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":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky 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":98722,"text":"ofr20101184 - 2010 - Dependence of frictional strength on compositional variations of Hayward fault rock gouges","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"ofr20101184","displayToPublicDate":"2010-09-22T00:00:00","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":"2010-1184","title":"Dependence of frictional strength on compositional variations of Hayward fault rock gouges","docAbstract":"The northern termination of the locked portion of the Hayward Fault near Berkeley, California, is found to coincide with the transition from strong Franciscan metagraywacke to melange on the western side of the fault. Both of these units are juxtaposed with various serpentinite, gabbro and graywacke units to the east, suggesting that the gouges formed within the Hayward Fault zone may vary widely due to the mixing of adjacent rock units and that the mechanical behavior of the fault would be best modeled by determining the frictional properties of mixtures of the principal rock types. To this end, room temperature, water-saturated, triaxial shearing tests were conducted on binary and ternary mixtures of fine-grained gouges prepared from serpentinite and gabbro from the Coast Range Ophiolite, a Great Valley Sequence graywacke, and three different Franciscan Complex metasedimentary rocks. \r\n\r\nFriction coefficients ranged from 0.36 for the serpentinite to 0.84 for the gabbro, with four of the rock types having coefficients of friction ranging from 0.67-0.84. The friction coefficients of the mixtures can be predicted reliably by a simple weighted average of the end-member dry-weight percentages and strengths for all samples except those containing serpentinite. For the serpentinite mixtures, a linear trend between end-member values slightly overestimates the coefficients of friction in the midcomposition ranges. The range in strength for these rock admixtures suggests that both theoretical and numerical modeling of the fault should attempt to account for variations in rock and gouge properties. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101184","usgsCitation":"Morrow, C.A., Moore, D.E., and Lockner, D.A., 2010, Dependence of frictional strength on compositional variations of Hayward fault rock gouges: U.S. Geological Survey Open-File Report 2010-1184, iii, 17 p.; 2 Tables, https://doi.org/10.3133/ofr20101184.","productDescription":"iii, 17 p.; 2 Tables","onlineOnly":"Y","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"links":[{"id":115962,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1184.jpg"},{"id":14130,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1184/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.4,37.5 ], [ -122.4,38.1 ], [ -121.8,38.1 ], [ -121.8,37.5 ], [ -122.4,37.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab1e4b07f02db66eabd","contributors":{"authors":[{"text":"Morrow, Carolyn A. 0000-0003-3500-6181 cmorrow@usgs.gov","orcid":"https://orcid.org/0000-0003-3500-6181","contributorId":3206,"corporation":false,"usgs":true,"family":"Morrow","given":"Carolyn","email":"cmorrow@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":306233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":306232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":306231,"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":70236325,"text":"70236325 - 2010 - Space geodetic data improve seismic hazard assessment in California: Workshop on incorporating geodetic surface deformation data Into UCERF3; Pomona, California, 1–2 April 2010","interactions":[],"lastModifiedDate":"2022-09-01T17:08:38.3826","indexId":"70236325","displayToPublicDate":"2010-09-21T12:00:15","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7458,"text":"Eos Science News","active":true,"publicationSubtype":{"id":10}},"title":"Space geodetic data improve seismic hazard assessment in California: Workshop on incorporating geodetic surface deformation data Into UCERF3; Pomona, California, 1–2 April 2010","docAbstract":"A workshop was held to begin scientific consideration of how to incorporate space geodetic constraints on strain rates and fault slip rates into the next generation Uniform California Earthquake Rupture Forecast, version 3 (UCERF3), due to be completed in mid-2012. Principal outcomes of the meeting were (1) an assessment of secure science ready for UCERF3 applications within the next year, and (2) an agenda of new research objectives for the Southern California Earthquake Center (SCEC), the U.S. Geological Survey (USGS), and others in support of UCERF3 and related probabilistic seismic hazard assessments (PSHA).
A number of goals potentially achievable within a year were identified, including (1) slip rate and fault locking depth estimates, with uncertainties or ranges, for all major and some minor faults of the extended San Andreas system; (2) strain rate estimates or bounds on rates for selected regions lying off the major faults of the San Andreas system; and (3) corrections or bounds on perturbing effects of postseismic deformation and elastic modulus heterogeneities on the observed Global Positioning System (GPS) velocity field (needed as input to models for estimating fault slip and strain rates in goals 1 and 2 above).
