{"pageNumber":"1771","pageRowStart":"44250","pageSize":"25","recordCount":184660,"records":[{"id":99118,"text":"ofr20101307 - 2011 - A refined characterization of the alluvial geology of yucca flat and its effect on bulk hydraulic conductivity","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20101307","displayToPublicDate":"2011-03-23T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1307","title":"A refined characterization of the alluvial geology of yucca flat and its effect on bulk hydraulic conductivity","docAbstract":"In Yucca Flat, on the Nevada National Security Site in southern Nevada, the migration of radionuclides from tests located in the alluvial deposits into the Paleozoic carbonate aquifer involves passage through a thick, heterogeneous section of late Tertiary and Quaternary alluvial sediments. An understanding of the lateral and vertical changes in the material properties of the alluvial sediments will aid in the further development of the hydrogeologic framework and the delineation of hydrostratigraphic units and hydraulic properties required for simulating groundwater flow in the Yucca Flat area. Previously published geologic models for the alluvial sediments within Yucca Flat are based on extensive examination and categorization of drill-hole data, combined with a simple, data-driven interpolation scheme. The U.S. Geological Survey, in collaboration with Stanford University, is researching improvements to the modeling of the alluvial section, incorporating prior knowledge of geologic structure into the interpolation method and estimating the uncertainty of the modeled hydrogeologic units. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101307","collaboration":"Prepared in cooperation with the U.S. Department of Energy Office of Environmental Management, National Nuclear Security Administration, Nevada Site Office, under Interagency Agreement Department of Energy Agreement DOE DE-AI52-07NA28100 ","usgsCitation":"Phelps, G.A., and Halford, K.J., 2011, A refined characterization of the alluvial geology of yucca flat and its effect on bulk hydraulic conductivity: U.S. Geological Survey Open-File Report 2010-1307, iii, 33 p. , https://doi.org/10.3133/ofr20101307.","productDescription":"iii, 33 p. ","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":671,"text":"Western Region Geology and Geophysics Science Center","active":false,"usgs":true}],"links":[{"id":116877,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1307.gif"},{"id":14565,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1307/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.25,36.833333333333336 ], [ -116.25,37.416666666666664 ], [ -115.83333333333333,37.416666666666664 ], [ -115.83333333333333,36.833333333333336 ], [ -116.25,36.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a849a","contributors":{"authors":[{"text":"Phelps, G. A.","contributorId":67107,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, K. J. 0000-0002-7322-1846","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":61077,"corporation":false,"usgs":true,"family":"Halford","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":307597,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99112,"text":"ofr20111037 - 2011 - Multiple technologies applied to characterization of the porosity and permeability of the Biscayne aquifer, Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:15:46","indexId":"ofr20111037","displayToPublicDate":"2011-03-23T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1037","title":"Multiple technologies applied to characterization of the porosity and permeability of the Biscayne aquifer, Florida","docAbstract":"Research is needed to determine how seepage-control actions planned by the Comprehensive Everglades Restoration Plan (CERP) will affect recharge, groundwater flow, and discharge within the dual-porosity karstic Biscayne aquifer where it extends eastward from the Everglades to Biscayne Bay. A key issue is whether the plan can be accomplished without causing urban flooding in adjacent populated areas and diminishing coastal freshwater flow needed in the restoration of the ecologic systems. Predictive simulation of groundwater flow is a prudent approach to understanding hydrologic change and potential ecologic impacts. A fundamental problem to simulation of karst groundwater flow is how best to represent aquifer heterogeneity. Currently, U.S. Geological Survey (USGS) researchers and academic partners are applying multiple innovative technologies to characterize the spatial distribution of porosity and permeability within the Biscayne aquifer. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111037","usgsCitation":"Cunningham, K., and Sukop, M., 2011, Multiple technologies applied to characterization of the porosity and permeability of the Biscayne aquifer, Florida: U.S. Geological Survey Open-File Report 2011-1037, 8 p., https://doi.org/10.3133/ofr20111037.","productDescription":"8 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":116774,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1037.gif"},{"id":14563,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1037/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b02e4b07f02db698b3f","contributors":{"authors":[{"text":"Cunningham, K.J.","contributorId":39852,"corporation":false,"usgs":true,"family":"Cunningham","given":"K.J.","email":"","affiliations":[],"preferred":false,"id":307591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sukop, M.C.","contributorId":88468,"corporation":false,"usgs":true,"family":"Sukop","given":"M.C.","affiliations":[],"preferred":false,"id":307592,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001344,"text":"ofr20111024 - 2011 - Well installation, single-well testing, and particle-size analysis for selected sites in and near the Lost Creek Designated Ground Water Basin, north-central Colorado, 2003-2004","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"ofr20111024","displayToPublicDate":"2011-03-23T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1024","title":"Well installation, single-well testing, and particle-size analysis for selected sites in and near the Lost Creek Designated Ground Water Basin, north-central Colorado, 2003-2004","docAbstract":"This report describes results from a groundwater data-collection program completed in 2003-2004 by the U.S. Geological Survey in support of the South Platte Decision Support System and in cooperation with the Colorado Water Conservation Board. Two monitoring wells were installed adjacent to existing water-table monitoring wells. These wells were installed as well pairs with existing wells to characterize the hydraulic properties of the alluvial aquifer and shallow Denver Formation sandstone aquifer in and near the Lost Creek Designated Ground Water Basin. Single-well tests were performed in the 2 newly installed wells and 12 selected existing monitoring wells. Sediment particle size was analyzed for samples collected from the screened interval depths of each of the 14 wells. Hydraulic-conductivity and transmissivity values were calculated after the completion of single-well tests on each of the selected wells. Recovering water-level data from the single-well tests were analyzed using the Bouwer and Rice method because test data most closely resembled those obtained from traditional slug tests. Results from the single-well test analyses for the alluvial aquifer indicate a median hydraulic-conductivity value of 3.8 x 10-5 feet per second and geometric mean hydraulic-conductivity value of 3.4 x 10-5 feet per second. Median and geometric mean transmissivity values in the alluvial aquifer were 8.6 x 10-4 feet squared per second and 4.9 x 10-4 feet squared per second, respectively. Single-well test results for the shallow Denver Formation sandstone aquifer indicate a median hydraulic-conductivity value of 5.4 x 10-6 feet per second and geometric mean value of 4.9 x 10-6 feet per second. Median and geometric mean transmissivity values for the shallow Denver Formation sandstone aquifer were 4.0 x 10-5 feet squared per second and 5.9 x 10-5 feet squared per second, respectively. Hydraulic-conductivity values for the alluvial aquifer in and near the Lost Creek Designated Ground Water Basin generally were greater than hydraulic-conductivity values for the Denver Formation sandstone aquifer and less than hydraulic-conductivity values for the alluvial aquifer along the main stem of the South Platte River Basin reported by previous studies. Particle sizes were analyzed for a total of 14 samples of material representative of the screened interval in each of the 14 wells tested in this study. Of the 14 samples collected, 8 samples represent the alluvial aquifer and 6 samples represent the Denver Formation sandstone aquifer in and near the Lost Creek Designated Ground Water Basin. The sampled alluvial aquifer material generally contained a greater percentage of large particles (larger than 0.5 mm) than the sampled sandstone aquifer material. Alternatively, the sampled sandstone aquifer material generally contained a greater percentage of fine particles (smaller than 0.5 mm) than the sampled alluvial aquifer material consistent with the finding that the alluvial aquifer is more conductive than the sandstone aquifer in the vicinity of the Lost Creek Designated Ground Water Basin.