No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Food, Energy, and Water: The Chemistry Connection","language":"English","publisher":"Elsevier","isbn":"9780128002117","usgsCitation":"Myers, D.N., 2015, Foundations of water quality monitoring and assessment in the United States, chap. of Food, Energy, and Water: The Chemistry Connection, p. 21-92.","productDescription":"72 p.","startPage":"21","endPage":"92","ipdsId":"IP-051115","costCenters":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"links":[{"id":349509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349493,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/food-energy-and-water/ahuja/978-0-12-800211-7"}],"edition":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252c4","contributors":{"editors":[{"text":"Ahuja, Satinder","contributorId":59343,"corporation":false,"usgs":true,"family":"Ahuja","given":"Satinder","affiliations":[],"preferred":false,"id":724015,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Myers, Donna N. 0000-0001-6359-2865 dnmyers@usgs.gov","orcid":"https://orcid.org/0000-0001-6359-2865","contributorId":512,"corporation":false,"usgs":true,"family":"Myers","given":"Donna","email":"dnmyers@usgs.gov","middleInitial":"N.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":723977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70197945,"text":"70197945 - 2015 - Seismic hazard assessment: Honing the debate, testing the models","interactions":[],"lastModifiedDate":"2020-09-01T14:30:22.58483","indexId":"70197945","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Seismic hazard assessment: Honing the debate, testing the models","docAbstract":"Four workshops held in 2013–2014 at the U.S. Geological Survey (USGS) John Wesley Powell Center for Analysis and Synthesis brought together university, government, and insurance industry scientists from countries that straddle plate boundaries and those in plate interiors. Participants were invited; the workshops’ goals involved developing tests of Probabilistic Seismic Hazard Analysis and other earthquake hazard assessment strategies and seeking viable alternatives to overcome weaknesses to these strategies.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2015EO031841","usgsCitation":"Stein, R., and Stirling, M.W., 2015, Seismic hazard assessment: Honing the debate, testing the models: Eos, Earth and Space Science News, HTML document, https://doi.org/10.1029/2015EO031841.","productDescription":"HTML document","ipdsId":"IP-063007","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":471549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2015eo031841","text":"Publisher Index Page"},{"id":355414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e9b6e4b060350a15d34a","contributors":{"authors":[{"text":"Stein, Ross","contributorId":206052,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stirling, Mark W.","contributorId":175118,"corporation":false,"usgs":false,"family":"Stirling","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":739269,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189993,"text":"70189993 - 2015 - Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States","interactions":[],"lastModifiedDate":"2017-08-01T15:37:13","indexId":"70189993","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States","docAbstract":"Potentiometric surfaces for Paleozoic strata, based on water well levels and selected drill-stem tests, reveal the control on hydraulic head exerted by outcrops in eastern Kansas and Oklahoma. From outcrop in the east, the westward climb of hydraulic head is much less than that of the land surface, with heads falling so far below land surface that the pressure:depth ratio in eastern Colorado is less than 5.7 kPa/m (0.25 psi/ft). Permian evaporites separate the Paleozoic hydrogeologic units from a Lower Cretaceous (Dakota Group) aquifer, and a highly saline brine plume pervading Paleozoic units in central Kansas and Oklahoma is attributed to dissolution of Permian halite. Underpressure also exists in the Lower Cretaceous hydrogeologic unit in the Denver Basin, which is hydrologically separate from the Paleozoic units. The data used to construct the seven potentiometric surfaces were also used to construct seven maps of pressure:depth ratio. These latter maps are a function of the differences among hydraulic head, land-surface elevation, and formation elevation. As a consequence, maps of pressure:depth ratio reflect the interplay of three topologies that evolved independently with time. As underpressure developed, gas migrated in response to the changing pressure regime, most notably filling the Hugoton gas field in southwestern Kansas. The timing of underpressure development was determined by the timing of outcrop exposure and tilting of the Great Plains. Explorationists in western Kansas and eastern Colorado should not be surprised if a reservoir is underpressured; rather, they should be surprised if it is not.","language":"English","publisher":"AAPG","doi":"10.1306/04171514169","usgsCitation":"Nelson, P.H., Gianoutsos, N.J., and Drake II, R.M., 2015, Underpressure in Mesozoic and Paleozoic rock units in the Midcontinent of the United States: AAPG Bulletin, v. 99, no. 10, p. 1861-1892, https://doi.org/10.1306/04171514169.","productDescription":"32 p.","startPage":"1861","endPage":"1892","ipdsId":"IP-059467","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Colorado, Kansas, Iowa, Missouri, Nebraska, New Mexico, Oklahoma, Texas, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.2705078125,\n 43.45291889355465\n ],\n [\n -107.4462890625,\n 33.211116472416855\n ],\n [\n -91.8896484375,\n 33.00866349457558\n ],\n [\n -92.28515625,\n 43.51668853502906\n ],\n [\n -107.2705078125,\n 43.45291889355465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b79f","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":707032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193683,"text":"70193683 - 2015 - Regulating services as measures of ecological resilience on DoD lands","interactions":[],"lastModifiedDate":"2017-12-21T10:20:18","indexId":"70193683","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"Project RC-201114","title":"Regulating services as measures of ecological resilience on DoD lands","docAbstract":"Knowledge of the capacity and flow of ecosystem services can help DoD land managers make decisions that enhance cost-effectiveness, minimize environmental damage, and maximize resources available for military missions. We demonstrated a methodology to quantify and map selected regulating services (RS), which helps land managers envision tradeoffs. Our objectives were to 1) estimate current capacity of and demand for selected RS within DoD lands, 2) examine the effects of future DoD land management and climate changes on the capacity and flow of these RS, and 3) project how land-use and climate changes in nearby lands affect future demand for RS. Our approach incorporates widely accepted models and equations, remote sensing, GIS analysis, and stakeholder involvement. Required data include land cover/use, soil type, precipitation, and air temperature. We integrated data into the a) Surface Curve Number Method and b) Revised Universal Soil Loss Equation to estimate capacity of sediment, nitrogen (N) and surface-water regulation. Capacities and flows of RS vary greatly across landscapes and are likely to vary as climate changes or development occurs. Analyses of RS capacity and flow can help managers and planners prioritize actions in the context of best management practices and compatible use buffers. Staff surveys indicated that our approach was informative and easy to use. Implementation may be most limited by on-installation personnel time.
","language":"English","publisher":"Environmental Security Technology Certification Program (ESTCP)","publisherLocation":"Alexandria, VA","usgsCitation":"Angermeier, P.L., and Villamagna, A.M., 2015, Regulating services as measures of ecological resilience on DoD lands, v, 93 p.","productDescription":"v, 93 p.","ipdsId":"IP-064228","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350117,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://serdp-estcp.org/Program-Areas/Resource-Conservation-and-Resiliency/Natural-Resources/Watershed-Processes-and-Management/RC-201114"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252cd","contributors":{"authors":[{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villamagna, Amy M.","contributorId":201421,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":725238,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193849,"text":"70193849 - 2015 - Upstream dam passage and use of an eel ladder by the common watersnake (Nerodia sipedon)","interactions":[],"lastModifiedDate":"2017-11-15T15:42:57","indexId":"70193849","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Upstream dam passage and use of an eel ladder by the common watersnake (Nerodia sipedon)","title":"Upstream dam passage and use of an eel ladder by the common watersnake (Nerodia sipedon)","docAbstract":"No abstract available.
