The stratigraphy, correlation, mapping, and depositional history of coal-bearing strata in the Paleogene Fort Union and Wasatch Formations in the Powder River Basin were mainly based on measurement and description of outcrops during the early 20th century. Subsequently, the quality and quantity of data improved with (1) exploration and development of oil, gas, and coal during the middle 20th century and (2) the onset of coalbed methane (CBM) development during the late 20th and early 21st centuries that resulted in the drilling of more than 26,000 closely spaced wells with accompanying geophysical logs. The closeness of the data control points, which average 0.5 mi (805 m) apart, made for better accuracy in the subsurface delineation and correlation of coal beds that greatly facilitated the construction of regional stratigraphic cross sections and the assessment of resources.
The drillhole data show that coal beds previously mapped as merged coal zones, such as the Wyodak coal zone in the Wyoming part of the Powder River Basin, gradually thinned into several discontinuous beds and sequentially split into as many as 7 hierarchical orders westward and northward. The thinning and splitting of coal beds in these directions were accompanied by as much as a ten-fold increase in the thicknesses of sandstone-dominated intervals within the Wyodak coal zone. This probably resulted from thrust loading by the eastern front of the Bighorn uplift accompanied by vertical displacement along lineaments that caused subsidence of the western axial part of the Powder River Basin during Laramide deformation in Late Cretaceous and early Tertiary time. Accommodation space was thereby created for synsedimentary alluvial infilling that controlled thickening, thinning, splitting, pinching out, and areal distribution of coal beds. Equally important was differential subsidence between this main accommodation space and adjoining areas, which influenced the overlapping, for example, of the Dietz coal zone in Montana, over the Wyodak coal zone in Wyoming. Correlation in a circular track of the Wyodak coal zone in the southern part of the basin also demonstrates overlapping with lower coal zones. Recognition of this stratigraphic relationship has led to revision of the correlations and nomenclature of coal beds because of inconsistency within these zones as well as those below and above them, which have long been subjects of controversy. Also, it significantly changes the traditional coal bed-to-bed correlations, and estimates of coal and coalbed methane resources of these coal zones due to thinning and pinching out of beds. More notably, thickness isopach, orientation, and distribution of the merged Wyodak coal bodies in the south-southeast part of the basin suggest that differential movement of lineament zones active during the Cretaceous was not a major influence on coal accumulation during the Paleocene.
Improved knowledge of alluvial depositional environments as influenced by external and internal paleotectonic conditions within the Powder River Basin permits more accurate correlation, mapping, and resource estimation of the Fort Union and Wasatch coal beds. The result is a better understanding of the sedimentology of the basin infill deposits in relation to peat bog accumulation.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1777","collaboration":"Available on CD-ROM contact Energy Team CD Distribution","usgsCitation":"Flores, R.M., Spear, B.D., Kinney, S.A., Purchase, P.A., and Gallagher, C.M., 2010, After a century: Revised Paleogene coal stratigraphy, correlation, and deposition, Powder River Basin, Wyoming and Montana: U.S. Geological Survey Professional Paper 1777, Report: vi, 45 p.; Downloads Directory, https://doi.org/10.3133/pp1777.","productDescription":"Report: vi, 45 p.; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":14180,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1777/","linkFileType":{"id":5,"text":"html"}},{"id":203711,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":424389,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94302.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108,43 ], [ -108,47 ], [ -104,47 ], [ -104,43 ], [ -108,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db6899b4","contributors":{"authors":[{"text":"Flores, Romeo M. rflores@usgs.gov","contributorId":71984,"corporation":false,"usgs":true,"family":"Flores","given":"Romeo","email":"rflores@usgs.gov","middleInitial":"M.","affiliations":[{"id":165,"text":"Central Energy Resources Team","active":false,"usgs":true}],"preferred":false,"id":306424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Brianne D.","contributorId":15657,"corporation":false,"usgs":true,"family":"Spear","given":"Brianne","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Purchase, Peter A.","contributorId":77619,"corporation":false,"usgs":true,"family":"Purchase","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallagher, Craig M.","contributorId":97209,"corporation":false,"usgs":true,"family":"Gallagher","given":"Craig","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":306426,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205549,"text":"70205549 - 2010 - Geology and assessment of undiscovered oil and gas resources in Mesozoic (Jurassic and Cretaceous) rocks of the onshore and state waters of the Gulf of Mexico Region, U.S.A","interactions":[],"lastModifiedDate":"2019-09-24T08:08:59","indexId":"70205549","displayToPublicDate":"2010-09-24T07:57:47","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1871,"text":"Gulf Coast Association of Geological Societies Transactions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources in Mesozoic (Jurassic and Cretaceous) Rocks of the Onshore and State Waters of the Gulf of Mexico Region, U.S.A","title":"Geology and assessment of undiscovered oil and gas resources in Mesozoic (Jurassic and Cretaceous) rocks of the onshore and state waters of the Gulf of Mexico Region, U.S.A","docAbstract":"The U.S. Geological Survey (USGS) is in the final phase of the most recent assessment of the undiscovered technically recoverable oil and gas resources of the U.S. Gulf of Mexico coastal plain and state waters. Ongoing geologic, geochemical, and petrophysical framework studies have defined the total petroleum systems and assessment units (AUs) in the Gulf Coast region. Current studies examine the Mesozoic (Jurassic and Cretaceous) source rocks and reservoir units, and recent studies have assessed the undiscovered resources in Tertiary and certain Jurassic and Cretaceous units. The Upper Jurassic and Lower Cretaceous Cotton Valley Group and Lower Cretaceous Hosston and Travis Peak formations, as well as the Upper Cretaceous Taylor and Navarro groups and the Tuscaloosa and Woodbine groups downdip shelf-margin deltas, were assessed in 2006. Tertiary strata were assessed in 2007. Jurassic strata presently under evaluation include the Upper Jurassic Norphlet, Smackover, Haynesville, and Bossier
formations. Lower Cretaceous units to be assessed in the present study include the Knowles Limestone, Sligo Formation, Trinity Group, Fredericksburg Group, and lower
part of the Washita Group. Upper Cretaceous rocks being assessed include the Buda Limestone of the Washita Group, Eagle Ford Group (Eagle Ford shale, and the updip Tuscaloosa and Woodbine groups), Austin Chalk (Group), and Tokio and Eutaw formations. For each AU, a geologic model is developed to define hydrocarbon source, charge, migration, trap, and reservoir, and to estimate technically recoverable undiscovered oil and gas resources. The USGS assessment is focused on evaluating conventional clastic and carbonate deposystems, as well as resource volumes in emerging unconventional gas, shale gas, and shale oil plays currently attracting global attention.
During 2007-08, the U.S. Geological Survey, in cooperation with the U.S. Department of the Army, conducted a study to evaluate the relative age of groundwater in Pre-Wisconsinan till and underlying shallow and deep carbonate bedrock units in and near an area at Jefferson Proving Ground (JPG), southeastern Indiana, which was used during 1984-94 to test fire depleted uranium (DU) penetrators. The shallow carbonate unit includes about the upper 40 feet of bedrock below the bedrock-till surface; the deeper carbonate unit includes wells completed at greater depth. Samples collected during April 2008 from 15 wells were analyzed for field water-quality parameters, dissolved gases, tritium, and chlorofluorocarbon (CFC) compounds; samples from 14 additional wells were analyzed for tritium only. Water-level gradients in the Pre-Wisconsinan till and the shallow carbonate unit were from topographically higher areas toward Big Creek and Middle Fork Creek, and their tributaries. Vertical gradients were strongly downward from the shallow carbonate unit toward the deep carbonate unit at 3 of 4 paired wells where water levels recovered after development; indicating the general lack of flow between the two units. The lack of post development recovery of water levels at 4 other wells in the deep carbonate unit indicate that parts of that unit have no appreciable permeability. CFC and tritium-based age dates of Pre-Wisconsinan till groundwater are consistent with infiltration of younger (typically post-1960 age) recharge that 'mixes' with older recharge from less permeable or less interconnected strata. Part of the recharge to three till wells dated from the early to mid-1980s (JPG-DU-03O, JPG-DU-09O, and JPG-DU-10O). Age dates of young recharge in water from two till wells predated 1980 (JPG-DU-04O and JPG-DU-06O). Tritium-based age dates of water from seven other till wells indicated post-1972 age recharge. Most wells in the Pre-Wisconsinan till have the potential to produce groundwater that partially was recharged during or after DU penetrator testing; their water quality can indicate the presence of DU-related contaminants. The shallow carbonate unit near Big Creek is a karst flow system that may be recharged in part from areas with smaller thicknesses of overlying till or through more permeable parts of the till. This is indicated by CFC- and tritium-based piston-flow (non-mixing) model age dates of early-1980s for water from JPG-DU-02I, similar tritium-based ages of water produced from nearby wells MW-5 and MW-11, and cave development along the creek. The CFC and tritium-based age dates indicate that water samples from JPG-DU-01I and JPG-DU-03I were best described as mixtures of post-1984 modern recharge and submodern (1953 or older) recharge. These five wells produced groundwater that was recharged, at least partially, during or after DU-penetrator testing and are within or downgradient from the DU Impact Area with respect to groundwater flow directions inferred from water-level contours. Wells with groundwater age dates that are near to or after the onset (1984) of DU penetrator testing and that have a plausible connection to a contaminant source can be used to indicate the presence or absence of contaminants from DU penetrator or DU-related corrosion products in groundwater. Groundwater-age dates indicate that the ages of recharge sampled from shallow carbonate unit wells JPG-DU-04I, JPG-DU-05I, JPG-DU-06I, JPG-DU-09I, and JPG-DU-10D in easternmost (upgradient) and southernmost wells in the shallow carbonate unit are submodern (1953 or older) and predate the DU testing by at least 30 or more years. Water-quality data from these five wells are not likely to represent effects from DU-projectile testing or corrosion for years. Well JPG-DU-09D in the deep carbonate unit produced groundwater samples with a submodern (1953 or older) age date. The slow recovery of water levels in most wells in the deep carbonate unit is consis
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105178","collaboration":"Prepared in cooperation with the U.S. Department of the Army","usgsCitation":"Buszka, P.M., Lampe, D.C., and Egler, A.L., 2010, Estimates of groundwater age from till and carbonate bedrock hydrogeologic units at Jefferson Proving Ground, Southeastern Indiana, 2007-08: U.S. Geological Survey Scientific Investigations Report 2010-5178, x, 41 p.; Tables, https://doi.org/10.3133/sir20105178.","productDescription":"x, 41 p.; Tables","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":115967,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5178.jpg"},{"id":14133,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5178/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Indiana","otherGeospatial":"Jefferson Proving Ground","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.71666666666667,38.666666666666664 ], [ -85.71666666666667,39.166666666666664 ], [ -85,39.166666666666664 ], [ -85,38.666666666666664 ], [ -85.71666666666667,38.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649630","contributors":{"authors":[{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Egler, Amanda L. 0000-0001-5621-6810","orcid":"https://orcid.org/0000-0001-5621-6810","contributorId":103221,"corporation":false,"usgs":true,"family":"Egler","given":"Amanda","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306239,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98720,"text":"tm13A1 - 2010 - MATLAB tools for improved characterization and quantification of volcanic incandescence in Webcam imagery: Applications at Kilauea Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2024-01-09T21:48:27.001505","indexId":"tm13A1","displayToPublicDate":"2010-09-22T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"13-A1","displayTitle":"MATLAB Tools for Improved Characterization and Quantification of Volcanic Incandescence in Webcam Imagery: Applications at Kīlauea Volcano, Hawai‘i","title":"MATLAB tools for improved characterization and quantification of volcanic incandescence in Webcam imagery: Applications at Kilauea Volcano, Hawai'i","docAbstract":"Webcams are now standard tools for volcano monitoring and are used at observatories in Alaska, the Cascades, Kamchatka, Hawai‘i, Italy, and Japan, among other locations. Webcam images allow invaluable documentation of activity and provide a powerful comparative tool for interpreting other monitoring datastreams, such as seismicity and deformation. Automated image processing can improve the time efficiency and rigor of Webcam image interpretation, and potentially extract more information on eruptive activity. For instance, Lovick and others (2008) provided a suite of processing tools that performed such tasks as noise reduction, eliminating uninteresting images from an image collection, and detecting incandescence, with an application to dome activity at Mount St. Helens during 2007.