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010EO380007","usgsCitation":"Hearn, E., Johnson, K., and Thatcher, W.R., 2010, Space geodetic data improve seismic hazard assessment in California: Workshop on incorporating geodetic surface deformation data Into UCERF3; Pomona, California, 1–2 April 2010: Eos Science News, v. 91, no. 38, p. 336-336, https://doi.org/10.1029/2010EO380007.","productDescription":"1 p.","startPage":"336","endPage":"336","costCenters":[],"links":[{"id":406079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Pomona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.82150268554686,\n 34.01794931066773\n ],\n [\n -117.68142700195311,\n 34.01794931066773\n ],\n [\n -117.68142700195311,\n 34.09105159333242\n ],\n [\n -117.82150268554686,\n 34.09105159333242\n ],\n [\n -117.82150268554686,\n 34.01794931066773\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"38","noUsgsAuthors":false,"publicationDate":"2011-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Hearn, E.H.","contributorId":33458,"corporation":false,"usgs":true,"family":"Hearn","given":"E.H.","email":"","affiliations":[],"preferred":false,"id":850615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, K.","contributorId":219663,"corporation":false,"usgs":false,"family":"Johnson","given":"K.","email":"","affiliations":[],"preferred":false,"id":850616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thatcher, Wayne R. 0000-0001-6324-545X thatcher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-545X","contributorId":2599,"corporation":false,"usgs":true,"family":"Thatcher","given":"Wayne","email":"thatcher@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850617,"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":70160546,"text":"70160546 - 2010 - Predicted effects of climate warming on the distribution of 50 stream fishes in Wisconsin, U.S.A.","interactions":[],"lastModifiedDate":"2015-12-22T15:50:31","indexId":"70160546","displayToPublicDate":"2010-09-21T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Predicted effects of climate warming on the distribution of 50 stream fishes in Wisconsin, U.S.A.","docAbstract":"Summer air and stream water temperatures are expected to rise in the state of Wisconsin, U.S.A., over the next 50 years. To assess potential climate warming effects on stream fishes, predictive models were developed for 50 common fish species using classification-tree analysis of 69 environmental variables in a geographic information system. Model accuracy was 56·0–93·5% in validation tests. Models were applied to all 86 898 km of stream in the state under four different climate scenarios: current conditions, limited climate warming (summer air temperatures increase 1° C and water 0·8° C), moderate warming (air 3° C and water 2·4° C) and major warming (air 5° C and water 4° C). With climate warming, 23 fishes were predicted to decline in distribution (three to extirpation under the major warming scenario), 23 to increase and four to have no change. Overall, declining species lost substantially more stream length than increasing species gained. All three cold-water and 16 cool-water fishes and four of 31 warm-water fishes were predicted to decline, four warm-water fishes to remain the same and 23 warm-water fishes to increase in distribution. Species changes were predicted to be most dramatic in small streams in northern Wisconsin that currently have cold to cool summer water temperatures and are dominated by cold-water and cool-water fishes, and least in larger and warmer streams and rivers in southern Wisconsin that are currently dominated by warm-water fishes. Results of this study suggest that even small increases in summer air and water temperatures owing to climate warming will have major effects on the distribution of stream fishes in Wisconsin.
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D.","contributorId":150808,"corporation":false,"usgs":false,"family":"Lyons","given":"John D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":583108,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Matt Mitro","contributorId":150819,"corporation":false,"usgs":false,"family":"Matt Mitro","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":583109,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70179739,"text":"70179739 - 2010 - Glimpses of East Antarctica: Aeromagnetic and satellite magnetic view from the central Transantarctic Mountains of East Antarctica","interactions":[],"lastModifiedDate":"2017-01-18T10:59:41","indexId":"70179739","displayToPublicDate":"2010-09-21T00:00:00","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}},"title":"Glimpses of East Antarctica: Aeromagnetic and satellite magnetic view from the central Transantarctic Mountains of East Antarctica","docAbstract":"Aeromagnetic and satellite magnetic data provide glimpses of the crustal architecture within the Ross Sea sector of the enigmatic, ice-covered East Antarctic shield critical for understanding both global tectonic and climate history. In the central Transantarctic Mountains (CTAM), exposures of Precambrian basement, coupled with new high-resolution magnetic data, other recent aeromagnetic transects, and satellite magnetic and seismic tomography data, show that the shield in this region comprises an Archean craton modified both by Proterozoic magmatism and early Paleozoic orogenic basement reactivation. CTAM basement structures linked to the Ross Orogeny are imaged 50–100 km farther west than previously mapped, bounded by inboard upper crustal Proterozoic granites of the Nimrod igneous province. Magnetic contrasts between craton and rift margin sediments define the Neoproterozoic rift margin, likely reactivated during Ross orogenesis and Jurassic extension. Interpretation of satellite magnetic and aeromagnetic patterns suggests that the Neoproterozoic rift margin of East Antarctica is offset by transfer zones to form a stepwise series of salients tracing from the CTAM northward through the western margin of the Wilkes Subglacial Basin to the coast at Terre Adélie. Thinned Precambrian crust inferred to lie east of the rift margin cannot be imaged magnetically because of modification by Neoproterozoic and younger tectonic events.