","language":"English","publisher":"Herpetological Review","usgsCitation":"Welsh, S., and Loughman, Z.J., 2015, Upstream dam passage and use of an eel ladder by the common watersnake (Nerodia sipedon): Herpetological Review, v. 46, no. 2, p. 176-179.","productDescription":"4 p.","startPage":"176","endPage":"179","ipdsId":"IP-061308","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252cb","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","interactions":[{"subject":{"id":70156593,"text":"ofr20131280D - 2015 - Database creation, data quality assessment, and geochemical maps (phase V, deliverable 59)—Final report on compilation and validation of geochemical data","indexId":"ofr20131280D","publicationYear":"2015","noYear":false,"chapter":"D","title":"Database creation, data quality assessment, and geochemical maps (phase V, deliverable 59)—Final report on compilation and validation of geochemical data"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":1},{"subject":{"id":70156594,"text":"ofr20131280J - 2015 - Permissive tracts for sediment-hosted lead-zinc-silver deposits in the Islamic Republic of Mauritania (phase V, deliverable 73)","indexId":"ofr20131280J","publicationYear":"2015","noYear":false,"chapter":"J","title":"Permissive tracts for sediment-hosted lead-zinc-silver deposits in the Islamic Republic of Mauritania (phase V, deliverable 73)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":2},{"subject":{"id":70156595,"text":"ofr20131280J1 - 2012 - Permissive tracts for sediment-hosted lead-zinc-silver deposits in Mauritania (phase V, deliverable 72): Chapter J1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280J1","publicationYear":"2012","noYear":false,"chapter":"J1","title":"Permissive tracts for sediment-hosted lead-zinc-silver deposits in Mauritania (phase V, deliverable 72): Chapter J1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":3},{"subject":{"id":70156596,"text":"ofr20131280K1 - 2012 - Permissive tracts for sediment-hosted copper deposits in Mauritania (phase V, deliverable 74): Chapter K1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280K1","publicationYear":"2012","noYear":false,"chapter":"K1","title":"Permissive tracts for sediment-hosted copper deposits in Mauritania (phase V, deliverable 74): Chapter K1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":4},{"subject":{"id":70156597,"text":"ofr20131280K - 2015 - Mineral potential for sediment-hosted copper deposits in the Islamic Republic of Mauritania (phase V, deliverable 75)","indexId":"ofr20131280K","publicationYear":"2015","noYear":false,"chapter":"K","title":"Mineral potential for sediment-hosted copper deposits in the Islamic Republic of Mauritania (phase V, deliverable 75)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":5},{"subject":{"id":70156598,"text":"ofr20131280L - 2015 - Mineral potential for volcanogenic massive sulfide deposits in the Islamic Republic of Mauritania, (phase V, deliverable 77)","indexId":"ofr20131280L","publicationYear":"2015","noYear":false,"chapter":"L","title":"Mineral potential for volcanogenic massive sulfide deposits in the Islamic Republic of Mauritania, (phase V, deliverable 77)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":6},{"subject":{"id":70156599,"text":"ofr20131280O - 2015 - Algoma-, Superior-, and oolitic-type iron deposits of the Islamic Republic of Mauritania (phase V, deliverable 83)","indexId":"ofr20131280O","publicationYear":"2015","noYear":false,"chapter":"O","title":"Algoma-, Superior-, and oolitic-type iron deposits of the Islamic Republic of Mauritania (phase V, deliverable 83)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":7},{"subject":{"id":70156600,"text":"ofr20131280R - 2015 - Reported industrial minerals occurrences and permissive areas for other occurrences in the Islamic Republic of Mauritania, (phase V, deliverable 89)","indexId":"ofr20131280R","publicationYear":"2015","noYear":false,"chapter":"R","title":"Reported industrial minerals occurrences and permissive areas for other occurrences in the Islamic Republic of Mauritania, (phase V, deliverable 89)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":8},{"subject":{"id":70156601,"text":"ofr20131280L1 - 2012 - Permissive tracts for volcanogenic massive sulfide deposits in Mauritania (phase V, deliverable 76): Chapter L1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280L1","publicationYear":"2012","noYear":false,"chapter":"L1","title":"Permissive tracts for volcanogenic massive sulfide deposits in Mauritania (phase V, deliverable 76): Chapter L1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":9},{"subject":{"id":70156602,"text":"ofr20131280O1 - 2012 - Permissive tracts for algoma-, superior-, and oolitic-type iron deposits in Mauritania (phase V, deliverable 82): Chapter O1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280O1","publicationYear":"2012","noYear":false,"chapter":"O1","title":"Permissive tracts for algoma-, superior-, and oolitic-type iron deposits in Mauritania (phase V, deliverable 82): Chapter O1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":10},{"subject":{"id":70156603,"text":"ofr20131280R1 - 2012 - Reported industrial minerals occurrences and permissive areas for other occurrences in the Islamic Republic of Mauritania (phase V deliverable 88): Chapter R1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280R1","publicationYear":"2012","noYear":false,"chapter":"R1","title":"Reported industrial minerals occurrences and permissive areas for other occurrences in the Islamic Republic of Mauritania (phase V deliverable 88): Chapter R1 in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":11},{"subject":{"id":70159506,"text":"ofr20131280A - 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In 1999, the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania implemented a program for the acquisition of the recommended basic geoscientific information, termed the first Projet de Renforcement Institutionnel du Secteur Minier (Project for Institutional Capacity Building in the Mining Sector, PRISM-I). As a result of the PRISM-I efforts, a great deal of new geological, geophysical, geochemical, remote sensing, and hydrological data became available for evaluation and synthesis. However, the Ministry of Petroleum, Energy, and Mines recognized that additional work was required to extract the full benefit of the data before it could be of greatest use to the international community and of benefit to the Mauritanian minerals and development sector.
\nTo achieve this benefit, the Ministry of Petroleum, Energy, and Mines implemented a second Projet de Renforcement Institutionnel du Secteur Minier (PRISM-II) in 2006 to consolidate, synthesize, and interpret all of the existing data, create a new 1:1,000,000 scale geologic map, and define the mineral resource potential of the country. A consortium in which the USGS was the lead scientific agency carried out the majority of the PRISM-II work. In 2008, the USGS Mauritania Minerals Project was interrupted due to political changes in Mauritania. PRISM-II work resumed in 2011, and was completed in 2013 with the delivery of over 40 separate written reports and plates, an access file containing the Mauritanian National Mineral Deposits Database, and an interactive GIS containing all of the multi-disciplinary data and interpretive areas of mineral resource potential in Mauritania.
\nThis report contains the USGS results of the PRISM-II Mauritania Minerals Project and is presented in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania. The Report is composed of separate chapters consisting of multidisciplinary interpretive reports with accompanying plates on the geology, structure, geochronology, geophysics, hydrogeology, geochemistry, remote sensing (Landsat TM and ASTER), and SRTM and ASTER digital elevation models of Mauritania. The syntheses of these multidisciplinary data formed the basis for additional chapters containing interpretive reports on 12 different commodities and deposit types known to occur in Mauritania, accompanied by countrywide mineral resource potential maps of each commodity/deposit type. The commodities and deposit types represented include: (1) Ni, Cu, PGE, and Cr deposits hosted in ultramafic rocks; (2) orogenic, Carlin-like, and epithermal gold deposits; (3) polymetallic Pb-Zn-Cu vein deposits; (4) sediment-hosted Pb-Zn-Ag deposits of the SEDEX and Mississippi Valley-type; (5) sediment-hosted copper deposits; ( 6) volcanogenic massive sulfide deposits; (7) iron oxide copper-gold deposits; (8) uranium deposits; (9) Algoma-, Superior-, and oolitic-type iron deposits; (10) shoreline Ti-Zr placer deposits; (11) incompatible element deposits hosted in pegmatites, alkaline rocks, and carbonatites, and; (12) industrial mineral deposits. Additional chapters include the Mauritanian National Mineral Deposits Database are accompanied by an explanatory text and the Mauritania Minerals Project GIS that contains all of the interpretive layers created by USGS scientists. Raw data not in the public domain may be obtained from the Ministry of Petroleum, Energy, and Mines in Nouakchott, Mauritania.
","language":"English, French","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Taylor, C.D., ed., 2015, Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) phase V: U.S. Geological Survey Open-File Report 2013‒1280, 20 chaps., pages variable, pls. variable, https://dx.doi.org/10.3133/ofr20131280. [In English and French.]","productDescription":"Report: 20 Chapters; Readme; GIS and Maps; Publication Index","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071408","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":312690,"rank":35,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2013/1280/GIS_and_Maps/Chapter_Q1_deliverable_86-Incompatible_element_deposits_hosted_in_pegmatities_alkaline rocks_and_carbonatities","text":"Chapter Q1--Permissive Tracts for Incompatible Element Deposits Hosted in Pegmatities, Alkaline Rocks, and Carbonatities in Mauritania","size":"2.39 MB","description":"OFR 2013-1280 Chapter Q1","linkHelpText":"Director, Central Mineral and Environmental Resources Science Center
U.S. Geological Survey
Box 25046, MS-973
Denver, CO 80225
http://minerals.cr.usgs.gov/
A new Web-based application, titled “Application of Flood Regressions and Climate Change Scenarios To Explore Estimates of Future Peak Flows”, has been developed by the U.S. Geological Survey, in cooperation with the New York State Department of Transportation, that allows a user to apply a set of regression equations to estimate the magnitude of future floods for any stream or river in New York State (exclusive of Long Island) and the Lake Champlain Basin in Vermont. The regression equations that are the basis of the current application were developed in previous investigations by the U.S. Geological Survey (USGS) and are described at the USGS StreamStats Web sites for New York (http://water.usgs.gov/osw/streamstats/new_york.html) and Vermont (http://water.usgs.gov/osw/streamstats/Vermont.html). These regression equations include several fixed landscape metrics that quantify aspects of watershed geomorphology, basin size, and land cover as well as a climate variable—either annual precipitation or annual runoff.
\nThe application uses predictions of future annual precipitation from five climate models and two future greenhouse gas emissions scenarios and provides results that are averaged over three future periods—2025 to 2049, 2050 to 2074, and 2075 to 2099. Results are presented in ensemble form as the mean, median, maximum, and minimum values among the five climate models for each greenhouse gas emissions scenario and period. These predictions of future annual precipitation are substituted into either the precipitation variable or a water balance equation for runoff to calculate potential future peak flows. This application is intended to be used only as an exploratory tool because (1) the regression equations on which the application is based have not been adequately tested outside the range of the current climate and (2) forecasting future precipitation with climate models and downscaling these results to a fine spatial resolution have a high degree of uncertainty. This report includes a discussion of the assumptions, uncertainties, and appropriate use of this exploratory application.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151235","collaboration":"Prepared in cooperation with the New York State Department of Transportation","usgsCitation":"Burns, D.A., Smith, M.J., and Freehafer, D.A., 2015, Development of flood regressions and climate change scenarios to explore estimates of future peak flows: U.S. Geological Survey Open-File Report 2015–1235, 11 p., https://dx.doi.org/10.3133/ofr20151235.","productDescription":"iii, 11 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063239","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":313159,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1235/ofr20151235.pdf","text":"Report","size":"643 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1235"},{"id":313160,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://dx.doi.org/10.5066/F7WS8R9S","text":"Application of Flood Regressions and Climate Change Scenarios to Explore Estimates of Future Peak Flows"},{"id":313161,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1235/index.html"},{"id":313157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1235/coverthb.jpg"}],"contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Email: dc_ny@usgs.gov
Information requests:
(518) 285-5602 or visit our Web site at:
http://ny.water.usgs.gov
Process-based models are widely used for rainfall-induced shallow landslide forecasting. Previous studies have successfully applied the U.S. Geological Survey’s Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability (TRIGRS) model (Baum et al. 2002) to compute infiltration-driven changes in the hillslopes’ factor of safety on small scales (i.e., tens of square kilometers). Soil data input for such models are difficult to obtain across larger regions. This work describes a novel methodology for the application of TRIGRS over broad areas with relatively uniform hydrogeological properties. The study area is a 550-km2 region in Central Italy covered by post-orogenic Quaternary sediments. Due to the lack of field data, we assigned mechanical and hydrological property values through a statistical analysis based on literature review of soils matching the local lithologies. We calibrated the model using rainfall data from 25 historical rainfall events that triggered landslides. We compared the variation of pressure head and factor of safety with the landslide occurrence to identify the best fitting input conditions. Using calibrated inputs and a soil depth model, we ran TRIGRS for the study area. Receiver operating characteristic (ROC) analysis, comparing the model’s output with a shallow landslide inventory, shows that TRIGRS effectively simulated the instability conditions in the post-orogenic complex during historical rainfall scenarios. The implication of this work is that rainfall-induced landslides over large regions may be predicted by a deterministic model, even where data on geotechnical and hydraulic properties as well as temporal changes in topography or subsurface conditions are not available.
