{"pageNumber":"706","pageRowStart":"17625","pageSize":"25","recordCount":46883,"records":[{"id":70035650,"text":"70035650 - 2011 - An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan","interactions":[],"lastModifiedDate":"2021-08-23T16:24:38.902248","indexId":"70035650","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan","docAbstract":"<p><span>The Haji-Gak iron deposit of eastern Bamyan Province, eastern Afghanistan, was studied extensively and resource calculations were made in the 1960s by Afghan and Russian geologists. Recalculation of the resource estimates verifies the original estimates for categories A (in-place resources known in detail), B (in-place resources known in moderate detail), and C</span><sub>1</sub><span>&nbsp;(in-place resources estimated on sparse data), totaling 110.8&nbsp;Mt, or about 6% of the resources as being supportable for the methods used in the 1960s. C</span><sub>2</sub><span>&nbsp;(based on a loose exploration grid with little data) resources are based on one ore grade from one drill hole, and P</span><sub>2</sub><span>&nbsp;(prognosis) resources are based on field observations, field measurements, and an ore grade derived from averaging grades from three better sampled ore bodies. C</span><sub>2</sub><span>&nbsp;and P</span><sub>2</sub><span>&nbsp;resources are 1,659.1&nbsp;Mt or about 94% of the total resources in the deposit. The vast P</span><sub>2</sub><span>&nbsp;resources have not been drilled or sampled to confirm their extent or quality. The purpose of this article is to independently evaluate the resources of the Haji-Gak iron deposit by using the available geologic and mineral resource information including geologic maps and cross sections, sampling data, and the analog-estimating techniques of the 1960s to determine the size and tenor of the deposit.</span></p>","largerWorkTitle":"Natural Resources Research","language":"English","publisher":"Springer Link","doi":"10.1007/s11053-011-9154-0","issn":"15207439","usgsCitation":"Sutphin, D., Renaud, K., and Drew, L., 2011, An Analysis of the Published Mineral Resource Estimates of the Haji-Gak Iron Deposit, Afghanistan: Natural Resources Research, v. 20, no. 4, p. 329-353, https://doi.org/10.1007/s11053-011-9154-0.","productDescription":"25 p.","startPage":"329","endPage":"353","costCenters":[],"links":[{"id":244266,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216399,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-011-9154-0"}],"country":"Afghanistan","otherGeospatial":"Haji-Gak iron deposit in Eastern Afghanistan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              67.91748046874999,\n              34.00713506435885\n            ],\n            [\n              69.3511962890625,\n              34.00713506435885\n            ],\n            [\n              69.3511962890625,\n              35.250105158539355\n            ],\n            [\n              67.91748046874999,\n              35.250105158539355\n            ],\n            [\n              67.91748046874999,\n              34.00713506435885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-10-18","publicationStatus":"PW","scienceBaseUri":"5059e9d0e4b0c8380cd48491","contributors":{"authors":[{"text":"Sutphin, David M.","contributorId":53769,"corporation":false,"usgs":true,"family":"Sutphin","given":"David M.","affiliations":[],"preferred":false,"id":451625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Renaud, Karine krenaud@usgs.gov","contributorId":195405,"corporation":false,"usgs":true,"family":"Renaud","given":"Karine","email":"krenaud@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":451626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drew, Lawrence J. ldrew@usgs.gov","contributorId":190730,"corporation":false,"usgs":true,"family":"Drew","given":"Lawrence J.","email":"ldrew@usgs.gov","affiliations":[],"preferred":false,"id":451627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035649,"text":"70035649 - 2011 - Effects of reduction in porosity and permeability with depth on storage capacity and injectivity in deep saline aquifers: A case study from the Mount Simon Sandstone aquifer","interactions":[],"lastModifiedDate":"2021-02-17T21:12:22.416992","indexId":"70035649","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Effects of reduction in porosity and permeability with depth on storage capacity and injectivity in deep saline aquifers: A case study from the Mount Simon Sandstone aquifer","docAbstract":"<p><span>The Upper Cambrian Mount Simon Sandstone is recognized as a deep saline reservoir that has significant potential for geological sequestration in the Midwestern region of the United States. Porosity and permeability values collected from core analyses in rocks from this formation and its lateral equivalents in Indiana, Kentucky, Michigan, and Ohio indicate a predictable relationship with depth owing to a reduction in the pore structure due to the effects of compaction and/or cementation, primarily as quartz overgrowths. The regional trend of decreasing porosity with depth is described by the equation:&nbsp;</span><i>ϕ</i><span>(</span><i>d</i><span>)</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>16.36</span><span>&nbsp;</span><span>×</span><span>&nbsp;</span><i>e</i><sup>−0.00039*<i>d</i></sup><span>, where&nbsp;</span><i>ϕ</i><span>&nbsp;is the porosity and&nbsp;</span><i>d</i><span>&nbsp;is the depth in m. The decrease of porosity with depth generally holds true on a basinwide scale. Bearing in mind local variations in lithologic and petrophysical character within the Mount Simon Sandstone, the source data that were used to predict porosity were utilized to estimate the pore volume available within the reservoir that could potentially serve as storage space for injected CO</span><sub>2</sub><span>. The potential storage capacity estimated for the Mount Simon Sandstone in the study area, using efficiency factors of 1%, 5%, 10%, and 15%, is 23,680, 118,418, 236,832, and 355,242 million metric tons of CO</span><sub>2</sub><span>, respectively.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2010.03.001","issn":"17505836","usgsCitation":"Medina, C., Rupp, J., and Barnes, D., 2011, Effects of reduction in porosity and permeability with depth on storage capacity and injectivity in deep saline aquifers: A case study from the Mount Simon Sandstone aquifer: International Journal of Greenhouse Gas Control, v. 5, no. 1, p. 146-156, https://doi.org/10.1016/j.ijggc.2010.03.001.","productDescription":"11 p.","startPage":"146","endPage":"156","costCenters":[],"links":[{"id":488083,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1039694","text":"External 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C.R.","contributorId":58857,"corporation":false,"usgs":true,"family":"Medina","given":"C.R.","email":"","affiliations":[],"preferred":false,"id":451624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rupp, J.A.","contributorId":30596,"corporation":false,"usgs":true,"family":"Rupp","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":451622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, D.A.","contributorId":34786,"corporation":false,"usgs":true,"family":"Barnes","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":451623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035647,"text":"70035647 - 2011 - Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS","interactions":[],"lastModifiedDate":"2021-02-17T21:17:55.08143","indexId":"70035647","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2034,"text":"International Journal of Coal Preparation and Utilization","active":true,"publicationSubtype":{"id":10}},"title":"Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS","docAbstract":"<p><span>The relationship between maceral content plus mineral matter and gross calorific value (GCV) for a wide range of West Virginia coal samples (from 6518 to 15330 BTU/lb; 15.16 to 35.66&nbsp;MJ/kg) has been investigated by multivariable regression and adaptive neuro-fuzzy inference system (ANFIS). The stepwise least square mathematical method comparison between liptinite, vitrinite, plus mineral matter as input data sets with measured GCV reported a nonlinear correlation coefficient (</span><i>R</i><span>&nbsp;</span><sup>2</sup><span>) of 0.83. Using the same data set the correlation between the predicted GCV from the ANFIS model and the actual GCV reported a&nbsp;</span><i>R</i><span>&nbsp;</span><sup>2</sup><span>&nbsp;value of 0.96. It was determined that the GCV-based prediction methods, as used in this article, can provide a reasonable estimation of GCV.