In this paper, we present two very simple automated approaches for improved characterization and quantification of volcanic incandescence in Webcam images at Kīlauea Volcano, Hawai‘i. The techniques are implemented in MATLAB (version 2009b, ® The Mathworks, Inc.) to take advantage of the ease of matrix operations. Incandescence is a useful indictor of the location and extent of active lava flows and also a potentially powerful proxy for activity levels at open vents. We apply our techniques to a period covering both summit and east rift zone activity at Kīlauea during 2008–2009 and compare the results to complementary datasets (seismicity, tilt) to demonstrate their integrative potential. A great strength of this study is the demonstrated success of these tools in an operational setting at the Hawaiian Volcano Observatory (HVO) over the course of more than a year. Although applied only to Webcam images here, the techniques could be applied to any type of sequential images, such as time-lapse photography.
We expect that these tools are applicable to many other volcano monitoring scenarios, and the two MATLAB scripts, as they are implemented at HVO, are included in the appendixes. These scripts would require minor to moderate modifications for use elsewhere, primarily to customize directory navigation. If the user has some familiarity with MATLAB, or programming in general, these modifications should be easy. Although we originally anticipated needing the Image Processing Toolbox, the scripts in the appendixes do not require it. Thus, only the base installation of MATLAB is needed. Because fairly basic MATLAB functions are used, we expect that the script can be run successfully by versions earlier than 2009b.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A, Methods Used in Volcano Monitoring of Book 13, Volcano Monitoring","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/tm13A1","usgsCitation":"Patrick, M.R., Kauahikaua, J.P., and Antolik, L., 2010, MATLAB tools for improved characterization and quantification of volcanic incandescence in Webcam imagery: Applications at Kilauea Volcano, Hawai'i: U.S. Geological Survey Techniques and Methods 13-A1, iii, 16 p., https://doi.org/10.3133/tm13A1.","productDescription":"iii, 16 p.","onlineOnly":"Y","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":424240,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94259.htm","linkFileType":{"id":5,"text":"html"}},{"id":14128,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm13a1/","linkFileType":{"id":5,"text":"html"}},{"id":115963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm_13_a1.gif"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.30118026740482,\n 19.454395132046088\n ],\n [\n -155.30118026740482,\n 19.352844813557866\n ],\n [\n -154.99507230545026,\n 19.352844813557866\n ],\n [\n -154.99507230545026,\n 19.454395132046088\n ],\n [\n -155.30118026740482,\n 19.454395132046088\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648ba9","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":306223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":306224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antolik, Loren lantolik@usgs.gov","contributorId":4144,"corporation":false,"usgs":true,"family":"Antolik","given":"Loren","email":"lantolik@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":306225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70198306,"text":"70198306 - 2010 - Seismic source mechanism of degassing bursts at Kilauea volcano, Hawaii: Results from waveform inversion in the 10–50 s band","interactions":[],"lastModifiedDate":"2019-12-21T09:14:51","indexId":"70198306","displayToPublicDate":"2010-09-21T07:53:58","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"subseriesTitle":"Seismology","title":"Seismic source mechanism of degassing bursts at Kilauea volcano, Hawaii: Results from waveform inversion in the 10–50 s band","docAbstract":"The current (March 2008 to February 2009) summit eruptive activity at Kilauea Volcano is characterized by explosive degassing bursts accompanied by very long period (VLP) seismic signals. We model the source mechanisms of VLP signals in the 10–50 s band using data recorded for 15 bursts with a 10‐station broadband network deployed in the summit caldera. To determine the source centroid location and source mechanism, we minimize the residual error between data and synthetics calculated by the finite difference method for a point source embedded in a homogeneous medium that takes topography into account. The VLP signals associated with the bursts originate in a source region ∼1 km below the eastern perimeter of Halemaumau pit crater. The observed waveforms are well explained by the combination of a volumetric component and a vertical single force component. For the volumetric component, several source geometries are obtained which equally explain the observed waveforms. These geometries include (1) a pipe dipping 64° to the northeast; (2) two intersecting cracks including an east striking crack (dike) dipping 80° to the north, intersecting a north striking crack (another dike) dipping 65° to the east; (3) a pipe dipping 58° to the northeast, intersecting a crack dipping 48° to the west–southwest; and (4) a pipe dipping 57° to the northeast, intersecting a pipe dipping 58° to the west–southwest. Using the dual‐crack model as reference, the largest volume change obtained among the 15 bursts is ∼24,400 m3, and the maximum amplitude (peak to peak) of the force is ∼20 GN. Each burst is marked by a similar sequence of deflation and inflation, trailed by decaying oscillations of the volumetric source. The vertical force is initially upward, synchronous with source deflation, then downward, synchronous with source reinflation, followed by oscillations with polarity opposite to the volumetric oscillations. This combination of force and volume change is attributed to pressure and momentum changes induced during a fluid dynamic source mechanism involving the ascent, expansion, and burst of a large slug of gas within the upper ∼150 m of the magma conduit. As the slug expands upon approach to the surface and more liquid becomes wall supported by viscous shear forces, the pressure below the slug decreases, inducing conduit deflation and an upward force on the Earth. The final rapid slug expansion and burst stimulate VLP and LP oscillations of the conduit system, which slowly decay due to viscous dissipation and elastic radiation. Consideration of the fluid dynamic arguments leads us to prefer the dual‐crack VLP source model as it is the only candidate model capable of producing plausible values of length scales and pressure changes. The magnitudes of the vertical forces observed in the 15 bursts appear consistent with slug masses of 104 to 106 kg.
","language":"English","publisher":"AGU","doi":"10.1029/2009JB006661","usgsCitation":"Chouet, B.A., Dawson, P.B., James, M.R., and Lane, S., 2010, Seismic source mechanism of degassing bursts at Kilauea volcano, Hawaii: Results from waveform inversion in the 10–50 s band: Journal of Geophysical Research B: Solid Earth, v. 115, no. B9, B09311, 24 p., https://doi.org/10.1029/2009JB006661.","productDescription":"B09311, 24 p.","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":475668,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb006661","text":"Publisher Index Page"},{"id":356037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.5938720703125,\n 18.92187618976372\n ],\n [\n -155.3082275390625,\n 19.160735484156255\n ],\n [\n -154.7479248046875,\n 19.331878440818787\n ],\n [\n -154.7149658203125,\n 19.54943746814108\n ],\n [\n -155.1983642578125,\n 19.564966221479995\n ],\n [\n -155.3631591796875,\n 19.580493479202527\n ],\n [\n -155.6158447265625,\n 19.48730751856426\n ],\n [\n -155.6817626953125,\n 19.088075584093136\n ],\n [\n -155.5938720703125,\n 18.92187618976372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","issue":"B9","noUsgsAuthors":false,"publicationDate":"2010-09-21","publicationStatus":"PW","scienceBaseUri":"5b98b70ce4b0702d0e844d54","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":740968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Mike R.","contributorId":199802,"corporation":false,"usgs":false,"family":"James","given":"Mike","email":"","middleInitial":"R.","affiliations":[{"id":13133,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, UK","active":true,"usgs":false}],"preferred":false,"id":740969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, S.J.","contributorId":28771,"corporation":false,"usgs":true,"family":"Lane","given":"S.J.","email":"","affiliations":[],"preferred":false,"id":740970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98707,"text":"ofr20101179 - 2010 - Magmatic sulfide-rich nickel-copper deposits related to picrite and (or) tholeiitic basalt dike-sill complexes: A preliminary deposit model","interactions":[],"lastModifiedDate":"2022-12-01T19:52:55.540223","indexId":"ofr20101179","displayToPublicDate":"2010-09-17T00:00:00","publicationYear":"2010","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":"2010-1179","title":"Magmatic sulfide-rich nickel-copper deposits related to picrite and (or) tholeiitic basalt dike-sill complexes: A preliminary deposit model","docAbstract":"Magmatic sulfide deposits containing nickel (Ni) and copper (Cu), with or without (±) platinum-group elements (PGEs), account for approximately 60 percent of the world’s Ni production and are active exploration targets in the United States and elsewhere. On the basis of their principal metal production, magmatic sulfide deposits in mafic rocks can be divided into two major types: those that are sulfide-rich, typically with 10 to 90 percent sulfide minerals, and have economic value primarily because of their Ni and Cu contents; and those that are sulfide-poor, typically with 0.5 to 5 percent sulfide minerals, and are exploited principally for PGE. Because the purpose of this deposit model is to facilitate the assessment for undiscovered, potentially economic magmatic Ni-Cu±PGE sulfide deposits in the United States, it addresses only those deposits of economic significance that are likely to occur in the United States on the basis of known geology. Thus, this model focuses on deposits hosted by small- to medium-sized mafic and (or) ultramafic dikes and sills that are related to picrite and tholeiitic basalt magmatic systems generally emplaced in continental settings as a component of large igneous provinces (LIPs). World-class examples (those containing greater than 1 million tons Ni) of this deposit type include deposits at Noril’sk-Talnakh (Russia), Jinchuan (China), Pechenga (Russia), Voisey’s Bay (Canada), and Kabanga (Tanzania). In the United States, this deposit type is represented by the Eagle deposit in northern Michigan, currently under development by Kennecott Minerals.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101179","usgsCitation":"Schulz, K.J., Chandler, V., Nicholson, S.W., Piatak, N.M., Seal, R., Woodruff, L.G., and Zientek, M.L., 2010, Magmatic sulfide-rich nickel-copper deposits related to picrite and (or) tholeiitic basalt dike-sill complexes: A preliminary deposit model: U.S. Geological Survey Open-File Report 2010-1179, v, 25 p., https://doi.org/10.3133/ofr20101179.","productDescription":"v, 25 p.","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":409940,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94211.htm","linkFileType":{"id":5,"text":"html"}},{"id":14115,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1179/","linkFileType":{"id":5,"text":"html"}},{"id":115929,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1179.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db649231","contributors":{"authors":[{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Val W.","contributorId":57135,"corporation":false,"usgs":true,"family":"Chandler","given":"Val W.","affiliations":[],"preferred":false,"id":306192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":306187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":2324,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":306189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":397,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[],"preferred":false,"id":306186,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306188,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":306190,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98705,"text":"sir20105184 - 2010 - Numerical simulation of the groundwater-flow system in tributary subbasins and vicinity, lower Skagit River basin, Skagit and Snohomish Counties, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105184","displayToPublicDate":"2010-09-17T00:00:00","publicationYear":"2010","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":"2010-5184","title":" Numerical simulation of the groundwater-flow system in tributary subbasins and vicinity, lower Skagit River basin, Skagit and Snohomish Counties, Washington","docAbstract":"A groundwater-flow model was developed to evaluate the effects of potential groundwater withdrawals and consumptive use on streamflows in tributary subbasins of the lower portion of the Skagit River basin. The study area covers about 155 square miles along the Skagit River and its tributary subbasins (East Fork Nookachamps Creek, Nookachamps Creek, Carpenter Creek, Fisher Creek) in southwestern Skagit County and northwestern Snohomish County, Washington. The Skagit River occupies a large, relatively flat alluvial valley that extends across the northern and western margins of the study area, and is bounded to the south and east by upland and mountainous terrain. The alluvial valley and upland are underlain by unconsolidated deposits of glacial and inter- glacial origin. Bedrock underlies the alluvial valley and upland areas, and crops out throughout the mountainous terrain. Nine hydrogeologic units are recognized in the study area and form the basis of the groundwater-flow model. \r\n\r\nGroundwater flow in tributary subbasins of the lower Skagit River and vicinity was simulated using the groundwater-flow model, MODFLOW-2000. The finite-difference model grid consists of 174 rows, 156 columns, and 15 layers. Each model cell has a horizontal dimension of 500 by 500 feet. The thickness of model layers varies throughout the model area. Groundwater flow was simulated for both steady-state and transient conditions. The steady-state condition simulated average recharge, discharge, and water levels for the period, August 2006-September 2008. The transient simulation period, September 2006-September 2008, was divided into 24 monthly stress periods. Initial conditions for the transient model were developed from a 6-year ?lead-in? period that used recorded precipitation and Skagit River levels, and extrapolations of other boundary conditions. During model calibration, variables were adjusted within probable ranges to minimize differences between measured and simulated groundwater levels and stream baseflows. The final calibrated steady-state and transient models have weighted mean residual of -10.1 and -2.2 feet, respectively (negative residuals indicate that measured value is less than simulated value).\r\n\r\nSimulated inflow to the model area was about 144,000 acre-feet per year (acre-ft/yr) (81 percent of simulated inflow) from precipitation and secondary recharge, and about 32,700 acre-ft/yr (19 percent of simulated inflow) from stream and lake leakage. Simulated outflow from the model primarily was through discharge to streams and lakes (about 166,500 acre-ft/yr; 94 percent of simulated outflow), and withdrawals from wells (about 9,800 acre-ft/yr; 6 percent of simulated outflow).