Concern over the potential impact of anthropogenic climate change on flooding has led to a proliferation of studies examining past flood trends. Many studies have analysed annual-maximum flow trends but few have quantified changes in major (25–100 year return period) floods, i.e. those that have the greatest societal impacts. Existing major-flood studies used a limited number of very large catchments affected to varying degrees by alterations such as reservoirs and urbanisation. In the current study, trends in major-flood occurrence from 1961 to 2010 and from 1931 to 2010 were assessed using a very large dataset (>1200 gauges) of diverse catchments from North America and Europe; only minimally altered catchments were used, to focus on climate-driven changes rather than changes due to catchment alterations. Trend testing of major floods was based on counting the number of exceedances of a given flood threshold within a group of gauges. Evidence for significant trends varied between groups of gauges that were defined by catchment size, location, climate, flood threshold and period of record, indicating that generalizations about flood trends across large domains or a diversity of catchment types are ungrounded. Overall, the number of significant trends in major-flood occurrence across North America and Europe was approximately the number expected due to chance alone. Changes over time in the occurrence of major floods were dominated by multidecadal variability rather than by long-term trends. There were more than three times as many significant relationships between major-flood occurrence and the Atlantic Multidecadal Oscillation than significant long-term trends.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.07.027","usgsCitation":"Hodgkins, G.A., Whitfield, P.H., Burn, D.H., Hannaford, J., Renard, B., Stahl, K., Fleig, A.K., Madsen, H., Mediero, L., Korhonen, J., Murphy, C., and Wilson, D., 2017, Climate-driven variability in the occurrence of major floods across North America and Europe: Journal of Hydrology, v. 552, p. 704-717, https://doi.org/10.1016/j.jhydrol.2017.07.027.","productDescription":"14 p.","startPage":"704","endPage":"717","ipdsId":"IP-060483","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":469546,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.jhydrol.2017.07.027","text":"External Repository"},{"id":347222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347151,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S002216941730478X"}],"otherGeospatial":"Europe, North America","volume":"552","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05121e4b0220bbd9a1d85","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitfield, Paul H.","contributorId":198041,"corporation":false,"usgs":false,"family":"Whitfield","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burn, Donald H.","contributorId":198042,"corporation":false,"usgs":false,"family":"Burn","given":"Donald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":714912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hannaford, Jamie","contributorId":198043,"corporation":false,"usgs":false,"family":"Hannaford","given":"Jamie","email":"","affiliations":[],"preferred":false,"id":714913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":714914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stahl, Kerstin","contributorId":198044,"corporation":false,"usgs":false,"family":"Stahl","given":"Kerstin","email":"","affiliations":[],"preferred":false,"id":714915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fleig, Anne K.","contributorId":198045,"corporation":false,"usgs":false,"family":"Fleig","given":"Anne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":714916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Madsen, Henrik","contributorId":198046,"corporation":false,"usgs":false,"family":"Madsen","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":714917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mediero, Luis","contributorId":198047,"corporation":false,"usgs":false,"family":"Mediero","given":"Luis","email":"","affiliations":[],"preferred":false,"id":714918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Korhonen, Johanna","contributorId":198048,"corporation":false,"usgs":false,"family":"Korhonen","given":"Johanna","email":"","affiliations":[],"preferred":false,"id":714919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murphy, Conor","contributorId":198049,"corporation":false,"usgs":false,"family":"Murphy","given":"Conor","email":"","affiliations":[],"preferred":false,"id":714920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilson, Donna","contributorId":198051,"corporation":false,"usgs":false,"family":"Wilson","given":"Donna","email":"","affiliations":[],"preferred":false,"id":714922,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70192166,"text":"70192166 - 2017 - Atmospheric rivers emerge as a global science and applications focus","interactions":[],"lastModifiedDate":"2017-11-06T13:45:32","indexId":"70192166","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","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":"Atmospheric rivers emerge as a global science and applications focus","docAbstract":"Recent advances in atmospheric sciences and hydrology have identified the key role of atmo-spheric rivers (ARs) in determining the distribution of strong precipitation events in the midlatitudes. The growth of the subject is evident in the increase in scientific publications that discuss ARs (Fig. 1a). Combined with related phenomena, that is, warm conveyor belts (WCBs) and tropical moisture exports (TMEs), the frequency, position, and strength of ARs determine the occurrence of floods, droughts, and water resources in many parts of the world. A conference at the Scripps Institution of Oceanography in La Jolla, California, recently gathered over 100 experts in atmospheric, hydrologic, oceanic, and polar science; ecology; water management; and civil engineering to assess the state of AR science and to explore the need for new information. This first International Atmospheric Rivers Conference (IARC) allowed for much needed introductions and interactions across fields and regions, for example, participants came from five continents, and studies covered ARs in six continents and Greenland (Fig. 1b). IARC also fostered discussions of the status and future of AR science, and attendees strongly supported the idea of holding another IARC at the Scripps Institution of Oceanography in the summer of 2018.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-16-0262.1","usgsCitation":"Ralph, F.M., Dettinger, M.D., Lavers, D.A., Gorodetskaya, I., Martin, A., Viale, M., White, A., Oakley, N.S., Rutz, J.J., Spackman, J.R., Wernli, H., and Cordeira, J.M., 2017, Atmospheric rivers emerge as a global science and applications focus: Bulletin of the American Meteorological Society, v. 98, p. 1969-1973, https://doi.org/10.1175/BAMS-D-16-0262.1.","productDescription":"5 p.","startPage":"1969","endPage":"1973","ipdsId":"IP-079803","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461417,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/bams-d-16-0262.1","text":"External Repository"},{"id":348280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e88be4b09af898c8cb85","contributors":{"authors":[{"text":"Ralph, F. Martin","contributorId":150276,"corporation":false,"usgs":false,"family":"Ralph","given":"F.","email":"","middleInitial":"Martin","affiliations":[{"id":17953,"text":"Earth Systems Research Lab, NOAA","active":true,"usgs":false}],"preferred":false,"id":714509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavers, David A.","contributorId":167847,"corporation":false,"usgs":false,"family":"Lavers","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":24837,"text":"Center for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":714510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorodetskaya, Irina","contributorId":197882,"corporation":false,"usgs":false,"family":"Gorodetskaya","given":"Irina","email":"","affiliations":[],"preferred":false,"id":714511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Andrew","contributorId":197883,"corporation":false,"usgs":false,"family":"Martin","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":714512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Viale, Maximilliano","contributorId":197884,"corporation":false,"usgs":false,"family":"Viale","given":"Maximilliano","email":"","affiliations":[],"preferred":false,"id":714513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Allen","contributorId":149943,"corporation":false,"usgs":false,"family":"White","given":"Allen","email":"","affiliations":[{"id":17861,"text":"NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":714514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oakley, Nina S.","contributorId":197885,"corporation":false,"usgs":false,"family":"Oakley","given":"Nina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rutz, Jonathan J.","contributorId":197886,"corporation":false,"usgs":false,"family":"Rutz","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714516,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spackman, J. Ryan","contributorId":197887,"corporation":false,"usgs":false,"family":"Spackman","given":"J.