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111024","collaboration":"Prepared in cooperation with the Colorado Water Conservation Board","usgsCitation":"Beck, J., Paschke, S.S., and Arnold, L., 2011, Well installation, single-well testing, and particle-size analysis for selected sites in and near the Lost Creek Designated Ground Water Basin, north-central Colorado, 2003-2004: U.S. Geological Survey Open-File Report 2011-1024, iv, 20 p.; Appendices; Appendix 1; Appendix 2; Appendix 3, https://doi.org/10.3133/ofr20111024.","productDescription":"iv, 20 p.; Appendices; Appendix 1; Appendix 2; Appendix 3","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":116842,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1024.png"},{"id":14564,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1024/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.75,39.5 ], [ -104.75,40.5 ], [ -103.83333333333333,40.5 ], [ -103.83333333333333,39.5 ], [ -104.75,39.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4ad4","contributors":{"authors":[{"text":"Beck, Jennifer A.","contributorId":53922,"corporation":false,"usgs":true,"family":"Beck","given":"Jennifer A.","affiliations":[],"preferred":false,"id":344434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paschke, Suzanne S.","contributorId":14072,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":344433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, L. Rick","contributorId":101613,"corporation":false,"usgs":true,"family":"Arnold","given":"L. Rick","affiliations":[],"preferred":false,"id":344435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236115,"text":"70236115 - 2011 - Investigating the complex interface where bedrock transforms to regolith","interactions":[],"lastModifiedDate":"2022-08-29T16:11:53.000246","indexId":"70236115","displayToPublicDate":"2011-03-22T11:06:16","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the complex interface where bedrock transforms to regolith","docAbstract":"<p><span>The interface where bedrock transforms to regolith is not planar but rather has a roughness that varies with the scale of observation. The complexity of this surface is manifested in both element-depth and fragment size-depth distributions and may sometimes be related to the longitudinal profiles of watershed streams. The fractal nature of the bedrock-regolith interface means that the interface has a “thickness” which is &gt;20</span><span>&nbsp;</span><span>m in two ridgetop examples from Pennsylvania and Puerto Rico. Such weathering thicknesses, modeled as a function of one-dimensional fluid flow, are affected by the balance between rates of weathering and erosion. One-dimensional models are consistent with weathering advance rates that vary with equilibrium solubility and porefluid velocities (and not reaction kinetics). However, fluid flow is not strictly downward and one-dimensional. Permeability of regolith changes as particle size and bulk density changes with depth. Thus, both downward and lateral flow occurs especially at reaction fronts where reactions change permeability. The rate of weathering advance is, therefore, affected by the 3-dimensional distribution of reaction zones that affect permeability across the watershed. Quantitative models of such phenomena over a range of spatial and temporal scales are needed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.03.017","usgsCitation":"Brantley, S.L., Buss, H.L., Lebedeva, M., Fletcher, R., and Ma, I., 2011, Investigating the complex interface where bedrock transforms to regolith: Applied Geochemistry, v. 26, no. Supplement, p. S12-S15, https://doi.org/10.1016/j.apgeochem.2011.03.017.","productDescription":"4 p.","startPage":"S12","endPage":"S15","costCenters":[],"links":[{"id":475019,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/bc556619-d1c0-4619-89d5-1217e6f93eee","text":"External Repository"},{"id":405801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"Supplement","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brantley, S. L.","contributorId":213849,"corporation":false,"usgs":false,"family":"Brantley","given":"S.","email":"","middleInitial":"L.","affiliations":[{"id":25381,"text":"Penn State Univ.","active":true,"usgs":false}],"preferred":false,"id":850124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buss, Heather L. 0000-0002-1852-3657","orcid":"https://orcid.org/0000-0002-1852-3657","contributorId":15478,"corporation":false,"usgs":true,"family":"Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":850125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lebedeva, M.","contributorId":295910,"corporation":false,"usgs":false,"family":"Lebedeva","given":"M.","email":"","affiliations":[],"preferred":false,"id":850126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fletcher, R. C.","contributorId":295911,"corporation":false,"usgs":false,"family":"Fletcher","given":"R. C.","affiliations":[],"preferred":false,"id":850127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ma, I.","contributorId":295912,"corporation":false,"usgs":false,"family":"Ma","given":"I.","email":"","affiliations":[],"preferred":false,"id":850128,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236113,"text":"70236113 - 2011 - The delicate balance between soil production and erosion, and its role on landscape evolution","interactions":[],"lastModifiedDate":"2022-08-29T16:03:22.589371","indexId":"70236113","displayToPublicDate":"2011-03-22T10:57:07","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The delicate balance between soil production and erosion, and its role on landscape evolution","docAbstract":"<p><span>The diversity in landscapes at the Earth’s surface is the result, amongst other things, of the balance (or imbalance) between soil production and erosion. While erosion rates are well constrained, it is only recently that we have been able to quantify rates of soil production. Uranium-series isotopes have been useful to provide such estimates independently of erosion rates. In this study, new U-series isotope are presented data from weathering profiles developed over andesitic parent rock in Puerto Rico, and granitic bedrock in southeastern Australia. The site in Australia is located on a highland plateau, neighbouring a retreating escarpment where soil production rates between 10 and 50</span><span>&nbsp;</span><span>mm/kyr have been determined. The results show that production rates are invariant in these two regions of Australia with values between 15 and 25</span><span>&nbsp;</span><span>mm/kyr for the new site. Andesitic soils show much faster rates, about 200</span><span>&nbsp;</span><span>mm/kyr. Overall, soil production rates determined with U-series isotopes range between 10 and 200</span><span>&nbsp;</span><span>mm/kyr. This is comparable to erosion rates in soil-mantled landscapes, but faster than erosion in cratonic areas and slower than in alpine regions and cultivated areas. This suggests that soil-mantled landscapes maintain soil because they can: there is a balance between production and erosion. Similarly, thick weathering profiles develop in cratonic areas because, despite slow erosion rates, soil production is still significant. Bare landscapes in Alpine regions are probably the result of the inability of soil production to catch up with fast erosion rates, although this needs testing by U-series isotope studies of these regions. Finally, the range of production rates is up to several orders of magnitude lower than erosion rates in cultivated areas, demonstrating quantitatively the fast depletion of soil resources with common agricultural practices.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.1016/j.apgeochem.2011.03.020","usgsCitation":"Dosseto, A., Buss, H.L., and Suresh, P.O., 2011, The delicate balance between soil production and erosion, and its role on landscape evolution: Applied Geochemistry, v. 26, no. Supplement, p. S24-S27, https://doi.org/10.1016/j.apgeochem.2011.03.020.","productDescription":"4 p.","startPage":"S24","endPage":"S27","costCenters":[],"links":[{"id":475020,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":405798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"Supplement","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dosseto, A.","contributorId":295908,"corporation":false,"usgs":false,"family":"Dosseto","given":"A.","email":"","affiliations":[],"preferred":false,"id":850117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buss, Heather L. 0000-0002-1852-3657","orcid":"https://orcid.org/0000-0002-1852-3657","contributorId":15478,"corporation":false,"usgs":true,"family":"Buss","given":"Heather","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":850118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suresh, P. O.","contributorId":295909,"corporation":false,"usgs":false,"family":"Suresh","given":"P.","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":850119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236112,"text":"70236112 - 2011 - Vadose zone controls on weathering intensity and depth: Observations from grussic saprolites","interactions":[],"lastModifiedDate":"2022-08-29T15:55:57.327952","indexId":"70236112","displayToPublicDate":"2011-03-22T10:51:19","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Vadose zone controls on weathering intensity and depth: Observations from grussic saprolites","docAbstract":"<p><span>An investigation of vadose zone weathering processes has been undertaken on grussic saprolites developed on Californian granitoids. Preliminary results indicate strong climatic control, through infiltration, on the depth and intensity of weathering. At sites with higher infiltration, the vadose zone is comprehensively altered to grussic saprolite and saprock. Conversely, lower infiltration sites display only thin grussic saprolites, strongly influenced by rock texture. Both vadose zone and weathering depth appear to be governed by local base level, and vadose zone hydrology exerts a fundamental control on the effective operation and relative dominance of the key weathering reactions. In zones of matrix permeability, oxidation of biotite comprehensively disaggregates the rock but results in little mass loss and clay mineral formation. Conversely, the higher transient flow rates that characterize zones of fracture permeability result in plagioclase hydrolysis, significant mass losses and accompanying clay mineral formation. A variable hydrological regime may also contribute to high partial pressures of O</span><sub>2</sub><span>&nbsp;in vadose zone pore waters and pore spaces, thereby enhancing the oxidative environment and further predisposing grussic saprolite formation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2011.03.023","usgsCitation":"Goodfellow, B.W., Hilley, G., and Schulz, M., 2011, Vadose zone controls on weathering intensity and depth: Observations from grussic saprolites: Applied Geochemistry, v. 26, no. Supplement, p. S36-S39, https://doi.org/10.1016/j.apgeochem.2011.03.023.","productDescription":"4 p.","startPage":"S36","endPage":"S39","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":405797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"Supplement","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goodfellow, B. W.","contributorId":295907,"corporation":false,"usgs":false,"family":"Goodfellow","given":"B.