\r\n\r\nModel simulations were conducted to demonstrate model performance and to provide representative examples of how the model may be used to evaluate the effects of potential changes in groundwater withdrawals, consumptive use, and recharge on groundwater levels and tributary stream baseflows.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105184","collaboration":"Prepared in cooperation with the Skagit County Public Works Department and the Washington State Department of Ecology and Skagit County Public Utility District No. 1","usgsCitation":"Johnson, K.H., and Savoca, M.E., 2010, Numerical simulation of the groundwater-flow system in tributary subbasins and vicinity, lower Skagit River basin, Skagit and Snohomish Counties, Washington: U.S. Geological Survey Scientific Investigations Report 2010-5184, viii, 77 p., https://doi.org/10.3133/sir20105184.","productDescription":"viii, 77 p.","additionalOnlineFiles":"N","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":115928,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5184.jpg"},{"id":14113,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5184/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.41666666666667,48.25 ], [ -122.41666666666667,48.5 ], [ -122.05,48.5 ], [ -122.05,48.25 ], [ -122.41666666666667,48.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48fee4b0b290850eeca6","contributors":{"authors":[{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savoca, Mark E. mesavoca@usgs.gov","contributorId":1961,"corporation":false,"usgs":true,"family":"Savoca","given":"Mark","email":"mesavoca@usgs.gov","middleInitial":"E.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306175,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98678,"text":"ofr20101216 - 2010 - Distribution and condition of larval and juvenile Lost River and shortnose suckers in the Williamson River Delta restoration project and Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2019-12-27T09:45:37","indexId":"ofr20101216","displayToPublicDate":"2010-09-10T00:00:00","publicationYear":"2010","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":"2010-1216","title":"Distribution and condition of larval and juvenile Lost River and shortnose suckers in the Williamson River Delta restoration project and Upper Klamath Lake, Oregon","docAbstract":"Federally endangered Lost River sucker (Deltistes luxatus) and shortnose sucker (Chasmistes brevirostris) were once abundant throughout their range but populations have declined. They were extirpated from several lakes in the 1920s and may no longer reproduce in others. Poor recruitment to the adult spawning populations is one of several reasons cited for the decline and lack of recovery of these species and may be the consequence of high mortality during juvenile life stages. High larval and juvenile sucker mortality may be exacerbated by an insufficient quantity of suitable or high quality rearing habitat. In addition, larval suckers may be swept downstream from suitable rearing areas in Upper Klamath Lake into Keno Reservoir, which is seasonally anoxic. The Nature Conservancy flooded about 3,600 acres (1,456 hectares) to the north of the Williamson River mouth (Tulana Unit) in October 2007 and about 1,400 acres (567 hectares) to the south and east of the Williamson River mouth (Goose Bay Unit) a year later to retain larval suckers in Upper Klamath Lake, create nursery habitat, and improve water quality. The U.S. Geological Survey joined a long-term research and monitoring program in collaboration with The Nature Conservancy, the Bureau of Reclamation, and Oregon State University in 2008 to assess the effects of the Williamson River Delta restoration on the early life-history stages of Lost River and shortnose suckers. The primary objectives of the research were to describe habitat colonization and use by larval and juvenile suckers and non-sucker fishes and to evaluate the effects of the restored habitat on the health and condition of juvenile suckers. This report summarizes data collected in 2009 by the U.S. Geological Survey as a part of this monitoring effort. The Williamson River Delta appeared to provide suitable rearing habitat for endangered larval Lost River and shortnose suckers in 2008 and 2009. Larval suckers captured in this delta typically were larger than those captured in the adjacent lake habitat in 2008, but the opposite was true for larval shortnose suckers in 2009. Mean sample density was greater for both species in the Williamson River Delta than adjacent lake habitats in both years. Larval suckers captured in the restoration area, however, had less food in their guts compared to those captured in Upper Klamath or Agency Lakes. Differential distribution among sucker species within the Williamson River Delta and between the delta and adjacent lakes indicated that shortnose suckers likely benefited more from the restored Williamson River Delta than Lost River or Klamath largescale suckers (Catostomus snyderi). Catch rates in shallow-water habitats with vegetation within the delta were higher for shortnose and Klamath largescale suckers than for larval Lost River suckers in 2008 and 2009.However, catch rates at the mouth of the Williamson River in 2008 and in Upper Klamath Lake in 2009 were higher for larval Lost River suckers than for larvae identified as either shortnose or Klamath largescale suckers. Shortnose suckers also comprised the greatest portion of age-0 suckers captured in the Williamson River Delta in 2008 and 2009. The relative abundance of age-1 shortnose suckers was high in our catches compared to age-1 Lost River suckers in 2009 in the delta and adjacent lakes, which may or may not indicate shortnose suckers experienced better survival than Lost River suckers in 2008. Age-0 and age-1 suckers were similarly distributed throughout the Williamson River Delta in 2008 and 2009. Age-0 suckers used shallow vegetated and unvegetated habitats primarily in mid- to late July in both years. A comparison of catch rates between our study and a concurrent study in Upper Klamath Lake indicated that Goose Bay was the most used habitat in 2009 and the Tulana Unit was the one of the least used habitats in 2008 and 2009 by age-0 suckers. Catch rates for age-1 suckers, however, indicated that bo
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101216","usgsCitation":"Burdick, S.M., and Brown, D.T., 2010, Distribution and condition of larval and juvenile Lost River and shortnose suckers in the Williamson River Delta restoration project and Upper Klamath Lake, Oregon: U.S. Geological Survey Open-File Report 2010-1216, vi, 78 p., https://doi.org/10.3133/ofr20101216.","productDescription":"vi, 78 p.","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":115938,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1216.jpg"},{"id":14082,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1216/pdf/ofr20101216.pdf","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake, Williamson River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.12814331054686,\n 42.21122801157102\n ],\n [\n -121.74224853515625,\n 42.21122801157102\n ],\n [\n -121.74224853515625,\n 42.58342200132361\n ],\n [\n -122.12814331054686,\n 42.58342200132361\n ],\n [\n -122.12814331054686,\n 42.21122801157102\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db649d4d","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Daniel T.","contributorId":11303,"corporation":false,"usgs":true,"family":"Brown","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":306104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003380,"text":"70003380 - 2010 - Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay River inputs","interactions":[],"lastModifiedDate":"2021-02-16T17:13:58.165857","indexId":"70003380","displayToPublicDate":"2010-09-07T13:06:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay River inputs","docAbstract":"A new approach to the analysis of long‐term surface water‐quality data is proposed and implemented. The goal of this approach is to increase the amount of information that is extracted from the types of rich water‐quality datasets that now exist. The method is formulated to allow for maximum flexibility in representations of the long‐term trend, seasonal components, and discharge‐related components of the behavior of the water‐quality variable of interest. It is designed to provide internally consistent estimates of the actual history of concentrations and fluxes as well as histories that eliminate the influence of year‐to‐year variations in streamflow. The method employs the use of weighted regressions of concentrations on time, discharge, and season. Finally, the method is designed to be useful as a diagnostic tool regarding the kinds of changes that are taking place in the watershed related to point sources, groundwater sources, and surface‐water nonpoint sources. The method is applied to datasets for the nine large tributaries of Chesapeake Bay from 1978 to 2008. The results show a wide range of patterns of change in total phosphorus and in dissolved nitrate plus nitrite. These results should prove useful in further examination of the causes of changes, or lack of changes, and may help inform decisions about future actions to reduce nutrient enrichment in the Chesapeake Bay and its watershed.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1752-1688.2010.00482.x","usgsCitation":"Hirsch, R.M., Moyer, D., and Archfield, S.A., 2010, Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay River inputs: Journal of the American Water Resources Association, v. 46, no. 5, p. 857-880, https://doi.org/10.1111/j.1752-1688.2010.00482.x.","productDescription":"24 p.","startPage":"857","endPage":"880","numberOfPages":"24","temporalStart":"1978-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":475671,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/j.1752-1688.2010.00482.x","text":"External Repository"},{"id":383291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.00341796875,\n 36.89719446989036\n ],\n [\n -75.76171875,\n 37.579412513438385\n ],\n [\n -75.5419921875,\n 38.013476231041935\n ],\n [\n -75.87158203125,\n 39.690280594818034\n ],\n [\n -76.35498046875,\n 39.639537564366684\n ],\n [\n -77.255859375,\n 38.58252615935333\n ],\n [\n -76.88232421875,\n 37.45741810262938\n ],\n [\n -76.11328125,\n 36.756490329505176\n ],\n [\n -76.00341796875,\n 36.89719446989036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"5","noUsgsAuthors":false,"publicationDate":"2010-09-07","publicationStatus":"PW","scienceBaseUri":"505bcfc9e4b08c986b32eae1","contributors":{"authors":[{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":347067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moyer, Douglas 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":2670,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":347068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":347066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98660,"text":"sir20105104 - 2010 - Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:34","indexId":"sir20105104","displayToPublicDate":"2010-09-02T00:00:00","publicationYear":"2010","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":"2010-5104","title":"Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008","docAbstract":"The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, investigated trends in base flow, total flow, and base-flow index of selected streams in Oklahoma and evaluated possible causes for trends. Thirty-seven streamflow-gaging stations that had unregulated or moderately regulated streamflow were selected for trend analysis.\r\n\r\nStatistical evaluation of trends in annual and seasonal (winter-spring and summer-autumn) base flow, total flow, and base-flow index at 37 selected streamflow-gaging stations in Oklahoma was performed by using a Kendall's tau trend test. This trend analysis also was performed for annual and seasonal precipitation for nine climate divisions in the study area, annual peak flows, the number of days where flow was zero or less than 1 cubic foot per second (both annually and seasonally), and annual winter groundwater levels for 35 shallow wells near the analyzed stations. Precipitation-adjusted trends using LOESS regressions and Kendall's tau were computed for annual and seasonal base-flow and total-flow volumes in order to identify the presence of underlying trends in streamflow that are not associated with annual or seasonal variations in precipitation.\r\n\r\nIn general, upward trends in precipitation were detected for climate divisions in north-central Oklahoma and south-central and southeastern Kansas. More climate divisions had statistically significant upward trends in total precipitation for annual water years than in winter-spring or summer-autumn water years.\r\n\r\nSignificant trends in annual or seasonal base-flow volume were detected for 22 stations, 19 of which had trends that were upward in direction. Significant trends in annual or seasonal total-flow volume were detected for 14 stations, 9 of which had trends that were upward in direction. Most stations that had significant upward trends in annual or seasonal total-flow volume also had significant upward trends in base-flow volume for the same period. Precipitation adjustment changed the results (significant only or significance and direction) of significant annual or seasonal trends in unadjusted base-flow volume for 12 stations and in unadjusted total-flow volume for 13 stations.\r\n\r\nSignificant trends in annual or seasonal base-flow index were detected for 25 stations, 23 of which had trends that were upward in direction. Eighteen stations that had significant upward trends in annual or seasonal base-flow index also had significant upward trends in base-flow volume and no significant downward trends in total-flow volume during the same period, which indicated that upward trends in base-flow index were likely driven by increases in base flow at these stations.\r\n\r\nTrend results were highly variable throughout the State. However, some recurring patterns in locations of stations with similar trend results were detected. In general, significant downward trends in base-flow and total-flow volumes were detected for the three stations in the Oklahoma Panhandle. Significant upward trends in annual or seasonal base-flow volume before and after precipitation adjustment were detected for 12 stations in southwestern and central Oklahoma. In eastern Oklahoma, significant upward trends in annual or seasonal base-flow volume were only detected for 4 stations, and significant upward trends in annual or seasonal total-flow volume were only detected for 1 station. After precipitation adjustment no stations in this region had significant upward trends in either parameter, one station had significant downward trends in annual base-flow volume, and one station had significant downward trends in winter-spring total-flow volume.