","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin, Germany","doi":"10.1007/s10346-015-0670-6","usgsCitation":"Gioia, E., Speranza, G., Ferretti, M., Godt, J.W., Baum, R.L., and Marincioni, F., 2015, Application of a process-based shallow landslide hazard model over a broad area in Central Italy: Landslides, p. 1-18, https://doi.org/10.1007/s10346-015-0670-6.","productDescription":"18 p.","startPage":"1","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068185","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Esino river basin, Marche region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 13.276290893554688,\n 43.683763524273346\n ],\n [\n 13.047637939453123,\n 43.54058479482877\n ],\n [\n 12.946014404296875,\n 43.479331676747684\n ],\n [\n 12.816925048828125,\n 43.47210668475589\n ],\n [\n 12.774696350097654,\n 43.4574048966441\n ],\n [\n 12.775382995605469,\n 43.4374645579086\n ],\n [\n 12.78053283691406,\n 43.41801639874422\n ],\n [\n 12.772293090820312,\n 43.38783445346398\n ],\n [\n 12.77984619140625,\n 43.36312895068202\n ],\n [\n 12.814521789550781,\n 43.29494951091899\n ],\n [\n 12.823104858398438,\n 43.27770522927142\n ],\n [\n 13.016738891601562,\n 43.32967314784173\n ],\n [\n 13.399200439453125,\n 43.487303079190156\n ],\n [\n 13.485031127929688,\n 43.59083558861119\n ],\n [\n 13.486404418945312,\n 43.608736628843445\n ],\n [\n 13.276290893554688,\n 43.683763524273346\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-30","publicationStatus":"PW","scienceBaseUri":"56a360b9e4b0b28f1183bbe2","contributors":{"authors":[{"text":"Gioia, Eleonora","contributorId":152470,"corporation":false,"usgs":false,"family":"Gioia","given":"Eleonora","email":"","affiliations":[{"id":18931,"text":"Universita Politecnica delle Marche","active":true,"usgs":false}],"preferred":false,"id":589450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Speranza, Gabriella","contributorId":152471,"corporation":false,"usgs":false,"family":"Speranza","given":"Gabriella","email":"","affiliations":[{"id":18932,"text":"Functional Center of Marche Region's Civil Protection System","active":true,"usgs":false}],"preferred":false,"id":589451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferretti, Maurizio","contributorId":152472,"corporation":false,"usgs":false,"family":"Ferretti","given":"Maurizio","email":"","affiliations":[{"id":18932,"text":"Functional Center of Marche Region's Civil Protection System","active":true,"usgs":false}],"preferred":false,"id":589452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":589454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marincioni, Fausto","contributorId":53879,"corporation":false,"usgs":true,"family":"Marincioni","given":"Fausto","email":"","affiliations":[],"preferred":false,"id":589455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159866,"text":"sir20155172 - 2015 - Continuous slope-area discharge records in Maricopa County, Arizona, 2004–2012","interactions":[],"lastModifiedDate":"2016-05-26T16:15:30","indexId":"sir20155172","displayToPublicDate":"2015-12-29T14:30:00","publicationYear":"2015","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":"2015-5172","title":"Continuous slope-area discharge records in Maricopa County, Arizona, 2004–2012","docAbstract":"Continuous slope-area (CSA) streamgages have been developed and implemented by the U.S. Geological Survey (USGS) to enable the recording of discharge hydrographs in areas where direct discharge measurements cannot be made. The flashy nature of streamflow in parts of the arid Southwest and remote location of many sites make discharge measurements difficult or impossible to obtain. Consequently, available discharge measurements may be insufficient to develop accurate rating curves, which relate discharge to continuously recorded stage measured at standard streamgages. Nine CSA streamgages have been installed in Maricopa County, Arizona, since 2004 in cooperation with the Flood Control District of Maricopa County. This report presents the data and analysis of computed discharges from those streamgages, along with descriptions of the streamgage site and stream properties.
\nAnalyses of sources of errors and the impact stage data errors have on calculated discharge time series are considered, along with issues in data reduction. Steeper, longer stream reaches are generally less sensitive to measurement error. Other issues considered are pressure transducer drawdown, capture of flood peaks with discrete stage data, selection of stage record for development of rating curves, and minimum stages for the calculation of discharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155172","collaboration":"Prepared in cooperation with the Flood Control District of Maricopa County","usgsCitation":"Wiele, S.M., Heaton, J.W., Bunch, C.E., Gardner, D.E., and Smith, C.F., 2015, Continuous slope-area discharge records in Maricopa County, Arizona, 2004–2012: U.S. Geological Survey Scientific Investigations Report 2015–5172, 28 p., https://dx.doi.org/10.3133/sir20155172.","productDescription":"vii, 28 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046154","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":321784,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5172/sir20155172_appendixes1-9.zip","text":"Appendixes 1-9","size":"967 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2015-5172 Appendixes 1-9"},{"id":311902,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5172/coverthb.jpg"},{"id":311903,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5172/sir20155172.pdf","text":"Report","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5172"}],"country":"United States","state":"Arizona","county":"Maricopa County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.79638671875,\n 32.96258644191747\n ],\n [\n -113.79638671875,\n 34.32529192442733\n ],\n [\n -111.5716552734375,\n 34.32529192442733\n ],\n [\n -111.5716552734375,\n 32.96258644191747\n ],\n [\n -113.79638671875,\n 32.96258644191747\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
http://az.water.usgs.gov/
Asian carp eggs are semi-buoyant and must remain suspended in the water to survive, supported by the turbulence of the flow, until they hatch and develop the ability to swim. Analysis of the transport and dispersal patterns of Asian carp eggs will facilitate the development and implementation of control strategies to target the early life stages. Experimenting with Asian carp eggs is complicated due to practical issues of obtaining eggs in close proximity to experimental facilities and extensive handling of eggs tends to damage them. Herein, we describe laboratory experiments using styrene beads (4.85 mm diameter) as synthetic surrogate eggs to mimic the physical properties of water-hardened silver carp eggs. The first set of experiments was completed in a rectangular vertical column filled with salt water. The salinity of the water was adjusted in an iterative fashion to obtain a close approximation of the fall velocity of the styrene beads to the mean fall velocity of silver carp water-hardened eggs. The terminal fall velocity of synthetic eggs was measured using an image processing method. The second set of experiments was performed in a temperature-controlled recirculatory flume with a sediment bed. The flume was filled with salt water, and synthetic eggs were allowed to drift under different flow conditions. Drifting behavior, suspension conditions, and settling characteristics of synthetic eggs were observed. At high velocities, eggs were suspended and distributed through the water column. Eggs that touched the sediment bed were re-entrained by the flow. Eggs saltated when they touched the bed, especially at moderate velocities and with a relatively flat bed. At lower velocities, some settling of the eggs was observed. With lower velocities and a flat bed, eggs were trapped near the walls of the flume. When bedforms were present, eggs were trapped in the lee of the bedforms in addition to being trapped near the flume walls. Results of this research study provide insights about transport, suspension, and dispersion of silver carp eggs. The knowledge gained from this study is useful to characterize the critical hydrodynamic conditions of the flow at which surrogates for silver carp water-hardened eggs settle out of suspension, and provides insight into how eggs may interact with riverbed sediments and morphology.
","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0145775","collaboration":"Great Lakes Restoration Initiative \nUniversity of Illinois","usgsCitation":"Garcia, T., Zuniga Zamalloa, C., Jackson, P., Murphy, E., and Garcia, M., 2015, A laboratory investigation of the suspension, transport, and settling of silver carp eggs using synthetic surrogates: PLoS ONE, p. 1-19, https://doi.org/10.1371/journal.pone.0145775.","productDescription":"19 p.","startPage":"1","endPage":"19","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064982","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":471554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0145775","text":"Publisher Index Page"},{"id":313936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-29","publicationStatus":"PW","scienceBaseUri":"568e48cee4b0e7a44bc41839","contributors":{"authors":[{"text":"Garcia, Tatiana 0000-0002-1979-7246 tgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-1979-7246","contributorId":140327,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","email":"tgarcia@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuniga Zamalloa, Carlo","contributorId":148037,"corporation":false,"usgs":false,"family":"Zuniga Zamalloa","given":"Carlo","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":573636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":2960,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Elizabeth A. emurphy@usgs.gov","contributorId":140328,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","email":"emurphy@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":573639,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159829,"text":"sir20155173 - 2015 - Preliminary assessment of aggradation potential in the North Fork Stillaguamish River downstream of the State Route 530 landslide near Oso, Washington","interactions":[],"lastModifiedDate":"2016-01-04T18:19:31","indexId":"sir20155173","displayToPublicDate":"2015-12-28T16:00:00","publicationYear":"2015","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":"2015-5173","title":"Preliminary assessment of aggradation potential in the North Fork Stillaguamish River downstream of the State Route 530 landslide near Oso, Washington","docAbstract":"On March 22, 2014, the State Route 530 Landslide near Oso, Washington, traveled almost 2 kilometers (km), destroyed more than 40 structures, and impounded the North Fork Stillaguamish River to a depth of 8 meters (m) and volume of 3.3×106 cubic meters (m3). The landslide killed 43 people. After overtopping and establishing a new channel through the landslide, the river incised into the landslide deposit over the course of 10 weeks draining the impoundment lake and mobilizing an estimated 280,000±56,000 m3 of predominantly sand-sized and finer sediment. During the first 4 weeks after the landslide, this eroded sediment caused downstream riverbed aggradation of 1–2 m within 1 km of the landslide and 0.4 m aggradation at Whitman Road Bridge, 3.5 km downstream. Winter high flows in 2014–15 were anticipated to mobilize an additional 220,000±44,000 m3 of sediment, potentially causing additional aggradation and exacerbating flood risk downstream of the landslide. Analysis of unit stream power and bed-material transport capacity along 35 km of the river corridor indicated that most fine-grained sediment will transport out of the North Fork Stillaguamish River, although some localized additional aggradation was possible. This new aggradation was not likely to exceed 0.1 m except in reaches within a few kilometers downstream of the landslide, where additional aggradation of up to 0.5 m is possible. Alternative river response scenarios, including continued mass wasting from the landslide scarp, major channel migration or avulsion, or the formation of large downstream wood jams, although unlikely, could result in reaches of significant local aggradation or channel change.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155173","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and Snohomish County Department of Public Works","usgsCitation":"Magirl, C.S., Keith, M.K., Anderson, S.W., O’Connor, J.E., Aldrich, Robert, and Mastin, M.C., 2015, Preliminary assessment of aggradation potential in the North Fork Stillaguamish River downstream of the State Route 530 landslide near Oso, Washington: U.S. Geological Survey Scientific Investigations Report 2015–5173, 20 p., https://dx.doi.org/10.3133/sir20155173.","productDescription":"v, 20 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060502","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":312938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5173/sir20155173.pdf","text":"Report","size":"1.3 MB","description":"SIR 2015-5173 Report PDF"},{"id":312937,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5173/cover.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"North Fork Stillaguamish River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.5,\n 48.5\n ],\n [\n -122.5,\n 48\n ],\n [\n -121.5,\n 48\n ],\n [\n -121.5,\n 48.5\n ],\n [\n -122.5,\n 48.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
We present ∼1300 new isotopic measurements (δ18O and δ2H) from a network of snowpack sites in the Rocky Mountains that have been sampled since 1993. The network includes 177 locations where depth-integrated snow samples are collected each spring near peak accumulation. At 57 of these locations snowpack samples were obtained for 10–21 years and their isotopic measurements provide unprecedented spatial and temporal documentation of snowpack isotope values at mid-latitudes. For environments where snowfall accounts for the majority of annual precipitation, snowmelt is likely to have the strongest influence on isotope values retained in proxy archives. In this first presentation of the dataset we (1) describe the basic features of the isotope values in relation to the Global Meteoric Water Line (GMWL), (2) evaluate space for time substitutions traditionally used to establish δ18O-temperature relations, (3) evaluate site-to-site similarities across the network and identify those that are the most regionally representative, (4) examine atmospheric circulation patterns for several years with spatially coherent isotope patterns, and (5) provide examples of the implications this new dataset has for interpreting paleoclimate records (Bison Lake, Colorado and Minnetonka Cave, Idaho). Results indicate that snowpack δ18O is rarely a simple proxy of temperature. Instead, it exhibits a high degree of spatial heterogeneity and temporal variance that reflect additional processes such as vapor transport and post-depositional modification. Despite these complexities we identify consistent climate-isotope patterns and regionally representative locations that serve to better define Holocene hydroclimate estimates and their uncertainty. Climate change has and will affect western U.S. snowpack and we suggest these changes can be better understood and anticipated by oxygen and hydrogen isotope-based reconstructions of Holocene hydroclimate using a process-based understanding of the controls on snowpack isotope ratios.