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":714517,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wernli, Heini","contributorId":197888,"corporation":false,"usgs":false,"family":"Wernli","given":"Heini","email":"","affiliations":[],"preferred":false,"id":714518,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cordeira, Jason M.","contributorId":197889,"corporation":false,"usgs":false,"family":"Cordeira","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714519,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70189769,"text":"ofr20171095 - 2017 - Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","interactions":[],"lastModifiedDate":"2017-08-31T11:32:02","indexId":"ofr20171095","displayToPublicDate":"2017-08-31T12:00:00","publicationYear":"2017","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":"2017-1095","title":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington","docAbstract":"A hydrologic monitoring network was installed to investigate landslide hazards affecting the railway corridor along the eastern shore of Puget Sound between Seattle and Everett, near Mukilteo, Washington. During the summer of 2015, the U.S. Geological Survey installed monitoring equipment at four sites equipped with instrumentation to measure rainfall and air temperature every 15 minutes. Two of the four sites are installed on contrasting coastal bluffs, one landslide scarred and one vegetated. At these two sites, in addition to rainfall and air temperature, volumetric water content, pore pressure, soil suction, soil temperature, and barometric pressure were measured every 15 minutes. The instrumentation was designed to supplement landslide-rainfall thresholds developed by the U.S. Geological Survey with a long-term goal of advancing the understanding of the relationship between landslide potential and hydrologic forcing along the coastal bluffs. Additionally, the system was designed to function as a prototype monitoring system to evaluate criteria for site selection, instrument selection, and placement of instruments. The purpose of this report is to describe the monitoring system, present the data collected since installation, and describe significant events represented within the dataset, which is published as a separate data release. The findings provide insight for building and configuring larger, modular monitoring networks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171095","collaboration":"Prepared as part of a Technical Assistance Agreement with Sound Transit","usgsCitation":"Smith, J.B., Baum, R.L., Mirus, B.B., Michel, A.R., and Stark, B., 2017, Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington: U.S. Geological Survey Open-File Report 2017–1095, 48 p., https://doi.org/10.3133/ofr20171095.","productDescription":"Report: vii, 48 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-086276","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":345113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1095/ofr20171095.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1095"},{"id":345112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1095/coverthb.jpg"},{"id":345114,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85WX","text":"USGS Data Release","description":"USGS data release","linkHelpText":"Results of hydrologic monitoring on landslide-prone coastal bluffs near Mukilteo, Washington"}],"country":"United States","state":"Washington","city":"Mukilteo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.35748291015625,\n 47.87352572966863\n ],\n [\n -122.29225158691406,\n 47.87352572966863\n ],\n [\n -122.29225158691406,\n 47.954064687296885\n ],\n [\n -122.35748291015625,\n 47.954064687296885\n ],\n [\n -122.35748291015625,\n 47.87352572966863\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS-966
Denver, CO 80225
Fishes often exhibit phenotypic divergence across gradients of abiotic and biotic selective pressures. In streams, many of the known selective pressures driving phenotypic differentiation are largely influenced by hydrologic regimes. Because flow regimes drive so many attributes of lotic systems, we hypothesized fish exhibit phenotypic divergence among streams with different flow regimes. We used a comparative field study to investigate the morphological divergence of Campostoma anomalom (central stonerollers) among streams characterized by highly variable, intermittent flow regimes and streams characterized by relatively stable, groundwater flow regimes. We also conducted a mesocosm experiment to compare the plastic effects of one component of flow regimes, water velocity, on morphology of fish from different flow regimes. We observed differences in shape between flow regimes likely driven by differences in allometric growth patterns. Although we observed differences in morphology across flow regimes in the field, C. anomalum did not exhibit morphologic plasticity in response to water velocity alone. This study contributes to the understanding of how complex environmental factors drive phenotypic divergence and may provide insight into the evolutionary consequences of disrupting natural hydrologic patterns, which are increasingly threatened by climate change and anthropogenic alterations.
","language":"English","publisher":"Springer International","doi":"10.1007/s10682-017-9897-0","usgsCitation":"Bruckerhoff, L., and Magoulick, D.D., 2017, Hydrologic regimes as potential drivers of morphologic divergence in fish: Evolutionary Ecology, v. 31, no. 4, p. 517-531, https://doi.org/10.1007/s10682-017-9897-0.","productDescription":"14 p.","startPage":"517","endPage":"531","ipdsId":"IP-073023","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3de","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey","contributorId":204873,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":735327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735326,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189580,"text":"sir20175079 - 2017 - Groundwater discharge by evapotranspiration, flow of water in unsaturated soil, and stable isotope water sourcing in areas of sparse vegetation, Amargosa Desert, Nye County, Nevada","interactions":[],"lastModifiedDate":"2018-01-24T14:12:49","indexId":"sir20175079","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","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":"2017-5079","title":"Groundwater discharge by evapotranspiration, flow of water in unsaturated soil, and stable isotope water sourcing in areas of sparse vegetation, Amargosa Desert, Nye County, Nevada","docAbstract":"This report documents methodology and results of a study to evaluate groundwater discharge by evapotranspiration (GWET) in sparsely vegetated areas of Amargosa Desert and improve understanding of hydrologic-continuum processes controlling groundwater discharge. Evapotranspiration and GWET rates were computed and characterized at three sites over 2 years using a combination of micrometeorological, unsaturated zone, and stable-isotope measurements. One site (Amargosa Flat Shallow [AFS]) was in a sparse and isolated area of saltgrass (Distichlis spicata) where the depth to groundwater was 3.8 meters (m). The second site (Amargosa Flat Deep [AFD]) was in a sparse cover of predominantly shadscale (Atriplex confertifolia) where the depth to groundwater was 5.3 m. The third site (Amargosa Desert Research Site [ADRS]), selected as a control site where GWET is assumed to be zero, was located in sparse vegetation dominated by creosote bush (Larrea tridentata) where the depth to groundwater was 110 m.