\r\n\r\nIncreases in annual and seasonal precipitation, especially during a substantial wet period (1980-2000), may be one of the factors resulting in upward trends in base-flow volume and total-flow volume at many of the stations analyzed in this report. Eleven stations with significant upward trends in precipitation-adjust","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105104","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Esralew, R.A., and Lewis, J.M., 2010, Trends in base flow, total flow, and base-flow index of selected streams in and near Oklahoma through 2008: U.S. Geological Survey Scientific Investigations Report 2010-5104, xii, 143 p., https://doi.org/10.3133/sir20105104.","productDescription":"xii, 143 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1895-01-01","temporalEnd":"2008-09-30","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":116002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5104.jpg"},{"id":14063,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5104/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5,33.833333333333336 ], [ -103.5,37.5 ], [ -94,37.5 ], [ -94,33.833333333333336 ], [ -103.5,33.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697c5c","contributors":{"authors":[{"text":"Esralew, Rachel A.","contributorId":104862,"corporation":false,"usgs":true,"family":"Esralew","given":"Rachel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306052,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230187,"text":"70230187 - 2010 - Ordovician volcanic-arc terrane in the Central Appalachian Piedmont of Maryland and Virginia: SHRIMP U-Pb geochronology, field relations, and tectonic significance","interactions":[],"lastModifiedDate":"2022-04-04T14:14:23.502462","indexId":"70230187","displayToPublicDate":"2010-09-01T08:53:32","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ordovician volcanic-arc terrane in the Central Appalachian Piedmont of Maryland and Virginia: SHRIMP U-Pb geochronology, field relations, and tectonic significance","docAbstract":"U-Pb zircon geochronology and field relations provide insights into metavolcanic and associated rocks in the Central Appalachian Piedmont of Maryland and northern Virginia. Ordovician ages were determined for volcanic-arc rocks of the James Run Formation (Churchville Gneiss Member, 458 ± 4 Ma; Carroll Gneiss Member, 462 ± 4 Ma), Relay Felsite (458 ± 4 Ma), Chopawamsic Formation (453 ± 4 Ma), and a Quantico Formation volcaniclastic layer (448 ± 4 Ma). A previously dated first phase of volcanism in the Chopawamsic Formation was followed by the second phase dated here. The latter suggests a possible source for contemporaneous volcanic-ash beds throughout eastern North America. Dates from the Chopawamsic and Quantico Formations constrain the transition from arc volcanism to successor-basin sedimentation. Ordovician metatonalites of the Franklinville (462 ± 5 Ma) and Perry Hall (461 ± 5 Ma) plutons are contemporaneous with the James Run Formation, whereas granitoids of the Bynum Run (434 ± 4 Ma) and Prince William Forest (434 ± 8 Ma) plutons indicate an Early Silurian plutonic event. The Popes Head Formation yielded Mesoproterozoic (1.0–1.25 Ga, 1.5–1.8 Ga) detrital zircons, and metamorphosed sedimentary mélange of the Sykesville Formation yielded Mesoproterozoic (1.0–1.8 Ga) detrital zircons plus a minor Archean (2.6 Ga) component. A few euhedral zircons (ca. 479 Ma) in the Sykesville Formation may be from granitic seams related to the Dalecarlia Intrusive Suite. A Potomac orogeny in the Central Appalachian Piedmont is not required, but the earliest Taconic orogenesis remains poorly constrained.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From Rodinia to Pangea: The lithotectonic record of the Appalachian region","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2010.1206(25)","usgsCitation":"Horton,, J., Aleinikoff, J.N., Drake, A.A., and Fanning, C.M., 2010, Ordovician volcanic-arc terrane in the Central Appalachian Piedmont of Maryland and Virginia: SHRIMP U-Pb geochronology, field relations, and tectonic significance, chap. of From Rodinia to Pangea: The lithotectonic record of the Appalachian region, p. 621-660, https://doi.org/10.1130/2010.1206(25).","productDescription":"40 p.","startPage":"621","endPage":"660","costCenters":[],"links":[{"id":398007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.6131591796875,\n 39.027718840211605\n ],\n [\n -75.9814453125,\n 39.605688178320804\n ],\n [\n -75.9100341796875,\n 39.69450749856091\n ],\n [\n -76.97021484375,\n 39.631076770083666\n ],\n [\n -77.49755859375,\n 38.75408327579141\n ],\n [\n -77.7008056640625,\n 38.39333888832238\n ],\n [\n -77.32177734375,\n 38.35027253825765\n ],\n [\n -76.6131591796875,\n 39.027718840211605\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":839414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":839415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drake, Avery A. Jr.","contributorId":81090,"corporation":false,"usgs":true,"family":"Drake","given":"Avery","suffix":"Jr.","middleInitial":"A.","affiliations":[],"preferred":false,"id":839416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fanning, C. Mark","contributorId":193462,"corporation":false,"usgs":false,"family":"Fanning","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":839417,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98647,"text":"pp1772 - 2010 - Groundwater-quality data and regional trends in the Virginia Coastal Plain, 1906-2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"pp1772","displayToPublicDate":"2010-08-31T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1772","title":"Groundwater-quality data and regional trends in the Virginia Coastal Plain, 1906-2007","docAbstract":"A newly developed regional perspective of the hydrogeology of the Virginia Coastal Plain incorporates updated information on groundwater quality in the area. Local-scale groundwater-quality information is provided by a comprehensive dataset compiled from multiple Federal and State agency databases. Groundwater-sample chemical-constituent values and related data are presented in tables, summaries, location maps, and discussions of data quality and limitations.\r\n\r\nSpatial trends in groundwater quality and related processes at the regional scale are determined from interpretive analyses of the sample data. Major ions that dominate the chemical composition of groundwater in the deep Piney Point, Aquia, and Potomac aquifers evolve eastward and with depth from (1) 'hard' water, dominated by calcium and magnesium cations and bicarbonate and carbonate anions, to (2) 'soft' water, dominated by sodium and potassium cations and bicarbonate and carbonate anions, and lastly to (3) 'salty' water, dominated by sodium and potassium cations and chloride anions. Chemical weathering of subsurface sediments is followed by ion exchange by clay and glauconite, and subsequently by mixing with seawater along the saltwater-transition zone. The chemical composition of groundwater in the shallower surficial and Yorktown-Eastover aquifers, and in basement bedrock along the Fall Zone, is more variable as a result of short flow paths between closely located recharge and discharge areas and possibly some solutes originating from human sources.\r\n\r\nThe saltwater-transition zone is generally broad and landward-dipping, based on groundwater chloride concentrations that increase eastward and with depth. The configuration is convoluted across the Chesapeake Bay impact crater, however, where it is warped and mounded along zones having vertically inverted chloride concentrations that decrease with depth. Fresh groundwater has flushed seawater from subsurface sediments preferentially around the impact crater as a result of broad contrasts between sediment permeabilities. Paths of differential flushing are also focused along the inverted zones, which follow stratigraphic and structural trends southeastward into North Carolina and northeastward beneath the chloride mound across the outer impact crater. Brine within the inner impact crater has probably remained unflushed. Regional movement of the saltwater-transition zone takes place over geologic time scales. Localized movement has been induced by groundwater withdrawal, mostly along shallow parts of the saltwater-transition zone. Short-term episodic withdrawals result in repeated cycles of upconing and downconing of saltwater, which are superimposed on longer-term lateral saltwater intrusion. Effective monitoring for saltwater intrusion needs to address multiple and complexly distributed areas of potential intrusion that vary over time.\r\n\r\nA broad belt of large groundwater fluoride concentrations underlies the city of Suffolk, and thins and tapers northward. Fluoride in groundwater probably originates by desorbtion from phosphatic sedimentary material. The high fluoride belt possibly was formed by initial adsorbtion of fluoride onto sediment oxyhydroxides, followed by desorbtion along the leading edge of the advancing saltwater-transition zone.\r\n\r\nLarge groundwater iron and manganese concentrations are most common to the west along the Fall Zone, across part of the saltwater-transition zone and eastward, and within shallow groundwater far to the east. Iron and manganese initially produced by mineral dissolution along the Fall Zone are adsorbed eastward and with depth by clay and glauconite, and subsequently desorbed along the leading edge of the advancing saltwater-transition zone. Iron and manganese in shallow groundwater far to the east are produced by reaction of sediment organic matter with oxyhydroxides.\r\n\r\nLarge groundwater nitrate and ammonium concentrations are mostly limited to shallow depths. Most nitrate a","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/pp1772","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality and the Hampton Roads Planning District Commission","usgsCitation":"McFarland, R.E., 2010, Groundwater-quality data and regional trends in the Virginia Coastal Plain, 1906-2007: U.S. Geological Survey Professional Paper 1772, vi, 86 p.; 14 Sheets - Plate 1: 30 x 30 inches, Plate 2: 42 x 30 inches, Plate 3: 20 x 30 inches, Plate 4: 28 x 30 inches, Plate 5: 28 x 30 inches, Plate 6: 28 x 30 inches, Plate 7: 28 x 30 inches, Plate 8: 28 x 30 inches, Plate 9: 28 x 30 inches, Plate 10: 28 x 30 inches, Plate 11: 28 x 30 inches, Plate 12: 28 x 30 inches, Plate 13: 28 x 30 inches, Plate 14: 28 x 30 inches, https://doi.org/10.3133/pp1772.","productDescription":"vi, 86 p.; 14 Sheets - Plate 1: 30 x 30 inches, Plate 2: 42 x 30 inches, Plate 3: 20 x 30 inches, Plate 4: 28 x 30 inches, Plate 5: 28 x 30 inches, Plate 6: 28 x 30 inches, Plate 7: 28 x 30 inches, Plate 8: 28 x 30 inches, Plate 9: 28 x 30 inches, Plate 10: 28 x 30 inches, Plate 11: 28 x 30 inches, Plate 12: 28 x 30 inches, Plate 13: 28 x 30 inches, Plate 14: 28 x 30 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1906-01-01","temporalEnd":"2007-12-31","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":115914,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1772.jpg"},{"id":14050,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1772/","linkFileType":{"id":5,"text":"html"}}],"scale":"500000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.5,36.5 ], [ -77.5,38.5 ], [ -75.16666666666667,38.5 ], [ -75.16666666666667,36.5 ], [ -77.5,36.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a93e4b07f02db6587f0","contributors":{"authors":[{"text":"McFarland, Randolph E.","contributorId":93879,"corporation":false,"usgs":true,"family":"McFarland","given":"Randolph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":305999,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98644,"text":"sir20105123 - 2010 - Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105123","displayToPublicDate":"2010-08-28T00:00:00","publicationYear":"2010","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":"2010-5123","title":"Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","docAbstract":"Three-dimensional steady-state and transient models of groundwater flow and advective transport in the eastern Snake River Plain aquifer were developed by the U.S. Geological Survey in cooperation with the U.S. Department of Energy. The steady-state and transient flow models cover an area of 1,940 square miles that includes most of the 890 square miles of the Idaho National Laboratory (INL). A 50-year history of waste disposal at the INL has resulted in measurable concentrations of waste contaminants in the eastern Snake River Plain aquifer. Model results can be used in numerical simulations to evaluate the movement of contaminants in the aquifer.\r\n\r\nSaturated flow in the eastern Snake River Plain aquifer was simulated using the MODFLOW-2000 groundwater flow model. Steady-state flow was simulated to represent conditions in 1980 with average streamflow infiltration from 1966-80 for the Big Lost River, the major variable inflow to the system. The transient flow model simulates groundwater flow between 1980 and 1995, a period that included a 5-year wet cycle (1982-86) followed by an 8-year dry cycle (1987-94). Specified flows into or out of the active model grid define the conditions on all boundaries except the southwest (outflow) boundary, which is simulated with head-dependent flow. In the transient flow model, streamflow infiltration was the major stress, and was variable in time and location. The models were calibrated by adjusting aquifer hydraulic properties to match simulated and observed heads or head differences using the parameter-estimation program incorporated in MODFLOW-2000. Various summary, regression, and inferential statistics, in addition to comparisons of model properties and simulated head to measured properties and head, were used to evaluate the model calibration. \r\n\r\nModel parameters estimated for the steady-state calibration included hydraulic conductivity for seven of nine hydrogeologic zones and a global value of vertical anisotropy. Parameters estimated for the transient calibration included specific yield for five of the seven hydrogeologic zones. The zones represent five rock units and parts of four rock units with abundant interbedded sediment. All estimates of hydraulic conductivity were nearly within 2 orders of magnitude of the maximum expected value in a range that exceeds 6 orders of magnitude. The estimate of vertical anisotropy was larger than the maximum expected value. All estimates of specific yield and their confidence intervals were within the ranges of values expected for aquifers, the range of values for porosity of basalt, and other estimates of specific yield for basalt. \r\n\r\nThe steady-state model reasonably simulated the observed water-table altitude, orientation, and gradients. Simulation of transient flow conditions accurately reproduced observed changes in the flow system resulting from episodic infiltration from the Big Lost River and facilitated understanding and visualization of the relative importance of historical differences in infiltration in time and space. As described in a conceptual model, the numerical model simulations demonstrate flow that is (1) dominantly horizontal through interflow zones in basalt and vertical anisotropy resulting from contrasts in hydraulic conductivity of various types of basalt and the interbedded sediments, (2) temporally variable due to streamflow infiltration from the Big Lost River, and (3) moving downward downgradient of the INL.