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":850114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, G.E.","contributorId":40396,"corporation":false,"usgs":false,"family":"Hilley","given":"G.E.","affiliations":[],"preferred":false,"id":850115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Marjorie S. 0000-0001-5597-6447 mschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-6447","contributorId":3720,"corporation":false,"usgs":true,"family":"Schulz","given":"Marjorie S.","email":"mschulz@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":850116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70069341,"text":"70069341 - 2011 - Volcanology curricula development aided by online educational resource","interactions":[],"lastModifiedDate":"2018-10-30T09:40:12","indexId":"70069341","displayToPublicDate":"2011-03-22T10:11:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1578,"text":"Eos, Transactions, American Geophysical Union","onlineIssn":"2324-9250","printIssn":"0096-394","active":true,"publicationSubtype":{"id":10}},"title":"Volcanology curricula development aided by online educational resource","docAbstract":"Volcanic activity is an excellent hook for engaging college and university students in geoscience classes. An increasing number of Internet-accessible real-time and near–real time volcano monitoring data are now available and constitute an important resource for geoscience education; however, relatively few data sets are comprehensive, and many lack background information to aid in interpretation. In response to the need for organized, accessible, and well-documented volcano education resources, the U.S. Geological Survey's Hawaiian Volcano Observatory (HVO), in collaboration with NASA and the University of Hawai`i at Manoa, established the Volcanoes Exploration Project: Pu`u `Ō`ō (VEPP). The VEPP Web site (http://vepp.wr.usgs.gov) is an educational resource that provides access, in near real time, to geodetic, seismic, and geologic data from the active Pu`u `Ō`ō eruptive vent on Kilauea volcano, Hawaii, along with background and context information. A strength of the VEPP site is the common theme of the Pu`u `Ō`ō eruption, which allows the site to be revisited multiple times to demonstrate different principles and integrate many aspects of volcanology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Eos, Transactions American Geophysical Union","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2011EO120006","usgsCitation":"Poland, M., van der Hoeven Kraft, K.J., and Teasdale, R., 2011, Volcanology curricula development aided by online educational resource: Eos, Transactions, American Geophysical Union, v. 92, no. 12, p. 101-101, https://doi.org/10.1029/2011EO120006.","productDescription":"1 p.","startPage":"101","endPage":"101","ipdsId":"IP-024804","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":281988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281987,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011EO120006"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hawai`i Volcanoes National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.798371,19.058221 ], [ -155.798371,19.547589 ], [ -155.016307,19.547589 ], [ -155.016307,19.058221 ], [ -155.798371,19.058221 ] ] ] } } ] }","volume":"92","issue":"12","noUsgsAuthors":false,"publicationDate":"2011-03-22","publicationStatus":"PW","scienceBaseUri":"53cd7b38e4b0b2908510dfe6","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":488257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Hoeven Kraft, Katrien J.","contributorId":10330,"corporation":false,"usgs":true,"family":"van der Hoeven Kraft","given":"Katrien","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":488258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teasdale, Rachel","contributorId":102388,"corporation":false,"usgs":false,"family":"Teasdale","given":"Rachel","email":"","affiliations":[],"preferred":false,"id":488259,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99109,"text":"sir20115013 - 2011 - Arsenic and uranium in water from private wells completed in bedrock of east-central Massachusetts: Concentrations, correlations with bedrock units, and estimated probability maps","interactions":[],"lastModifiedDate":"2024-01-12T21:04:12.02059","indexId":"sir20115013","displayToPublicDate":"2011-03-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5013","title":"Arsenic and uranium in water from private wells completed in bedrock of east-central Massachusetts: Concentrations, correlations with bedrock units, and estimated probability maps","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115013","collaboration":"Prepared in cooperation with the\r\nMassachusetts Department of Environmental Protection and the\r\nMassachusetts Department of Public Health","usgsCitation":"Colman, J.A., 2011, Arsenic and uranium in water from private wells completed in bedrock of east-central Massachusetts: Concentrations, correlations with bedrock units, and estimated probability maps: U.S. Geological Survey Scientific Investigations Report 2011-5013, vi, 112 p., https://doi.org/10.3133/sir20115013.","productDescription":"vi, 112 p.","additionalOnlineFiles":"N","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":424391,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95081.htm","linkFileType":{"id":5,"text":"html"}},{"id":14560,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5013/","linkFileType":{"id":5,"text":"html"}},{"id":116613,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5013.bmp"}],"scale":"250000","country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.1894,\n              42.8889\n            ],\n            [\n              -72.1894,\n              42.0222\n            ],\n            [\n              -70.7944,\n              42.0222\n            ],\n            [\n              -70.7944,\n              42.8889\n            ],\n            [\n              -72.1894,\n              42.8889\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abce4b07f02db672dc0","contributors":{"authors":[{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307588,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99110,"text":"cir1367 - 2011 - U.S. Geological Survey Fundamental Science Practices","interactions":[],"lastModifiedDate":"2012-02-02T00:04:07","indexId":"cir1367","displayToPublicDate":"2011-03-22T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1367","title":"U.S. Geological Survey Fundamental Science Practices","docAbstract":"The USGS has a long and proud tradition of objective, unbiased science in service to the Nation. A reputation for impartiality and excellence is one of our most important assets. To help preserve this vital asset, in 2004 the Executive Leadership Team (ELT) of the USGS was charged by the Director to develop a set of fundamental science practices, philosophical premises, and operational principles as the foundation for all USGS research and monitoring activities. In a concept document, 'Fundamental Science Practices of the U.S. Geological Survey', the ELT proposed 'a set of fundamental principles to underlie USGS science practices.' The document noted that protecting the reputation of USGS science for quality and objectivity requires the following key elements: - Clearly articulated, Bureau-wide fundamental science practices. - A shared understanding at all levels of the organization that the health and future of the USGS depend on following these practices. - The investment of budget, time, and people to ensure that the USGS reputation and high-quality standards are maintained. The USGS Fundamental Science Practices (FSP) encompass all elements of research investigations, including data collection, experimentation, analysis, writing results, peer review, management review, and Bureau approval and publication of information products. The focus of FSP is on how science is carried out and how products are produced and disseminated. FSP is not designed to address the question of what work the USGS should do; that is addressed in USGS science planning handbooks and other documents. Building from longstanding existing USGS policies and the ELT concept document, in May 2006, FSP policies were developed with input from all parts of the organization and were subsequently incorporated into the Bureau's Survey Manual. In developing an implementation plan for FSP policy, the intent was to recognize and incorporate the best of USGS current practices to obtain the optimum overall program for our science. In January 2009, the USGS moved to full implementation of FSP. The FSP Advisory Committee (FSPAC) was formed to serve as the Bureau's working and standing committee to ensure the objectivity and quality of the Bureau's science information products and to provide support for the full implementation of FSP.