Results indicated that capillary rise brought groundwater to within 0.9 m (at AFS) and 3 m (at AFD) of land surface, and that GWET rates were largely controlled by the slow but relatively persistent upward flow of water through the unsaturated zone in response to atmospheric-evaporative demands. Greater GWET at AFS (50 ± 20 millimeters per year [mm/yr]) than at AFD (16 ± 15 mm/yr) corresponded with its shallower depth to the capillary fringe and constantly higher soil-water content. The stable-isotope dataset for hydrogen (δ2H) and oxygen (δ18O) illustrated a broad range of plant-water-uptake scenarios. The AFS saltgrass and AFD shadscale responded to changing environmental conditions and their opportunistic water use included the time- and depth-variable uptake of unsaturated-zone water derived from a combination of groundwater and precipitation. These results can be used to estimate GWET in other areas of Amargosa Desert where hydrologic conditions are similar.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175079","collaboration":"Prepared in cooperation with Nye County, Nevada, and the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office under Interagency Agreement DE-NA0001654","usgsCitation":"Moreo, M.T., Andraski, B.J., and Garcia, C.A., 2017, Groundwater discharge by evapotranspiration, flow of water in unsaturated soil, and stable isotope water sourcing in areas of sparse vegetation, Amargosa Desert, Nye County, Nevada: U.S. Geological Survey Scientific Investigations Report 2017–5079, 55 p., https://doi.org/10.3133/sir20175079.","productDescription":"Report: viii, 55 p.; Data Release","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-081689","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":438237,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZS2VQR","text":"USGS data release","linkHelpText":"Selected Evapotranspiration Data, Amargosa Desert Research Site, Nye County, Nevada, 7/5/2011-1/1/2017"},{"id":345331,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R49NZN","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Evapotranspiration, groundwater, and unsaturated-zone data, Amargosa Desert, Nye County, Nevada, 2011-13"},{"id":345286,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5079/sir20175079.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5079"},{"id":345285,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5079/coverthb.jpg"}],"country":"United States","state":"Nevada","county":"Nye County","otherGeospatial":"Amargosa Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3774871826172,\n 36.3588219885685\n ],\n [\n -116.20548248291016,\n 36.3588219885685\n ],\n [\n -116.20548248291016,\n 36.50384103238002\n ],\n [\n -116.3774871826172,\n 36.50384103238002\n ],\n [\n -116.3774871826172,\n 36.3588219885685\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, Nevada 89701
Salish Kootenai College (SKC), in the Flathead Reservation in the northwestern corner of Montana, is the largest of the seven Tribal colleges in the State. In 2011, U.S. Geological Survey (USGS) National Tribal Liaison Monique Fordham from the Office of Tribal Relations/Office of Science Quality and Integrity began discussions with SKC faculty to examine ways the USGS could assist with classes taught as part of the new hydrology program at the college. With funding provided by the USGS Office of Tribal Relations, Roy Sando from the Wyoming-Montana Water Science Center began collaborating with SKC. From 2012 to 2017, Sando and others have developed and taught eight educational workshops at SKC. Topics of the workshops have included classifying land cover using remote sensing, characterizing stream channel migration, estimating actual evapotranspiration, modeling groundwater contamination plumes, and building custom geographic information system tools. By contributing to the educational training of SKC students and establishing this high level of collaboration with a Tribal college, the USGS is demonstrating its commitment to helping build the next generation of Tribal scientists.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173065","collaboration":"Prepared in cooperation with Salish Kootenai College","usgsCitation":"Sando, Roy, and Fordham, Monique, 2017, Salish Kootenai College and U.S. Geological Survey partnership—Enhancing student opportunities and professional development: U.S. Geological Survey Fact Sheet 2017–3065, 2 p., https://doi.org/10.3133/fs20173065.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-084969","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":345201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3065/coverthb2.jpg"},{"id":345202,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3065/fs20173065.pdf","text":"Report","size":"373 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017–3065"}],"contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
Low-flow statistics are needed by water-resource engineers, planners, and managers to protect and manage the water resources of Alabama. The accuracy of these statistics is influenced by such factors as length of record and specific hydrologic conditions measured in those records. As such, it is generally recommended that flow statistics be updated about every 10 years to provide improved and representative low-flow characteristics. The previous investigation of low-flow characteristics for Alabama included data through September 1990. Since that time, Alabama has experienced several historic droughts highlighting the need to update the low-flow characteristics at U.S. Geological Survey streamgaging stations. Consequently, this investigation was undertaken in cooperation with a number of State and local agencies to update low-flow frequency and flow-duration statistics at 210 continuous-record streamgaging stations in Alabama and 67 stations from basins that are shared with surrounding States. The flow characteristics were computed on the basis of available data through March 2014.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175083","collaboration":"Prepared in cooperation with Alabama Association of Conservation Districts; Alabama Association of Resource Conservation and Development Councils; Alabama Department of Agriculture and Industries; Alabama Department of Conservation and Natural Resources—Division of Wildlife and Freshwater Fisheries; Alabama Department of Economic and Community Affairs—Office of Water Resources Division; Alabama Farmers Federation; Alabama Power; Choctawhatchee, Pea and Yellow Rivers Watershed Management Authority; Geological Survey of Alabama; and The University of Alabama—Water Policy and Law Institute","usgsCitation":"Feaster, T.D., and Lee, K.G., 2017, Low-flow frequency and flow-duration characteristics of selected streams in Alabama through March 2014: U.S. Geological Survey Scientific Investigations Report 2017–5083, 371 p., https://doi.org/10.3133/sir20175083.","productDescription":"viii, 371 p.","numberOfPages":"383","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-078394","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":345130,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5083/sir20175083.pdf","text":"Report","size":"8.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5083"},{"id":345129,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5083/coverthb.jpg"}],"country":"United States","state":"Alabama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.956298828125,\n 30.259067203213018\n ],\n [\n -84.517822265625,\n 30.259067203213018\n ],\n [\n -84.517822265625,\n 35.33529320309328\n ],\n [\n -88.956298828125,\n 35.33529320309328\n ],\n [\n -88.956298828125,\n 30.259067203213018\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park
Nashville, TN 37211
Growing evidence that certain poly- and perfluoroalkyl substances (PFASs) are associated with negative human health effects prompted the U.S. Environmental Protection Agency to issue lifetime drinking water health advisories for perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) in 2016. Given that groundwater is a major source of drinking water, the main objective of this work was to investigate geochemical and hydrological processes governing the subsurface transport of PFASs at a former fire training area (FTA) on Cape Cod, Massachusetts, where PFAS-containing aqueous film-forming foams were used historically. A total of 148 groundwater samples and 4 sediment cores were collected along a 1200-m-long downgradient transect originating near the FTA and analyzed for PFAS content. The results indicate that unsaturated zones at the FTA and at hydraulically downgradient former domestic wastewater effluent infiltration beds both act as continuous PFAS sources to the groundwater despite 18 and 20 years of inactivity, respectively. Historically different PFAS sources are evident from contrasting PFAS composition near the water table below the FTA and wastewater-infiltration beds. Results from total oxidizable precursor assays conducted using groundwater samples collected throughout the plume suggest that some perfluoroalkyl acid precursors at this site are transporting with perfluoroalkyl acids.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.6b05573","usgsCitation":"Weber, A., Barber, L.B., LeBlanc, D.R., Sunderland, E.M., and Vecitis, C.D., 2017, Geochemical and hydrologic factors controlling subsurface transport of poly- and perfluoroalkyl substances, Cape Cod, Massachusetts: Environmental Science & Technology, v. 51, no. 8, p. 4269-4279, https://doi.org/10.1021/acs.est.6b05573.","productDescription":"11 p.","startPage":"4269","endPage":"4279","ipdsId":"IP-080744","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":438239,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z899KT","text":"USGS data release","linkHelpText":"Poly- and perfluoalkyl substances in contaminated groundwater, Cape Cod, Massachusetts, 2014-2016"},{"id":345223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.8782958984375,\n 41.430371882652814\n ],\n [\n -69.7137451171875,\n 41.430371882652814\n ],\n [\n -69.7137451171875,\n 42.28950073090457\n ],\n [\n -70.8782958984375,\n 42.28950073090457\n ],\n [\n -70.8782958984375,\n 41.430371882652814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"59a52bd3e4b0fa5ae7c7482f","contributors":{"authors":[{"text":"Weber, Andrea K. 0000-0003-4811-8641 atokranov@usgs.gov","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":193839,"corporation":false,"usgs":true,"family":"Weber","given":"Andrea K.","email":"atokranov@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":708593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":708596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sunderland, Elsie M.","contributorId":151016,"corporation":false,"usgs":false,"family":"Sunderland","given":"Elsie","email":"","middleInitial":"M.","affiliations":[{"id":18166,"text":"Harvard University, Cambridge, M","active":true,"usgs":false}],"preferred":false,"id":708594,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vecitis, Chad D.","contributorId":193842,"corporation":false,"usgs":false,"family":"Vecitis","given":"Chad","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":708595,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190360,"text":"70190360 - 2017 - Enhancing wind erosion monitoring and assessment for U.S. rangelands","interactions":[],"lastModifiedDate":"2017-09-05T12:29:00","indexId":"70190360","displayToPublicDate":"2017-08-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing wind erosion monitoring and assessment for U.S. rangelands","docAbstract":"On the Ground
Shallow and deep-seated landslides have occurred episodically on the steep coastal bluffs of the Atlantic Highlands area (Boroughs of Atlantic Highlands and Highlands) in New Jersey. The oldest documented deep-seated landslide occurred in April 1782 and significantly changed the morphology of the bluff. However, recent landslides have been mostly shallow in nature and have occurred during large storms with exceptionally heavy rainfall. These shallow landslides have resulted in considerable damage to residential property and local infrastructure and threatened human safety.