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/19392699.2010.527876","issn":"19392699","usgsCitation":"Chelgani, S., Hart, B., Grady, W., and Hower, J., 2011, Study relationship between inorganic and organic coal analysis with gross calorific value by multiple regression and ANFIS: International Journal of Coal Preparation and Utilization, v. 31, no. 1, p. 9-19, https://doi.org/10.1080/19392699.2010.527876.","productDescription":"11 p.","startPage":"9","endPage":"19","costCenters":[],"links":[{"id":244236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216372,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/19392699.2010.527876"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505b9ce2e4b08c986b31d500","contributors":{"authors":[{"text":"Chelgani, S.C.","contributorId":54035,"corporation":false,"usgs":true,"family":"Chelgani","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":451617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, B.","contributorId":18201,"corporation":false,"usgs":true,"family":"Hart","given":"B.","email":"","affiliations":[],"preferred":false,"id":451616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grady, W.C.","contributorId":104223,"corporation":false,"usgs":true,"family":"Grady","given":"W.C.","email":"","affiliations":[],"preferred":false,"id":451619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hower, J.C.","contributorId":100541,"corporation":false,"usgs":true,"family":"Hower","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":451618,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035621,"text":"70035621 - 2011 - Innate immune response development in nestling tree swallows","interactions":[],"lastModifiedDate":"2021-02-17T21:29:33.666168","indexId":"70035621","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Innate immune response development in nestling tree swallows","docAbstract":"<p><span>We tracked the development of innate immunity in nestling Tree Swallows (</span><span class=\"genus-species\">Tachycineta bicolor</span><span>) and compared it to that of adults using blood drawn from nestlings during days 6, 12, and 18 of the ∼20-day nestling period and from adults. Innate immunity was characterized using an&nbsp;</span><i>in vitro</i><span>&nbsp;assay of the ability of whole blood to kill&nbsp;</span><span class=\"genus-species\">Escherichia coli</span><span>. The ability of whole blood to kill&nbsp;</span><span class=\"genus-species\">E. coli</span><span>&nbsp;increased as nestlings matured. Neither this component of innate immunity nor right wing chord length on day18 were as developed as in adults indicating that development of the innate immune system and growth both continued after fledging. Narrow sense heritability analyses suggest that females with strong immune responses produced nestlings with strong immune responses. These data suggest nestling Tree Swallows allocated sufficient energy to support rapid growth to enable fledging by day 18, but that further development of innate immunity occurred post-fledging.</span></p>","language":"English","publisher":"BioOne","doi":"10.1676/10-197.1","issn":"15594491","usgsCitation":"Stambaugh, T., Houdek, B., Lombardo, M., Thorpe, P., and Hahn, C., 2011, Innate immune response development in nestling tree swallows: Wilson Journal of Ornithology, v. 123, no. 4, p. 779-787, https://doi.org/10.1676/10-197.1.","productDescription":"9 p.","startPage":"779","endPage":"787","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":243882,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216043,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1676/10-197.1"}],"country":"United States","state":"Michigan","city":"Allendale","otherGeospatial":"Grand Valley State University","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.96973419189453,\n              42.95692504577836\n            ],\n            [\n              -85.94098091125487,\n              42.95692504577836\n            ],\n            [\n              -85.94098091125487,\n              42.981293052538355\n            ],\n            [\n              -85.96973419189453,\n              42.981293052538355\n            ],\n            [\n              -85.96973419189453,\n              42.95692504577836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3bfae4b0c8380cd6298c","contributors":{"authors":[{"text":"Stambaugh, T.","contributorId":6448,"corporation":false,"usgs":true,"family":"Stambaugh","given":"T.","email":"","affiliations":[],"preferred":false,"id":451520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houdek, B.J.","contributorId":32004,"corporation":false,"usgs":true,"family":"Houdek","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":451522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombardo, M.P.","contributorId":56060,"corporation":false,"usgs":true,"family":"Lombardo","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":451524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thorpe, P.A.","contributorId":21363,"corporation":false,"usgs":true,"family":"Thorpe","given":"P.A.","email":"","affiliations":[],"preferred":false,"id":451521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hahn, Caldwell 0000-0002-5242-2059 chahn@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":3203,"corporation":false,"usgs":true,"family":"Hahn","given":"Caldwell","email":"chahn@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":451523,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70035617,"text":"70035617 - 2011 - Electronic tags and genetics explore variation in migrating steelhead kelts (oncorhynchus mykiss), Ninilchik river, Alaska","interactions":[],"lastModifiedDate":"2018-08-21T16:28:17","indexId":"70035617","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Electronic tags and genetics explore variation in migrating steelhead kelts (oncorhynchus mykiss), Ninilchik river, Alaska","docAbstract":"Acoustic and archival tags examined freshwater and marine migrations of postspawn steelhead kelts (Oncorhynchus mykiss) in the Ninilchik River, Alaska, USA. Postspawn steelhead were captured at a weir in 2002-2005. Scale analysis indicated multiple migratory life histories and spawning behaviors. Acoustic tags were implanted in 99 kelts (2002-2003), and an array of acoustic receivers calculated the average speed of outmigration, timing of saltwater entry, and duration of residency in the vicinity of the river mouth. Ocean migration data were recovered from two archival tags implanted in kelts in 2004 (one male and one female). Archival tags documented seasonal differences in maximum depth and behavior with both fish spending 97% of time at sea <6 m depth (day and night). All study fish were double tagged with passive integrated transponder (PIT) tags implanted in the body cavity. Less than 4% of PIT tags were retained in postspawn steelhead. Molecular genetics demonstrated no significant differences in genetic population structure across years or among spawning life history types, suggesting a genetically panmictic population with highly diverse life history characteristics in the Ninilchik River.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Fisheries and Aquatic Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/F10-124","issn":"0706652X","usgsCitation":"Nielsen, J., Turner, S., and Zimmerman, C.E., 2011, Electronic tags and genetics explore variation in migrating steelhead kelts (oncorhynchus mykiss), Ninilchik river, Alaska: Canadian Journal of Fisheries and Aquatic Sciences, v. 68, no. 1, p. 1-16, https://doi.org/10.1139/F10-124.","startPage":"1","endPage":"16","numberOfPages":"16","costCenters":[],"links":[{"id":244325,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216454,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/F10-124"}],"volume":"68","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a08ace4b0c8380cd51c0e","contributors":{"authors":[{"text":"Nielsen, J.L.","contributorId":105665,"corporation":false,"usgs":true,"family":"Nielsen","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":451482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, S.M.","contributorId":100220,"corporation":false,"usgs":true,"family":"Turner","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":451481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":451480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032322,"text":"70032322 - 2011 - Wave-current interaction in Willapa Bay","interactions":[],"lastModifiedDate":"2017-11-05T22:28:20","indexId":"70032322","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Wave-current interaction in Willapa Bay","docAbstract":"<p>This paper describes the importance of wave-current interaction in an inlet-estuary system. The three-dimensional, fully coupled, Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system was applied in Willapa Bay (Washington State) from 22 to 29 October 1998 that included a large storm event. To represent the interaction between waves and currents, the vortex-force method was used. Model results were compared with water elevations, currents, and wave measurements obtained by the U.S. Army Corp of Engineers. In general, a good agreement between field data and computed results was achieved, although some discrepancies were also observed in regard to wave peak directions in the most upstream station. Several numerical experiments that considered different forcing terms were run in order to identify the effects of each wind, tide, and wave-current interaction process. Comparison of the horizontal momentum balances results identified that wave-breaking-induced acceleration is one of the leading terms in the inlet area. The enhancement of the apparent bed roughness caused by waves also affected the values and distribution of the bottom shear stress. The pressure gradient showed significant changes with respect to the pure tidal case. During storm conditions the momentum balance in the inlet shares the characteristics of tidal-dominated and wave-dominated surf zone environments. The changes in the momentum balance caused by waves were manifested both in water level and current variations. The most relevant effect on hydrodynamics was a wave-induced setup in the inner part of the estuary.