","language":"English","publisher":"Elseiver Ltd.","doi":"10.1016/j.quascirev.2015.03.023","usgsCitation":"Anderson, L., Berkelhammer, M., and Mast, M.A., 2015, Isotopes in North American Rocky Mountain snowpack 1993–2014: Quaternary Science Reviews, v. 131, p. 262-273, https://doi.org/10.1016/j.quascirev.2015.03.023.","productDescription":"12 p.","startPage":"262","endPage":"273","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061199","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":312939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, Montana, New Mexico, Wyoming","otherGeospatial":"Bison Lake, Minnetonka Cave, Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.8515625,\n 49.03786794532644\n ],\n [\n -111.796875,\n 47.96050238891509\n ],\n [\n -110.830078125,\n 46.86019101567027\n ],\n [\n -109.51171875,\n 46.437856895024204\n ],\n [\n -108.5009765625,\n 45.583289756006316\n ],\n [\n -108.06152343749999,\n 43.83452678223682\n ],\n [\n -107.0068359375,\n 42.293564192170095\n ],\n [\n -104.9853515625,\n 41.07935114946899\n ],\n [\n -103.88671875,\n 38.06539235133249\n ],\n [\n -104.32617187499999,\n 35.88905007936091\n ],\n [\n -105.29296874999999,\n 34.161818161230386\n ],\n [\n -107.70996093749999,\n 34.161818161230386\n ],\n [\n -110.302734375,\n 35.53222622770337\n ],\n [\n -112.8955078125,\n 41.27780646738183\n ],\n [\n -116.806640625,\n 43.51668853502909\n ],\n [\n -117.90527343750001,\n 46.49839225859763\n ],\n [\n -118.125,\n 48.922499263758255\n ],\n [\n -117.90527343750001,\n 49.095452162534826\n ],\n [\n -112.8515625,\n 49.03786794532644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56825d29e4b0a04ef4925af5","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":583487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkelhammer, Max ","contributorId":150891,"corporation":false,"usgs":false,"family":"Berkelhammer","given":"Max ","affiliations":[{"id":18133,"text":"University of Illinois Chicago","active":true,"usgs":false}],"preferred":false,"id":583488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mast, M. 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GIWs constitute most of the wetlands in many North American landscapes, provide a disproportionately large fraction of wetland edges where many functions are enhanced, and form complexes with other water bodies to create spatial and temporal heterogeneity in the timing, flow paths, and magnitude of network connectivity. These attributes signal a critical role for GIWs in sustaining a portfolio of landscape functions, but legal protections remain weak despite preferential loss from many landscapes. GIWs lack persistent surface water connections, but this condition does not imply the absence of hydrological, biogeochemical, and biological exchanges with nearby and downstream waters. Although hydrological and biogeochemical connectivity is often episodic or slow (e.g., via groundwater), hydrologic continuity and limited evaporative solute enrichment suggest both flow generation and solute and sediment retention. Similarly, whereas biological connectivity usually requires overland dispersal, numerous organisms, including many rare or threatened species, use both GIWs and downstream waters at different times or life stages, suggesting that GIWs are critical elements of landscape habitat mosaics. Indeed, weaker hydrologic connectivity with downstream waters and constrained biological connectivity with other landscape elements are precisely what enhances some GIW functions and enables others. Based on analysis of wetland geography and synthesis of wetland functions, we argue that sustaining landscape functions requires conserving the entire continuum of wetland connectivity, including GIWs.
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We surveyed four altitudinal sites ranging from 1,200 to 2,200 m asl in the Kahuku Unit of Hawai‘i Volcanoes National Park (Kahuku) and three altitudinal sites ranging from 1,200 to 1,500 m asl in the Ka‘u Forest Reserve (Ka‘u) for the prevalence of avian disease and presence of mosquitoes. We collected blood samples from native and non-native forest birds and screened for avian malaria (Plasmodium relictum) using PCR diagnostics. We examined birds for signs of avian pox (Avipoxvirus sp.), knemidokoptic mange (Knemidokoptes jamaicensis) and feather ectoparasites. We also trapped adult mosquitoes (Culex quinquefasciatus and Aedes japonicus japonicus) and surveyed for available larval habitat. Between September, 2012 and October, 2014, we completed 3,219 hours of mist-netting in Kahuku capturing 515 forest birds and 3,103 hours of mist-netting in Ka‘u capturing 270 forest birds. We screened 750 blood samples for avian malaria. Prevalence of avian malaria in all species was higher in Ka‘u than Kahuku when all sites were combined for each tract. Prevalence of avian malaria in resident Hawai‘i ‘amakihi (Chlorodrepanis virens) was greatest at the lowest elevation sites in Kahuku (26%; 1,201 m asl) and Ka‘u (42%; 1,178 m asl) and in general, prevalence decreased with increasing elevation and geographically from east to west. Significantly higher prevalence was seen in Ka‘u at comparable low and mid elevation sites but not at comparable high elevation sites. The overall presumptive pox prevalence was 1.7% (13/785) for both tracts, and it was higher in native birds than non-native birds, but it was not significant. Presumptive knemidokoptic mange was detected at two sites in lower elevation Kahuku, with prevalence ranging from 2‒4%. The overall prevalence of ectoparasites (Analges and Proctophyllodes spp.) was 6.7% (53/785). The site with the highest prevalence was Lower Glover in Kahuku (7.2%; 10/138) and Maka‘alia in Ka‘u. In general, mosquito larval habitat was more prevalent at lower elevation sites than higher elevation sites within the Kahuku—Ka‘u landscape, and more prevalent in Ka‘u than Kahuku. We observed significantly more available larval mosquito habitat in total belt transect plots in Ka‘u than Kahuku for both hapu‘u cavities (Χ2 = 47.06, df = 1, p < 0.01) and other habitat types combined (i.e., ground pools, rock holes, tree holes) (Χ2 = 104.35, df = 1, p < 0.01). Mosquitoes were most abundant at low elevation Kahuku, but were captured at all sites up to 1,532 m asl in Kahuku. The malarial infection rate of live mosquitoes was 21% (39/186) at Kahuku and 25% (2/8) at Ka‘u. There were 19 times more larval habitats available in Ka‘u than Kahuku on survey transects, yet we captured 53 times more C. quinquefasciatus mosquitoes in Kahuku. We captured very few adult A. j. japonicus across the landscape (Ntotal = 6) and no Aedes albopictus were detected in this study. Larval surveys along ranch roads and infrastructure revealed that ground pools along rutted, overgrown ranch roads were the likely source of Kahuku mosquitoes. We did not find mosquito larvae associated with ranching infrastructure. Unlike the low elevation forests on windward Hawai‘i Island, avian malaria prevalence, mosquito abundance, and the density of available larval habitat in Kahuku and Ka‘u were relatively low. Although altitudinal variations in climate appear to be the primary factors limiting the distribution of avian disease, habitat type, avian movements, human activity, and feral pig (Sus scrofa) management all may play important roles in determining the prevalence of avian malaria across the Kahuku—Ka‘u landscape.