The recent shallow landslides in the area (locations modified from New Jersey Department of Environmental Protection) consist primarily of slumps and flows of earth and debris within areas of historical landslides or on slopes modified by human activities. Such landslides are typically triggered by increases in shallow soil moisture and pore-water pressure caused by sustained and intense rainfall associated with spring nor’easters and late summer–fall tropical cyclones. However, the critical relation between rainfall, soil-moisture conditions, and landslide movement has not been fully defined. The U.S. Geological Survey is currently monitoring hillslopes within the Atlantic Highlands area to better understand the hydrologic and meteorological conditions associated with shallow landslide initiation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173068","usgsCitation":"Reilly, P.A., Ashland, F.X., and Fiore, A.R., 2017, Landslide monitoring in the Atlantic Highlands area, New Jersey: U.S. Geological Survey Fact Sheet 2017–3068, 4 p., https://doi.org/10.3133/fs20173068.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087942","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":345056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3068/fs20173068.pdf","text":"Report","size":"3.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3068"},{"id":345055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3068/coverthb2.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.06021118164062,\n 40.3836897366636\n ],\n [\n -73.96717071533203,\n 40.3836897366636\n ],\n [\n -73.96717071533203,\n 40.43649540640561\n ],\n [\n -74.06021118164062,\n 40.43649540640561\n ],\n [\n -74.06021118164062,\n 40.3836897366636\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Municipalities in Johnson County in northeastern Kansas are required to implement stormwater management programs to reduce pollutant discharges, protect water quality, and comply with applicable water-quality regulations in accordance with National Pollutant Discharge Elimination System permits for stormwater discharge. To this end, municipalities collect grab samples at streams entering and leaving their jurisdiction to determine levels of excessive nutrients, sediment, and fecal bacteria to characterize pollutants and understand the factors affecting them.
In 2014, the U.S. Geological Survey and the Johnson County Stormwater Management Program, with input from the Kansas Department of Health and Environment, initiated a 5-year monitoring program to satisfy minimum sampling requirements for each municipality as described by new stormwater permits issued to Johnson County municipalities. The purpose of this report is to provide a preliminary assessment of the monitoring program. The monitoring program is described, a preliminary assessment of the monitoring program design is provided using water-quality data collected during the first 2 years of the program, and the ability of the current monitoring network and sampling plan to provide data sufficient to quantify improvements in water quality resulting from implemented and planned best management practices is evaluated. The information in this initial report may be used to evaluate changes in data collection methods while data collection is still ongoing that may lead to improved data utility.
Discrete water-quality samples were collected at 27 sites and analyzed for nutrients, Escherichia coli (E. coli) bacteria, total suspended solids, and suspended-sediment concentration. In addition, continuous water-quality data (water temperature, pH, dissolved oxygen, specific conductance, turbidity, and nitrate plus nitrite) were collected at one site to characterize variability and provide a basis for comparison to discrete data. Base flow samples indicated that point sources are likely affecting nutrient concentrations and E. coli bacteria densities at several sites. Concentrations of all analytes in storm runoff samples were characterized by substantial variability among sites and samples. About one-half of the sites, representing different watersheds, had storm runoff samples with nitrogen concentrations greater than 10 milligrams per liter. About one-third of the sites, representing different watersheds, had storm runoff samples with total phosphorus concentrations greater than 3 milligrams per liter. Six sites had samples with E. coli densities greater than 100,000 colonies per 100 milliliters of water. Total suspended solids concentrations of about 12,000 milligrams per liter or greater occurred in samples from three sites.
Data collected for this monitoring program may be useful for some general assessment purposes but may also be limited in potential to fully inform stormwater management activities. Valuable attributes of the monitoring program design included incorporating many sites across the county for comparisons among watersheds and municipalities, using fixed-stage samplers to collect multiple samples during single events, collection of base flow samples in addition to storm samples to isolate possible point sources from stormwater sources, and use of continuous monitors to characterize variability. Limiting attributes of the monitoring program design included location of monitoring sites along municipal boundaries to satisfy permit requirements rather than using watershed-based criteria such as locations of tributaries, potential pollutant sources, and implemented management practices. Additional limiting attributes include having a large number of widespread sampling locations, which presented logistical challenges for predicting localized rainfall and collecting and analyzing samples during short timeframes associated with storms, and collecting storm samples at fixed-stage elevations only during the rising limb of storms, which does not characterize conditions over the storm hydrograph. The small number of samples collected per site resulted in a sample size too small to be representative of site conditions, including seasonal and hydrologic variability, and insufficient for meaningful statistical analysis or site-specific modeling.
Several measures could be taken to improve data utility and include redesigning the monitoring network according to watershed characteristics, incorporating a nested design in which data are collected at different scales (watershed, subwatershed, and best management practices), increasing sampling frequency, and combining different methods to allow for flexibility to focus on areas and conditions of particular interest. A monitoring design that would facilitate most of these improvements would be to focus efforts on a limited number of watersheds for several years, then cycle to the next set of watersheds for several years, eventually returning to previously monitored watersheds to document changes.
Redesign of the water-quality monitoring program requires considerable effort and commitment from municipalities of Johnson County. However, the long-term benefit likely is a monitoring program that results in improved stream conditions and more effective management practices and efficient expenditure of resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175089","collaboration":"Prepared in cooperation with the Johnson County [Kans.] Stormwater Management Program","usgsCitation":"Rasmussen, T.J., and Paxson, C.R., 2017, Preliminary assessment of a water-quality monitoring program for total maximum daily loads in Johnson County, Kansas, January 2015 through June 2016: U.S. Geological Survey Scientific Investigations Report 2017–5089, 20 p., https://doi.org/10.3133/sir20175089.","productDescription":"Report: vi, 20 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-082145","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":345128,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GT5M2G","text":"USGS data release","description":"USGS data release","linkHelpText":"Water-quality data"},{"id":345101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5089/coverthb.jpg"},{"id":345102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5089/sir20175089.pdf","text":"Report","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5089"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.08,\n 38.7\n ],\n [\n -94.61,\n 38.7\n ],\n [\n -94.61,\n 39.08\n ],\n [\n -95.08,\n 39.08\n ],\n [\n -95.08,\n 38.7\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
In this study, the scenarios ultimately take the form of gridded, daily (maximum and minimum) temperatures and precipitation totals spanning the entire Truckee-Carson River System, from which meteorological inputs to various hydrologic, water-balance and watermanagement models can be extracted by other parts of the Water for the Seasons project and by other studies and stakeholders.
Climate scenarios are constructed using: 1) survey data from interviews with 66 Truckee-Carson River System water-management and water-interest organizations to identify plausible drought and high-flow events that could stress the system irreparably; 2) input from the Stakeholder Affiliate Group and other modelers on the Water for the Seasons team to gain additional key stakeholder input with regard to organizational survey results and to identify the most pressing water-management issues being faced in the system; and 3) historical climate datasets used to simulate possible future conditions.