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2011JC007387","issn":"01480227","usgsCitation":"Olabarrieta, M., Warner, J., and Kumar, N., 2011, Wave-current interaction in Willapa Bay: Journal of Geophysical Research C: Oceans, v. 116, no. C12, Article C12014; 27 p., https://doi.org/10.1029/2011JC007387.","productDescription":"Article C12014; 27 p.","costCenters":[],"links":[{"id":475277,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/4991","text":"External Repository"},{"id":242583,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Willapa Bay","volume":"116","issue":"C12","noUsgsAuthors":false,"publicationDate":"2011-12-13","publicationStatus":"PW","scienceBaseUri":"505bcf98e4b08c986b32e9c1","contributors":{"authors":[{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":81631,"corporation":false,"usgs":true,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":435605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":435603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Nirnimesh","contributorId":190663,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","email":"","affiliations":[],"preferred":false,"id":435604,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032324,"text":"70032324 - 2011 - Pore morphology effect in microlog for porosity prediction in a mature field","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032324","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Pore morphology effect in microlog for porosity prediction in a mature field","docAbstract":"In an matured field, developed during the 1950s, no porosity logs were available from sources other than invaded zone resistivity Rxo . The microresistivity porosity is calibrated with the core porosity to yield an accurate estimate of the porosity. However, the procedure of calibrating the porosity with Rxo for a linear regression model may not be predictive without an understanding of the pore types in the reservoir interval. A thorough investigation of the pore types, based on the lithofacies description obtained from the core analysis, and its role in obtaining a good estimate of porosity is demonstrated in the Ogallah field. Therefore, the objective of this paper is to separate the porosity-microlog data into pore-type based zones with characteristic cementation exponents (m) in this multi-petrotype reservoir with a complex mixture of Arbuckle dolomite and sandstone rock. The value of m is critical in making estimates of water saturation. \"Rule of thumb\" values of cementation might lead to errors in water saturation on either the optimistic or the pessimistic side. The rock types in the Ogallah contain interparticle/intercrystalline, vugs and fractures distributed through the rock-facies, which influence the values of cementation factor. We use the modern typed well to shed light on the Archie's equation parameter values. Rock fabric numbers and flow zone indices have been identified for classification of dolomite and sandstone, respectively. The analysis brings out characteristic cementation factors for distinct pore types in the Arbuckle rock. The porosity predictions The analysis results also compliment the petrofacies delineation using LDA in this complicated rock layout as a quality control of the statistical application. The comparison between the predicted and core porosities shows a significant improvement over using a single m value for carbonates and sandstones which will lead to improved description of a matured field. Copyright 2011, Society of Petroleum Engineers.","largerWorkTitle":"SPE Eastern Regional Meeting","conferenceTitle":"Society of Petroleum Engineers Eastern Regional Meeting 2011","conferenceDate":"17 August 2011 through 19 August 2011","conferenceLocation":"Columbus, OH","language":"English","isbn":"9781618390936","usgsCitation":"Teh, W., Willhite, G., Doveton, J., and Tsau, J., 2011, Pore morphology effect in microlog for porosity prediction in a mature field, <i>in</i> SPE Eastern Regional Meeting, Columbus, OH, 17 August 2011 through 19 August 2011, p. 477-488.","startPage":"477","endPage":"488","numberOfPages":"12","costCenters":[],"links":[{"id":242617,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a7dcae4b0c8380cd7a169","contributors":{"authors":[{"text":"Teh, W.J.","contributorId":32002,"corporation":false,"usgs":true,"family":"Teh","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":435614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willhite, G.P.","contributorId":78511,"corporation":false,"usgs":true,"family":"Willhite","given":"G.P.","email":"","affiliations":[],"preferred":false,"id":435615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doveton, J.H.","contributorId":30237,"corporation":false,"usgs":true,"family":"Doveton","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":435613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tsau, J.S.","contributorId":13053,"corporation":false,"usgs":true,"family":"Tsau","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":435612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032325,"text":"70032325 - 2011 - The distribution and abundance of a nuisance native alga, Didymosphen Didymosphenia geminata, in streams of Glacier National Park: Climate drivers and management implications","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032325","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"The distribution and abundance of a nuisance native alga, Didymosphen Didymosphenia geminata, in streams of Glacier National Park: Climate drivers and management implications","docAbstract":"Didymosphenia geminata (didymo) is a freshwater alga native to North America, including Glacier National Park, Montana. It has long been considered a cold-water species, but has recently spread to lower latitudes and warmer waters, and increasingly forms large blooms that cover streambeds. We used a comprehensive monitoring data set from the National Park Service (NPS) and USGS models of stream temperatures to explore the drivers of didymo abundance in Glacier National Park. We estimate that approximately 64% of the stream length in the park contains didymo, with around 5% in a bloom state. Results suggest that didymo abundance likely increased over the study period (2007-2009), with blooms becoming more common. Our models suggest that didymo abundance is positively related to summer stream temperatures and negatively related to total nitrogen and the distance downstream from lakes. Regional climate model simulations indicate that stream temperatures in the park will likely continue to increase over the coming decades, which may increase the extent and severity of didymo blooms. As a result, didymo may be a useful indicator of thermal and hydrological modification associated with climate warming, especially in a relatively pristine system like Glacier where proximate human-related disturbances are absent or reduced. Glacier National Park plays an important role as a sentinel for climate change and associated education across the Rocky Mountain region.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Park Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"07359462","usgsCitation":"William, S.E., Ashton, I., Muhlfeld, C., Jones, L., and Bahls, L., 2011, The distribution and abundance of a nuisance native alga, Didymosphen Didymosphenia geminata, in streams of Glacier National Park: Climate drivers and management implications: Park Science, v. 28, no. 2.","costCenters":[],"links":[{"id":242646,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505baacae4b08c986b3229f3","contributors":{"authors":[{"text":"William, Schweiger E.","contributorId":60463,"corporation":false,"usgs":true,"family":"William","given":"Schweiger","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, I.W.","contributorId":101900,"corporation":false,"usgs":true,"family":"Ashton","given":"I.W.","email":"","affiliations":[],"preferred":false,"id":435620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhlfeld, C.C.","contributorId":97850,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"C.C.","affiliations":[],"preferred":false,"id":435619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, L.A.","contributorId":38794,"corporation":false,"usgs":true,"family":"Jones","given":"L.A.","email":"","affiliations":[],"preferred":false,"id":435617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bahls, L.L.","contributorId":36208,"corporation":false,"usgs":true,"family":"Bahls","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":435616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032327,"text":"70032327 - 2011 - Spatial variation in transient water table responses: Differences between an upper and lower hillslope zone","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032327","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Spatial variation in transient water table responses: Differences between an upper and lower hillslope zone","docAbstract":"To better understand storage-runoff dynamics, transient groundwater responses were examined in one of the steep watersheds in British Columbia's coastal mountains. Streamflow and piezometric data were collected for 1year to determine the spatial and temporal relations between transient groundwater levels and discharge. Correlations between piezometer responses and lag-time analysis were used to identify and better understand runoff generation mechanisms in this watershed. Results showed a large spatial and temporal variation in transient water table dynamics and indicated that two distinct zones existed: a lower hillslope zone and an upslope zone. Each zone was characterized by very different water table responses. The upper hillslope was disconnected from the stream for the majority of time, suggesting that during most events, it does not directly contribute to streamflow. Piezometers in the lower hillslope zone showed hydrologically limited responses, suggesting rapid subsurface flow, likely through the many macropores and soil pipes. The lag time between peak streamflow and peak groundwater level decreased with increasing antecedent moisture conditions and was more variable for piezometers further away from the stream than for piezometers close to the stream. The study results indicate that a single storage-runoff model is not appropriate for this steep watershed and that a two- or three-compartment model would be more suitable. ?? 