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009JB006890","usgsCitation":"Finn, C.A., and Goodge, J.W., 2010, Glimpses of East Antarctica: Aeromagnetic and satellite magnetic view from the central Transantarctic Mountains of East Antarctica: Journal of Geophysical Research B: Solid Earth, v. 115, no. B9, B09103; 22 p., https://doi.org/10.1029/2009JB006890.","productDescription":"B09103; 22 p.","ipdsId":"IP-015883","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":475669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009jb006890","text":"Publisher Index Page"},{"id":333327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","volume":"115","issue":"B9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-09-21","publicationStatus":"PW","scienceBaseUri":"58808d72e4b01dfadfff1559","contributors":{"authors":[{"text":"Finn, Carol A. 0000-0002-6178-0405 cfinn@usgs.gov","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":1326,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","email":"cfinn@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":658482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodge, John W.","contributorId":178318,"corporation":false,"usgs":false,"family":"Goodge","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":658483,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70187064,"text":"70187064 - 2010 - Geologic controls on the recent evolution of oyster reefs in Apalachicola Bay and St. George Sound, Florida","interactions":[],"lastModifiedDate":"2017-04-21T09:05:35","indexId":"70187064","displayToPublicDate":"2010-09-20T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Geologic controls on the recent evolution of oyster reefs in Apalachicola Bay and St. George Sound, Florida","docAbstract":"Apalachicola Bay and St. George Sound contain the largest oyster fishery in Florida, and the growth and distribution of the numerous oyster reefs here are the combined product of modern estuarine conditions in the bay and its late Holocene evolution. Sidescan-sonar imagery, bathymetry, high-resolution seismic profiles, and sediment cores show that oyster beds occupy the crests of a series of shoals that range from 1 to 7 km in length, trend roughly north-south perpendicular to the long axes of the bay and sound, and are asymmetrical with steeper sides facing to the west. Surface sediment samples show that the oyster beds consist of shelly sand, while much of the remainder of the bay floor is covered by mud delivered by the Apalachicola River. The present oyster reefs rest on sandy delta systems that advanced southward across the region between 6400 and 4400 yr BP when sea level was 4–6 m lower than present. Oysters started to colonize the region around 5100 yr BP and became extensive by 1200 and 2400 yr BP. Since 1200 yr BP, their aerial extent has decreased due to burial of the edges of the reefs by the prodelta mud that continues to be supplied by the Apalachicola River. Oyster reefs that are still active are narrower than the original beds, have grown vertically, and become asymmetrical in cross-section. Their internal bedding indicates they have migrated westward, suggesting a net westerly transport of sediment in the bay.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.ecss.2010.04.019","usgsCitation":"Twichell, D., Edmiston, L., Andrews, B., Stevenson, W., Donoghue, J., Poore, R.Z., and Osterman, L.E., 2010, Geologic controls on the recent evolution of oyster reefs in Apalachicola Bay and St. George Sound, Florida: Estuarine, Coastal and Shelf Science, v. 88, no. 3, p. 385-394, https://doi.org/10.1016/j.ecss.2010.04.019.","productDescription":"10 p.","startPage":"385","endPage":"394","ipdsId":"IP-017294","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475670,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3651","text":"External Repository"},{"id":340066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola Bay, St. George Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.166667,\n 29.583333\n ],\n [\n -84.716667,\n 29.583333\n ],\n [\n -84.716667,\n 29.8\n ],\n [\n -85.166667,\n 29.8\n ],\n [\n -85.166667,\n 29.583333\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58fb1a50e4b0c3010a8087df","contributors":{"authors":[{"text":"Twichell, D.","contributorId":53144,"corporation":false,"usgs":true,"family":"Twichell","given":"D.","affiliations":[],"preferred":false,"id":692349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edmiston, L.","contributorId":191194,"corporation":false,"usgs":false,"family":"Edmiston","given":"L.","email":"","affiliations":[],"preferred":false,"id":692280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Brian bandrews@usgs.gov","contributorId":190622,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":692275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevenson, W.","contributorId":191195,"corporation":false,"usgs":false,"family":"Stevenson","given":"W.","email":"","affiliations":[],"preferred":false,"id":692281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donoghue, J.","contributorId":191193,"corporation":false,"usgs":false,"family":"Donoghue","given":"J.","email":"","affiliations":[],"preferred":false,"id":692279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":147454,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":692278,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osterman, Lisa E. osterman@usgs.gov","contributorId":3058,"corporation":false,"usgs":true,"family":"Osterman","given":"Lisa","email":"osterman@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":692277,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":98715,"text":"ofr20101188 - 2010 - Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California; 2009","interactions":[],"lastModifiedDate":"2022-10-13T18:52:05.41074","indexId":"ofr20101188","displayToPublicDate":"2010-09-18T00:00:00","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":"2010-1188","title":"Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California; 2009","docAbstract":"Results reported herein include trace element concentrations in sediment and in the clam Macoma petalum (formerly reported as Macoma balthica(Cohen and Carlton, 1995)), clam reproductive activity, and benthic macroinvertebrate community structure for a mudflat one kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in South San Francisco Bay. This report includes data collected for the period January 2009 to December 2009 and extends a critical long-term biogeochemical record dating back to 1974. These data serve as the basis for the City of Palo Alto’s Near-Field Receiving Water Monitoring Program, initiated in 1994.