","language":"English","publisher":"University of Nevada Cooperative Extension Special Publication","usgsCitation":"Dettinger, M.D., Sterle, K., Simpson, K., Singletary, L., Fitzgerald, K., and McCarthy, M., 2017, Climate scenarios for the Truckee-Carson River system, 12 p.","productDescription":"12 p.","ipdsId":"IP-076327","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":345050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345049,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.unce.unr.edu/publications/files/nr/2017/sp1705.pdf"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Carson River, Truckee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.75622558593749,\n 38.45789034424927\n ],\n [\n -119.17694091796875,\n 38.45789034424927\n ],\n [\n -119.17694091796875,\n 39.776880380637024\n ],\n [\n -120.75622558593749,\n 39.776880380637024\n ],\n [\n -120.75622558593749,\n 38.45789034424927\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9446e4b04935557fe9ad","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":707875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterle, Kelley","contributorId":195683,"corporation":false,"usgs":false,"family":"Sterle","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":707876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Karen","contributorId":195684,"corporation":false,"usgs":false,"family":"Simpson","given":"Karen","email":"","affiliations":[],"preferred":false,"id":707877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singletary, Loretta","contributorId":195685,"corporation":false,"usgs":false,"family":"Singletary","given":"Loretta","email":"","affiliations":[],"preferred":false,"id":707878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Kelsey","contributorId":195686,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":707880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarthy, Maureen","contributorId":149897,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":707879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190266,"text":"sir20175073 - 2017 - Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana","interactions":[],"lastModifiedDate":"2017-08-24T08:39:10","indexId":"sir20175073","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","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":"2017-5073","title":"Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana","docAbstract":"Digital flood-inundation maps for a 10.2-mile reach of the Wabash River from Sevenmile Island to 3.7 mile downstream of Memorial Bridge (officially known as Lincoln Memorial Bridge) at Vincennes, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 03343010, Wabash River at Memorial Bridge at Vincennes, Ind. Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
For this study, flood profiles were computed for the Wabash River reach by means of a one-dimensional stepbackwater model. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03343010, Wabash River at Memorial Bridge at Vincennes, Ind., and preliminary high-water marks from a high-water event on April 27, 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from 10 feet (ft) or near bankfull to 28 ft, the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System (GIS) digital elevation model (DEM, derived from Light Detection and Ranging [lidar] data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) in order to delineate the area flooded at each water level.
The availability of these maps—along with Internet information regarding current stage from the USGS streamgage 03343010, and forecast stream stages from the NWS AHPS—provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175073","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Fowler, K.K., and Menke, C.D., 2017, Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana: U.S. Geological Survey Scientific Investigations Report 2017–5073, 10 p., https://doi.org/10.3133/sir20175073.","productDescription":"Report: vi, 10 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081973","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":345020,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZG6QGC","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Wabash River at Memorial Bridge, Vincennes, Indiana, Flood-Inundation Geospatial Data Sets and Metadata"},{"id":345018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5073/coverthb.jpg"},{"id":345019,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5073/sir20175073.pdf","text":"Report","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5073"}],"country":"United States","state":"Indiana","city":"Vincennes","otherGeospatial":"Wabash River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.74,\n 38.46434231629165\n ],\n [\n -87.19161987304688,\n 38.46434231629165\n ],\n [\n -87.19161987304688,\n 38.89744587262311\n ],\n [\n -87.74,\n 38.89744587262311\n ],\n [\n -87.74,\n 38.46434231629165\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Boulevard
Indianapolis, IN 46278–1996
A middle to late Pleistocene sedimentary sequence in the upper Las Vegas Wash, north of Las Vegas, Nevada, has yielded the largest open-site Rancholabrean vertebrate fossil assemblage in the southern Great Basin and Mojave Deserts. Recent paleontologic field studies have led to the discovery of hundreds of fossil localities and specimens, greatly extending the geographic and temporal footprint of original investigations in the early 1960s. The significance of the deposits and their entombed fossils led to the preservation of 22,650 acres of the upper Las Vegas Wash as Tule Springs Fossil Beds National Monument. These discoveries also warrant designation of the assemblage as a local fauna, named for the site of the original paleontologic studies at Tule Springs.
The large mammal component of the Tule Springs local fauna is dominated by remains of Mammuthus columbi as well as Camelops hesternus, along with less common remains of Equus (including E. scotti) and Bison. Large carnivorans including Canis dirus, Smilodon fatalis, and Panthera atrox are also recorded. Micromammals, amphibians, lizards, snakes, birds, invertebrates, plant macrofossils, and pollen also occur in the deposits and provide important and complementary paleoenvironmental information. The fauna occurs within the Las Vegas Formation, an extensive and stratigraphically complex sequence of groundwater discharge deposits that represent a mosaic of desert wetland environments. Radiometric and luminescence dating indicates the sequence spans the last ∼570 ka, and records hydrologic changes in a dynamic and temporally congruent response to northern hemispheric abrupt climatic oscillations. The vertebrate fauna occurs in multiple stratigraphic horizons in this sequence, with ages of the fossils spanning from ∼100 to ∼12.5 ka.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2017.06.001","usgsCitation":"Scott, E., Springer, K.B., and Sagebiel, J.C., 2017, The Tule Springs local fauna: Rancholabrean vertebrates from the Las Vegas Formation, Nevada: Quaternary International, v. 443, no. A, p. 105-121, https://doi.org/10.1016/j.quaint.2017.06.001.","productDescription":"17 p.","startPage":"105","endPage":"121","ipdsId":"IP-081590","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":345014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"443","issue":"A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599bf11fe4b0b589267ed32d","contributors":{"authors":[{"text":"Scott, Eric","contributorId":127422,"corporation":false,"usgs":false,"family":"Scott","given":"Eric","email":"","affiliations":[],"preferred":false,"id":708145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":708144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sagebiel, James C.","contributorId":195775,"corporation":false,"usgs":false,"family":"Sagebiel","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":708146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189262,"text":"sir20175022H - 2017 - Field-trip guide to mafic volcanism of the Cascade Range in Central Oregon—A volcanic, tectonic, hydrologic, and geomorphic journey","interactions":[{"subject":{"id":70189262,"text":"sir20175022H - 2017 - Field-trip guide to mafic volcanism of the Cascade Range in Central Oregon—A volcanic, tectonic, hydrologic, and geomorphic journey","indexId":"sir20175022H","publicationYear":"2017","noYear":false,"chapter":"H","title":"Field-trip guide to mafic volcanism of the Cascade Range in Central Oregon—A volcanic, tectonic, hydrologic, and geomorphic journey"},"predicate":"IS_PART_OF","object":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"id":1}],"isPartOf":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"lastModifiedDate":"2017-08-28T12:33:55","indexId":"sir20175022H","displayToPublicDate":"2017-08-16T00:00:00","publicationYear":"2017","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":"2017-5022","chapter":"H","title":"Field-trip guide to mafic volcanism of the Cascade Range in Central Oregon—A volcanic, tectonic, hydrologic, and geomorphic journey","docAbstract":"The Cascade Range in central Oregon has been shaped by tectonics, volcanism, and hydrology, as well as geomorphic forces that include glaciations. As a result of the rich interplay between these forces, mafic volcanism here can have surprising manifestations, which include relatively large tephra footprints and extensive lava flows, as well as water shortages, transportation and agricultural disruption, and forest fires. Although the focus of this multidisciplinary field trip will be on mafic volcanism, we will also look at the hydrology, geomorphology, and ecology of the area, and we will examine how these elements both influence and are influenced by mafic volcanism. We will see mafic volcanic rocks at the Sand Mountain volcanic field and in the Santiam Pass area, at McKenzie Pass, and in the southern Bend region. In addition, this field trip will occur during a total solar eclipse, the first one visible in the United States in more than 25 years (and the first seen in the conterminous United States in more than 37 years).