2011 John Wiley & Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrological Processes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/hyp.8354","issn":"08856087","usgsCitation":"Haught, D., and Van Meerveld, H., 2011, Spatial variation in transient water table responses: Differences between an upper and lower hillslope zone: Hydrological Processes, v. 25, no. 25, p. 3866-3877, https://doi.org/10.1002/hyp.8354.","startPage":"3866","endPage":"3877","numberOfPages":"12","costCenters":[],"links":[{"id":214890,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/hyp.8354"},{"id":242648,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"25","noUsgsAuthors":false,"publicationDate":"2011-11-14","publicationStatus":"PW","scienceBaseUri":"505b94bde4b08c986b31ac1b","contributors":{"authors":[{"text":"Haught, D.R.W.","contributorId":80100,"corporation":false,"usgs":true,"family":"Haught","given":"D.R.W.","email":"","affiliations":[],"preferred":false,"id":435629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Meerveld, H. J.","contributorId":107954,"corporation":false,"usgs":true,"family":"Van Meerveld","given":"H. J.","affiliations":[],"preferred":false,"id":435630,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032334,"text":"70032334 - 2011 - Monitoring the Earthquake source process in North America","interactions":[],"lastModifiedDate":"2012-03-12T17:21:25","indexId":"70032334","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the Earthquake source process in North America","docAbstract":"With the implementation of the USGS National Earthquake Information Center Prompt Assessment of Global Earthquakes for Response system (PAGER), rapid determination of earthquake moment magnitude is essential, especially for earthquakes that are felt within the contiguous United States. We report an implementation of moment tensor processing for application to broad, seismically active areas of North America. This effort focuses on the selection of regional crustal velocity models, codification of data quality tests, and the development of procedures for rapid computation of the seismic moment tensor. We systematically apply these techniques to earthquakes with reported magnitude greater than 3.5 in continental North America that are not associated with a tectonic plate boundary. Using the 0.02-0.10 Hz passband, we can usually determine, with few exceptions, moment tensor solutions for earthquakes with M  w as small as 3.7. The threshold is significantly influenced by the density of stations, the location of the earthquake relative to the seismic stations and, of course, the signal-to-noise ratio. With the existing permanent broadband stations in North America operated for rapid earthquake response, the seismic moment tensor of most earthquakes that are M  w 4 or larger can be routinely computed. As expected the nonuniform spatial pattern of these solutions reflects the seismicity pattern. However, the orientation of the direction of maximum compressive stress and the predominant style of faulting is spatially coherent across large regions of the continent.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1785/0120110095","issn":"00371106","usgsCitation":"Herrmann, R., Benz, H., and Ammon, C., 2011, Monitoring the Earthquake source process in North America: Bulletin of the Seismological Society of America, v. 101, no. 6, p. 2609-2625, https://doi.org/10.1785/0120110095.","startPage":"2609","endPage":"2625","numberOfPages":"17","costCenters":[],"links":[{"id":215015,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120110095"},{"id":242780,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-12-08","publicationStatus":"PW","scienceBaseUri":"505a5de4e4b0c8380cd70679","contributors":{"authors":[{"text":"Herrmann, Robert B.","contributorId":80255,"corporation":false,"usgs":false,"family":"Herrmann","given":"Robert B.","affiliations":[],"preferred":false,"id":435655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benz, H.","contributorId":61953,"corporation":false,"usgs":true,"family":"Benz","given":"H.","email":"","affiliations":[],"preferred":false,"id":435654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ammon, C.J.","contributorId":28389,"corporation":false,"usgs":true,"family":"Ammon","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":435653,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70032349,"text":"70032349 - 2011 - Monitoring and inversion on land subsidence over mining area with InSAR technique","interactions":[],"lastModifiedDate":"2012-03-12T17:21:26","indexId":"70032349","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring and inversion on land subsidence over mining area with InSAR technique","docAbstract":"The Wulanmulun town, located in Inner Mongolia, is one of the main mining areas of Shendong Company such as Shangwan coal mine and Bulianta coal mine, which has been suffering serious mine collapse with the underground mine withdrawal. We use ALOS/PALSAR data to extract land deformation under these regions, in which Small Baseline Subsets (SBAS) method was applied. Then we compared InSAR results with the underground mining activities, and found high correlations between them. Lastly we applied Distributed Dislocation (Okada) model to invert the mine collapse mechanism. ?? 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).","largerWorkTitle":"Proceedings of SPIE - The International Society for Optical Engineering","conferenceTitle":"International Symposium on Lidar and Radar Mapping 2011: Technologies and Applications","conferenceDate":"26 May 2011 through 29 May 2011","conferenceLocation":"Nanjing","language":"English","doi":"10.1117/12.912345","issn":"0277786X","isbn":"9780819489333","usgsCitation":"Wang, Y., Zhang, Q., Zhao, C., Lu, Z., and Ding, X., 2011, Monitoring and inversion on land subsidence over mining area with InSAR technique, <i>in</i> Proceedings of SPIE - The International Society for Optical Engineering, v. 8286, Nanjing, 26 May 2011 through 29 May 2011, https://doi.org/10.1117/12.912345.","costCenters":[],"links":[{"id":214734,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1117/12.912345"},{"id":242484,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8286","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5d88e4b0c8380cd70430","contributors":{"authors":[{"text":"Wang, Y.","contributorId":64213,"corporation":false,"usgs":true,"family":"Wang","given":"Y.","affiliations":[],"preferred":false,"id":435722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Q.","contributorId":84163,"corporation":false,"usgs":true,"family":"Zhang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":435723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhao, C.","contributorId":14655,"corporation":false,"usgs":true,"family":"Zhao","given":"C.","email":"","affiliations":[],"preferred":false,"id":435720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":435724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ding, X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":435721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70032356,"text":"70032356 - 2011 - Nocturnal activity patterns of northern myotis (Myotis septentrionalis) during the maternity season in West Virginia (USA)","interactions":[],"lastModifiedDate":"2012-03-12T17:21:20","indexId":"70032356","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":629,"text":"Acta Chiropterologica","active":true,"publicationSubtype":{"id":10}},"title":"Nocturnal activity patterns of northern myotis (Myotis septentrionalis) during the maternity season in West Virginia (USA)","docAbstract":"Nocturnal activity patterns of northern myotis (Myotis septentrionalis) at diurnal roost trees remain largely uninvestigated. For example, the influence of reproductive status, weather, and roost tree and surrounding habitat characteristics on timing of emergence, intra-night activity, and entrance at their roost trees is poorly known. We examined nocturnal activity patterns of northern myotis maternity colonies during pregnancy and lactation at diurnal roost trees situated in areas that were and were not subjected to recent prescribed fires at the Fernow Experimental Forest, West Virginia from 2007 to 2009. According to exit counts and acoustic data, northern myotis colony sizes were similar between reproductive periods and roost tree settings. However, intra-night activity patterns differed slightly between reproductive periods and roost trees in burned and non-burned areas. Weather variables poorly explained variation in activity patterns during pregnancy, but precipitation and temperature were negatively associated with activity patterns during lactation. ?? Museum and Institute of Zoology PAS.