hydrologic and biogeochemical C loss from a boreal catchment underlain by frozen silt, where flowpaths may deepen as the active layer thaws over the summer. We hypothesized a decrease in the magnitude of C mineralization over the summer associated with changing flowpaths and decreasing hydrologic connectivity, organic matter lability, and nitrogen (N) availability. Conservative tracers were used to partition C and N loss between catchment export and biogeochemical processing. Coupling tracers with tributary and porewater chemistry indicated C and N cycling in soil flowpaths, with an exponential decrease over the summer. Nitrate was primarily reduced in hillslope flowpaths and the lack of N reaching the stream appeared to limit C mineralization. Stream export accounted for the greatest loss of C, removing 247 and 113 mol hr−1 in the early and late summer, respectively. Reactivity was related to hydrologic connectivity between the soils and stream, which was greatest early in the summer and following a large flood. While a warming climate may increase storage potential in thawed soils, the early‐season flush of labile material and late‐season runoff through mineral flowpaths may maintain high C export rates. Therefore, we highlight physical export as a dominant cause of aqueous C loss from silty catchments as the Arctic continues to thaw.
","language":"English","publisher":"Wiley","doi":"10.1002/jgrg.20058","usgsCitation":"Koch, J.C., Runkel, R.L., Striegl, R.G., and McKnight, D.M., 2013, Hydrologic controls on the transport and cycling of carbon and nitrogen in a boreal catchment underlain by continuous permafrost: Journal of Geophysical Research G: Biogeosciences, v. 118, no. 2, p. 698-712, https://doi.org/10.1002/jgrg.20058.","productDescription":"15 p.","startPage":"698","endPage":"712","ipdsId":"IP-045136","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":473784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrg.20058","text":"Publisher Index Page"},{"id":356005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"5b6fd314e4b0f5d57878ed5e","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":741067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"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":false,"id":741069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":741070,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70107952,"text":"70107952 - 2013 - Macroinvertebrate diets reflect tributary inputs and turbidity-driven changes in food availability in the Colorado River downstream of Glen Canyon Dam","interactions":[],"lastModifiedDate":"2014-05-23T14:24:20","indexId":"70107952","displayToPublicDate":"2013-06-01T14:20:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Macroinvertebrate diets reflect tributary inputs and turbidity-driven changes in food availability in the Colorado River downstream of Glen Canyon Dam","docAbstract":"Physical changes to rivers associated with large dams (e.g., water temperature) directly alter macroinvertebrate assemblages. Large dams also may indirectly alter these assemblages by changing the food resources available to support macroinvertebrate production. We examined the diets of the 4 most common macroinvertebrate taxa in the Colorado River through Glen and Grand Canyons, seasonally, at 6 sites for 2.5 y. We compared macroinvertebrate diet composition to the composition of epilithon (rock and cliff faces) communities and suspended organic seston to evaluate the degree to which macroinvertebrate diets tracked downstream changes in resource availability. Diets contained greater proportions of algal resources in the tailwater of Glen Canyon Dam and more terrestrial-based resources at sites downstream of the 1st major tributary. As predicted, macroinvertebrate diets tracked turbidity-driven changes in resource availability, and river turbidity partially explained variability in macroinvertebrate diets. The relative proportions of resources assimilated by macroinvertebrates ranged from dominance by algae to terrestrial-based resources, despite greater assimilation efficiencies for algal than terrestrial C. Terrestrial resources were most important during high turbidity conditions, which occurred during the late-summer monsoon season (July–October) when tributaries contributed large amounts of organic matter to the mainstem and suspended sediments reduced algal production. Macroinvertebrate diets were influenced by seasonal changes in tributary inputs and turbidity, a result suggesting macroinvertebrate diets in regulated rivers may be temporally dynamic and driven by tributary inputs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society for Freshwater Science","doi":"10.1899/12-088.1","usgsCitation":"Wellard Kelly, H.A., Rosi-Marshall, E.J., Kennedy, T., Hall, R., Cross, W.F., and Baxter, C., 2013, Macroinvertebrate diets reflect tributary inputs and turbidity-driven changes in food availability in the Colorado River downstream of Glen Canyon Dam: Freshwater Science, v. 32, no. 2, p. 397-410, https://doi.org/10.1899/12-088.1.","productDescription":"14 p.","startPage":"397","endPage":"410","numberOfPages":"14","ipdsId":"IP-033489","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":287566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/12-088.1"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Glen Canyon;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0,35.5 ], [ -114.0,37.5 ], [ -111.0,37.5 ], [ -111.0,35.5 ], [ -114.0,35.5 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53805249e4b0826cd501674c","contributors":{"authors":[{"text":"Wellard Kelly, Holly A.","contributorId":72115,"corporation":false,"usgs":true,"family":"Wellard Kelly","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosi-Marshall, Emma