The Cascade Range is the result of subduction of the Juan de Fuca plate underneath the North American plate. This north-south-trending volcanic mountain range is immediately downwind of the Pacific Ocean, a huge source of moisture. As moisture is blown eastward from the Pacific on prevailing winds, it encounters the Cascade Range in Oregon, and the resulting orographic lift and corresponding rain shadow is one of the strongest precipitation gradients in the conterminous United States. We will see how the products of the volcanoes in the central Oregon Cascades have had a profound influence on groundwater flow and, thus, on the distribution of Pacific moisture. We will also see the influence that mafic volcanism has had on landscape evolution, vegetation development, and general hydrology.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States (Scientific Investigations Report 2017-5022)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022H","usgsCitation":"Deligne, N.I., Mckay, D., Conrey, R.M., Grant, G.E., Johnson, E.R., O’Connor, J., and Sweeney, K., 2017, Field-trip guide to mafic volcanism of the Cascade Range in central Oregon—A volcanic, tectonic, hydrologic, and geomorphic journey: U.S. Geological Survey Scientific Investigations Report 2017–5022–H, 94 p., https://doi.org/10.3133/sir20175022H.","productDescription":"xii, 94 p.","numberOfPages":"110","onlineOnly":"Y","ipdsId":"IP-076209","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":344876,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/h/sir20175022h.pdf","text":"Report","size":"34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-H"},{"id":344875,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/h/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.1787109375,\n 43.61619382369185\n ],\n [\n -121.0089111328125,\n 43.61619382369185\n ],\n [\n -121.0089111328125,\n 45.57944511437787\n ],\n [\n -123.1787109375,\n 45.57944511437787\n ],\n [\n -123.1787109375,\n 43.61619382369185\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Volcano Science Center - Menlo Park
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Potential contamination bias was estimated for 8 nutrient analytes and 40 pesticides in stream water collected by the U.S. Geological Survey at 147 stream sites from across the United States, and representing a variety of hydrologic conditions and site types, for water years 2002–12. This study updates previous U.S. Geological Survey evaluations of potential contamination bias for nutrients and pesticides. Contamination is potentially introduced to water samples by exposure to airborne gases and particulates, from inadequate cleaning of sampling or analytic equipment, and from inadvertent sources during sample collection, field processing, shipment, and laboratory analysis. Potential contamination bias, based on frequency and magnitude of detections in field blanks, is used to determine whether or under what conditions environmental data might need to be qualified for the interpretation of results in the context of comparisons with background levels, drinking-water standards, aquatic-life criteria or benchmarks, or human-health benchmarks. Environmental samples for which contamination bias as determined in this report applies are those from historical U.S. Geological Survey water-quality networks or programs that were collected during the same time frame and according to the same protocols and that were analyzed in the same laboratory as field blanks described in this report.
Results from field blanks for ammonia, nitrite, nitrite plus nitrate, orthophosphate, and total phosphorus were partitioned by analytical method; results from the most commonly used analytical method for total phosphorus were further partitioned by date. Depending on the analytical method, 3.8, 9.2, or 26.9 percent of environmental samples, the last of these percentages pertaining to all results from 2007 through 2012, were potentially affected by ammonia contamination. Nitrite contamination potentially affected up to 2.6 percent of environmental samples collected between 2002 and 2006 and affected about 3.3 percent of samples collected between 2007 and 2012. The percentages of environmental samples collected between 2002 and 2011 that were potentially affected by nitrite plus nitrate contamination were 7.3 for samples analyzed with the low-level method and 0.4 for samples analyzed with the standard-level method. These percentages increased to 14.8 and 2.2 for samples collected in 2012 and analyzed using replacement low- and standard-level methods, respectively. The maximum potentially affected concentrations for nitrite and for nitrite plus nitrate were much less than their respective maximum contamination levels for drinking-water standards. Although contamination from particulate nitrogen can potentially affect up to 21.2 percent and that from total Kjeldahl nitrogen can affect up to 16.5 percent of environmental samples, there are no critical or background levels for these substances.
For total nitrogen, orthophosphate, and total phosphorus, contamination in a small percentage of environmental samples might be consequential for comparisons relative to impairment risks or background levels. At the low ends of the respective ranges of impairment risk for these nutrients, contamination in up to 5 percent of stream samples could account for at least 23 percent of measured concentrations of total nitrogen, for at least 40 or 90 percent of concentrations of orthophosphate, depending on the analytical method, and for 31 to 76 percent of concentrations of total phosphorus, depending on the time period.
Twenty-six pesticides had no detections in field blanks. Atrazine with 12 and metolachlor with 11 had the highest number of detections, mostly occurring in spring or early summer. At a 99-percent level of confidence, contamination was estimated to be no greater than the detection limit in at least 98 percent of all samples for 38 of 40 pesticides. For metolachlor and atrazine, potential contamination was no greater than 0.0053 and 0.0093 micrograms per liter in 98 percent of samples. For 11 of 14 pesticides with at least one detection, the maximum potentially affected concentration of the environmental sample was less than their respective human-health or aquatic-life benchmarks. Small percentages of environmental samples had concentrations high enough that atrazine contamination potentially could account for the entire aquatic-life benchmark for acute effects on nonvascular plants, that dieldrin contamination could account for up to 100 percent of the cancer health-based screening level, or that chlorpyrifos contamination could account for 13 or 12 percent of the concentrations in the aquatic-life benchmarks for chronic effects on invertebrates or the criterion continuous concentration for chronic effects on aquatic life.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165129","usgsCitation":"Medalie, Laura, and Martin, J.D., 2017, Nutrient and pesticide contamination bias estimated from field blanks collected at surface-water sites in U.S. Geological Survey water-quality networks, 2002–12: U.S. Geological Survey Scientific Investigations Report 2016–5129, 40 p., https://doi.org/10.3133/sir20165129.","productDescription":"Report: vi, 40 p.; Appendixes 1-2","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070500","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":344595,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5129/attachments/sir20165129_appendix2_metadata.txt","text":"Appendix 2","size":"1.43 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Metadata, pesticide field-blank data from surface-water 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U.S. Geological Survey
331 Commerce Way, Suite 2
Pembroke, NH 03275
A study was done by the U.S. Geological Survey in cooperation with the Kansas Department of Transportation and the Federal Emergency Management Agency to develop regression models to estimate peak streamflows of annual exceedance probabilities of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 percent at ungaged locations in Kansas. Peak streamflow frequency statistics from selected streamgages were related to contributing drainage area and average precipitation using generalized least-squares regression analysis. The peak streamflow statistics were derived from 151 streamgages with at least 25 years of streamflow data through 2015. The developed equations can be used to predict peak streamflow magnitude and frequency within two hydrologic regions that were defined based on the effects of irrigation. The equations developed in this report are applicable to streams in Kansas that are not substantially affected by regulation, surface-water diversions, or urbanization. The equations are intended for use for streams with contributing drainage areas ranging from 0.17 to 14,901 square miles in the nonirrigation effects region and, 1.02 to 3,555 square miles in the irrigation-affected region, corresponding to the range of drainage areas of the streamgages used in the development of the regional equations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175063","collaboration":"Prepared in cooperation with the Kansas Department of Transportation and Federal Emergency Management Agency","usgsCitation":"Painter, C.C., Heimann, D.C., and Lanning-Rush, J.L., 2017, Methods for estimating annual exceedance-probability streamflows for streams in Kansas based on data through water year 2015 (ver. 1.1, September 2017): U.S. Geological Survey Scientific Investigations Report 2017–5063, 20 p., https://doi.org/10.3133/sir20175063.","productDescription":"Report: vi, 20 p.; 4 Tables","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-087048","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":345864,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5063/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2017–5063 Version History"},{"id":344871,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5063/sir20175063_table5.xlsx","text":"Table 5","size":"47 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5063 Table 5"},{"id":344870,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5063/sir20175063_table4.xlsx","text":"Table 4","size":"23 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5063 Table 4"},{"id":344868,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5063/sir20175063_table2.xlsx","text":"Table 2","size":"42 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5063 Table 2"},{"id":344869,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5063/sir20175063_table3.xlsx","text":"Table 3","size":"60 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5063 Table 3"},{"id":344698,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5063/coverthb2.jpg"},{"id":344699,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5063/sir20175063.pdf","text":"Report","size":"1.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5063"}],"country":"United States","state":"Colorado, Kansas, Missouri, Nebraska, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.48046875,\n 36.38591277287651\n ],\n [\n -93.93310546875,\n 36.38591277287651\n ],\n [\n -93.93310546875,\n 40.713955826286046\n ],\n [\n -102.48046875,\n 40.713955826286046\n ],\n [\n -102.48046875,\n 36.38591277287651\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted August 14, 2017; Version 1.1: September 18, 2017","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