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Acta Chiropterologica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.3161/150811011X624866","issn":"15081109","usgsCitation":"Johnson, J., Edwards, J., and Ford, W., 2011, Nocturnal activity patterns of northern myotis (Myotis septentrionalis) during the maternity season in West Virginia (USA): Acta Chiropterologica, v. 13, no. 2, p. 391-397, https://doi.org/10.3161/150811011X624866.","startPage":"391","endPage":"397","numberOfPages":"7","costCenters":[],"links":[{"id":241504,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":213842,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3161/150811011X624866"}],"volume":"13","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6727e4b0c8380cd731e3","contributors":{"authors":[{"text":"Johnson, J.B.","contributorId":35107,"corporation":false,"usgs":true,"family":"Johnson","given":"J.B.","affiliations":[],"preferred":false,"id":435756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, J.W.","contributorId":62002,"corporation":false,"usgs":true,"family":"Edwards","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":435758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W.M.","contributorId":50475,"corporation":false,"usgs":true,"family":"Ford","given":"W.M.","email":"","affiliations":[],"preferred":false,"id":435757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034169,"text":"70034169 - 2011 - Spatiotemporal evolution of dike opening and décollement slip at Kīlauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2020-10-03T16:24:14.025474","indexId":"70034169","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal evolution of dike opening and décollement slip at Kīlauea Volcano, Hawai'i","docAbstract":"Rapid changes in ground tilt and GPS positions on Kīlauea Volcano, Hawai'i, are interpreted as resulting from a shallow, two-segment dike intrusion into the east rift zone that began at 1217 UTC (0217 HST) on 17 June 2007 and lasted almost 3 days. As a result of the intrusion, a very small volume of basalt (about 1500 m<sup>3</sup>) erupted on 19 June. Northward tilt at a coastal tiltmeter, subsidence of south flank GPS sites, southeastward displacements at southwestern flank GPS sites, and a swarm of flank earthquakes suggest that a slow slip event occurred on the décollement beneath Kīlauea's south flank concurrent with the rift intrusion. We use 4 min GPS positions that include estimates of time-dependent tropospheric gradients and ground tilt data to study the spatial and temporal relationships between the two inferred shallow, steeply dipping dike segments extending from the surface to about 2 km depth and décollement slip at 8 km depth. We invert for the temporal evolution of distributed dike opening and décollement slip in independent inversions at each time step using a nonnegative least squares algorithm. On the basis of these inversions, the intrusion occurred in two stages that correspond spatially and temporally with concentrated rift zone seismicity. The dike opening began on the western of the two segments before jumping to the eastern segment, where the majority of opening accumulated. Dike opening preceded the start of décollement slip at an 84% confidence level; the latter is indicated by the onset of northward tilt of a coastal tiltmeter. Displacements at southwest flank GPS sites began about 18 h later and are interpreted as resulting from slow slip on the southwestern flank. Additional constraints on the evolution of the intrusion and décollement slip come from inversion of an Envisat interferogram that spans the intrusion until 0822 UTC on 18 June 2007, combined with GPS and tilt data. This inversion shows that up to 0822 UTC on 18 June, décollement slip is only required in a limited region offshore of Ka'ena Point. A similar inversion of the complete event, which includes GPS and tilt data up to 21 June and a second Envisat interferogram spanning the complete intrusion until 21 June, shows décollement slip spread westward across the south flank. This may suggest westward migration of the décollement slip as the event progressed.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JB007762","usgsCitation":"Montgomery-Brown, E., Sinnett, D.K., Larson, K., Poland, M., Segall, P., and Mikijus, A., 2011, Spatiotemporal evolution of dike opening and décollement slip at Kīlauea Volcano, Hawai'i: Journal of Geophysical Research B: Solid Earth, v. 116, no. 3, B03401, 14 p., https://doi.org/10.1029/2010JB007762.","productDescription":"B03401, 14 p.","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":475163,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jb007762","text":"Publisher Index Page"},{"id":244841,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.056854 ], [ -155.798371,19.550464 ], [ -155.016307,19.550464 ], [ -155.016307,19.056854 ], [ -155.798371,19.056854 ] ] ] } } ] }","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-23","publicationStatus":"PW","scienceBaseUri":"505b94cee4b08c986b31ac5c","contributors":{"authors":[{"text":"Montgomery-Brown, E. K.","contributorId":81722,"corporation":false,"usgs":false,"family":"Montgomery-Brown","given":"E. K.","affiliations":[],"preferred":false,"id":444406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinnett, D. K.","contributorId":16680,"corporation":false,"usgs":false,"family":"Sinnett","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":444403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, K.M.","contributorId":84949,"corporation":false,"usgs":true,"family":"Larson","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":444407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":105847,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","affiliations":[],"preferred":false,"id":444408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Segall, P.","contributorId":44231,"corporation":false,"usgs":false,"family":"Segall","given":"P.","affiliations":[],"preferred":false,"id":444404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mikijus, Asta 0000-0002-2286-1886","orcid":"https://orcid.org/0000-0002-2286-1886","contributorId":80431,"corporation":false,"usgs":true,"family":"Mikijus","given":"Asta","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":444405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046617,"text":"70046617 - 2011 - GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow","interactions":[],"lastModifiedDate":"2013-06-17T09:22:06","indexId":"70046617","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow","docAbstract":"This dataset, termed \"GAGES II\", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they were the least-disturbed watersheds within the framework of broad regions, based on 12 major ecoregions across the United States. Of the 9,322 total sites, 2,057 are classified as reference, and 7,265 as non-reference. Of the 2,057 reference sites, 1,633 have (through 2009) 20+ years of record since 1950. Some sites have very long flow records: a number of gages have been in continuous service since 1900 (at least), and have 110 years of complete record (1900-2009) to date. The geospatial data include several hundred watershed characteristics compiled from national data sources, including environmental features (e.g. climate – including historical precipitation, geology, soils, topography) and anthropogenic influences (e.g. land use, road density, presence of dams, canals, or power plants). The dataset also includes comments from local USGS Water Science Centers, based on Annual Data Reports, pertinent to hydrologic modifications and influences. The data posted also include watershed boundaries in GIS format. This overall dataset is different in nature to the USGS Hydro-Climatic Data Network (HCDN; Slack and Landwehr 1992), whose data evaluation ended with water year 1988. The HCDN identifies stream gages which at some point in their history had periods which represented natural flow, and the years in which those natural flows occurred were identified (i.e. not all HCDN sites were in reference condition even in 1988, for example, 02353500). The HCDN remains a valuable indication of historic natural streamflow data. However, the goal of this dataset was to identify watersheds which currently have near-natural flow conditions, and the 2,057 reference sites identified here were derived independently of the HCDN. A subset, however, noted in the BasinID worksheet as “HCDN-2009”, has been identified as an updated list of 743 sites for potential hydro-climatic study. The HCDN-2009 sites fulfill all of the following criteria: (a) have 20 years of complete and continuous flow record in the last 20 years (water years 1990-2009), and were thus also currently active as of 2009, (b) are identified as being in current reference condition according to the GAGES-II classification, (c) have less than 5 percent imperviousness as measured from the NLCD 2006, and (d) were not eliminated by a review from participating state Water Science Center evaluators. The data posted here consist of the following items:- This point shapefile, with summary data for the 9,322 gages.- A zip file containing basin characteristics, variable definitions, and a more detailed report.- A zip file containing shapefiles of basin boundaries, organized by classification and aggregated ecoregion.- A zip file containing mainstem stream lines (Arc line coverages) for each gage.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046617","usgsCitation":"Falcone, J.A., 2011, GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow, Dataset, https://doi.org/10.3133/70046617.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273765,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.000000,5.402082 ], [ -180.000000,90.000000 ], [ 180.000000,90.000000 ], [ 180.000000,5.402082 ], [ -180.000000,5.402082 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02feae4b0ee1529ed3cdc","contributors":{"authors":[{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":614,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":479872,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043971,"text":"70043971 - 2011 - Wind River watershed restoration, annual report November 2009 to October 2010.","interactions":[],"lastModifiedDate":"2017-02-16T10:20:18","indexId":"70043971","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River watershed restoration, annual report November 2009 to October 2010.","docAbstract":"This report summarizes work completed by U.S. Geological Survey’s Columbia River Research Laboratory (USGS-CRRL) in the Wind River subbasin during the period November 2009 through October 2010 under Bonneville Power Administration (BPA) contract 46102. Long term research in the Wind River has focused on assessments of steelhead/rainbow trout Oncorhynchus mykiss populations, interactions with introduced populations of spring Chinook salmon O. tshawytscha and brook trout Salvelinus fontinalis, and influences of habitat variables and habitat restoration on fish productivity.  