","language":"English","publisher":"University of Hawaii at Hilo","publisherLocation":"Hilo, HI","usgsCitation":"Gaudioso, J., Lapointe, D., Atkinson, C.T., and Egan, A.N., 2015, Avian disease and mosquito vectors in the Kahuku unit of Hawai`i Volcanoes National Park and Ka`u Forest Reserve: Technical Report HCSU-070, Report: iv, 41 p.","productDescription":"Report: iv, 41 p.","startPage":"1","endPage":"41","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071145","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad38e4b05e859bdfb845","contributors":{"authors":[{"text":"Gaudioso, Jacqueline jgaudioso@usgs.gov","contributorId":5637,"corporation":false,"usgs":true,"family":"Gaudioso","given":"Jacqueline","email":"jgaudioso@usgs.gov","affiliations":[{"id":524,"text":"Pacific Islands Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":583758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaPointe, Dennis A. 0000-0002-6323-263X dlapointe@usgs.gov","orcid":"https://orcid.org/0000-0002-6323-263X","contributorId":150365,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","middleInitial":"A.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":583759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":583760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egan, Ariel N.","contributorId":150954,"corporation":false,"usgs":false,"family":"Egan","given":"Ariel","email":"","middleInitial":"N.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":583761,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159764,"text":"ofr20151223 - 2015 - Water-quality, bed-sediment, and biological data (October 2013 through September 2014) and statistical summaries of data for streams in the Clark Fork Basin, Montana","interactions":[],"lastModifiedDate":"2015-12-28T10:21:29","indexId":"ofr20151223","displayToPublicDate":"2015-12-24T10:00:00","publicationYear":"2015","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":"2015-1223","title":"Water-quality, bed-sediment, and biological data (October 2013 through September 2014) and statistical summaries of data for streams in the Clark Fork Basin, Montana","docAbstract":"Water, bed sediment, and biota were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the upper Clark Fork Basin of western Montana. The sampling program was led by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin, with emphasis on trace elements associated with historic mining and smelting activities. Sampling sites were located on the Clark Fork and selected tributaries. Water samples were collected periodically at 20 sites from October 2013 through September 2014. Bed-sediment and biota samples were collected once at 14 sites during August 2014.
\nThis report presents the analytical results and qualityassurance data for water-quality, bed-sediment, and biota samples collected at sites from October 2013 through September 2014. Water-quality data include concentrations of selected major ions, trace elements, and suspended sediment. At 12 sites, dissolved organic carbon and turbidity samples were collected. In addition, nitrogen (nitrate plus nitrite) samples were collected at two sites. Daily values of mean suspended-sediment concentration and suspended-sediment discharge were determined for four sites. Seasonal daily values of turbidity were determined for four sites. Bed-sediment data include trace-element concentrations in the fine-grained fraction. Biological data include trace-element concentrations in wholebody tissue of aquatic benthic insects. Statistical summaries of water-quality, bed-sediment, and biological data for sites in the upper Clark Fork Basin are provided for the period of record.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151223","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Dodge, K.A., and Hornberger, M.I., 2015, Water-quality, bed-sediment, and biological data (October 2013 through September\n2014) and statistical summaries of data for streams in the Clark Fork Basin, Montana: U.S. Geological Survey Open-File Report 2015–1223, 125 p., https://dx.doi.org/10.3133/ofr20151223.","productDescription":"vi, 125 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068852","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":312826,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1223/ofr20151223.pdf","text":"Report","size":"2.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1223"},{"id":312825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1223/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin, Silver Bow Creek, Warm Springs Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0655517578125,\n 46.97275640318636\n ],\n [\n -113.0712890625,\n 46.81133924039194\n ],\n [\n -112.30224609374999,\n 46.3810438458062\n ],\n [\n -112.0550537109375,\n 46.02366774426006\n ],\n [\n -111.91223144531249,\n 45.75602615586017\n ],\n [\n -111.917724609375,\n 45.3868773482704\n ],\n [\n -112.071533203125,\n 45.182036837015886\n ],\n [\n -113.4283447265625,\n 45.90147732739488\n ],\n [\n -114.2962646484375,\n 46.543749602738565\n ],\n [\n -114.32922363281249,\n 46.991494313050424\n ],\n [\n -114.0655517578125,\n 46.97275640318636\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Ave.
Helena, MT 59601
http://wy-mt.water.usgs.gov/
Knowledge of the magnitude and frequency of low flows in streams, which are flows in a stream during prolonged dry weather, is fundamental for water-supply planning and design; waste-load allocation; reservoir storage design; and maintenance of water quality and quantity for irrigation, recreation, and wildlife conservation. This report presents the results of a statewide study for which regional regression equations were developed for estimating 13 flow-duration curve statistics and 10 low-flow frequency statistics at ungaged stream locations in Minnesota. The 13 flow-duration curve statistics estimated by regression equations include the 0.0001, 0.001, 0.02, 0.05, 0.1, 0.25, 0.50, 0.75, 0.9, 0.95, 0.99, 0.999, and 0.9999 exceedance-probability quantiles. The low-flow frequency statistics include annual and seasonal (spring, summer, fall, winter) 7-day mean low flows, seasonal 30-day mean low flows, and summer 122-day mean low flows for a recurrence interval of 10 years. Estimates of the 13 flow-duration curve statistics and the 10 low-flow frequency statistics are provided for 196 U.S. Geological Survey continuous-record streamgages using streamflow data collected through September 30, 2012.
\nThe study area includes 196 streamgages located within Minnesota and 50 miles beyond the State’s borders in North Dakota, South Dakota, Iowa, and Wisconsin. The study area was divided into five regions that were developed in a previous study using the concept of hydrologic landscape units. Geographic information system software was used to calculate 18 characteristics investigated as potential explanatory variables in regression analyses for each streamgage drainage basin. Trend analyses indicated statistically significant trends in summer 7-day low flows that were not related to precipitation patterns for 19 streamgages. For 16 of these streamgages, the streamflow record was subset using structural change analysis to identify the most recent period of record without a significant trend. The three remaining streamgages with significant trends were excluded from the final analysis because the effective period of record without a significant trend was less than 10 years.
\nBecause several streams in this study have zero flow as their minimum reported flow, weighted left-censored regression was used to analyze the flow data in an unbiased manner, with weights based on the number of years of record. A total of 115 regression equations were developed in this study to calculate flow-duration curve and low-flow frequency statistics for ungaged locations in the study area. In addition, data from 25 pairs of streamgages were used to develop drainage-area ratio equations that can be used to estimate streamflow statistics at ungaged locations on streams that have a streamgage in another location. Streamflow statistics estimated using regional regression and drainage-area ratio equations were compared among regions. For regions A, D, and E, drainagearea ratio equations were more accurate than regional regression equations for flows, but regional regression equations were more accurate for high flows. For region F, regional regression equations were consistently more accurate than drainage-area ratio equations. For region BC, the pattern in accuracies of regional regression and drainage-area ratio equations between low flows and high flows was not consistent.
\nEquations developed in this study apply only to stream locations where flows are not substantially affected by regulation, diversion, or urbanization. All equations presented in this study will be incorporated into StreamStats, a web-based geographic information system tool developed by the U.S. Geological Survey. StreamStats allows users to obtain streamflow statistics, basin characteristics, and other information for user-selected locations on streams through an interactive map.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155170","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Ziegeweid, J.R., Lorenz, D.L., Sanocki, C.A., and Czuba, C.R., 2015, Methods for estimating flow-duration curve and\nlow-flow frequency statistics for ungaged locations on small streams in Minnesota: U.S. Geological Survey Scientific\nInvestigations Report 2015–5170, 23 p., https://dx.doi.org/10.3133/sir20155170.","productDescription":"Report: vi, 23 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-046283","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":312848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5170/coverthb.jpg"},{"id":312849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5170/sir20155170.pdf","text":"Report","size":"2.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5170"},{"id":312850,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5170/downloads/sir20155170_table1-1.xlsx","text":"Table 1-1","size":"89.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5170 Appendix 1"}],"country":"United States","state":"Iowa, Minnesota, North Dakota, South Dakota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.27294921875,\n 49.023461463214126\n ],\n [\n -95.16357421875,\n 49.023461463214126\n ],\n [\n -95.16357421875,\n 49.439556958940855\n ],\n [\n -94.68017578125,\n 49.38237278700955\n ],\n [\n -94.54833984375,\n 49.081062364320736\n ],\n [\n -94.59228515625,\n 48.80686346108517\n ],\n [\n -94.28466796874999,\n 48.76343113791796\n ],\n [\n -93.8232421875,\n 48.69096039092549\n ],\n [\n -93.62548828125,\n 48.60385760823255\n ],\n [\n -93.3837890625,\n 48.67645370777654\n ],\n [\n -92.900390625,\n 48.73445537176822\n ],\n [\n -92.548828125,\n 48.61838518688487\n ],\n [\n -92.46093749999999,\n 48.472921272487824\n ],\n [\n -92.21923828124999,\n 48.4146186174932\n ],\n [\n -91.86767578124999,\n 48.31242790407178\n ],\n [\n -91.51611328125,\n 48.151428143221224\n ],\n [\n -91.14257812499999,\n 48.22467264956519\n ],\n [\n -90.76904296874999,\n 48.31242790407178\n ],\n [\n -90.63720703125,\n 48.22467264956519\n ],\n [\n -90.439453125,\n 48.180738507303836\n ],\n [\n -90.087890625,\n 48.19538740833338\n ],\n [\n -89.82421875,\n 48.09275716032736\n ],\n [\n -89.56054687499999,\n 48.019324184801185\n ],\n [\n -89.93408203124999,\n 47.84265762816538\n ],\n [\n -90.63720703125,\n 47.60616304386874\n ],\n [\n -91.12060546875,\n 47.32393057095941\n ],\n [\n -91.47216796875,\n 47.12995075666307\n ],\n [\n -91.845703125,\n 46.86019101567027\n ],\n [\n -91.82373046875,\n 46.800059446787316\n ],\n [\n -91.3623046875,\n 46.875213396722685\n ],\n [\n -90.72509765625,\n 47.14489748555398\n ],\n [\n -90.1318359375,\n 47.12995075666307\n ],\n [\n -89.8681640625,\n 47.040182144806664\n ],\n [\n -89.67041015625,\n 46.694667307773095\n ],\n [\n -89.8681640625,\n 46.27103747280261\n ],\n [\n -90.32958984375,\n 46.07323062540838\n ],\n [\n -90.90087890624999,\n 45.69083283645816\n ],\n [\n -91.14257812499999,\n 45.13555516012536\n ],\n [\n -91.1865234375,\n 44.54350521320822\n ],\n [\n -90.966796875,\n 44.008620115415354\n ],\n [\n -90.59326171875,\n 43.37311218382002\n ],\n [\n -90.46142578125,\n 42.98857645832184\n ],\n [\n -90.04394531249999,\n 42.68243539838623\n ],\n [\n -89.84619140625,\n 42.24478535602799\n ],\n [\n -90.68115234375,\n 42.04929263868686\n ],\n [\n -91.69189453125,\n 42.58544425738491\n ],\n [\n -92.04345703125,\n 43.197167282501276\n ],\n [\n -93.40576171875,\n 43.11702412135048\n ],\n [\n -95.361328125,\n 42.98857645832184\n ],\n [\n -96.39404296875,\n 42.87596410238254\n ],\n [\n -96.5478515625,\n 42.68243539838623\n ],\n [\n -97.03125,\n 42.956422511073335\n ],\n [\n -97.18505859374999,\n 43.992814500489914\n ],\n [\n -97.8662109375,\n 45.460130637921004\n ],\n [\n -97.88818359375,\n 46.36209301204985\n ],\n [\n -98.10791015625,\n 47.517200697839414\n ],\n [\n -98.15185546874999,\n 48.73445537176822\n ],\n [\n -97.80029296875,\n 48.936934954094035\n ],\n [\n -97.27294921875,\n 49.023461463214126\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Minnesota Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, Minnesota 55112
http://mn.water.usgs.gov/
Assessing the physical change to shorelines and wetlands is critical for determining the resiliency of wetland systems that protect adjacent habitat and communities. The wetland and back-barrier shorelines of the New Jersey barrier islands were changed by wave action and storm surge from Hurricane Sandy in 2012. The U.S. Geological Survey Coastal and Marine Geology Program is assessing the impact of Hurricane Sandy to understand its historical context and the vulnerability of wetland systems. These assessments require data that document physical changes over time, such as maps, aerial photographs, satellite imagery, and lidar elevation data.