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Lawrence, KS 66049
The stochastic empirical loading and dilution model (SELDM) was used to demonstrate methods for estimating risks for water-quality exceedances of event-mean concentrations (EMCs) of total-copper. Monte Carlo methods were used to simulate stormflow, total-hardness, suspended-sediment, and total-copper EMCs as stochastic variables. These simulations were done for the Charles River Basin upstream of Interstate 495 in Bellingham, Massachusetts. The hydrology and water quality of this site were simulated with SELDM by using data from nearby, hydrologically similar sites. Three simulations were done to assess the potential effects of the highway on receiving-water quality with and without highway-runoff treatment by a structural best-management practice (BMP). In the low-development scenario, total copper in the receiving stream was simulated by using a sediment transport curve, sediment chemistry, and sediment-water partition coefficients. In this scenario, neither the highway runoff nor the BMP effluent caused concentration exceedances in the receiving stream that exceed the once in three-year threshold (about 0.54 percent). In the second scenario, without the highway, runoff from the large urban areas in the basin caused exceedances in the receiving stream in 2.24 percent of runoff events. In the third scenario, which included the effects of the urban runoff, neither the highway runoff nor the BMP effluent increased the percentage of exceedances in the receiving stream. Comparison of the simulated geometric mean EMCs with data collected at a downstream monitoring site indicates that these simulated values are within the 95-percent confidence interval of the geometric mean of the measured EMCs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World environmental and water resources congress 2017: Watershed management, irrigation and drainage, and water resources planning and management","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"World Environmental and Water Resources Congress 2017","conferenceDate":"May 21-25, 2017","conferenceLocation":"Sacremento, CA","language":"English","publisher":"American Society of Civil Engineers","publisherLocation":"Reston, VA","doi":"10.1061/9780784480601.028","isbn":"978-0-7844-8060-1","usgsCitation":"Granato, G.E., and Jones, S.C., 2017, Estimating risks for water-quality exceedances of total-copper from highway and urban runoff under predevelopment and current conditions with the Stochastic Empirical Loading and Dilution Model (SELDM), in World environmental and water resources congress 2017: Watershed management, irrigation and drainage, and water resources planning and management, Sacremento, CA, May 21-25, 2017, p. 313-327, https://doi.org/10.1061/9780784480601.028.","productDescription":"15 p.","startPage":"313","endPage":"327","ipdsId":"IP-074316","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":344706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"598c1f3ee4b09fa1cb0ffef3","contributors":{"editors":[{"text":"Dunn, Christopher N.","contributorId":195552,"corporation":false,"usgs":false,"family":"Dunn","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":707424,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Van Weele, Brian","contributorId":176821,"corporation":false,"usgs":false,"family":"Van Weele","given":"Brian","email":"","affiliations":[],"preferred":false,"id":707425,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":147346,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":false,"id":707417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":707418,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188747,"text":"ofr20171072 - 2017 - Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","interactions":[],"lastModifiedDate":"2017-08-04T14:35:14","indexId":"ofr20171072","displayToPublicDate":"2017-08-03T17:25:00","publicationYear":"2017","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":"2017-1072","displayTitle":"Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","title":"Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015","docAbstract":"The U.S. Army Garrison Fort Carson (AGFC) and the Piñon Canyon Maneuver Site (PCMS) are facilities operated by the U.S. Department of the Army in southern Colorado. The U.S. Geological Survey, in cooperation with the U.S. Department of the Army, established a hydrologic and water-quality data-collection network at the AGFC in June 1978 and at the PCMS in October 1982. The data-collection networks are designed to assess the quantity and quality of water resources and monitor the effects of military training activities on streamflow and water quality. Two preexisting U.S. Geological Survey streamgages at the PCMS were incorporated into the data-collection network at the time it was established, providing periods of record that begin as early as 1966. This report presents and summarizes precipitation, streamflow, suspended-sediment, and water-quality data from 34 U.S. Geological Survey sites on or near the AGFC and the PCMS for the period of record at each site. (Streamflow data are presented as discharge in cubic feet per second.)
At AGFC, daily sum precipitation ranged from 0 to 11.85 inches, daily mean discharge ranged from 0 to 836 cubic feet per second, and daily mean suspended-sediment discharge ranged from 0 to 39,900 tons per day. With the exception of total (unfiltered) mercury and filtered sulfate at two sites and filtered manganese at three sites, 95th percentile trace element concentrations and median total (unfiltered) metal concentrations were less than regulatory numeric standards for all samples. However, individual water-quality results occasionally exceeded respective regulatory numeric standards.
At the PCMS, daily sum precipitation ranged from 0 to 4.59 inches, daily mean discharge ranged from 0 to 4,190 cubic feet per second, and daily mean suspended-sediment discharge ranged from 0 to 21,100 tons per day. Water-quality results, 95th percentile trace element concentrations, and median total (unfiltered) metal concentrations were less than regulatory numeric standards for most properties and constituents except for filtered chloride at one site, filtered sulfate at six sites, filtered phosphorus at one site, filtered manganese at three sites, and total (unfiltered) iron at three sites. Individual water-quality values also occasionally exceeded respective regulatory numeric standards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171072","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Arnold, L.R., 2017, Precipitation, streamflow, suspended-sediment, and water-quality data for the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, 1966–2015: U.S. Geological Survey Open-File Report 2017–1072, 130 p., https://doi.org/10.3133/ofr20171072.","productDescription":"v, 129 p.","onlineOnly":"Y","ipdsId":"IP-086258","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":344560,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1072/ofr20171072.pdf","text":"Report","size":"4.69 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1072"},{"id":344559,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1072/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Piñon Canyon Maneuver Site, U.S. Army Garrison Fort Carson","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.05,\n 38.77\n ],\n [\n -104.59,\n 38.77\n ],\n [\n -104.59,\n 38.4\n ],\n [\n -105.05,\n 38.4\n ],\n [\n -105.05,\n 38.77\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225