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/cir1367","usgsCitation":"Fundamental Science Practices Advisory Committee, 2011, U.S. Geological Survey Fundamental Science Practices: U.S. Geological Survey Circular 1367, 8 p., https://doi.org/10.3133/cir1367.","productDescription":"8 p.","additionalOnlineFiles":"N","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":116748,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1367.jpg"},{"id":14561,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1367/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db6961f2","contributors":{"authors":[{"text":"Fundamental Science Practices Advisory Committee","contributorId":128236,"corporation":true,"usgs":false,"organization":"Fundamental Science Practices Advisory Committee","id":535049,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173463,"text":"70173463 - 2011 - Using multilevel models to quantify heterogeneity in resource selection","interactions":[],"lastModifiedDate":"2024-05-08T16:46:32.483269","indexId":"70173463","displayToPublicDate":"2011-03-21T13:30:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using multilevel models to quantify heterogeneity in resource selection","docAbstract":"<p><span>Models of resource selection are being used increasingly to predict or model the effects of management actions rather than simply quantifying habitat selection. Multilevel, or hierarchical, models are an increasingly popular method to analyze animal resource selection because they impose a relatively weak stochastic constraint to model heterogeneity in habitat use and also account for unequal sample sizes among individuals. However, few studies have used multilevel models to model coefficients as a function of predictors that may influence habitat use at different scales or quantify differences in resource selection among groups. We used an example with white-tailed deer (</span><i>Odocoileus virginianus</i><span>) to illustrate how to model resource use as a function of distance to road that varies among deer by road density at the home range scale. We found that deer avoidance of roads decreased as road density increased. Also, we used multilevel models with sika deer (</span><i>Cervus nippon</i><span>) and white-tailed deer to examine whether resource selection differed between species. We failed to detect differences in resource use between these two species and showed how information-theoretic and graphical measures can be used to assess how resource use may have differed. Multilevel models can improve our understanding of how resource selection varies among individuals and provides an objective, quantifiable approach to assess differences or changes in resource selection. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.212","usgsCitation":"Wagner, T., Diefenbach, D.R., Christensen, S., and Norton, A.S., 2011, Using multilevel models to quantify heterogeneity in resource selection: Journal of Wildlife Management, v. 75, no. 8, p. 1788-1796, https://doi.org/10.1002/jwmg.212.","productDescription":"9 p.","startPage":"1788","endPage":"1796","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024863","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323917,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d38d3be4b0236b68f98eea","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":685560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Sonja","contributorId":171608,"corporation":false,"usgs":false,"family":"Christensen","given":"Sonja","email":"","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":685561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":685562,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70004308,"text":"70004308 - 2011 - In-stream water-quality estimation: Case studies in real-time stream and lake monitoring in the central USA","interactions":[],"lastModifiedDate":"2021-10-06T18:17:57.919252","indexId":"70004308","displayToPublicDate":"2011-03-21T12:38:37","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"In-stream water-quality estimation: Case studies in real-time stream and lake monitoring in the central USA","docAbstract":"Five U.S. Geological Survey case studies in real-time stream and lake monitoring are presented. 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Center","active":true,"usgs":true}],"preferred":true,"id":824758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":824759,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":99108,"text":"sir20115032 - 2011 - Potential effects of groundwater pumping on water levels, phreatophytes, and spring discharges in Spring and Snake Valleys, White Pine County, Nevada, and adjacent areas in Nevada and Utah","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sir20115032","displayToPublicDate":"2011-03-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5032","title":"Potential effects of groundwater pumping on water levels, phreatophytes, and spring discharges in Spring and Snake Valleys, White Pine County, Nevada, and adjacent areas in Nevada and Utah","docAbstract":"Assessing hydrologic effects of developing groundwater supplies in Snake Valley required numerical, groundwater-flow models to estimate the timing and magnitude of capture from streams, springs, wetlands, and phreatophytes. Estimating general water-table decline also required groundwater simulation. The hydraulic conductivity of basin fill and transmissivity of basement-rock distributions in Spring and Snake Valleys were refined by calibrating a steady state, three-dimensional, MODFLOW model of the carbonate-rock province to predevelopment conditions. Hydraulic properties and boundary conditions were defined primarily from the Regional Aquifer-System Analysis (RASA) model except in Spring and Snake Valleys. This locally refined model was referred to as the Great Basin National Park calibration (GBNP-C) model. Groundwater discharges from phreatophyte areas and springs in Spring and Snake Valleys were simulated as specified discharges in the GBNP-C model. These discharges equaled mapped rates and measured discharges, respectively.\r\nRecharge, hydraulic conductivity, and transmissivity were distributed throughout Spring and Snake Valleys with pilot points and interpolated to model cells with kriging in geologically similar areas. Transmissivity of the basement rocks was estimated because thickness is correlated poorly with transmissivity. Transmissivity estimates were constrained by aquifer-test results in basin-fill and carbonate-rock aquifers.\r\nRecharge, hydraulic conductivity, and transmissivity distributions of the GBNP-C model were estimated by minimizing a weighted composite, sum-of-squares objective function that included measurement and Tikhonov regularization observations. Tikhonov regularization observations were equations that defined preferred relations between the pilot points. Measured water levels, water levels that were simulated with RASA, depth-to-water beneath distributed groundwater and spring discharges, land-surface altitudes, spring discharge at Fish Springs, and changes in discharge on selected creek reaches were measurement observations.\r\nThe effects of uncertain distributed groundwater-discharge estimates in Spring and Snake Valleys on transmissivity estimates were bounded with alternative models. Annual distributed groundwater discharges from Spring and Snake Valleys in the alternative models totaled 151,000 and 227,000 acre-feet, respectively and represented 20 percent differences from the 187,000 acre-feet per year that discharges from the GBNP-C model. Transmissivity estimates in the basin fill between Baker and Big Springs changed less than 50 percent between the two alternative models.\r\nPotential effects of pumping from Snake Valley were estimated with the Great Basin National Park predictive (GBNP-P) model, which is a transient groundwater-flow model. The hydraulic conductivity of basin fill and transmissivity of basement rock were the GBNP-C model distributions. Specific yields were defined from aquifer tests. Captures of distributed groundwater and spring discharges were simulated in the GBNP-P model using a combination of well and drain packages in MODFLOW. Simulated groundwater captures could not exceed measured groundwater-discharge rates.\r\nFour groundwater-development scenarios were investigated where total annual withdrawals ranged from 10,000 to 50,000 acre-feet during a 200-year pumping period. Four additional scenarios also were simulated that added the effects of existing pumping in Snake Valley. Potential groundwater pumping locations were limited to nine proposed points of diversion. Results are presented as maps of groundwater capture and drawdown, time series of drawdowns and discharges from selected wells, and time series of discharge reductions from selected springs and control volumes.\r\nSimulated drawdown propagation was attenuated where groundwater discharge could be captured. General patterns of groundwater capture and water-table declines were similar for all scenarios. Simulated drawdowns greater than 1 ft propagated outside of Spring and Snake Valleys after 200 years of pumping in all scenarios.