\r\n\r\nThe numerical models were reparameterized, recalibrated, and analyzed to evaluate alternative conceptualizations or implementations of the conceptual model. The analysis of the reparameterized models revealed that little improvement in the model could come from alternative descriptions of sediment content, simulated aquifer thickness, streamflow infiltration, and vertical head distribution on the downgradient boundary. Of the alternative estimates of flow to or from the aquifer, only a 20 percent decrease in ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105123","collaboration":"Prepared in cooperation with the U.S. Department of Energy DOE/ID-22209","usgsCitation":"Ackerman, D.J., Rousseau, J.P., Rattray, G.W., and Fisher, J.C., 2010, Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho: U.S. Geological Survey Scientific Investigations Report 2010-5123, xii, 220 p. , https://doi.org/10.3133/sir20105123.","productDescription":"xii, 220 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":116000,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5123.jpg"},{"id":14045,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5123/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers Equal-Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,43 ], [ -114,44.333333333333336 ], [ -112,44.333333333333336 ], [ -112,43 ], [ -114,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b46c9","contributors":{"authors":[{"text":"Ackerman, Daniel J.","contributorId":9286,"corporation":false,"usgs":true,"family":"Ackerman","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rousseau, Joseph P.","contributorId":22030,"corporation":false,"usgs":true,"family":"Rousseau","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":305993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305991,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98617,"text":"dds069Y - 2010 - Oil shale and nahcolite resources of the Piceance Basin, Colorado","interactions":[],"lastModifiedDate":"2024-05-24T13:45:47.399863","indexId":"dds069Y","displayToPublicDate":"2010-08-24T00:00:00","publicationYear":"2010","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":"Y","title":"Oil shale and nahcolite resources of the Piceance Basin, Colorado","docAbstract":"This report presents an in-place assessment of the oil shale and nahcolite resources of the Green River Formation in the Piceance Basin of western Colorado. The Piceance Basin is one of three large structural and sedimentary basins that contain vast amounts of oil shale resources in the Green River Formation of Eocene age. The other two basins, the Uinta Basin of eastern Utah and westernmost Colorado, and the Greater Green River Basin of southwest Wyoming, northwestern Colorado, and northeastern Utah also contain large resources of oil shale in the Green River Formation, and these two basins will be assessed separately.\n\nEstimated in-place oil is about 1.5 trillion barrels, based on Fischer a ssay results from boreholes drilled to evaluate oil shale, making it the largest oil shale deposit in the world. The estimated in-place nahcolite resource is about 43.3 billion short tons.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/dds069Y","collaboration":"National Assessment of Oil and Gas Project","usgsCitation":"U.S. Geological Survey Oil Shale Assessment Team, 2010, Oil shale and nahcolite resources of the Piceance Basin, Colorado: U.S. Geological Survey Data Series 69, HTML Document: CD-ROM; 2 Databases, https://doi.org/10.3133/dds069Y.","productDescription":"HTML Document: CD-ROM; 2 Databases","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":429252,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-y/REPORTS/69_Y_CH_3_SUP/Appendix/PiceanceBasinNahcoliteDatabase.zip","text":"Piceance Basin Nahcolite Database","linkFileType":{"id":6,"text":"zip"}},{"id":429251,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-y/REPORTS/69_Y_CH_3_SUP/Appendix/PiceanceBasinOilShaleDatabase.zip","text":"Piceance Basin Oil Shale Database","linkFileType":{"id":6,"text":"zip"}},{"id":191316,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14016,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-y/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Piceance Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112,38 ], [ -112,43.75 ], [ -106,43.75 ], [ -106,38 ], [ -112,38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db691d2a","contributors":{"authors":[{"text":"U.S. Geological Survey Oil Shale Assessment Team","contributorId":128035,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Oil Shale Assessment Team","id":535037,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98612,"text":"ofr20105123 - 2010 - Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"ofr20105123","displayToPublicDate":"2010-08-21T00:00:00","publicationYear":"2010","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":"2010-5123","title":"Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho","docAbstract":"Three-dimensional steady-state and transient models of groundwater flow and advective transport in the eastern Snake River Plain aquifer were developed by the U.S. Geological Survey in cooperation with the U.S. Department of Energy. The steady-state and transient flow models cover an area of 1,940 square miles that includes most of the 890 square miles of the Idaho National Laboratory (INL). A 50-year history of waste disposal at the INL has resulted in measurable concentrations of waste contaminants in the eastern Snake River Plain aquifer. Model results can be used in numerical simulations to evaluate the movement of contaminants in the aquifer.\r\n\r\nSaturated flow in the eastern Snake River Plain aquifer was simulated using the MODFLOW-2000 groundwater flow model. Steady-state flow was simulated to represent conditions in 1980 with average streamflow infiltration from 1966-80 for the Big Lost River, the major variable inflow to the system. The transient flow model simulates groundwater flow between 1980 and 1995, a period that included a 5-year wet cycle (1982-86) followed by an 8-year dry cycle (1987-94). Specified flows into or out of the active model grid define the conditions on all boundaries except the southwest (outflow) boundary, which is simulated with head-dependent flow. In the transient flow model, streamflow infiltration was the major stress, and was variable in time and location. The models were calibrated by adjusting aquifer hydraulic properties to match simulated and observed heads or head differences using the parameter-estimation program incorporated in MODFLOW-2000. Various summary, regression, and inferential statistics, in addition to comparisons of model properties and simulated head to measured properties and head, were used to evaluate the model calibration. \r\n\r\nModel parameters estimated for the steady-state calibration included hydraulic conductivity for seven of nine hydrogeologic zones and a global value of vertical anisotropy. Parameters estimated for the transient calibration included specific yield for five of the seven hydrogeologic zones. The zones represent five rock units and parts of four rock units with abundant interbedded sediment. All estimates of hydraulic conductivity were nearly within 2 orders of magnitude of the maximum expected value in a range that exceeds 6 orders of magnitude. The estimate of vertical anisotropy was larger than the maximum expected value. All estimates of specific yield and their confidence intervals were within the ranges of values expected for aquifers, the range of values for porosity of basalt, and other estimates of specific yield for basalt. \r\n\r\nThe steady-state model reasonably simulated the observed water-table altitude, orientation, and gradients. Simulation of transient flow conditions accurately reproduced observed changes in the flow system resulting from episodic infiltration from the Big Lost River and facilitated understanding and visualization of the relative importance of historical differences in infiltration in time and space. As described in a conceptual model, the numerical model simulations demonstrate flow that is (1) dominantly horizontal through interflow zones in basalt and vertical anisotropy resulting from contrasts in hydraulic conductivity of various types of basalt and the interbedded sediments, (2) temporally variable due to streamflow infiltration from the Big Lost River, and (3) moving downward downgradient of the INL.\r\n\r\nThe numerical models were reparameterized, recalibrated, and analyzed to evaluate alternative conceptualizations or implementations of the conceptual model. The analysis of the reparameterized models revealed that little improvement in the model could come from alternative descriptions of sediment content, simulated aquifer thickness, streamflow infiltration, and vertical head distribution on the downgradient boundary. Of the alternative estimates of flow to or from the aquifer, only a 20 percent decrease in ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20105123","collaboration":"Prepared in cooperation with the U.S. Department of Energy DOE/ID-22209","usgsCitation":"Ackerman, D.J., Rousseau, J.P., Rattray, G.W., and Fisher, J.C., 2010, Steady-state and transient models of groundwater flow and advective transport, Eastern Snake River Plain aquifer, Idaho National Laboratory and vicinity, Idaho: U.S. Geological Survey Open-File Report 2010-5123, xii, 220 p. , https://doi.org/10.3133/ofr20105123.","productDescription":"xii, 220 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":14011,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5123/","linkFileType":{"id":5,"text":"html"}},{"id":200332,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"projection":"Albers Equal-Area Conic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,43 ], [ -114,44.5 ], [ -112,44.5 ], [ -112,43 ], [ -114,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4699","contributors":{"authors":[{"text":"Ackerman, Daniel J.","contributorId":9286,"corporation":false,"usgs":true,"family":"Ackerman","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rousseau, Joseph P.","contributorId":22030,"corporation":false,"usgs":true,"family":"Rousseau","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":305904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Jason C. 0000-0001-9032-8912 jfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-9032-8912","contributorId":2523,"corporation":false,"usgs":true,"family":"Fisher","given":"Jason","email":"jfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305902,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98596,"text":"ofr20101167 - 2010 - A method for quantitative mapping of thick oil spills using imaging spectroscopy","interactions":[],"lastModifiedDate":"2012-02-02T00:15:44","indexId":"ofr20101167","displayToPublicDate":"2010-08-14T00:00:00","publicationYear":"2010","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":"2010-1167","title":"A method for quantitative mapping of thick oil spills using imaging spectroscopy","docAbstract":"In response to the Deepwater Horizon oil spill in the Gulf of Mexico, a method of near-infrared imaging spectroscopic analysis was developed to map the locations of thick oil floating on water. Specifically, this method can be used to derive, in each image pixel, the oil-to-water ratio in oil emulsions, the sub-pixel areal fraction, and its thicknesses and volume within the limits of light penetration into the oil (up to a few millimeters). The method uses the shape of near-infrared (NIR) absorption features and the variations in the spectral continuum due to organic compounds found in oil to identify different oil chemistries, including its weathering state and thickness. The method is insensitive to complicating conditions such as moderate aerosol scattering and reflectance level changes from other conditions, including moderate sun glint. Data for this analysis were collected by the NASA Airborne Visual Infrared Imaging Spectrometer (AVIRIS) instrument, which was flown over the oil spill on May 17, 2010. Because of the large extent of the spill, AVIRIS flight lines could cover only a portion of the spill on this relatively calm, nearly cloud-free day. Derived lower limits for oil volumes within the top few millimeters of the ocean surface directly probed with the near-infrared light detected in the AVIRIS scenes were 19,000 (conservative assumptions) to 34,000 (aggressive assumptions) barrels of oil. AVIRIS covered about 30 percent of the core spill area, which consisted of emulsion plumes and oil sheens. Areas of oil sheen but lacking oil emulsion plumes outside of the core spill were not evaluated for oil volume in this study. If the core spill areas not covered by flight lines contained similar amounts of oil and oil-water emulsions, then extrapolation to the entire core spill area defined by a MODIS (Terra) image collected on the same day indicates a minimum of 66,000 to 120,000 barrels of oil was floating on the surface. These estimates are preliminary and subject to revision pending further analysis.\r\n\r\nBased on laboratory measurements, near-infrared (NIR) photons penetrate only a few millimeters into oil-water emulsions. As such, the oil volumes derived with this method are lower limits. Further, the detection is only of thick surface oil and does not include sheens, underwater oil, or oil that had already washed onto beaches and wetlands, oil that had been burned or evaporated as of May 17. Because NIR light penetration within emulsions is limited, and having made field observations that oil emulsions sometimes exceeded 20 millimeters in thickness, we estimate that the volume of oil, including oil thicker than can be probed in the AVIRIS imagery, is possibly as high as 150,000 barrels in the AVIRIS scenes. When this value is projected to the entire spill, it gives a volume of about 500,000 barrels for thick oil remaining on the sea surface as of May 17. AVIRIS data cannot be used to confirm this higher volume, and additional field work including more in-situ measurements of oil thickness would be required to confirm this higher oil volume. Both the directly detected minimum range of oil volume, and the higher possible volume projection for oil thicker than can be probed with NIR spectroscopy imply a significantly higher total volume of oil relative to that implied by the early NOAA (National Oceanic and Atmospheric Administration) estimate of 5,000 barrels per day reported on their Web site.