\nThis Data Series Report includes open-ocean shorelines, back-island shorelines, back-island shoreline points, sand polygons, and sand lines for the undeveloped areas of New Jersey barrier islands. These data were extracted from orthoimagery (aerial photography) taken between March 9, 1991, and July 30, 2013. The images used were 0.3–1-meter (m)-resolution U.S. Geological Survey Digital Orthophoto Quarter Quads (DOQQ), U.S. Department of Agriculture National Agriculture Imagery Program (NAIP) images, National Oceanic and Atmospheric Administration images, and New Jersey Geographic Information Network images. The back-island shorelines were hand-digitized at the intersects of the apparent back-island shoreline and transects spaced at 20-m intervals. The open-ocean shorelines were hand-digitized at the approximate still-water level, such as tide level, which was fit through the average position of waves and swash apparent on the beach. Hand-digitizing was done at a scale of approximately 1:2,000. The sand polygons were derived by an image-processing unsupervised classification technique that separates images into classes. The classes were then visually categorized as either sand or not sand. Sand lines were taken from the sand polygons. Also included in this report are 20-m-spaced transect lines and the transect base lines.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds960","usgsCitation":"Guy, K.K., 2015, Back-Island and Open-Ocean Shorelines, and Sand Areas of the Undeveloped Areas of New Jersey Barrier Islands, March 9, 1991, to July 30, 2013. U.S. Geological Survey Data Series","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065228","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":311110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0960/coverthb.jpg"},{"id":311111,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0960","text":"Report (HTML)","description":"Data Series 960"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.04510498046875,\n 40.48455955508278\n ],\n [\n -73.99566650390625,\n 40.49709237269567\n ],\n [\n -73.95172119140624,\n 40.40931350359072\n ],\n [\n -74.00115966796875,\n 40.40303919701655\n ],\n [\n -74.04510498046875,\n 40.48455955508278\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.11651611328125,\n 39.926588421909436\n ],\n [\n -74.03961181640625,\n 39.920269337634004\n ],\n [\n -74.0753173828125,\n 39.75154536393759\n ],\n [\n -74.1632080078125,\n 39.76632525654491\n ],\n [\n -74.11651611328125,\n 39.926588421909436\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.22637939453125,\n 39.5146359327835\n ],\n [\n -74.29229736328125,\n 39.552765371831015\n ],\n [\n -74.41864013671875,\n 39.444677580473424\n ],\n [\n -74.31976318359375,\n 39.39375459224348\n ],\n [\n -74.22637939453125,\n 39.5146359327835\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.69879150390625,\n 39.172658670429946\n ],\n [\n -74.66033935546875,\n 39.15136267949032\n ],\n [\n -74.59716796875,\n 39.24288969082635\n ],\n [\n -74.62738037109375,\n 39.264157950942185\n ],\n [\n -74.69879150390625,\n 39.172658670429946\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.8114013671875,\n 39.031986028740086\n ],\n [\n -74.783935546875,\n 39.01064750994083\n ],\n [\n -74.7564697265625,\n 39.036252959636606\n ],\n [\n -74.77844238281249,\n 39.0533181067413\n ],\n [\n -74.8114013671875,\n 39.031986028740086\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.915771484375,\n 38.94659331893374\n ],\n [\n -74.90478515625,\n 38.91881851059804\n ],\n [\n -74.81689453125,\n 38.950865400919994\n ],\n [\n -74.83612060546875,\n 38.97862765746913\n ],\n [\n -74.915771484375,\n 38.94659331893374\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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Identifying plant taxa that honey bees (Apis mellifera) forage upon is of great apicultural interest, but traditional methods are labor intensive and may lack resolution. Here we evaluate a high-throughput genetic barcoding approach to characterize trap-collected pollen from multiple North Dakota apiaries across multiple years. We used the Illumina MiSeq platform to generate sequence scaffolds from non-overlapping 300-bp paired-end sequencing reads of the ribosomal internal transcribed spacers (ITS). Full-length sequence scaffolds represented ~530 bp of ITS sequence after adapter trimming, drawn from the 5’ of ITS1 and the 3’ of ITS2, while skipping the uninformative 5.8S region. Operational taxonomic units (OTUs) were picked from scaffolds clustered at 97% identity, searched by BLAST against the nt database, and given taxonomic assignments using the paired-read lowest common ancestor approach. Taxonomic assignments and quantitative patterns were consistent with known plant distributions, phenology, and observational reports of pollen foraging, but revealed an unexpected contribution from non-crop graminoids and wetland plants. The mean number of plant species assignments per sample was 23.0 (+/- 5.5) and the mean species diversity (effective number of equally abundant species) was 3.3 (+/- 1.2). Bray-Curtis similarities showed good agreement among samples from the same apiary and sampling date. Rarefaction plots indicated that fewer than 50,000 reads are typically needed to characterize pollen samples of this complexity. Our results show that a pre-compiled, curated reference database is not essential for genus-level assignments, but species-level assignments are hindered by database gaps, reference length variation, and probable errors in the taxonomic assignment, requiring post-hoc evaluation. Although the effective per-sample yield achieved using custom MiSeq amplicon primers was less than the machine maximum, primarily due to lower “read2” quality, further protocol optimization and/or a modest reduction in multiplex scale should offset this difficulty. As small quantities of pollen are sufficient for amplification, our approach might be extendable to other questions or species for which large pollen samples are not available.
","language":"English","publisher":"PLoS","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0145365","usgsCitation":"Cornman, R.S., Otto, C., Iwanowicz, D.D., and Pettis, J.S., 2015, Taxonomic characterization of honey bee (Apis mellifera) pollen foraging based on non-overlapping paired-end sequencing of nuclear ribosomal loci: PLoS ONE, v. 10, no. 12, p. 1-26, https://doi.org/10.1371/journal.pone.0145365.","productDescription":"26 p.","startPage":"1","endPage":"26","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-067288","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471557,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0145365","text":"Publisher Index Page"},{"id":313041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.96484375,\n 46.84704298339389\n ],\n [\n -98.96484375,\n 47.44852243794931\n ],\n [\n -97.83599853515625,\n 47.44852243794931\n ],\n [\n -97.83599853515625,\n 46.84704298339389\n ],\n [\n -98.96484375,\n 46.84704298339389\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-23","publicationStatus":"PW","scienceBaseUri":"56850061e4b0a04ef4933751","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":583636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":583637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":583638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pettis, Jeffery S","contributorId":150913,"corporation":false,"usgs":false,"family":"Pettis","given":"Jeffery","email":"","middleInitial":"S","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":583639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159801,"text":"ds973 - 2015 - Chemical concentrations and instantaneous loads, Green River to the Lower Duwamish Waterway near Seattle, Washington, 2013–15","interactions":[],"lastModifiedDate":"2015-12-28T12:34:29","indexId":"ds973","displayToPublicDate":"2015-12-23T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"973","title":"Chemical concentrations and instantaneous loads, Green River to the Lower Duwamish Waterway near Seattle, Washington, 2013–15","docAbstract":"In November 2013, U.S. Geological Survey streamgaging equipment was installed at a historical water-quality station on the Duwamish River, Washington, within the tidal influence at river kilometer 16.7 (U.S. Geological Survey site 12113390; Duwamish River at Golf Course at Tukwila, WA). Publicly available, real-time continuous data includes river streamflow, stream velocity, and turbidity. Between November 2013 and March 2015, the U.S. Geological Survey collected representative samples of water, suspended sediment, or bed sediment from the streamgaging station during 28 periods of differing flow conditions. Samples were analyzed by Washington-State-accredited laboratories for a large suite of compounds, including metals, dioxins/furans, semivolatile compounds including polycyclic aromatic hydrocarbons, pesticides, butytins, polychlorinated biphenyl (PCB) Aroclors and the 209 PCB congeners, volatile organic compounds, hexavalent chromium, and total and dissolved organic carbon. Metals, PCB congeners, and dioxins/furans were frequently detected in unfiltered-water samples, and concentrations typically increased with increasing suspended-sediment concentrations. Chemical concentrations in suspendedsediment samples were variable between sampling periods. The highest concentrations of many chemicals in suspended sediment were measured during summer and early autumn storm periods.