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20115032","collaboration":"Prepared in cooperation with the National Park Service\r\n","usgsCitation":"Halford, K.J., and Plume, R.W., 2011, Potential effects of groundwater pumping on water levels, phreatophytes, and spring discharges in Spring and Snake Valleys, White Pine County, Nevada, and adjacent areas in Nevada and Utah: U.S. Geological Survey Scientific Investigations Report 2011-5032, vi, 50 p.; Appendixes A-G ZIP; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E; Appendix F; Appendix G; Appendix H, https://doi.org/10.3133/sir20115032.","productDescription":"vi, 50 p.; Appendixes A-G ZIP; Appendix A; Appendix B; Appendix C; Appendix D; Appendix E; Appendix F; Appendix G; Appendix H","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":116772,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5032.jpg"},{"id":14559,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5032/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,35 ], [ -117,42 ], [ -111,42 ], [ -111,35 ], [ -117,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4c63","contributors":{"authors":[{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plume, Russell W. rwplume@usgs.gov","contributorId":2303,"corporation":false,"usgs":true,"family":"Plume","given":"Russell","email":"rwplume@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":307587,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99107,"text":"fs20113023 - 2011 - The USA National Phenology Network; taking the pulse of our planet","interactions":[],"lastModifiedDate":"2012-02-02T00:15:53","indexId":"fs20113023","displayToPublicDate":"2011-03-20T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3023","title":"The USA National Phenology Network; taking the pulse of our planet","docAbstract":"People have tracked phenology for centuries and for the most practical reasons: it helped them know when to hunt and fish, when to plant and harvest crops, and when to navigate waterways. Now phenology is being used as a tool to assess climate change and its effects on both natural and modified ecosystems. \r\n\r\nHow is the timing of events in plant and animal life cycles, like flowering or migration, responding to climate change? And how are those responses, in turn, affecting people and ecosystems? \r\n\r\nThe USA National Phenology Network (the Network) is working to answer these questions for science and society by promoting a broad understanding of plant and animal phenology and their relationship to environmental change. The Network is a consortium of organizations and individuals that collect, share, and use phenology data, models, and related information to enable scientists, resource managers, and the public to adapt in response to changing climates and environments. In addition, the Network encourages people of all ages and backgrounds to observe and record phenology as a way to discover and explore the nature and pace of our dynamic world. \r\n\r\nThe National Coordinating Office (NCO) of the Network is a resource center that facilitates and encourages widespread collection, integration, and sharing of phenology data and related information (for example, meteorological and hydrological data). The NCO develops and promotes standardized methods for field data collection and maintains several online user interfaces for data upload and download, as well as data exploration, visualization, and analysis. The NCO also facilitates basic and applied research related to phenology, the development of decision-support tools for resource managers and planners, and the design of educational and outreach materials \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113023","collaboration":"USA National Phenology Network \r\n","usgsCitation":"Weltzin, J., 2011, The USA National Phenology Network; taking the pulse of our planet: U.S. Geological Survey Fact Sheet 2011-3023, 4 p., https://doi.org/10.3133/fs20113023.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":116538,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3023.gif"},{"id":14558,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3023/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672882","contributors":{"authors":[{"text":"Weltzin, Jake F.","contributorId":51005,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","affiliations":[],"preferred":false,"id":307585,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99105,"text":"ofr20111035 - 2011 - Geophysical investigation of Red Devil mine using direct-current resistivity and electromagnetic induction, Red Devil, Alaska, August 2010","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ofr20111035","displayToPublicDate":"2011-03-19T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1035","title":"Geophysical investigation of Red Devil mine using direct-current resistivity and electromagnetic induction, Red Devil, Alaska, August 2010","docAbstract":"Red Devil Mine, located in southwestern Alaska near the Village of Red Devil, was the state's largest producer of mercury and operated from 1933 to 1971. Throughout the lifespan of the mine, various generations of mills and retort buildings existed on both sides of Red Devil Creek, and the tailings and waste rock were deposited across the site. The mine was located on public Bureau of Land Management property, and the Bureau has begun site remediation by addressing mercury, arsenic, and antimony contamination caused by the minerals associated with the ore deposit (cinnabar, stibnite, realgar, and orpiment). \r\n\r\nIn August 2010, the U.S. Geological Survey completed a geophysical survey at the site using direct-current resistivity and electromagnetic induction surface methods. Eight two-dimensional profiles and one three-dimensional grid of direct-current resistivity data as well as about 5.7 kilometers of electromagnetic induction profile data were acquired across the site. On the basis of the geophysical data and few available soil borings, there is not sufficient electrical or electromagnetic contrast to confidently distinguish between tailings, waste rock, and weathered bedrock. A water table is interpreted along the two-dimensional direct-current resistivity profiles based on correlation with monitoring well water levels and a relatively consistent decrease in resistivity typically at 2-6 meters depth. \r\n\r\nThree settling ponds used in the last few years of mine operation to capture silt and sand from a flotation ore processing technique possessed conductive values above the interpreted water level but more resistive values below the water level. The cause of the increased resistivity below the water table is unknown, but the increased resistivity may indicate that a secondary mechanism is affecting the resistivity structure under these ponds if the depth of the ponds is expected to extend below the water level. The electromagnetic induction data clearly identified the three monofills and indicate, in conjunction with the three-dimensional resistivity data, additional possible landfill features on the north side of Red Devil Creek. \r\n\r\nNo obvious shallow feature was identified as a possible source for a spring that is feeding into Red Devil Creek from the north bank. However, a discrete, nearly vertical conductive feature observed on the direct-current resistivity line that passes within 5 meters of the spring may be worth investigating. Additional deep soil borings that better differentiate between tailings, waste rock, and weathered bedrock may be very useful in more confidently identifying these rock types in the direct-current resistivity data. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20111035","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Burton, B., and Ball, L.B., 2011, Geophysical investigation of Red Devil mine using direct-current resistivity and electromagnetic induction, Red Devil, Alaska, August 2010: U.S. Geological Survey Open-File Report 2011-1035, x, 52 p.; Appendices, https://doi.org/10.3133/ofr20111035.","productDescription":"x, 52 p.; Appendices","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2010-08-01","temporalEnd":"2010-08-31","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":126180,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1035.png"},{"id":14556,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1035/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.31666666666666,61.75083333333333 ], [ -157.31666666666666,61.75111111111111 ], [ -157.3011111111111,61.75111111111111 ], [ -157.3011111111111,61.75083333333333 ], [ -157.31666666666666,61.75083333333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67c14d","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":307581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":307580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99103,"text":"ds69X - 2011 - Geologic assessment of undiscovered hydrocarbon resources of the Western Oregon and Washington Province","interactions":[],"lastModifiedDate":"2012-02-02T00:15:52","indexId":"ds69X","displayToPublicDate":"2011-03-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69","chapter":"X","title":"Geologic assessment of undiscovered hydrocarbon resources of the Western Oregon and Washington Province","docAbstract":"The purpose of the U.S. Geological Survey (USGS) National Oil and Gas Assessment is to develop geology-based hypotheses regarding the potential for additions to oil and gas reserves in priority areas of the United States, focusing on the distribution, quantity, and availability of oil and natural gas resources. The USGS has completed an assessment of the undiscovered, technically recoverable oil and gas resources in western Oregon and Washington (USGS Western Oregon and Washington Province 5004). The province includes all of Oregon and Washington north of the Klamath Mountains and west of the crest of the Cascade Range, and extends offshore to the 3-mi limit of State waters on the west and to the International Boundary in the Straits of Juan de Fuca and Canada on the north. It measures about 450 mi north-south and 50 to 160 mi east-west, encompassing more than 51,000 mi2.