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101167","usgsCitation":"Clark, R.N., Swayze, G.A., Leifer, I., Livo, K., Kokaly, R., Hoefen, T., Lundeen, S., Eastwood, M., Green, R., Pearson, N., Sarture, C., McCubbin, I., Roberts, D., Bradley, E., Steele, D., Ryan, T., Dominguez, R., and The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Team, 2010, A method for quantitative mapping of thick oil spills using imaging spectroscopy: U.S. Geological Survey Open-File Report 2010-1167, iii, 51 p.; Satellite imagery files, https://doi.org/10.3133/ofr20101167.","productDescription":"iii, 51 p.; Satellite imagery files","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":115983,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1167.jpg"},{"id":13994,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1167/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae132","contributors":{"authors":[{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":305831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leifer, Ira","contributorId":57988,"corporation":false,"usgs":true,"family":"Leifer","given":"Ira","email":"","affiliations":[],"preferred":false,"id":305838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livo, K. Eric 0000-0001-7331-8130","orcid":"https://orcid.org/0000-0001-7331-8130","contributorId":26338,"corporation":false,"usgs":true,"family":"Livo","given":"K. Eric","affiliations":[],"preferred":false,"id":305835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":305832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoefen, Todd 0000-0002-3083-5987","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":97210,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","affiliations":[],"preferred":false,"id":305844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lundeen, Sarah","contributorId":10904,"corporation":false,"usgs":true,"family":"Lundeen","given":"Sarah","affiliations":[],"preferred":false,"id":305833,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eastwood, Michael","contributorId":100981,"corporation":false,"usgs":true,"family":"Eastwood","given":"Michael","affiliations":[],"preferred":false,"id":305845,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Robert O.","contributorId":56271,"corporation":false,"usgs":true,"family":"Green","given":"Robert O.","affiliations":[],"preferred":false,"id":305837,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pearson, Neil","contributorId":77634,"corporation":false,"usgs":true,"family":"Pearson","given":"Neil","affiliations":[],"preferred":false,"id":305842,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sarture, Charles","contributorId":59149,"corporation":false,"usgs":true,"family":"Sarture","given":"Charles","affiliations":[],"preferred":false,"id":305839,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCubbin, Ian","contributorId":46193,"corporation":false,"usgs":true,"family":"McCubbin","given":"Ian","affiliations":[],"preferred":false,"id":305836,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, Dar","contributorId":13721,"corporation":false,"usgs":true,"family":"Roberts","given":"Dar","affiliations":[],"preferred":false,"id":305834,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bradley, Eliza","contributorId":61130,"corporation":false,"usgs":true,"family":"Bradley","given":"Eliza","affiliations":[],"preferred":false,"id":305840,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Steele, Denis","contributorId":103769,"corporation":false,"usgs":true,"family":"Steele","given":"Denis","email":"","affiliations":[],"preferred":false,"id":305847,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ryan, Thomas","contributorId":101772,"corporation":false,"usgs":true,"family":"Ryan","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":305846,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Dominguez, Roseanne","contributorId":61131,"corporation":false,"usgs":true,"family":"Dominguez","given":"Roseanne","email":"","affiliations":[],"preferred":false,"id":305841,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Team","contributorId":128214,"corporation":true,"usgs":false,"organization":"The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Team","id":535035,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":98592,"text":"sir20105095 - 2010 - Stream base flow and potentiometric surface of the Upper Floridan aquifer in south-Central and southwestern Georgia, November 2008","interactions":[],"lastModifiedDate":"2017-01-17T10:39:14","indexId":"sir20105095","displayToPublicDate":"2010-08-13T00:00:00","publicationYear":"2010","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":"2010-5095","title":"Stream base flow and potentiometric surface of the Upper Floridan aquifer in south-Central and southwestern Georgia, November 2008","docAbstract":"An investigation to document groundwater levels and stream base flow in the lower Chattahoochee-Flint and western and central Aucilla-Suwanee-Ochlockonee River basins during low-flow conditions was conducted by the U.S. Geological Survey in November 2008. During most of 2008, moderate to severe drought conditions prevailed throughout southwestern Georgia. Groundwater levels were below median daily levels throughout most of 2008; however, in some wells, groundwater levels rose to median daily levels by November. Discharge in most of the streams in the study area also had risen to median levels by November.\r\n\r\nThe potentiometric surface of the Upper Floridan aquifer was constructed from water-level measurements collected in 21 counties from 376 wells during November 1-10, 2008. The potentiometric surface indicates that groundwater in the study area generally flows to the south and toward streams except in reaches discharging to the Upper Floridan aquifer. The degree of connection between the Upper Floridan aquifer and streams decreases east of the Flint River where the overburden is thicker. Decreased connectivity between ground and surface water is evident from the stream-stage altitudes measured in November 2008 east of the Flint River, which are not similar to water-level altitudes measured in the Upper Floridan aquifer.\r\n\r\nStream-stage measurements were collected at 111 sites-26 U.S. Geological Survey streamgaging sites and 85 additional synoptic sites without gages. Streamflow measurements were made at 87 of the sites during November 2008 and were used to estimate base flow. The measurements indicate that stream reaches range from losing up to 10 cubic feet per second to gaining up to 4,559 cubic feet per second; five stream reaches were determined to be losing stream reaches. Of the 11 stream reaches in the Alapaha River subbasin, 7 were dry when measured in November 2008.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105095","usgsCitation":"Gordon, D., and Peck, M., 2010, Stream base flow and potentiometric surface of the Upper Floridan aquifer in south-Central and southwestern Georgia, November 2008: U.S. Geological Survey Scientific Investigations Report 2010-5095, v, 19 p.; Appendices; Downloadable Appendices file, https://doi.org/10.3133/sir20105095.","productDescription":"v, 19 p.; Appendices; Downloadable Appendices file","additionalOnlineFiles":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116054,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5095.jpg"},{"id":13990,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5095/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia","otherGeospatial":" Aucilla-Suwanee-Ochlockonee River basin, Chattahoochee-Flint River basin, Upper Floridan aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83,30 ], [ -83,32 ], [ -85,32 ], [ -85,30 ], [ -83,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a55b8","contributors":{"authors":[{"text":"Gordon, Debbie W. 0000-0002-5195-6657","orcid":"https://orcid.org/0000-0002-5195-6657","contributorId":79591,"corporation":false,"usgs":true,"family":"Gordon","given":"Debbie W.","affiliations":[],"preferred":false,"id":305823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peck, Michael F. mfpeck@usgs.gov","contributorId":1467,"corporation":false,"usgs":true,"family":"Peck","given":"Michael F.","email":"mfpeck@usgs.gov","affiliations":[],"preferred":false,"id":305822,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003758,"text":"70003758 - 2010 - Landscape genetics of high mountain frog metapopulations","interactions":[],"lastModifiedDate":"2021-02-16T19:43:46.656096","indexId":"70003758","displayToPublicDate":"2010-08-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genetics of high mountain frog metapopulations","docAbstract":"Explaining functional connectivity among occupied habitats is crucial for understanding metapopulation dynamics and species ecology. Landscape genetics has primarily focused on elucidating how ecological features between observations influence gene flow. Functional connectivity, however, may be the result of both these between‐site (landscape resistance) landscape characteristics and at‐site (patch quality) landscape processes that can be captured using network based models. We test hypotheses of functional connectivity that include both between‐site and at‐site landscape processes in metapopulations of Columbia spotted frogs (Rana luteiventris) by employing a novel justification of gravity models for landscape genetics (eight microsatellite loci, 37 sites, n = 441). Primarily used in transportation and economic geography, gravity models are a unique approach as flow (e.g. gene flow) is explained as a function of three basic components: distance between sites, production/attraction (e.g. at‐site landscape process) and resistance (e.g. between‐site landscape process). The study system contains a network of nutrient poor high mountain lakes where we hypothesized a short growing season and complex topography between sites limit R. luteiventris gene flow. In addition, we hypothesized production of offspring is limited by breeding site characteristics such as the introduction of predatory fish and inherent site productivity. We found that R. luteiventris connectivity was negatively correlated with distance between sites, presence of predatory fish (at‐site) and topographic complexity (between‐site). Conversely, site productivity (as measured by heat load index, at‐site) and growing season (as measured by frost‐free period between‐sites) were positively correlated with gene flow. The negative effect of predation and positive effect of site productivity, in concert with bottleneck tests, support the presence of source–sink dynamics. In conclusion, gravity models provide a powerful new modelling approach for examining a wide range of both basic and applied questions in landscape genetics.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1365-294X.2010.04723.x","usgsCitation":"Murphy, M., Dezzani, R., Pilliod, D., and Storfer, A., 2010, Landscape genetics of high mountain frog metapopulations: Molecular Ecology, v. 19, no. 17, p. 3634-3649, https://doi.org/10.1111/j.1365-294X.2010.04723.x.","productDescription":"16 p.","startPage":"3634","endPage":"3649","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":383298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"middle east Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.78515624999999,\n 44.793530904744074\n ],\n [\n -113.88427734374999,\n 44.793530904744074\n ],\n [\n -113.88427734374999,\n 45.460130637921004\n ],\n [\n -114.78515624999999,\n 45.460130637921004\n ],\n [\n -114.78515624999999,\n 44.793530904744074\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"17","noUsgsAuthors":false,"publicationDate":"2010-08-13","publicationStatus":"PW","scienceBaseUri":"4f4e4b20e4b07f02db6abb1b","contributors":{"authors":[{"text":"Murphy, M.A.","contributorId":65214,"corporation":false,"usgs":true,"family":"Murphy","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":348730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dezzani, R.","contributorId":12609,"corporation":false,"usgs":true,"family":"Dezzani","given":"R.","email":"","affiliations":[],"preferred":false,"id":348727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, D. S.","contributorId":45259,"corporation":false,"usgs":false,"family":"Pilliod","given":"D. S.","affiliations":[],"preferred":false,"id":348729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storfer, A.","contributorId":37881,"corporation":false,"usgs":true,"family":"Storfer","given":"A.","affiliations":[],"preferred":false,"id":348728,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98583,"text":"sir20105152 - 2010 - Correlation chart of Pennsylvanian rocks in Alabama, Tennessee, Kentucky, Virginia, West Virginia, Ohio, Maryland, and Pennsylvania showing approximate position of coal beds, coal zones, and key stratigraphic units","interactions":[],"lastModifiedDate":"2018-03-15T10:28:07","indexId":"sir20105152","displayToPublicDate":"2010-08-12T00:00:00","publicationYear":"2010","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":"2010-5152","title":"Correlation chart of Pennsylvanian rocks in Alabama, Tennessee, Kentucky, Virginia, West Virginia, Ohio, Maryland, and Pennsylvania showing approximate position of coal beds, coal zones, and key stratigraphic units","docAbstract":"This report contains a simplified provisional correlation chart that was compiled from both published and unpublished data in order to fill a need to visualize the currently accepted stratigraphic relations between Appalachian basin formations, coal beds and coal zones, and key stratigraphic units in the northern, central, and southern Appalachian basin coal regions of Alabama, Tennessee, Kentucky, Virginia, West Virginia, Ohio, Maryland, and Pennsylvania. Appalachian basin coal beds and coal zones were deposited in a variety of geologic settings throughout the Lower, Middle, and Upper Pennsylvanian and Pennsylvanian formations were defined on the presence or absence of economic coal beds and coarse-grained sandstones that often are local or regionally discontinuous. The correlation chart illustrates how stratigraphic units (especially coal beds and coal zones) and their boundaries can differ between States and regions.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105152","usgsCitation":"Ruppert, L.F., Trippi, M.H., and Slucher, E.R., 2010, Correlation chart of Pennsylvanian rocks in Alabama, Tennessee, Kentucky, Virginia, West Virginia, Ohio, Maryland, and Pennsylvania showing approximate position of coal beds, coal zones, and key stratigraphic units: U.S. Geological Survey Scientific Investigations Report 2010-5152, v, 9 p.; Additional separate large format files available as PDFs whithin contents page of report, https://doi.org/10.3133/sir20105152.","productDescription":"v, 9 p.; Additional separate large format files available as PDFs whithin contents page of report","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-022941","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":116051,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5152.jpg"},{"id":13981,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5152/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad8e4b07f02db6846bb","contributors":{"authors":[{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trippi, Michael H. 0000-0002-1398-3427 mtrippi@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-3427","contributorId":941,"corporation":false,"usgs":true,"family":"Trippi","given":"Michael","email":"mtrippi@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slucher, Ernie R. 0000-0002-5865-5734 eslucher@usgs.gov","orcid":"https://orcid.org/0000-0002-5865-5734","contributorId":3966,"corporation":false,"usgs":true,"family":"Slucher","given":"Ernie","email":"eslucher@usgs.gov","middleInitial":"R.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":305801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98575,"text":"sir20095037 - 2010 - Simulation of ground-water flow and solute transport in the Glen Canyon aquifer, East-Central Utah","interactions":[],"lastModifiedDate":"2017-09-19T16:37:36","indexId":"sir20095037","displayToPublicDate":"2010-08-10T00:00:00","publicationYear":"2010","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":"2009-5037","title":"Simulation of ground-water flow and solute transport in the Glen Canyon aquifer, East-Central Utah","docAbstract":"The extraction of methane from coal beds in the Ferron coal trend in central Utah started in the mid-1980s. Beginning in 1994, water from the extraction process was pressure injected into the Glen Canyon aquifer. The lateral extent of the aquifer that could be affected by injection is about 7,600 square miles. To address regional-scale effects of injection over a decadal time frame, a conceptual model of ground-water movement and transport of dissolved solids was formulated. A numerical model that incorporates aquifer concepts was then constructed and used to simulate injection.