\nMedian chemical concentrations in suspended-sediment samples were greater than median chemical concentrations in fine bed sediment (less than 62.5 µm) samples, which were greater than median chemical concentrations in paired bulk bed sediment (less than 2 mm) samples. Suspended-sediment concentration, sediment particle-size distribution, and general water-quality parameters were measured concurrent with the chemistry sampling. From this discrete data, combined with the continuous streamflow record, estimates of instantaneous sediment and chemical loads from the Green River to the Lower Duwamish Waterway were calculated. For most compounds, loads were higher during storms than during baseline conditions because of high streamflow and high chemical concentrations. The highest loads occurred during dam releases (periods when stored runoff from a prior storm is released from the Howard Hanson Dam into the upper Green River) because of the high river streamflow and high suspended-sediment concentration, even when chemical concentrations were lower than concentrations measured during storm events.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds973","collaboration":"Prepared in cooperation with the Washington State Department of Ecology","usgsCitation":"Conn, K.E., Black, R.W., Vanderpool-Kimura, A.M., Foreman, J.R., Peterson, N.T., Senter, C.A., and Sissel, S.K., 2015, Chemical concentrations and instantaneous loads, Green River to the Lower Duwamish Waterway near Seattle, Washington, 2013–15: U.S. Geological Survey Data Series 973, 46 p., https://dx.doi.org/10.3133/ds973.","productDescription":"Report: vii, 46 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065963","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":312810,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0973/ds973.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 973 PDF"},{"id":312811,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0973/coverthb.jpg"},{"id":312812,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0973/ds973_appendixa.xlsx","text":"Appendix A","size":"846 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 973 Appendix A XLSX"}],"country":"United States","state":"Washington","otherGeospatial":"Green River, Lower Duwamish Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4,\n 47.4\n ],\n [\n -122.4,\n 47.6\n ],\n [\n -122.2,\n 47.6\n ],\n [\n -122.2,\n 47.4\n ],\n [\n -122.4,\n 47.4\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
The conodont species Caenodontus serrulatus Behnken is a rare coniform element first described in 1975 from Guadalupian strata exposed in the Guadalupe and Delaware Mountains of West Texas. Because it is rare, coniform, and occurs long after most coniform elements supposedly disappeared, it has been hauntingly mysterious. Based on new material containing a varied assemblage of coniform elements recovered from an outcrop of the Hegler Limestone (Guadalupian) in the Patterson Hills, West Texas, it is proposed that Caenodontusis comprised of a 6-7 membrate coniform apparatus and that this apparatus is very similar to the one proposed for the genus Ansella from the Ordovician.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Nestell, M.K., and Wardlaw, B.R., 2015, An apparatus reconstruction of the conodont Caenodontus serrulatus Behnken 1975: Micropaleontology, v. v. 61, no. no 4 - 5, p. 293-300.","productDescription":"7 p.","startPage":"293","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071098","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":325706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325705,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org.ezproxy.library.wisc.edu/microaccess/micropaleontology"}],"country":"United States","state":"Texas","otherGeospatial":"Guadalupe Mountains National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.95582580566406,\n 31.997012406423654\n ],\n [\n -104.95719909667969,\n 31.98187064456415\n ],\n [\n -104.95719909667969,\n 31.974881296156596\n ],\n [\n -104.95994567871094,\n 31.970803930433096\n ],\n [\n -104.96131896972656,\n 31.959153316146658\n ],\n [\n -105.00251770019531,\n 31.956240431596452\n ],\n [\n -105.01350402832031,\n 31.955657843600374\n ],\n [\n -105.01350402832031,\n 31.946918580249633\n ],\n [\n -105.02792358398436,\n 31.944587969619008\n ],\n [\n -105.03067016601562,\n 31.893299584369487\n ],\n [\n -105.02792358398436,\n 31.875808372704054\n ],\n [\n -105.00595092773438,\n 31.868227816180674\n ],\n [\n -104.99977111816406,\n 31.87056036152958\n ],\n [\n -104.9908447265625,\n 31.85598098460412\n ],\n [\n -104.95788574218749,\n 31.853648070322752\n ],\n [\n -104.95101928710938,\n 31.87172661206501\n ],\n [\n -104.93453979492186,\n 31.868810958052563\n ],\n [\n -104.92973327636719,\n 31.85073184447357\n ],\n [\n -104.92218017578125,\n 31.828565514766165\n ],\n [\n -104.92424011230469,\n 31.808144448024276\n ],\n [\n -104.87136840820312,\n 31.798807599289702\n ],\n [\n -104.83360290527342,\n 31.81572994283835\n ],\n [\n -104.8370361328125,\n 31.85073184447357\n ],\n [\n -104.82536315917967,\n 31.86064663609563\n ],\n [\n -104.80957031249999,\n 31.876974556818304\n ],\n [\n -104.79583740234375,\n 31.88105608497267\n ],\n [\n -104.77935791015625,\n 31.886886525780806\n ],\n [\n -104.75875854492188,\n 31.904375633517787\n ],\n [\n -104.76493835449219,\n 31.92885480180959\n ],\n [\n -104.76356506347655,\n 31.943422642136195\n ],\n [\n -104.73541259765625,\n 31.951579624162896\n ],\n [\n -104.72442626953124,\n 31.974298826428072\n ],\n [\n -104.72511291503906,\n 31.992353668990656\n ],\n [\n -104.72648620605469,\n 31.99992399713997\n ],\n [\n -104.95582580566406,\n 31.997012406423654\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"v. 61","issue":"no 4 - 5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5799db32e4b0589fa1c7e693","contributors":{"authors":[{"text":"Nestell, Merlynd K.","contributorId":68603,"corporation":false,"usgs":false,"family":"Nestell","given":"Merlynd","email":"","middleInitial":"K.","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":643492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":643491,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159534,"text":"sir20155155 - 2015 - Hydrogeology of the Owego-Apalachin Elementary School geothermal fields, Tioga County, New York","interactions":[],"lastModifiedDate":"2019-12-30T14:39:20","indexId":"sir20155155","displayToPublicDate":"2015-12-22T16:00:00","publicationYear":"2015","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":"2015-5155","title":"Hydrogeology of the Owego-Apalachin Elementary School geothermal fields, Tioga County, New York","docAbstract":"The hydrogeology of the Owego-Apalachin Elementary School geothermal fields, which penetrate saline water and methane in fractured upper Devonian age bedrock in the Owego Creek valley, south-central New York, was characterized through the analysis of drilling and geophysical logs, water-level monitoring data, and specific-depth water samples. Hydrogeologic insights gained during the study proved beneficial for the design of the geothermal drilling program and protection of the overlying aquifer during construction, and may be useful for the development of future geothermal fields and other energy-related activities, such as drilling for oil and natural gas in similar fractured-bedrock settings.
\nThe southwest geothermal field consists of 204 closed-loop wells that penetrate a major saline water-bearing zone associated with bedding-plane fractures near the middle of an interbedded sandstone and shale interval at depths of 238 to 263 feet below land surface (ft bls). The northeast geothermal field consists of 80 closed-loop wells that penetrate a major saline water-bearing zone associated with bedding-plane fractures near the base of the interbedded sandstone and shale interval at depths of 303 to 323 ft bls.
\nTransmissivity estimates for the major saline water-bearing fractured zones range from 735 to 3,400 feet squared per day. The saline water-bearing zone in the southwest field is hydraulically connected over a horizontal distance of at least 350 feet. The hydraulic connection between subhorizontal, stacked bedding-plane fractures is limited by the number and transmissivity of interspersed higher angle fractures; locally, greater stratigraphic separation results in reduced connectivity to a greater degree than does horizontal distance.