J.","contributorId":17722,"corporation":false,"usgs":true,"family":"Rosi-Marshall","given":"Emma","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":493938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":50227,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":493940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":493943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Wyatt F.","contributorId":70881,"corporation":false,"usgs":true,"family":"Cross","given":"Wyatt","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":493941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baxter, Colden V.","contributorId":47334,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":13656,"text":"Idaho State Univ.","active":true,"usgs":false}],"preferred":false,"id":493939,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048422,"text":"70048422 - 2013 - A Unified Flash Flood Database across the United States","interactions":[],"lastModifiedDate":"2023-03-10T12:35:56.209488","indexId":"70048422","displayToPublicDate":"2013-06-01T13:21:02","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"A Unified Flash Flood Database across the United States","docAbstract":"Despite flash flooding being one of the most deadly and costly weather-related natural hazards worldwide, individual datasets to characterize them in the United States are hampered by limited documentation and can be difficult to access. This study is the first of its kind to assemble, reprocess, describe, and disseminate a georeferenced U.S. database providing a long-term, detailed characterization of flash flooding in terms of spatiotemporal behavior and specificity of impacts. The database is composed of three primary sources: 1) the entire archive of automated discharge observations from the U.S. Geological Survey that has been reprocessed to describe individual flooding events, 2) flash-flooding reports collected by the National Weather Service from 2006 to the present, and 3) witness reports obtained directly from the public in the Severe Hazards Analysis and Verification Experiment during the summers 2008–10. Each observational data source has limitations; a major asset of the unified flash flood database is its collation of relevant information from a variety of sources that is now readily available to the community in common formats. It is anticipated that this database will be used for many diverse purposes, such as evaluating tools to predict flash flooding, characterizing seasonal and regional trends, and improving understanding of dominant flood-producing processes. We envision the initiation of this community database effort will attract and encompass future datasets.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-12-00198.1","usgsCitation":"Gourley, J., Hong, Y., Flamig, Z.L., Arthur, A., Clark, R., Calianno, M., Ruin, I., Ortel, T., Wieczorek, M., Kirstetter, P., Clark, E., and Krajewski, W.F., 2013, A Unified Flash Flood Database across the United States: Bulletin of the American Meteorological Society, v. 94, no. 6, p. 799-805, https://doi.org/10.1175/BAMS-D-12-00198.1.","productDescription":"7 p.","startPage":"799","endPage":"805","ipdsId":"IP-038441","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":473789,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-12-00198.1","text":"Publisher Index Page"},{"id":278144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383 ], [ -66.95,49.383 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"94","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-01","publicationStatus":"PW","scienceBaseUri":"52455761e4b0b3d37307e168","contributors":{"authors":[{"text":"Gourley, Jonathan J.","contributorId":100733,"corporation":false,"usgs":true,"family":"Gourley","given":"Jonathan J.","affiliations":[],"preferred":false,"id":484607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Yang","contributorId":67000,"corporation":false,"usgs":true,"family":"Hong","given":"Yang","affiliations":[],"preferred":false,"id":484604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flamig, Zachary L.","contributorId":62515,"corporation":false,"usgs":true,"family":"Flamig","given":"Zachary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":484603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arthur, Ami","contributorId":79012,"corporation":false,"usgs":true,"family":"Arthur","given":"Ami","email":"","affiliations":[],"preferred":false,"id":484605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Robert","contributorId":40471,"corporation":false,"usgs":true,"family":"Clark","given":"Robert","affiliations":[],"preferred":false,"id":484601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calianno, Martin","contributorId":60115,"corporation":false,"usgs":true,"family":"Calianno","given":"Martin","email":"","affiliations":[],"preferred":false,"id":484602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruin, Isabelle","contributorId":34419,"corporation":false,"usgs":true,"family":"Ruin","given":"Isabelle","email":"","affiliations":[],"preferred":false,"id":484600,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ortel, Terry W. tortel@usgs.gov","contributorId":2822,"corporation":false,"usgs":true,"family":"Ortel","given":"Terry W.","email":"tortel@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":484597,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirstetter, Pierre-Emmanuel","contributorId":91399,"corporation":false,"usgs":true,"family":"Kirstetter","given":"Pierre-Emmanuel","affiliations":[],"preferred":false,"id":484606,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, Edward","contributorId":106747,"corporation":false,"usgs":true,"family":"Clark","given":"Edward","affiliations":[],"preferred":false,"id":484608,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krajewski, Witold F.","contributorId":27348,"corporation":false,"usgs":true,"family":"Krajewski","given":"Witold","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":484599,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ]}