Characterizing properties of the rock matrix that control retention and release of chlorinated solvents is essential in evaluating the extent of contamination and the application of remediation technologies in fractured rock. Core samples from seven closely spaced boreholes in a mudstone subject to trichloroethene (TCE) contamination were analyzed using Mercury Intrusion Porosimetry to investigate porosity and pore size distribution as a function of mudstone characteristics, and depth and lateral extent in the aquifer; organic carbon content was also evaluated to identify the potential for adsorption. Porosity and retardation factor varied over two orders of magnitude, with the largest porosities and largest retardation factors associated with carbon-rich mudstone layers. Larger porosities were also measured in the shallow rock that has been subject to enhanced groundwater flow. Porosity also varied over more than an order of magnitude in spatially continuous mudstone layers. The analyses of the rock cores indicated that the largest pore diameters may be accessible to entry of the nonaqueous form of TCE. Although the porosity associated with the largest pore diameters is small (~ 0.1%), that volume of TCE can significantly affect the total TCE that is retained in the rock matrix. The dimensions of the largest pore diameters may also be accessible to microbes responsible for reductive dechlorination; however, the small percentage of the pore space that can accommodate microbes may limit the extent of reductive dechlorination in the rock matrix.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2017.06.006","usgsCitation":"Shapiro, A.M., Evans, C.E., and Hayes, E.C., 2017, Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents: Journal of Contaminant Hydrology, v. 203, p. 70-84, https://doi.org/10.1016/j.jconhyd.2017.06.006.","productDescription":"15 p.","startPage":"70","endPage":"84","ipdsId":"IP-086579","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469650,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2017.06.006","text":"Publisher Index Page"},{"id":438253,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GX48RZ","text":"USGS data release","linkHelpText":"Data from Mercury Intrusion Porosimetry conducted on samples of a mudstone underlying the Naval Air Warfare Center, West Trenton, NJ"},{"id":438252,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71GM","text":"USGS data release","linkHelpText":"Lithologic characterization of cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ"},{"id":344483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819311e4b0e2f5d463b789","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":707000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Chrsitopher E.","contributorId":195406,"corporation":false,"usgs":false,"family":"Evans","given":"Chrsitopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":707001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Erin C.","contributorId":195407,"corporation":false,"usgs":false,"family":"Hayes","given":"Erin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191446,"text":"70191446 - 2017 - Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","interactions":[],"lastModifiedDate":"2017-10-12T13:24:01","indexId":"70191446","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","docAbstract":"Postwildfire debris flows are frequently triggered by runoff following high-intensity rainfall, but the physical mechanisms by which water-dominated flows transition to debris flows are poorly understood relative to debris flow initiation from shallow landslides. In this study, we combined a numerical model with high-resolution hydrologic and geomorphic data sets to test two different hypotheses for debris flow initiation during a rainfall event that produced numerous debris flows within a recently burned drainage basin. Based on simulations, large volumes of sediment eroded from the hillslopes were redeposited within the channel network throughout the storm, leading to the initiation of numerous debris flows as a result of the mass failure of sediment dams that built up within the channel. More generally, results provide a quantitative framework for assessing the potential of runoff-generated debris flows based on sediment supply and hydrologic conditions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074243","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., and Staley, D.M., 2017, Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?: Geophysical Research Letters, v. 44, no. 14, p. 7310-7319, https://doi.org/10.1002/2017GL074243.","productDescription":"10 p.","startPage":"7310","endPage":"7319","ipdsId":"IP-088758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl074243","text":"Publisher Index Page"},{"id":346555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"44","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"59e07f30e4b05fe04ccfcd14","contributors":{"authors":[{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":712303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192890,"text":"70192890 - 2017 - Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","interactions":[],"lastModifiedDate":"2018-01-26T11:56:26","indexId":"70192890","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"title":"Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","docAbstract":"The Colorado River Basin in Texas has experienced major alterations to its hydrologic regime due to changing land and water use patterns. These anthropogenic influences on hydrologic variability have had major implications for riparian and aquatic ecosystems and the species dependent upon them. However, impacts are often assessed at a limited temporal and spatial scale, tending to focus on relatively short and discrete periods or portions of a river basin. It is not clear how basin-wide alterations occurring over decades affect species. Guadalupe Bass Micropterus treculii are endemic to central Texas and are typically associated with shallow runs and riffles in small streams. However, Guadalupe Bass are found throughout the Colorado River Basin, including the mainstem portion of the lower river downstream of the city of Austin where they support a popular fishery. Because Guadalupe Bass exist across a wide range of stream orders within the basin, it is unclear whether populations respond similarly to anthropogenic disturbances or to conservation and restoration activities. Therefore, our objectives were to:
Results contribute to an understanding of the response of Guadalupe Bass to anthropogenic disturbances, including increased urbanization in central Texas and further assist in the conservation of the species. The ability of the population to not only persist, but flourish downstream of a heavily populated urban area presented a unique opportunity to investigate a native species response to anthropogenic disturbance. This research revealed differences in Guadalupe Bass habitat associations and movements, contrasts in age and growth, and morphological variation across a gradient of disturbance throughout the Colorado River Basin. Results of this work provide information on the potential effects of human population growth and increased water withdrawals on Guadalupe Bass populations. Additionally, this work adds to an understanding of the unique Guadalupe Bass population found in the lower Colorado River and how it differs from upstream tributary populations. Gathering additional population-level information facilitates conservation actions critical to preserving preferred habitat and promoting growth rates for Guadalupe Bass in streams of different sizes and flow conditions while highlighting interpopulation differences that may warrant consideration for stocking programs and other management strategies. Key findings of this study were:
This report presents the results of a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources to estimate total nitrogen (TN) and total phosphorus (TP) concentrations at monitoring sites within and near the Lower Grand River hydrological unit. The primary objectives of the study were to quantify temporal changes in TN and TP concentrations and compare those concentrations to conservation practices and agricultural activities. Despite increases in funding during 2011–15 for conservation practices in the Lower Grand River from the Mississippi River Basin Healthy Watersheds Initiative, decreases in flow-normalized TN and TP concentrations during this time at the long-term Grand River site were less than at other long-term sites, which did not receive funding from the Mississippi River Basin Healthy Watersheds Initiative. The relative differences in the magnitude of flow-normalized TN and TP concentrations among long-term sites are directly related to the amount of agricultural land use within the watershed. Significant relations were determined between nitrogen from cattle manure and flow-normalized TN concentrations at selected long-term sites, indicating livestock manure may be a substantial source of nitrogen within the selected long-term site watersheds. Relations between flow-normalized TN and TP concentrations with Conservation Reserve Program acres and with nitrogen and phosphorus from commercial fertilizer indicate that changes in these factors alone did not have a substantial effect on stream TN and TP concentrations; other landscape activities, runoff, within-bank nutrients that are suspended during higher streamflows, or a combination of these have had a greater effect on stream TN and TP concentrations; or there is a lag time that is obscuring relations. Temporal changes in flow-adjusted TN and TP concentrations were not substantial at Lower Grand River Mississippi River Basin Healthy Watersheds Initiative sites, indicating factors besides stream variability did not have substantial effects on TN and TP concentrations. Flow-weighted TN and TP concentrations at Lower Grand River Mississippi River Basin Healthy Watershed Initiative sites increase with increasing streamflow, which indicates runoff, within-bank nutrients that are suspended during higher streamflows, or both, have more effect on stream TN and TP concentrations than consistent point sources or groundwater sources. Timing of TN and TP concentration increases compared to streamflow increases indicate that nitrogen and phosphorus loads are more strongly related to streamflow than to a particular period of the year, indicating that runoff, within-bank nutrients that are suspended during higher streamflows, or both are a substantial source of nutrients regardless of timing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175067","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Krempa, H.M., and Flickinger, A.K., 2017, Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015: U.S. Geological Survey Scientific Investigations Report 2017–5067, 28 p., https://doi.org/10.3133/sir20175067.","productDescription":"Report: vii, 28 p.; Appendix: 1–8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082213","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":344501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5067/coverthb.jpg"},{"id":344502,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5067"},{"id":344503,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067_appendixes.xlsx","text":"Appendix 1–8","size":"725 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5067 Appendixes","linkHelpText":"Supplemental Data for Selected Sites in Missouri and Iowa"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Chariton River, Lower Grand River, Nodaway River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.2,\n 39.2\n ],\n [\n -92.5,\n 39.2\n ],\n [\n -92.5,\n 41.5\n ],\n [\n -95.2,\n 41.5\n ],\n [\n -95.2,\n 39.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401