\nThe specific conductance of the saline water from the shallower fractured zone in the southwest field was about 16,000 microsiemens per centimeter at 25 degrees Celsius (μS/cm at 25°C), and that from the fractured zone in the northeast field was about 65,000 μS/cm at 25°C. The saline waters were characterized by a chemical composition similar to that of deep formation brines collected from oil and gas wells in the Appalachian Basin. About 40 percent of the geothermal wells discharged methane gas to land surface during and (or) following drilling. Sandstone beds at depths of 348 to 378 ft bls are the likely source of the methane gas, which was determined to be early thermogenic in origin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155155","usgsCitation":"Williams, J.H., and Kappel, W.M., 2015, Hydrogeology of the Owego-Apalachin Elementary School geothermal fields, Tioga County, New York: U.S. Geological Survey Scientific Investigations Report 2015–5155, 29 p., https://dx.doi.org/10.3133/sir20155155.","productDescription":"Report: vii, 29 p.; 4 Appendixes","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066669","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":312655,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155_appendix02.xlsx","text":"Appendix 2","size":"23 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5155","linkHelpText":"Location, construction, and hydrogeologic information for selected boreholes and wells"},{"id":312729,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155_appendix01.m4v","text":"Appendix 1 (Low Resolution)","size":"5.12 MB","description":"SIR 2015-5155","linkHelpText":"Video of local news report about methane fire during drilling of borehole A9"},{"id":312730,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155_appendix04.m4v","text":"Appendix 4 (Low Resolution)","size":"35.6 MB","description":"SIR 2015-5155","linkHelpText":"Video of unloading of methane gas and water from borehole A12"},{"id":312654,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155_appendix01.mp4","text":"Appendix 1 (High Resolution)","size":"10.2 MB","description":"SIR 2015-5155","linkHelpText":"Video of local news report about methane fire during drilling of borehole A9"},{"id":312657,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155_appendix04.mp4","text":"Appendix 4 (High Resolution)","size":"49.8 MB","description":"SIR 2015-5155","linkHelpText":"Video of unloading of methane gas and water from borehole A12"},{"id":312652,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155.pdf","text":"Report","size":"7.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5155"},{"id":312651,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5155/images/coverthb.jpg"},{"id":312656,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5155/sir20155155_appendix03.xlsx","text":"Appendix 3","size":"15 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5155","linkHelpText":"Field and laboratory chemical analyses from boreholes A9 and Q1"}],"country":"United States","state":"New York","county":"Tioga County","city":"Owego","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.1258,42.4107],[-76.123,42.3825],[-76.1267,42.382],[-76.1247,42.3652],[-76.1173,42.3653],[-76.1172,42.3576],[-76.1129,42.3571],[-76.1122,42.348],[-76.1084,42.3476],[-76.1071,42.3376],[-76.1195,42.3375],[-76.1194,42.3275],[-76.1139,42.3276],[-76.1144,42.3185],[-76.1069,42.3181],[-76.1069,42.3094],[-76.1025,42.309],[-76.1031,42.3026],[-76.0981,42.3022],[-76.0993,42.2927],[-76.1073,42.2931],[-76.1079,42.2876],[-76.1017,42.2877],[-76.1023,42.2808],[-76.088,42.2804],[-76.0892,42.275],[-76.0842,42.2746],[-76.0842,42.2664],[-76.0798,42.2659],[-76.0791,42.2587],[-76.0965,42.2595],[-76.0964,42.25],[-76.0909,42.25],[-76.0921,42.2459],[-76.0859,42.2459],[-76.0858,42.2414],[-76.092,42.2414],[-76.0913,42.2337],[-76.0845,42.2341],[-76.0857,42.2282],[-76.082,42.2273],[-76.0801,42.2183],[-76.0862,42.2178],[-76.085,42.2119],[-76.0912,42.2123],[-76.0899,42.2064],[-76.083,42.2069],[-76.0823,42.1928],[-76.0885,42.1928],[-76.0885,42.1869],[-76.1151,42.1858],[-76.1123,42.1509],[-76.106,41.9991],[-76.1165,41.9992],[-76.1467,41.9991],[-76.3826,41.9989],[-76.466,41.9999],[-76.5229,42.0005],[-76.5531,42.0008],[-76.5618,42.0009],[-76.5675,42.0121],[-76.5632,42.0153],[-76.544,42.0536],[-76.5538,42.0885],[-76.5581,42.1239],[-76.5594,42.1312],[-76.5539,42.1312],[-76.5597,42.1507],[-76.5598,42.1557],[-76.5344,42.1568],[-76.5377,42.2504],[-76.5382,42.2817],[-76.4731,42.2808],[-76.4734,42.2631],[-76.417,42.2631],[-76.4153,42.3194],[-76.3507,42.3181],[-76.35,42.3085],[-76.2898,42.308],[-76.2891,42.2962],[-76.25,42.2964],[-76.2514,42.3073],[-76.2497,42.3241],[-76.2473,42.336],[-76.2425,42.3446],[-76.2382,42.3542],[-76.2402,42.3624],[-76.2433,42.3664],[-76.2764,42.3794],[-76.2944,42.3816],[-76.2957,42.3866],[-76.2947,42.4075],[-76.2549,42.4082],[-76.1258,42.4107]]]},\"properties\":{\"name\":\"Tioga\",\"state\":\"NY\"}}]}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Federal agencies that oversee land management for much of the Snake Range in eastern Nevada, including the management of Great Basin National Park by the National Park Service, need to understand the potential extent of adverse effects to federally managed lands from nearby groundwater development. As a result, this study was developed (1) to attain a better understanding of aquifers controlling groundwater flow on the eastern side of the southern part of the Snake Range and their connection with aquifers in the valleys, (2) to evaluate the relation between surface water and groundwater along the piedmont slopes, (3) to evaluate sources for Big Springs and Rowland Spring, and (4) to assess groundwater flow from southern Spring Valley into northern Hamlin Valley. The study focused on two areas—the first, a northern area along the east side of Great Basin National Park that included Baker, Lehman, and Snake Creeks, and a second southern area that is the potential source area for Big Springs. Data collected specifically for this study included the following: (1) geologic field mapping; (2) drilling, testing, and water quality sampling from 7 test wells; (3) measuring discharge and water chemistry of selected creeks and springs; (4) measuring streambed hydraulic gradients and seepage rates from 18 shallow piezometers installed into the creeks; and (5) monitoring stream temperature along selected reaches to identify places of groundwater inflow.
\nThe Snake Range was formed by a generally normal-faulted uplift, where late Proterozoic and Cambrian siliciclastic rocks and metamorphic rocks are present at the highest altitudes and younger Paleozoic carbonate rocks are exposed along the flanks. The consolidated rocks are intruded by Jurassic to Tertiary age plutons, which are most common between the Lehman and Snake Creek drainage basins. Older Cenozoic rocks, including Oligocene volcanic rocks and Miocene sedimentary rocks, crop out locally and fill the basins that underlie Snake, Spring, and Hamlin Valleys. Younger Tertiary and Quaternary sedimentary (basin-fill) deposits overlie the older Cenozoic rocks.
\nThe rocks and deposits can be divided into three distinct aquifers. These aquifers include (1) basin-fill aquifers that consist of the permeable parts of the Cenozoic basin fill and some fractured or jointed Cenozoic volcanic rocks, (2) an upper carbonate-rock aquifer that consists of upper Paleozoic carbonate rocks overlying a regionally extensive middle Paleozoic siliciclastic confining unit, and (3) a lower carbonate-rock aquifer that consists of lower Paleozoic carbonate rocks. Secondary openings created by faults, shear zones, fractures, and, in the carbonate rocks, karst solution features, largely determine the water-transmitting properties of the volcanic- and carbonate-rock aquifers. The basin-fill aquifers are composed of a wide variety of rock types and have highly variable hydraulic properties. The three aquifers are stratigraphically and structurally heterogeneous, causing large variations in the ability to store and transmit water. The aquifers are separated by confining units in some areas and are in contact with each other in other areas, yet function as a single, composite aquifer system. Basin-fill aquifers most often overlie or adjoin the lower and upper carbonate-rock aquifers.
\nBaker, Lehman and Snake Creek drainage basins were divided into five hydrologic zones on the basis of climate, geology, and topography. The five zones, from highest to lowest altitudes, are the mountain-upland, karst-limestone, upper-piedmont, lower-piedmont, and valley-lowland zones. The primary hydrologic connection between the mountain-upland and the valley-lowland zones is streamflow. Much of the streamflow from the mountain-upland zone is generated above tree line.
\nGroundwater flow increases in the karst-limestone zone because of increased permeability caused by dissolution, which results in increased streamflow losses. Most of the increased groundwater flow is to springs near faults that form the boundary with the upper-piedmont zone. Thus, groundwater flow from the karst-limestone zone to the upper-piedmont zone was only 10 percent of the combined flow of streams and springs that exit the karst-limestone zone. About 60 percent of the water flowing from Rowland Spring in the Lehman Creek drainage basin was from streamflow losses along Baker Creek. The remaining flow from Rowland Spring comes from local recharge in the karst-limestone zone.
\nIn the upper-piedmont zone, the water table by Baker, Lehman and Snake Creeks was near the water level in the creeks for several hundred feet downstream from the karst-limestone zone. Water levels in piezometers along Snake Creek downstream from its confluence with Spring Creek were far below the streambed, indicating gravity drainage beneath this section of the creek. Estimated vertical hydraulic conductivity along a 3-mile reach of Snake Creek downstream of this confluence was 0.5 foot per day, which was an order of magnitude less than that estimated for Baker and Lehman Creeks. The low vertical hydraulic conductivity in the streambed along the lower reaches of Snake Creek results from chemical precipitation of calcite caused by off-gassing of carbon dioxide derived from springs at the end of the karst-limestone zone.
\nThe younger alluvial deposits thicken rapidly across faults that form the upper boundary of the lower-piedmont zone. The absence of springs or groundwater flow to the creeks upstream of these faults indicates they are not a complete barrier to groundwater flow. The water table was shallow in the valley-lowland zone in the Baker and Lehman Creek drainage basins, whereas the water table was more than 50 feet below land surface in the Snake Creek drainage basin. In contrast to thick basin fill in the valley-lowland zone in the Baker and Lehman Creek drainage basins, fractured and karst limestone underlie basin fill at relatively shallow depths in Snake Creek drainage basin. The underlying limestone acts as a drain for groundwater in the basin fill beneath Snake Creek.
\nA groundwater divide in southern Spring Valley south of Baking Powder Flat separates groundwater flow to the flat from southeastward flow into northern Hamlin Valley. Groundwater flow from southern Spring Valley south of the groundwater divide into northern Hamlin Valley was estimated to range from 6,000 to 11,000 acre-feet per year. This groundwater does not flow to Big Springs in southern Snake Valley; rather, the source of water to Big Springs is groundwater recharge in the Big Spring Wash drainage basin and in nearby smaller drainage basins at the south end of the Snake Range.
\nGroundwater flow from southern Spring Valley continues through the western side of Hamlin Valley before being directed northeast toward the south end of Snake Valley. This flow is constrained by southward-flowing groundwater from Big Spring Wash and northward-flowing groundwater beneath central Hamlin Valley. The redirection to the northeast corresponds to a narrowing of the width of flow in southern Snake Valley caused by a constriction formed by a steeply dipping middle Paleozoic siliciclastic confining unit exposed in the flanks of the mountains and hills on the east side of southern Snake Valley and shallowly buried beneath basin fill in the valley. The narrowing of groundwater flow could be responsible for the large area where groundwater flows to springs or is lost to evapotranspiration between Big Springs in Nevada and Pruess Lake in Utah.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1819","collaboration":"Prepared in cooperation with the National Park Service, Bureau of Land Management, U.S. Fish and Wildlife Service, and U.S. Forest Service","usgsCitation":"Prudic, D.E, Sweetkind, D.S., Jackson, T.R., Dotson, K.E., Plume, R.W., Hatch, C.E., and Halford, K.J. 2015, Evaluating connection of aquifers to springs and streams, Great Basin National Park and vicinity, Nevada: U.S. Geological Survey Professional Paper 1819, 188 p., https://dx.doi.org/10.3133/pp1819.","productDescription":"Report: xxii, 187 p.; Appendixes 1-16","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-034324","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":312322,"rank":16,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1819/pp1819_appendix14.zip","text":"Appendix 14","size":"4.3 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http://nevada.usgs.gov/water/