\r\n\r\nThe assessment of the Western Oregon and Washington Province is geology based and used the total petroleum system (TPS) concept. The geologic elements of a TPS include hydrocarbon source rocks (source rock maturation and hydrocarbon generation and migration), reservoir rocks (quality and distribution), and traps for hydrocarbon accumulation. Using these geologic criteria, two conventional and one unconventional (continuous) total petroleum systems were defined, with one assessment unit (AU) in each TPS: (1) the Cretaceous-Tertiary Composite TPS and the Western Oregon and Washington Conventional Gas AU, (2) the Tertiary Marine TPS and the Tertiary-Marine Gas AU, and (3) the Tertiary Coalbed Gas TPS and the Eocene Coalbed Gas AU, in which a cell-based methodology was used to estimate coalbed-gas resources. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds69X","usgsCitation":"U.S. Geologic Survey Western Oregon and Washington Province Team, Brownfield, M.E., Charpentier, R., Cook, T.A., Klett, T., Pollastro, R.M., Schenk, C.J., Le, P., and GIS Spatial Data Team, 2011, Geologic assessment of undiscovered hydrocarbon resources of the Western Oregon and Washington Province: U.S. Geological Survey Data Series 69, HTML site and CD-ROM; ReadMe file; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Spatial Data, https://doi.org/10.3133/ds69X.","productDescription":"HTML site and CD-ROM; ReadMe file; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Spatial Data","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":514,"text":"Oil Shale Assessment Team","active":false,"usgs":true}],"links":[{"id":116975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_69_x.png"},{"id":14554,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-x/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4d4f","contributors":{"authors":[{"text":"U.S. Geologic Survey Western Oregon and Washington Province Team","contributorId":128285,"corporation":true,"usgs":false,"organization":"U.S. Geologic Survey Western Oregon and Washington Province Team","id":535048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":307574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":709,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pollastro, Richard M.","contributorId":25100,"corporation":false,"usgs":true,"family":"Pollastro","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":307573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307570,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le, P. A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":64737,"corporation":false,"usgs":true,"family":"Le","given":"P. A.","affiliations":[],"preferred":false,"id":307575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"GIS Spatial Data Team","contributorId":128232,"corporation":true,"usgs":false,"organization":"GIS Spatial Data Team","id":535047,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":99102,"text":"sim3147 - 2011 - Potentiometric surface in the Central Oklahoma (Garber-Wellington) aquifer, Oklahoma, 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:39","indexId":"sim3147","displayToPublicDate":"2011-03-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3147","title":"Potentiometric surface in the Central Oklahoma (Garber-Wellington) aquifer, Oklahoma, 2009","docAbstract":"A study of the hydrogeology of the Central Oklahoma aquifer was started in 2008 to provide the Oklahoma Water Resources Board (OWRB) hydrogeologic data and a groundwater flow model that can be used as a tool to help manage the aquifer. The 1973 Oklahoma water law requires the OWRB to do hydrologic investigations of Oklahoma's aquifers (termed 'groundwater basins') and to determine amounts of water that may be withdrawn by permitted water users. 'Maximum annual yield' is a term used by OWRB to describe the total amount of water that can be withdrawn from a specific aquifer in any year while allowing a minimum 20-year life of the basin (Oklahoma Water Resources Board, 2010). Currently (2010), the maximum annual yield has not been determined for the Central Oklahoma aquifer. Until the maximum annual yield determination is made, water users are issued a temporary permit by the OWRB for 2 acre-feet/acre per year. The objective of the study, in cooperation with the Oklahoma Water Resources Board, was to study the hydrogeology of the Central Oklahoma aquifer to provide information that will enable the OWRB to determine the maximum annual yield of the aquifer based on different proposed management plans. Groundwater flow models are typically used by the OWRB as a tool to help determine the maximum annual yield.\r\n\r\nThis report presents the potentiometric surface of the Central Oklahoma aquifer based on water-level data collected in 2009 as part of the current (2010) hydrologic study. The U.S. Geological Survey (USGS) Hydrologic Investigations Atlas HA-724 by Christenson and others (1992) presents the 1986-87 potentiometric-surface map. This 1986-87 potentiometric-surface map was made as part of the USGS National Water-Quality Assessment pilot project for the Central Oklahoma aquifer that examined the geochemical and hydrogeological processes operating in the aquifer. An attempt was made to obtain water-level measurements for the 2009 potentiometric-surface map from the wells used for the 1986-87 potentiometric-surface map. Well symbols with circles on the 2009 potentiometric-surface map (fig. 1) indicate wells that were used for the 1986-87 potentiometric-surface map. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3147","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Mashburn, S.L., and Magers, J., 2011, Potentiometric surface in the Central Oklahoma (Garber-Wellington) aquifer, Oklahoma, 2009: U.S. Geological Survey Scientific Investigations Map 3147, Map Sheet: 25.02 inches x 28 inches, https://doi.org/10.3133/sim3147.","productDescription":"Map Sheet: 25.02 inches x 28 inches","additionalOnlineFiles":"N","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3147.gif"},{"id":14553,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3147/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.75,34.75 ], [ -97.75,36 ], [ -96.5,36 ], [ -96.5,34.75 ], [ -97.75,34.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bfe4","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":307567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magers, Jessica","contributorId":36667,"corporation":false,"usgs":true,"family":"Magers","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":307568,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9001060,"text":"fs20113017 - 2011 - Using terrestrial light detection and ranging (lidar) technology for land-surface analysis in the Southwest","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"fs20113017","displayToPublicDate":"2011-03-18T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3017","title":"Using terrestrial light detection and ranging (lidar) technology for land-surface analysis in the Southwest","docAbstract":"Emerging technologies provide scientists with methods to measure Earth processes in new ways. One of these technologies--ultra-high-resolution, ground-based light detection and ranging (lidar)--is being used by USGS Western Geographic Science Center scientists to characterize the role of wind and fire processes in shaping desert landscapes of the Southwest United States.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113017","collaboration":"RESEARCH AT THE USGS WESTERN GEOGRAPHIC SCIENCE CENTER\r\n","usgsCitation":"Soulard, C.E., and Bogle, R., 2011, Using terrestrial light detection and ranging (lidar) technology for land-surface analysis in the Southwest: U.S. Geological Survey Fact Sheet 2011-3017, 2 p., https://doi.org/10.3133/fs20113017.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":116482,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3017.gif"},{"id":19229,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2011/3017/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49cae4b07f02db5d7f10","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":344432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogle, Rian rbogle@usgs.gov","contributorId":1915,"corporation":false,"usgs":true,"family":"Bogle","given":"Rian","email":"rbogle@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":344431,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99100,"text":"sim2927 - 2011 - Geologic map of Medicine Lake volcano, northern California","interactions":[],"lastModifiedDate":"2023-01-17T19:33:33.762105","indexId":"sim2927","displayToPublicDate":"2011-03-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2927","title":"Geologic map of Medicine Lake volcano, northern California","docAbstract":"<p>Medicine Lake volcano forms a broad, seemingly nondescript highland, as viewed from any angle on the ground. Seen from an airplane, however, treeless lava flows are scattered across the surface of this potentially active volcanic edifice. Lavas of Medicine Lake volcano, which range in composition from basalt through rhyolite, cover more than 2,000 km<sup>2</sup> east of the main axis of the Cascade Range in northern California. Across the Cascade Range axis to the west-southwest is Mount Shasta, its towering volcanic neighbor, whose stratocone shape contrasts with the broad shield shape of Medicine Lake volcano. Hidden in the center of Medicine Lake volcano is a 7 km by 12 km summit caldera in which nestles its namesake, Medicine Lake. The flanks of Medicine Lake volcano, which are dotted with cinder cones, slope gently upward to the caldera rim, which reaches an elevation of nearly 8,000 ft (2,440 m). The maximum extent of lavas from this half-million-year-old volcano is about 80 km north-south by 45 km east-west. In postglacial time, 17 eruptions have added approximately 7.5 km<sup>3</sup> to its total estimated volume of 600 km<sup>3</sup>, and it is considered to be the largest by volume among volcanoes of the Cascades arc. The volcano has erupted nine times in the past 5,200 years, a rate more frequent than has been documented at all other Cascades arc volcanoes except Mount St. Helens.