The Glen Canyon aquifer within the study area is conceptualized in two parts—an active area of ground-water flow and solute transport that exists between recharge areas in the San Rafael Swell and Desert, Waterpocket Fold, and Henry Mountains and discharge locations along the Muddy, Dirty Devil, San Rafael, and Green Rivers. An area of little or negligible ground-water flow exists north of Price, Utah, and beneath the Wasatch Plateau. Pressurized injection of coal-bed methane production water occurs in this area where dissolved-solids concentrations can be more than 100,000 milligrams per liter. Injection has the potential to increase hydrologic interaction with the active flow area, where dissolved-solids concentrations are generally less than 3,000 milligrams per liter.
Pressurized injection of coal-bed methane production water in 1994 initiated a net addition of flow and mass of solutes into the Glen Canyon aquifer. To better understand the regional scale hydrologic interaction between the two areas of the Glen Canyon aquifer, pressurized injection was numerically simulated. Data constraints precluded development of a fully calibrated simulation; instead, an uncalibrated model was constructed that is a plausible representation of the conceptual flow and solute-transport processes. The amount of injected water over the 36-year simulation period is about 25,000 acre-feet. As a result, simulated water levels in the injection areas increased by 50 feet and dissolved-solids concentrations increased by 100 milligrams per liter or more. These increases are accrued into aquifer storage and do not extend to the rivers during the 36-year simulation period. The amount of change in simulated discharge and solute load to the rivers is less than the resolution accuracy of the numerical simulation and is interpreted as no significant change over the considered time period.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095037","collaboration":"Prepared in cooperation with the Utah Department of Natural Resources, Division of Oil, Gas, and Mining","usgsCitation":"Freethey, G.W., and Stolp, B.J., 2010, Simulation of ground-water flow and solute transport in the Glen Canyon aquifer, East-Central Utah: U.S. Geological Survey Scientific Investigations Report 2009-5037, vi, 28 p., https://doi.org/10.3133/sir20095037.","productDescription":"vi, 28 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":116043,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5037.jpg"},{"id":13972,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5037/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Utah","otherGeospatial":"Glen Canyon aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.478271484375,\n 38.41916639395372\n ],\n [\n -111.4892578125,\n 38.51808630316305\n ],\n [\n -111.6265869140625,\n 38.59540719940386\n ],\n [\n -111.7529296875,\n 38.586820096127674\n ],\n [\n -111.8408203125,\n 38.77978137804918\n ],\n [\n -111.57714843749999,\n 39.155622393423215\n ],\n [\n -111.3519287109375,\n 39.48284540453334\n ],\n [\n -111.324462890625,\n 39.66914219401813\n ],\n [\n -111.5057373046875,\n 39.9476478239225\n ],\n [\n -111.37939453125,\n 40.0360265298117\n ],\n [\n -111.2091064453125,\n 39.99395569397331\n ],\n [\n -111.18713378906249,\n 40.107487419012415\n ],\n [\n -110.4730224609375,\n 39.757879992021756\n ],\n [\n -110.0445556640625,\n 39.50827899034114\n ],\n [\n -110.15716552734375,\n 38.982897808179985\n ],\n [\n -110.08575439453125,\n 38.6275996886131\n ],\n [\n -110.01434326171875,\n 38.40194908237822\n ],\n [\n -110.4400634765625,\n 38.153997218446115\n ],\n [\n -110.55541992187499,\n 38.34596449365382\n ],\n [\n -110.9619140625,\n 38.55246141354153\n ],\n [\n -111.2750244140625,\n 38.41916639395372\n ],\n [\n -111.478271484375,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f8e4b07f02db5f2b1c","contributors":{"authors":[{"text":"Freethey, Geoffrey W.","contributorId":25570,"corporation":false,"usgs":true,"family":"Freethey","given":"Geoffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":305783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolp, Bernard J. 0000-0003-3803-1497 bjstolp@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":963,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard","email":"bjstolp@usgs.gov","middleInitial":"J.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98567,"text":"ofr20101007 - 2010 - Sea-floor geology and character offshore of Rocky Point, New York","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101007","displayToPublicDate":"2010-08-05T00:00:00","publicationYear":"2010","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":"2010-1007","title":"Sea-floor geology and character offshore of Rocky Point, New York","docAbstract":"The U.S. Geological Survey (USGS), the Connecticut Department of Environmental Protection, and the National Oceanic and Atmospheric Administration (NOAA) have been working cooperatively to interpret surficial sea-floor geology along the coast of the Northeastern United States. NOAA survey H11445 in eastern Long Island Sound, offshore of Plum Island, New York, covers an area of about 12 square kilometers. Multibeam bathymetry and sidescan-sonar imagery from the survey, as well as sediment and photographic data from 13 stations occupied during a USGS verification cruise are used to delineate sea-floor features and characterize the environment. Bathymetry gradually deepens offshore to over 100 meters in a depression in the northwest part of the study area and reaches 60 meters in Plum Gut, a channel between Plum Island and Orient Point. Sand waves are present on a shoal north of Plum Island and in several smaller areas around the basin. Sand-wave asymmetry indicates that counter-clockwise net sediment transport maintains the shoal. Sand is prevalent where there is low backscatter in the sidescan-sonar imagery. Gravel and boulder areas are submerged lag deposits produced from the Harbor Hill-Orient Point-Fishers Island moraine segment and are found adjacent to the shorelines and just north of Plum Island, where high backscatter is present in the sidescan-sonar imagery.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101007","usgsCitation":"Poppe, L., McMullen, K., Ackerman, S., Blackwood, D., Irwin, B., Schaer, J., Lewit, P., and Doran, E.F., 2010, Sea-floor geology and character offshore of Rocky Point, New York: U.S. Geological Survey Open-File Report 2010-1007, HTML Document, https://doi.org/10.3133/ofr20101007.","productDescription":"HTML Document","onlineOnly":"Y","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1007.jpg"},{"id":13964,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1007/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.40690224582102, 41.142948630001456], [-72.395993961992, 41.147960260392644], [-72.31996431100045, 41.16068230563835], [-72.31960476191205, 41.142815712185495], [-72.32077329644937, 41.14038875583865], [-72.33203916788705, 41.13886067221283], [-72.3399073004389, 41.14185691461653], [-72.3537799027676, 41.14068838007893], [-72.35732445753109, 41.13315582667644], [-72.36338585591352, 41.12559031460716], [-72.3825797847511, 41.11528324073878], [-72.38632508775568, 41.10666305134361], [-72.39036102627324, 41.102570430525745], [-72.39854076803518, 41.10511723656879], [-72.40426010998664, 41.10342668147886], [-72.40804441912451, 41.10672935127202], [-72.40874623645544, 41.124261023422974], [-72.40690224582102, 41.142948630001456]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.40874623645544, 41.102570430525745, -72.31960476191205, 41.16068230563835], \"type\": \"Feature\", \"id\": \"3091915\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc53d","contributors":{"authors":[{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":305752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":305751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, S.D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":305754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, D.S.","contributorId":98747,"corporation":false,"usgs":true,"family":"Blackwood","given":"D.S.","email":"","affiliations":[],"preferred":false,"id":305755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, B.J.","contributorId":105684,"corporation":false,"usgs":true,"family":"Irwin","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":305756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaer, J.D.","contributorId":31082,"corporation":false,"usgs":true,"family":"Schaer","given":"J.D.","affiliations":[],"preferred":false,"id":305750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewit, P.G.","contributorId":76028,"corporation":false,"usgs":true,"family":"Lewit","given":"P.G.","affiliations":[],"preferred":false,"id":305753,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doran, E. F.","contributorId":31066,"corporation":false,"usgs":true,"family":"Doran","given":"E.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":305749,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":98560,"text":"sir20105060 - 2010 - Delineation and Prediction Uncertainty of Areas Contributing Recharge to Selected Well Fields in Wetland and Coastal Settings, Southern Rhode Island","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"sir20105060","displayToPublicDate":"2010-08-04T00:00:00","publicationYear":"2010","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":"2010-5060","title":"Delineation and Prediction Uncertainty of Areas Contributing Recharge to Selected Well Fields in Wetland and Coastal Settings, Southern Rhode Island","docAbstract":"Areas contributing recharge to four well fields in two study sites in southern Rhode Island were delineated on the basis of steady-state groundwater-flow models representing average hydrologic conditions. The wells are screened in sand and gravel deposits in wetland and coastal settings. The groundwater-flow models were calibrated by inverse modeling using nonlinear regression. Summary statistics from nonlinear regression were used to evaluate the uncertainty associated with the predicted areas contributing recharge to the well fields.\r\n\r\nIn South Kingstown, two United Water Rhode Island well fields are in Mink Brook watershed and near Worden Pond and extensive wetlands. Wetland deposits of peat near the well fields generally range in thickness from 5 to 8 feet. Analysis of water-level drawdowns in a piezometer screened beneath the peat during a 20-day pumping period indicated vertical leakage and a vertical hydraulic conductivity for the peat of roughly 0.01 ft/d. The simulated area contributing recharge for average withdrawals of 2,138 gallons per minute during 2003-07 extended to groundwater divides in mostly till and morainal deposits, and it encompassed 2.30 square miles. Most of a sand and gravel mining operation between the well fields was in the simulated contributing area. For the maximum pumping capacity (5,100 gallons per minute), the simulated area contributing recharge expanded to 5.54 square miles. The well fields intercepted most of the precipitation recharge in Mink Brook watershed and in an adjacent small watershed, and simulated streams ceased to flow. The simulated contributing area to the well fields included an area beneath Worden Pond and a remote, isolated area in upland till on the opposite side of Worden Pond from the well fields. About 12 percent of the pumped water was derived from Worden Pond.\r\n\r\nIn Charlestown, the Central Beach Fire District and the East Beach Water Association well fields are on a small (0.85 square mile) peninsula in a coastal setting. The wells are screened in a coarse-grained, ice-proximal part of a morphosequence with saturated thicknesses generally less than 30 feet on the peninsula. The simulated area contributing recharge for the average withdrawal (16 gallons per minute) during 2003-07 was 0.018 square mile. The contributing area extended southwestward from the well fields to a simulated groundwater mound; it underlay part of a small nearby wetland, and it included isolated areas on the side of the wetland opposite the well fields. For the maximum pumping rate (230 gallons per minute), the simulated area contributing recharge (0.26 square mile) expanded in all directions; it included a till area on the peninsula, and it underlay part of a nearby pond. Because the well fields are screened in a thin aquifer, simulated groundwater traveltimes from recharge locations to the discharging wells were short: 94 percent of the traveltimes were 10 years or less, and the median traveltime was 1.3 years.\r\n\r\nModel-prediction uncertainty was evaluated using a Monte Carlo analysis; the parameter variance-covariance matrix from nonlinear regression was used to create parameter sets for the analysis. Important parameters for model prediction that could not be estimated by nonlinear regression were incorporated into the variance-covariance matrix. For the South Kingstown study site, observations provided enough information to constrain the uncertainty of these parameters within realistic ranges, but for the Charlestown study site, prior information on parameters was required. Thus, the uncertainty analysis for the South Kingstown study site was an outcome of calibrating the model to available observations, but the Charlestown study site was also dependent on information provided by the modeler. A water budget and model-fit statistical criteria were used to assess parameter sets so that prediction uncertainty was not overestimated. For the scenarios using maximum pumping rates at both study ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105060","collaboration":"Prepared in cooperation with the Rhode Island Department of Health","usgsCitation":"Friesz, P.J., 2010, Delineation and Prediction Uncertainty of Areas Contributing Recharge to Selected Well Fields in Wetland and Coastal Settings, Southern Rhode Island: U.S. Geological Survey Scientific Investigations Report 2010-5060, vii, 69 p. , https://doi.org/10.3133/sir20105060.","productDescription":"vii, 69 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":13957,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5060/","linkFileType":{"id":5,"text":"html"}},{"id":116039,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5060.jpg"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.9,41 ], [ -71.9,41.53333333333333 ], [ -71.16666666666667,41.53333333333333 ], [ -71.16666666666667,41 ], [ -71.9,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672423","contributors":{"authors":[{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305734,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98552,"text":"ofr20101115 - 2010 - Grassland birds wintering at U.S. Navy facilities in southern Texas","interactions":[],"lastModifiedDate":"2017-05-24T16:30:14","indexId":"ofr20101115","displayToPublicDate":"2010-08-03T00:00:00","publicationYear":"2010","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":"2010-1115","title":"Grassland birds wintering at U.S. Navy facilities in southern Texas","docAbstract":"Grassland birds have undergone widespread decline throughout North America during the past several decades. Causes of this decline include habitat loss and fragmentation because of conversion of grasslands to cropland, afforestation in the East, brush and shrub invasion in the Southwest and western United States, and planting of exotic grass species to enhance forage production. A large number of exotic plant species, including grasses, have been introduced in North America, but most research on the effects of these invasions on birds has been limited to breeding birds, primarily those in northern latitudes. Research on the effects of exotic grasses on birds in winter has been extremely limited.