During the period covered by this report, we collected water temperature data to characterize variation within and among tributaries and mainstem sections in the Trout Creek watershed, and assisted Washington Department of Fish and Wildlife (WDFW) with smolt trapping and tagging of smolt and parr steelhead with passive integrated transponder (PIT) tags.  We also continued to maintain and test efficacy of a passive integrated transponder tag interrogation system (PTIS) in Trout Creek for assessing the adult steelhead runsize.  \n\t\nA statement of work (SOW) was submitted to BPA in October 2009 that outlined work to be performed by USGS-CRRL. The SOW was organized by work elements, with each describing a research task. This report summarizes the progress completed under each work element. \n","language":"English","publisher":"Bonneville Power Administration","publisherLocation":"Reston, VA","usgsCitation":"Connolly, P., and Jezorek, I., 2011, Wind River watershed restoration, annual report November 2009 to October 2010.","numberOfPages":"8","ipdsId":"IP-029348","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":335683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"UNITED STATES","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c834e4b025c46428629c","contributors":{"authors":[{"text":"Connolly, P.J.","contributorId":70141,"corporation":false,"usgs":true,"family":"Connolly","given":"P.J.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":669563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, I.G.","contributorId":177887,"corporation":false,"usgs":true,"family":"Jezorek","given":"I.G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":669564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044014,"text":"70044014 - 2011 - Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system","interactions":[],"lastModifiedDate":"2015-01-16T10:18:04","indexId":"70044014","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system","docAbstract":"<p><span>Since the launch of the USGS&rsquo;s Prompt Assessment of Global Earthquakes for Response (PAGER) system in fall of 2007, the time needed for the U.S. Geological Survey (USGS) to determine and comprehend the scope of any major earthquake disaster anywhere in the world has been dramatically reduced to less than 30 min. PAGER alerts consist of estimated shaking hazard from the ShakeMap system, estimates of population exposure at various shaking intensities, and a list of the most severely shaken cities in the epicentral area. These estimates help government, scientific, and relief agencies to guide their responses in the immediate aftermath of a significant earthquake. To account for wide variability and uncertainty associated with inventory, structural vulnerability and casualty data, PAGER employs three different global earthquake fatality/loss computation models. This article describes the development of the models and demonstrates the loss estimation capability for earthquakes that have occurred since 2007. The empirical model relies on country-specific earthquake loss data from past earthquakes and makes use of calibrated casualty rates for future prediction. The semi-empirical and analytical models are engineering-based and rely on complex datasets including building inventories, time-dependent population distributions within different occupancies, the vulnerability of regional building stocks, and casualty rates given structural collapse.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Human casualties in earthquakes: progress in modelling and mitigation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-90-481-9455-1_6","usgsCitation":"Jaiswal, K., Wald, D.J., Earle, P.S., Porter, K.A., and Hearne, M., 2011, Earthquake casualty models within the USGS Prompt Assessment of Global Earthquakes for Response (PAGER) system, chap. <i>of</i> Human casualties in earthquakes: progress in modelling and mitigation, v. 29, p. 83-94, https://doi.org/10.1007/978-90-481-9455-1_6.","productDescription":"12 p.","startPage":"83","endPage":"94","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-007955","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":271421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","noUsgsAuthors":false,"publicationDate":"2010-12-08","publicationStatus":"PW","scienceBaseUri":"5178fee7e4b0d842c705f6fc","contributors":{"authors":[{"text":"Jaiswal, Kishor kjaiswal@usgs.gov","contributorId":861,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":474617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":474613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Porter, Keith A.","contributorId":28883,"corporation":false,"usgs":true,"family":"Porter","given":"Keith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042392,"text":"70042392 - 2011 - Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","interactions":[],"lastModifiedDate":"2020-01-13T06:34:57","indexId":"70042392","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond","docAbstract":"<p>Movement of dissolved inorganic carbon (DIC) through the hydrologic cycle is an important component of global carbon budgets, but there is considerable uncertainty about the controls of DIC transmission from landscapes to streams, and through river networks to the oceans. In this study, diel measurements of DIC, d13C-DIC, dissolved oxygen (O2), d18O-O2, alkalinity, pH, and other parameters were used to assess the relative magnitudes of biological and geochemical controls on DIC cycling and flux in a nutrient-rich, net autotrophic stream. Rates of photosynthesis (P), respiration (R), groundwater discharge, air–water exchange of CO2, and carbonate precipitation/dissolution were quantified through a time-stepping chemical/isotope (12C and 13C, 16O and 18O) mass balance model. Groundwater was the major source of DIC to the stream. Primary production and carbonate precipitation were equally important sinks for DIC removed from the water column. The stream was always super-saturated with respect to carbonate minerals, but carbonate precipitation occurred mainly during the day when P increased pH. We estimated more than half (possibly 90%) of the carbonate precipitated during the day was retained in the reach under steady baseflow conditions. The amount of DIC removed from the overlying water through carbonate precipitation was similar to the amount of DIC generated from R. Air–water exchange of CO2 was always from the stream to the atmosphere, but was the smallest component of the DIC budget. Overall, the in-stream DIC reactions reduced the amount of CO2 evasion and the downstream flux of groundwater-derived DIC by about half relative to a hypothetical scenario with groundwater discharge only. Other streams with similar characteristics are widely distributed in the major river basins of North America. Data from USGS water quality monitoring networks from the 1960s to the 1990s indicated that 40% of 652 stream monitoring stations in the contiguous USA were at or above the equilibrium saturation state for calcite, and 77% of all stations exhibited apparent increases in saturation state from the 1960/70s to the 1980/90s. Diel processes including partially irreversible carbonate precipitation may affect net carbon fluxes from many such watersheds.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2010.12.012","usgsCitation":"Tobias, C., and Bohlke, J., 2011, Biological and geochemical controls on diel dissolved inorganic carbon cycling in a low-order agricultural stream: Implications for reach scales and beyond: Chemical Geology, v. 283, no. 1-2, p. 18-30, https://doi.org/10.1016/j.chemgeo.2010.12.012.","productDescription":"13 p.","startPage":"18","endPage":"30","ipdsId":"IP-022716","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":265319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ],\n            [\n              -124.98046874999999,\n              46.07323062540835\n            ],\n            [\n              -125.68359374999999,\n              42.032974332441405\n            ],\n            [\n              -125.33203125,\n              39.232253141714885\n            ],\n            [\n              -122.87109375,\n              36.1733569352216\n            ],\n            [\n              -119.53125,\n              33.43144133557529\n            ],\n            [\n              -116.3671875,\n              32.69486597787505\n            ],\n            [\n              -111.4453125,\n              31.50362930577303\n            ],\n            [\n              -106.875,\n              31.653381399664\n            ],\n            [\n              -95.97656249999999,\n              25.005972656239187\n            ],\n            [\n              -95.625,\n              27.68352808378776\n            ],\n            [\n              -92.98828125,\n              29.38217507514529\n            ],\n            [\n              -88.59374999999999,\n              28.613459424004414\n            ],\n            [\n              -88.24218749999999,\n              29.84064389983441\n            ],\n            [\n              -84.90234375,\n              28.613459424004414\n            ],\n            [\n              -80.68359375,\n              24.046463999666567\n            ],\n            [\n              -79.1015625,\n              25.48295117535531\n            ],\n            [\n              -78.92578124999999,\n              30.751277776257812\n            ],\n            [\n              -76.46484375,\n              34.59704151614417\n            ],\n            [\n              -74.70703125,\n              37.020098201368114\n            ],\n            [\n              -73.30078125,\n              38.8225909761771\n            ],\n            [\n              -70.48828125,\n              40.84706035607122\n            ],\n            [\n              -67.5,\n              43.83452678223682\n            ],\n            [\n              -67.5,\n              47.27922900257082\n            ],\n            [\n              -69.78515625,\n              47.27922900257082\n            ],\n            [\n              -75.76171875,\n              45.82879925192134\n            ],\n            [\n              -81.73828125,\n              42.16340342422401\n            ],\n            [\n              -80.85937499999999,\n              45.089035564831036\n            ],\n            [\n              -84.19921875,\n              46.92025531537451\n            ],\n            [\n              -93.8671875,\n              49.38237278700955\n            ],\n            [\n              -126.21093749999999,\n              49.49667452747045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"283","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50ebfc72e4b07f1501afcfc4","contributors":{"authors":[{"text":"Tobias, Craig","contributorId":90612,"corporation":false,"usgs":true,"family":"Tobias","given":"Craig","affiliations":[],"preferred":false,"id":471455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":471454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044482,"text":"70044482 - 2011 - U.S. Geological Survey:   A synopsis of Three-dimensional Modeling","interactions":[],"lastModifiedDate":"2013-06-04T11:47:27","indexId":"70044482","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"U.S. Geological Survey:   A synopsis of Three-dimensional Modeling","docAbstract":"The U.S. Geological Survey (USGS) is a multidisciplinary agency that provides assessments of natural resources (geological, hydrological, biological), the disturbances that affect those resources, and the disturbances that affect the built environment, natural landscapes, and human society. Until now, USGS map products have been generated and distributed primarily as 2-D maps, occasionally providing cross sections or overlays, but rarely allowing the ability to characterize and understand 3-D systems, how they change over time (4-D), and how they interact. And yet, technological advances in monitoring natural resources and the environment, the ever-increasing diversity of information needed for holistic assessments, and the intrinsic 3-D/4-D nature of the information obtained increases our need to generate, verify, analyze, interpret, confirm, store, and distribute its scientific information and products using 3-D/4-D visualization, analysis, modeling tools, and information frameworks. Today, USGS scientists use 3-D/4-D tools to (1) visualize and interpret geological information, (2) verify the data, and (3) verify their interpretations and models. 3-D/4-D visualization can be a powerful quality control tool in the analysis of large, multidimensional data sets. USGS scientists use 3-D/4-D technology for 3-D surface (i.e., 2.5-D) visualization as well as for 3-D volumetric analyses. Examples of geological mapping in 3-D include characterization of the subsurface for resource assessments, such as aquifer characterization in the central United States, and for input into process models, such as seismic hazards in the western United States.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chapter 13 in <i>Synopsis of Current Three-dimensional Geological Mapping  and Modeling in Geological Survey Organizations</i>","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Illinois State Geological Survey","usgsCitation":"Jacobsen, L.J., Glynn, P.D., Phelps, G.A., Orndorff, R.C., Bawden, G.W., and Grauch, V.J., 2011, U.S. Geological Survey:   A synopsis of Three-dimensional Modeling, chap. <i>of</i> Chapter 13 in <i>Synopsis of Current Three-dimensional Geological Mapping  and Modeling in Geological Survey Organizations</i>, p. 69-79.","productDescription":"11 p.","startPage":"69","endPage":"79","ipdsId":"IP-024495","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":273203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273202,"type":{"id":11,"text":"Document"},"url":"https://water.usgs.gov/nrp/proj.bib/Publications/2011/jacobsen_glynn_etal_2011.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c72e4b08a3322c2c372","contributors":{"authors":[{"text":"Jacobsen, Linda J.","contributorId":9159,"corporation":false,"usgs":true,"family":"Jacobsen","given":"Linda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phelps, Geoff A.","contributorId":59328,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475705,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grauch, V. 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,{"id":70046785,"text":"70046785 - 2011 - A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","interactions":[],"lastModifiedDate":"2013-07-08T13:04:35","indexId":"70046785","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"seriesTitle":{"id":361,"text":"General Information","active":false,"publicationSubtype":{"id":6}},"title":"A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","docAbstract":"A digital hydrologic network was developed to support SPAtially Referenced Regression on Watershed attributes (SPARROW) models within selected regions of the United States. These regions correspond with the U.S. Geological Survey's National Water Quality Assessment (NAWQA) Program Major River Basin (MRB) study units 2, 3, 4, 5, and 7 (Preston and others, 2009).  MRB2, covers the South Atlantic-Gulf and Tennessee River basins.  MRB3, covers the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins.  MRB4, covers the Missouri River basins.  MRB5, covers the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins.  MRB7, covers the Pacific Northwest River basins. The digital hydrologic network described here represents surface-water pathways (MRB_E2RF1) and associated catchments (MRB_E2RF1WS). It serves as the fundamental framework to spatially reference and summarize explanatory information supporting nutrient SPARROW models (Brakebill and others, 2011; Wieczorek and LaMotte, 2011). The principal geospatial dataset used to support this regional effort was based on an enhanced version of a 1:500,000 scale digital stream-reach network (ERF1_2) (Nolan et al., 2002). Enhancements included associating over 3,500 water-quality monitoring sites to the reach network, improving physical locations of stream reaches at or near monitoring locations, and generating drainage catchments based on 100m elevation data. A unique number (MRB_ID) identifies each reach as a single unit. This unique number is also shared by the catchment area drained by the reach, thus spatially linking the hydrologically connected streams and the respective drainage area characteristics. In addition, other relevant physical, environmental, and monitoring information can be associated to the common network and accessed using the unique identification number.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046785","usgsCitation":"Brakebill, J., and Terziotti, S., 2011, A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS (1.0): General Information, Dataset, https://doi.org/10.3133/70046785.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274629,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1ws.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.290499,23.033207 ], [ -128.290499,52.450082 ], [ -64.959844,52.450082 ], [ -64.959844,23.033207 ], [ -128.290499,23.033207 ] ] ] } } ] }","edition":"1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dbdf64e4b0f81004b77c9f","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":480249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":480248,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046772,"text":"70046772 - 2011 - A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","interactions":[],"lastModifiedDate":"2013-07-02T15:40:17","indexId":"70046772","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS","docAbstract":"A digital hydrologic network was developed to support SPAtially Referenced Regression on Watershed attributes (SPARROW) models within selected regions of the United States. These regions correspond with the U.S. Geological Survey's National Water Quality Assessment (NAWQA) Program Major River Basin (MRB) study units 2, 3, 4, 5, and 7 (Preston and others, 2009).  MRB2, covers the South Atlantic-Gulf and Tennessee River basins.  MRB3, covers the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins.  MRB4, covers the Missouri River basins.  MRB5, covers the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins.  MRB7, covers the Pacific Northwest River basins. The digital hydrologic network described here represents surface-water pathways (MRB_E2RF1) and associated catchments (MRB_E2RF1WS). It serves as the fundamental framework to spatially reference and summarize explanatory information supporting nutrient SPARROW models (Brakebill and others, 2011; Wieczorek and LaMotte, 2011). The principal geospatial dataset used to support this regional effort was based on an enhanced version of a 1:500,000 scale digital stream-reach network (ERF1_2) (Nolan et al., 2002). Enhancements included associating over 3,500 water-quality monitoring sites to the reach network, improving physical locations of stream reaches at or near monitoring locations, and generating drainage catchments based on 100m elevation data. A unique number (MRB_ID) identifies each reach as a single unit. This unique number is also shared by the catchment area drained by the reach, thus spatially linking the hydrologically connected streams and the respective drainage area characteristics. In addition, other relevant physical, environmental, and monitoring information can be associated to the common network and accessed using the unique identification number.