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2927","usgsCitation":"Donnelly-Nolan, J.M., 2011, Geologic map of Medicine Lake volcano, northern California: U.S. Geological Survey Scientific Investigations Map 2927, Pamphlet: ii, 48 p.; 2 Sheets: 58.0 x 41.3 inches and 58.0 x 40.5 inches; Database, https://doi.org/10.3133/sim2927.","productDescription":"Pamphlet: ii, 48 p.; 2 Sheets: 58.0 x 41.3 inches and 58.0 x 40.5 inches; Database","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":619,"text":"Volcano Science Center-Menlo Park","active":false,"usgs":true}],"links":[{"id":116972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_2927.jpg"},{"id":338950,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/2927/sim2927_data/","text":"Database site"},{"id":338949,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2927/sim2927_sheet2.pdf","text":"Sheet 2","linkFileType":{"id":1,"text":"pdf"}},{"id":338948,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2927/sim2927_sheet1.pdf","text":"Sheet 1","linkFileType":{"id":1,"text":"pdf"}},{"id":338947,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2927/sim2927_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"}},{"id":14552,"rank":6,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2927/","linkFileType":{"id":5,"text":"html"}},{"id":411977,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_95057.htm","linkFileType":{"id":5,"text":"html"}}],"scale":"50000","country":"United States","state":"California","otherGeospatial":"Medicine Lake Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.8161,\n              41.0036\n            ],\n            [\n              -121.8161,\n              41.8883\n            ],\n            [\n              -121.25,\n              41.8883\n            ],\n            [\n              -121.25,\n              41.0036\n            ],\n            [\n              -121.8161,\n              41.0036\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b0be4b07f02db69d93c","contributors":{"authors":[{"text":"Donnelly-Nolan, Julie M. 0000-0001-8714-9606 jdnolan@usgs.gov","orcid":"https://orcid.org/0000-0001-8714-9606","contributorId":3271,"corporation":false,"usgs":true,"family":"Donnelly-Nolan","given":"Julie","email":"jdnolan@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":307566,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":99099,"text":"fs20113032 - 2011 - Drilling a deep geologic test well at Hilton Head Island, South Carolina","interactions":[],"lastModifiedDate":"2016-12-07T11:05:32","indexId":"fs20113032","displayToPublicDate":"2011-03-17T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3032","title":"Drilling a deep geologic test well at Hilton Head Island, South Carolina","docAbstract":"The U.S. Geological Survey, in cooperation with the South Carolina Department of Health and Environmental Control (SCDHEC), is drilling a deep geologic test well at Hilton Head Island, S.C. The test well is scheduled to run between mid-March and early May 2011. When completed, the well will be about 1,000 feet deep. The purpose of this test well is to gain knowledge about the regional-scale Floridan aquifer, an important source of groundwater in the Hilton Head area. 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,{"id":9000748,"text":"gip122 - 2011 - Ocean acidification postcards","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"gip122","displayToPublicDate":"2011-03-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"122","title":"Ocean acidification postcards","docAbstract":"The U.S. Geological Survey (USGS) is conducting research on ocean acidification in polar, temperate, subtropical, and tropical regions including the Arctic, West Florida Shelf, and the Caribbean. Project activities include field assessment, experimental laboratory studies, and evaluation of existing data. The USGS is participating in international and interagency working groups to develop research strategies to increase understanding of the global implications of ocean acidification. Research strategies include new approaches for seawater chemistry observation and modeling, assessment of physiological effects on organisms, changes in marine ecosystem structure, new technologies, and information resources. These postcards highlight ongoing USGS research efforts in ocean acidification and carbon cycling in marine and coastal ecosystems in three different regions: polar, temperate, and tropical. To learn more about ocean acidification visit: http://coastal.er.usgs.gov/ocean-acidification/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip122","usgsCitation":"Schreppel, H.A., and Cimitile, M.J., 2011, Ocean acidification postcards: U.S. Geological Survey General Information Product 122, 3 p.; 8.5 inches x 11 inches, https://doi.org/10.3133/gip122.","productDescription":"3 p.; 8.5 inches x 11 inches","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116971,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_122.jpg"},{"id":19227,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/122/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696159","contributors":{"authors":[{"text":"Schreppel, Heather A. hschreppel@usgs.gov","contributorId":673,"corporation":false,"usgs":true,"family":"Schreppel","given":"Heather","email":"hschreppel@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cimitile, Matthew J.","contributorId":78453,"corporation":false,"usgs":true,"family":"Cimitile","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344428,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":9000747,"text":"gip124 - 2011 - Lidar postcards","interactions":[],"lastModifiedDate":"2012-02-02T00:15:51","indexId":"gip124","displayToPublicDate":"2011-03-16T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"124","title":"Lidar postcards","docAbstract":"The U.S. Geological Survey (USGS) Coastal and Marine Geology Program develops and uses specialized technology to build high-resolution topographic and habitat maps. High-resolution maps of topography, bathymetry, and habitat describe important features affected by coastal-management decisions. The mapped information serves as a baseline for evaluating resources and tracking the effectiveness of resource- and conservation-management decisions. These data products are critical to researchers, decision makers, resource managers, planners, and the public. To learn more about Lidar (light detection and ranging) technology visit: http://ngom.usgs.gov/dsp/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip124","usgsCitation":"Schreppel, H.A., and Cimitile, M.J., 2011, Lidar postcards: U.S. Geological Survey General Information Product 124, 4 p.; 8.5 inches x 11 inches, https://doi.org/10.3133/gip124.","productDescription":"4 p.; 8.5 inches x 11 inches","numberOfPages":"4","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116970,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/gip_124.jpg"},{"id":19226,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/124/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a54c7","contributors":{"authors":[{"text":"Schreppel, Heather A. hschreppel@usgs.gov","contributorId":673,"corporation":false,"usgs":true,"family":"Schreppel","given":"Heather","email":"hschreppel@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":344425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cimitile, Matthew J.","contributorId":78453,"corporation":false,"usgs":true,"family":"Cimitile","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":344426,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":99095,"text":"gip123 - 2011 - Science supporting Gulf of Mexico oil-spill response, mitigation, and restoration activities-Assessment, monitoring, mapping, and coordination","interactions":[],"lastModifiedDate":"2023-05-11T11:23:00.649371","indexId":"gip123","displayToPublicDate":"2011-03-15T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"123","title":"Science supporting Gulf of Mexico oil-spill response, mitigation, and restoration activities-Assessment, monitoring, mapping, and coordination","docAbstract":"The St. Petersburg Coastal and Marine Science Center of the U.S. Geological Survey (USGS) investigates physical processes related to coastal and marine environments and societal implications related to natural hazards, resource sustainability, and environmental change. Immediately after the Deepwater Horizon event, the USGS began responding to data requests, directing response personnel, and providing coastal and shelf geophysical data to coastal-resource managers. The USGS provided oil-spill responders with up-to-date coastal bathymetry, geologic data, and maps characterizing vulnerability and levels of risk from potential spill impacts in Louisiana, Mississippi, and Alabama. Baseline conditions prior to any spill impacts were documented through programs that included shoreline sampling and sediment coring from east Texas to the east coast of Florida and aerial photography of many environmentally sensitive Gulf coastal areas. The USGS responded to numerous verbal and written data requests from Federal, State, and local partners and academic institutions with USGS scientific staff participating in the Coast Guard Unified Commands (UC) and Operational Science Advisory Teams (OSAT). The USGS conducted technical review of reports and plans for many response activities. Oil-spill responders, managers, and personnel on the ground, including partners such as the National Park Service, Gulf Islands National Seashore, Chandeleur Islands Refuge, and State agencies, continue to rely on USGS products.