This is the first study in southern Texas to examine and compare winter bird responses to native and exotic grasslands. This study was conducted during a period of six years (2003–2009) on United States Navy facilities in southern Texas including Naval Air Station–Corpus Christi, Naval Air Station–Kingsville, Naval Auxiliary Landing Field Waldron, Naval Auxiliary Landing Field Orange Grove, and Escondido Ranch, all of which contained examples of native grasslands, exotic grasslands, or both. Data from native and exotic grasslands were collected and compared for bird abundance and diversity; ground cover, vegetation density, and floristic diversity; bird and vegetation relationships; diversity of insects and arachnids; and seed abundance and diversity. Effects of management treatments in exotic grasslands were evaluated by comparing numbers and diversity of birds and small mammals in mowed, burned, and control areas.
To determine bird abundance and bird species richness, birds were surveyed monthly (December–February) during the winters of 2003–2008 in transects (100 meter × 20 meter) located in native and exotic grasslands distributed at all five U.S. Navy facilities. To compare vegetation in native and exotic grasslands, vegetation characteristics were measured during 2003–2008 in the same transects used for bird surveys and included five measures of ground cover, plus estimates of plant species richness, vegetation density (visual obstruction) at two different heights, and shrub numbers. These data, plus seasonal rainfall, were then used to evaluate components of variation in native and exotic grasslands. Relations between total bird numbers and bird species richness with environmental variation in native and exotic grasslands were compared. To compare diversity of arthropods in native and exotic grasslands, insects and arachnids were collected using three different methodologies (standardized sweep-net, random sweep-net, and pitfall traps) during four seasons, (2005–2006), at Naval Air Station–Corpus Christi, Naval Auxiliary Landing Field Waldron, and Naval Air Station–Kingsville. To compare seed abundance and diversity between native and exotic grasslands, seeds were collected for two winters (2004–2006) at Naval Air Station–Corpus Christi and Naval Air Station–Kingsville. To evaluate effects of management on grassland vertebrates, abundance and diversity of birds and small mammals were estimated and compared in exotic grasses subjected to mowing, burning, or no active management (control) for one full year (2008–2009).
Observations were made of 1,044 birds of 30 species in grassland transects during five winters. The Savannah Sparrow (Passerculus sandwichensis) was the most common bird, which, with 644 detections, accounted for 63 percent of all individuals identified to species. Meadowlarks (Sturnella spp.) and Le Conte’s Sparrows (Ammodramus leconteii) were the second (10 percent) and third (7 percent) most abundant bird species, respectively. Six of the seven most abundant species detected in grasslands were grassland species, and their numbers accounted for 87 percent of all birds, but 20 of the 30 species (67 percent) that used grasslands were not grassland species. Seven species observed in grassland transects during the study were Species of Conservation Concern: Le Conte’s Sparrow, Sedge Wren (Cistothorus platensis), Grasshopper Sparrow (Ammodramus savannarum), Long-billed Curlew (Numenius americanus), Sprague’s Pipit (Anthus spragueii), Cassin’s Sparrow (Aimophila cassinii), and Loggerhead Shrike (Lanius ludovicianus). Native grasslands consistently supported greater bird species richness than exotic grasslands. In one winter, exotic grasslands supported more birds than native grasslands.
Native grasslands were determined to have more forb cover, more bare ground, and greater plant species richness than exotic grasslands, whereas exotic grasslands were characterized by more grass cover and relatively greater vegetation density during dry years. Not only did these individual measures differ between native and exotic grasslands, but components of variation also differed. In native grasslands, grass density and cover contributed more to variation, whereas in exotic grasslands, non-grass vegetation was a greater component of variation. Total bird numbers and bird species richness in native grasslands were related to the principal component that contained a measure of litter cover. Total bird numbers and bird species richness in exotic grasslands indicated no significant relationships with any of the principal components of variation.
The two most common insect orders in native grasslands were Hymenoptera and Coleoptera, which accounted for 42 percent of all insects. The two most common insect orders in exotic grasslands were Hemiptera and Homoptera, which accounted for about 80 percent of all insects. Insect family richness was greater in exotic grasslands than in native grasslands in two of four seasons. Proportions of arachnid families were similar in native and exotic grasslands, but arachnid family richness was greater in exotic grasslands than in native grasslands.
Abundance of seeds was greater in exotic than in native grasslands. However, seed diversity was greater in native grasslands than in exotic grasslands.
Among the three types of management (mowed, burned, and control) applied to exotic grasses, birds were most abundant in the mowed area. Sedge Wrens, however, were never encountered in mowed sites. Meadowlarks were similarly abundant in all treatments, but Le Conte’s Sparrows were detected only in the control (unmanaged) area. Hispid cotton rats (Sigmodon hispidus) accounted for 93 percent of all rodent captures, with the number of captures peaking December through February. Hispid cotton rat numbers and total rodent numbers were greatest in control and pre-burn areas, and lowest in the mowed area. Mammal diversity, however, was greatest in the mowed habitat.
Native and exotic grasslands differed essentially in all categories (bird numbers and diversity, vegetation characteristics, components of variation, diversity of insects and arachnids, and seed abundance and diversity) used to measure and compare them. This indicates that fundamental ecosystem processes have been altered after native grasslands have undergone invasion and ultimate domination by exotic grass species. Future research in Texas grassland ecosystems is essential because: 1) Texas sustains more area in grasslands than any other state or province in the Central Flyway; 2) Texas serves as the winter destination or migration pathway for hundreds of species of birds, including winter residents and Neotropical migrants; 3) ecology, distribution, and numbers of grassland birds wintering in southern latitudes of the United States remains poorly understood; and 4) climate change threatens to further accelerate advances of invading grass species.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101115","collaboration":"Prepared in cooperation with Texas A&M University-Corpus Christi\r\n","usgsCitation":"Woodin, M.C., Skoruppa, M.K., Bryan, P.D., Ruddy, A.J., and Hickman, G.C., 2010, Grassland birds wintering at U.S. Navy facilities in southern Texas: U.S. Geological Survey Open-File Report 2010-1115, viii, 47 p., https://doi.org/10.3133/ofr20101115.","productDescription":"viii, 47 p.","numberOfPages":"60","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":116037,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1115.jpg"},{"id":341728,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1115/pdf/OFR2010-1115.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":13947,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1115/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100,26 ], [ -100,29 ], [ -96,29 ], [ -96,26 ], [ -100,26 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abae4b07f02db672349","contributors":{"authors":[{"text":"Woodin, Marc C.","contributorId":56316,"corporation":false,"usgs":true,"family":"Woodin","given":"Marc","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skoruppa, Mary Kay","contributorId":24872,"corporation":false,"usgs":true,"family":"Skoruppa","given":"Mary","email":"","middleInitial":"Kay","affiliations":[],"preferred":false,"id":305712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryan, Pearce D.","contributorId":70873,"corporation":false,"usgs":true,"family":"Bryan","given":"Pearce","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":305714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruddy, Amanda J.","contributorId":9366,"corporation":false,"usgs":true,"family":"Ruddy","given":"Amanda","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":305711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hickman, Graham C.","contributorId":92354,"corporation":false,"usgs":true,"family":"Hickman","given":"Graham","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":305715,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236420,"text":"70236420 - 2010 - Modeling the effects of wave climate and sediment supply variability on large-scale shoreline change","interactions":[],"lastModifiedDate":"2022-09-06T16:54:31.641672","indexId":"70236420","displayToPublicDate":"2010-08-01T11:32:36","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of wave climate and sediment supply variability on large-scale shoreline change","docAbstract":"The application of an integrated data analysis and modeling scheme reveals that decadal-scale shoreline evolution along a U.S. Pacific Northwest littoral cell is highly dependent on both sediment supply and wave climate variability. In particular, accurate estimates of (Columbia River) sediment supply and sediment feeding from the lower shoreface are critical components of balancing the barrier beach sediment budget and are therefore essential to making sensible shoreline change hindcasts and forecasts. A simple deterministic one-line shoreline change model, applied in a quasi-probabilistic manner, enables evaluation of the influence of sediment supply and wave climate variability through simulation of historical shoreline change. Through iteration, a range of realistic scenarios are developed to constrain decadal-scale shoreline change predictions. Modeled shoreline changes are significantly sensitive to directional changes in the incident waves, and therefore sensitive to the occurrence of interannual climatic fluctuations such as major El Niño events. A predicted increase in the intensity of the east Pacific wave climate (1.0 m increase in significant wave height in 20 yr) affects forecast shoreline positions only when this increase occurs during the winter storm season. However, the effect of this increase in storm power during any given year is small relative to the impact of major El Niño events. The model has significant skill in decadal-scale hindcasts suggesting that alongshore gradients in sediment transport dominate coastal change at this scale at this site. However, both data and model results suggest that net onshore feeding from the lower shoreface is responsible for approximately 20% of the decadal-scale coastal change. Field measurements and poor model skill at annual scale indicate that cross-shore processes likely dominate coastal change at shorter time scales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2010.02.008","usgsCitation":"Ruggiero, P., Buijsman, M.C., Kaminsky, G.M., and Gelfenbaum, G.R., 2010, Modeling the effects of wave climate and sediment supply variability on large-scale shoreline change: Marine Geology, v. 273, no. 1-4, p. 127-140, https://doi.org/10.1016/j.margeo.2010.02.008.","productDescription":"14 p.","startPage":"127","endPage":"140","costCenters":[],"links":[{"id":406244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Grays Harbor, Willapa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.26635742187501,\n 47.12995075666307\n ],\n [\n -124.03564453125,\n 45.72152152227954\n ],\n [\n -122.89306640624999,\n 45.82879925192134\n ],\n [\n -122.98095703125,\n 47.03269459852135\n ],\n [\n -124.26635742187501,\n 47.12995075666307\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"273","issue":"1-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":850944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buijsman, Maarten C.","contributorId":76340,"corporation":false,"usgs":true,"family":"Buijsman","given":"Maarten","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":850945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaminsky, George M.","contributorId":83150,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":850946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":850947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}