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Baltimore, MA","doi":"10.3133/70046772","usgsCitation":"Brakebill, J., and Terziotti, S., 2011, A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1WS (Version 1.0), Dataset, https://doi.org/10.3133/70046772.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274443,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1ws.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -128.290499,23.033207 ], [ -128.290499,52.450082 ], [ -64.959844,52.450082 ], [ -64.959844,23.033207 ], [ -128.290499,23.033207 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f662e4b09630fbdc526e","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":480204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":480203,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046692,"text":"70046692 - 2011 - A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1","interactions":[],"lastModifiedDate":"2013-06-25T14:09:52","indexId":"70046692","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1","docAbstract":"A digital hydrologic network was developed to support SPAtially Referenced Regression on Watershed attributes (SPARROW) models within selected regions of the United States. These regions correspond with the U.S. Geological Survey's National Water Quality Assessment (NAWQA) Program Major River Basin (MRB) study units 2, 3, 4, 5, and 7 (Preston and others, 2009).  MRB2, covers the South Atlantic-Gulf and Tennessee River basins.  MRB3, covers the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins.  MRB4, covers the Missouri River basins.  MRB5, covers the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins.  MRB7, covers the Pacific Northwest River basins. The digital hydrologic network described here represents surface-water pathways (MRB_E2RF1) and associated catchments (MRB_E2RF1WS). It serves as the fundamental framework to spatially reference and summarize explanatory information supporting nutrient SPARROW models (Brakebill and others, 2011; Wieczorek and LaMotte, 2011). The principal geospatial dataset used to support this regional effort was based on an enhanced version of a 1:500,000 scale digital stream-reach network (ERF1_2) (Nolan et al., 2002). Enhancements included associating over 3,500 water-quality monitoring sites to the reach network, improving physical locations of stream reaches at or near monitoring locations, and generating drainage catchments based on 100m elevation data. A unique number (MRB_ID) identifies each reach as a single unit. This unique number is also shared by the catchment area drained by the reach, thus spatially linking the hydrologically connected streams and the respective drainage area characteristics. In addition, other relevant physical, environmental, and monitoring information can be associated to the common network and accessed using the unique identification number.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Baltimore, MA","doi":"10.3133/70046692","usgsCitation":"Brakebill, J., and Terziotti, S., 2011, A Digital Hydrologic Network Supporting NAWQA MRB SPARROW Modeling--MRB_E2RF1, Dataset, https://doi.org/10.3133/70046692.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274184,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.859452,23.243486 ], [ -127.859452,51.549102 ], [ -65.377389,51.549102 ], [ -65.377389,23.243486 ], [ -127.859452,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51cabbdfe4b0d298e5434c1d","contributors":{"authors":[{"text":"Brakebill, J. W.","contributorId":48206,"corporation":false,"usgs":true,"family":"Brakebill","given":"J. W.","affiliations":[],"preferred":false,"id":480023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terziotti, S.E.","contributorId":6287,"corporation":false,"usgs":true,"family":"Terziotti","given":"S.E.","email":"","affiliations":[],"preferred":false,"id":480022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70040253,"text":"70040253 - 2011 - Informal trail monitoring protocols: Denali National Park and Preserve. Final Report, October 2011","interactions":[],"lastModifiedDate":"2016-12-06T13:39:16","indexId":"70040253","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Informal trail monitoring protocols: Denali National Park and Preserve. Final Report, October 2011","docAbstract":"Managers at Alaska?s Denali National Park and Preserve (DENA) sponsored this research to assess and monitor visitor-created informal trails (ITs). DENA is located in south-central Alaska and managed as a six million acre wilderness park. This program of research was guided by the following objectives: (1) Investigate alternative methods for monitoring the spatial distribution, aggregate lineal extent, and tread conditions of informal (visitor-created) trails within the park. (2) In consultation with park staff, develop, pilot test, and refine cost-effective and scientifically defensible trail monitoring procedures that are fully integrated with the park?s Geographic Information System. (3) Prepare a technical report that compiles and presents research results and their management implications. This report presents the protocol development and field testing process, illustrates the types of data produced by their application, and provides guidance for their application and use. The protocols described provide managers with an efficient means to document and monitor IT conditions in settings ranging from pristine to intensively visited.","language":"English","publisher":"Virginia Tech College of Natural Resources & Environment","publisherLocation":"Blacksburg, VA","usgsCitation":"Marion, J.L., and Wimpey, J.F., 2011, Informal trail monitoring protocols: Denali National Park and Preserve. Final Report, October 2011, iv, 92 p.","productDescription":"iv, 92 p.","ipdsId":"IP-032953","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":331573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5847dc7fe4b06d80b7af6ab7","contributors":{"authors":[{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":654989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimpey, Jeremy F.","contributorId":83769,"corporation":false,"usgs":true,"family":"Wimpey","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046616,"text":"70046616 - 2011 - Water sample locations for Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T09:03:30","indexId":"70046616","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Water sample locations for Fanno Creek, Oregon","docAbstract":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the locations where water-quality samples were collected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046616","usgsCitation":"Sobieszczyk, S., 2011, Water sample locations for Fanno Creek, Oregon, Dataset, https://doi.org/10.3133/70046616.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273761,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/fannoCk_water_samples.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.351779,39.745375 ], [ -129.351779,55.265926 ], [ -109.448056,55.265926 ], [ -109.448056,39.745375 ], [ -129.351779,39.745375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff9e4b0ee1529ed3d87","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479871,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046615,"text":"70046615 - 2011 - Stream Centerline for Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T08:56:05","indexId":"70046615","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Stream Centerline for Fanno Creek, Oregon","docAbstract":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the stream centerline of the current active channel as derived from light detection and ranging (LiDAR) data and aerial photographic imagery.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046615","usgsCitation":"Sobieszczyk, S., 2011, Stream Centerline for Fanno Creek, Oregon, Dataset, https://doi.org/10.3133/70046615.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273759,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/fannoCk_stm_cntr_ln.xml"}],"country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.351779,39.745375 ], [ -129.351779,55.265926 ], [ -109.448056,55.265926 ], [ -109.448056,39.745375 ], [ -129.351779,39.745375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff8e4b0ee1529ed3d6f","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479870,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046614,"text":"70046614 - 2011 - Solid sample locations for Fanno Creek, Oregon","interactions":[],"lastModifiedDate":"2013-06-17T08:45:39","indexId":"70046614","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Solid sample locations for Fanno Creek, Oregon","docAbstract":"Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic flashy streamflow and poor water quality commonly associated with urban streams. This data set represents the locations where solid samples were collected.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046614","usgsCitation":"Sobieszczyk, S., 2011, Solid sample locations for Fanno Creek, Oregon, Dataset, https://doi.org/10.3133/70046614.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273757,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/fannoCk_solid_samples.xml"}],"country":"United States","state":"Oregon","otherGeospatial":"Fanno Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -129.351779,39.745375 ], [ -129.351779,55.265926 ], [ -109.448056,55.265926 ], [ -109.448056,39.745375 ], [ -129.351779,39.745375 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02ff7e4b0ee1529ed3d64","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479869,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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