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip123","usgsCitation":"Kindinger, J., Tihansky, A.B., and Cimitile, M., 2011, Science supporting Gulf of Mexico oil-spill response, mitigation, and restoration activities-Assessment, monitoring, mapping, and coordination: U.S. Geological Survey General Information Product 123, 4 p., https://doi.org/10.3133/gip123.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":595,"text":"U.S. Geological 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,{"id":99093,"text":"ds579 - 2011 - Data for giant constrictors - Biological management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the boa constrictor","interactions":[],"lastModifiedDate":"2012-02-02T00:15:52","indexId":"ds579","displayToPublicDate":"2011-03-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"579","title":"Data for giant constrictors - Biological management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the boa constrictor","docAbstract":"Giant Constrictors' Climate Space\r\nThe giant constrictors' climate space data set represents the information needed to recreate the climate space and climate matching analyses in Reed and Rodda (2009). A detailed methodology and results are included in that report. The data include locations for nine species of large constrictors including Python molurus, Broghammerus reticulatus, P. sebae, P. natalensis, Boa constrictor, Eunectes notaeus, E. deschauenseei, E. beniensis, and E. murinus. The locations are from published sources. Climate data are included for monthly precipitation and average monthly temperature along with the species locations. The individual spreadsheets of location data match the figures in the Reed and Rodda (2009) report, illustrating areas of the mainland United States that match the climate envelope of the native range.\r\nThe precipitation and temperature data at each location were used to determine the climate space for each species. Graphs of climate space formed the basis for the algorithms in the data set, and more details can be found in Reed and Rodda (2009). These algorithms were used in ArcGIS to generate maps of areas in the United States that matched the climate space of locations of the snakes in their native range. We discovered a rounding error in ArcGIS in the implementation of the algorithms, which has been corrected here. Therefore the shapefiles are slightly different than those appearing in the risk assessment figures illustrating areas of the United States that match the climate envelope of the species in their native ranges. However, the suitable localities are not different at the scale of intended use for these maps, although there are more noticeable differences between areas classified as 'too cold' and 'too hot'. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds579","usgsCitation":"Jarnevich, C., Rodda, G., and Reed, R., 2011, Data for giant constrictors - Biological management profiles and an establishment risk assessment for nine large species of pythons, anacondas, and the boa constrictor: U.S. Geological Survey Data Series 579, Downloads Directory, https://doi.org/10.3133/ds579.","productDescription":"Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":116969,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_579.bmp"},{"id":14544,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/579/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c9bf","contributors":{"authors":[{"text":"Jarnevich, C. S.","contributorId":54932,"corporation":false,"usgs":true,"family":"Jarnevich","given":"C. S.","affiliations":[],"preferred":false,"id":307535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":307536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, R.N. 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":49092,"corporation":false,"usgs":true,"family":"Reed","given":"R.N.","affiliations":[],"preferred":false,"id":307534,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":99094,"text":"fs20113020 - 2011 - Assessment of undiscovered oil and gas resources in Jurassic and Cretaceous strata of the Gulf Coast, 2010","interactions":[],"lastModifiedDate":"2018-07-31T14:05:13","indexId":"fs20113020","displayToPublicDate":"2011-03-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3020","title":"Assessment of undiscovered oil and gas resources in Jurassic and Cretaceous strata of the Gulf Coast, 2010","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 147.4 trillion cubic feet of undiscovered natural gas, 2.4 billion barrels of undiscovered oil, and 2.96 billion barrels of undiscovered natural gas liquids in Jurassic and Cretaceous strata in onshore lands and State waters of the Gulf Coast.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20113020","collaboration":"National Assessment of Oil and Gas Fact Sheet","usgsCitation":"Dubiel, R.F., Warwick, P.D., Swanson, S., Burke, L., Biewick, L., Charpentier, R., Coleman, J.L., Cook, T.A., Dennen, K., Doolan, C.A., Enomoto, C., Hackley, P.C., Karlsen, A.W., Klett, T., Kinney, S.A., Lewan, M., Merrill, M.D., Pearson, K., Pearson, O.N., Pitman, J.K., Pollastro, R.M., Rowan, E.L., Schenk, C.J., and Valentine, B., 2011, Assessment of undiscovered oil and gas resources in Jurassic and Cretaceous strata of the Gulf Coast, 2010: U.S. Geological Survey Fact Sheet 2011-3020, 4 p., https://doi.org/10.3133/fs20113020.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116679,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3020.gif"},{"id":14545,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3020/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,24 ], [ -104,38 ], [ -78,38 ], [ -78,24 ], [ -104,24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d85d","contributors":{"authors":[{"text":"Dubiel, Russell F. 0000-0002-1280-0350 rdubiel@usgs.gov","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":1294,"corporation":false,"usgs":true,"family":"Dubiel","given":"Russell","email":"rdubiel@usgs.gov","middleInitial":"F.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":307545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Sharon 0000-0002-4235-1736","orcid":"https://orcid.org/0000-0002-4235-1736","contributorId":46205,"corporation":false,"usgs":true,"family":"Swanson","given":"Sharon","affiliations":[],"preferred":false,"id":307553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Lauri 0000-0002-2035-8048","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":44891,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","affiliations":[],"preferred":false,"id":307552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biewick, Laura","contributorId":83148,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","affiliations":[],"preferred":false,"id":307558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":307543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coleman, James L. 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,{"id":70236111,"text":"70236111 - 2011 - Insights on the 2009 South Pacific tsunami in Samoa and Tonga from field surveys and numerical simulations","interactions":[],"lastModifiedDate":"2022-08-29T15:49:35.294097","indexId":"70236111","displayToPublicDate":"2011-03-10T10:36:19","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Insights on the 2009 South Pacific tsunami in Samoa and Tonga from field surveys and numerical simulations","docAbstract":"<p><span>An M</span><sub>w</sub><span>&nbsp;</span><span>≈</span><span>&nbsp;</span><span>8.1 earthquake south of the Samoan Islands on 29 September 2009 generated a tsunami that killed 189 people. From 4 to 11 October, an International Tsunami Survey Team surveyed the seven major islands of the Samoan&nbsp;archipelago. The team measured locally focused runup heights of 17</span><span>&nbsp;</span><span>m at Poloa and inundation of more than 500</span><span>&nbsp;</span><span>m at Pago Pago. A follow-up expedition from 23 to 28 November surveying the three main islands of Tonga's northernmost Niua group revealed surprising 22</span><span>&nbsp;</span><span>m runup and 1</span><span>&nbsp;</span><span>km inundation. We analyze the extreme tsunami runup and complex impact distribution based on physical and societal observations combined with numerical modeling. That an outer rise/outer trench slope (OR/OTS) event is responsible for a tsunami disaster in the Pacific calls for care in identifying and defining tsunami hazards. Evacuation exercises conducted in Samoa in the preceding year may have limited the human toll; however, cars were identified as potential death traps during tsunami evacuations. This event highlights the extreme hazards from near source tsunamis when the earthquake's shaking constitutes the de facto warning, and further underscores the importance of community based education and awareness programs as essential in saving lives.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2011.03.004","usgsCitation":"Fritz, H.M., Borrero, J.C., Synolakis, C.E., Okal, E.A., Weiss, R., Titov, V., Jaffe, B.E., Foteinis, S., Lynett, P.J., Chan, I., and Liu, P.L., 2011, Insights on the 2009 South Pacific tsunami in Samoa and Tonga from field surveys and numerical simulations: Earth-Science Reviews, v. 107, no. 1-2, p. 66-75, https://doi.org/10.1016/j.earscirev.2011.03.004.","productDescription":"10 p.","startPage":"66","endPage":"75","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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