In 2009, metal concentrations in both sediments and clam tissue were among the lowest concentrations on record and consistent with results observed since 1991. Following significant reductions in the late 1980s, silver (Ag) and copper (Cu) concentrations appeared to have stabilized. Annual mean concentrations have fluctuated modestly (2–4 fold) in a nondirectional manner. Data for other metals, including chromium, mercury, nickel, selenium, vanadium, and zinc, have been collected since 1994. Over this period, concentrations of these elements, which more likely reflect regional inputs and systemwide processes, have remained relatively constant, aside from typical seasonal variation that is common to all elements. Within years, the winter months (January–March) generally exhibit maximum concentrations, with a decline to annual minima in spring through fall. Mercury (Hg) in sediments and M. petalum were comparable to concentrations observed in 2008 and were generally consistent with data from previous years. Selenium (Se) concentrations in sediment varied among years and showed no sustained temporal trend. In 2009, sedimentary Se concentrations declined from the record high concentrations observed in 2008 to concentrations that were among the lowest on record. Selenium in M. petalum was unchanged from 2008. Overall, Cu and Ag concentrations in sediments and soft tissues of the clam, M. petalum, remained representative of the concentrations observed since 1991 following significant reductions in the discharge of these elements from the PARWQCP. This suggests that, as with other elements of regulatory interest, regional-scale factors now largely influence sedimentary and bioavailable concentrations of Ag and Cu.
Analyses of the benthic community structure of a mudflat in South San Francisco Bay over a 36-year period show that changes in the community have occurred concurrent with reduced concentrations of metals in the sediment and in the tissues of the biosentinel clam, M. petalum, from the same area. Analysis of the reproductive activity of M. petalum shows increases in reproductive activity concurrent with the decline in metal concentrations in the tissues of this organism. Reproductive activity is presently stable, with almost all animals initiating reproduction in the fall and spawning the following spring of most years. The community has shifted from being dominated by several opportunistic species to a community where the species are more similar in abundance, a pattern that suggests a more stable community that is subjected to fewer stressors. In addition, two of the opportunistic species (Ampelisca abdita and Streblospio benedicti) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals; both species had short-lived rebounds in abundance in 2008 and 2009. Heteromastus filiformis (a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance, with the last several years prior to 2008 showing a stable population. An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for those deep-dwelling animals like Macoma petalum. Animals immediately returned to the mudflat in 2008, which was the first indication that the disturbance was not due to a persistent toxin or to anoxia. The use of functional ecology was highlighted in the 2009 benthic community data, which show that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today we see plenty of animals that consume the sediment, have pelagic larvae that must survive landing on the sediment, and in some cases have eggs that must survive being laid in the sediment. We continue to observe the community’s response to the defaunation event, because it allows us to examine the response of the community to a natural disturbance (possible causes include sediment accretion or freshwater inundation) and compare this recovery to the longer-term recovery we observed in the 1970s, when the decline in sediment pollutants was the dominating factor.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101188","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Dyke, J., Parchaso, J.K., Thompson, J.K., Cain, D.J., Luoma, S.N., and Hornberger, M.I., 2010, Near-field receiving water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California; 2009: U.S. Geological Survey Open-File Report 2010-1188, ix, 142 p., https://doi.org/10.3133/ofr20101188.","productDescription":"ix, 142 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":434,"text":"National Research Program","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":115958,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1188.jpg"},{"id":408268,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94254.htm","linkFileType":{"id":5,"text":"html"}},{"id":14123,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1188/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1022,\n 37.4514\n ],\n [\n -122.1178,\n 37.4514\n ],\n [\n -122.1178,\n 37.4639\n ],\n [\n -122.1022,\n 37.4639\n ],\n [\n -122.1022,\n 37.4514\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db697f58","contributors":{"authors":[{"text":"Dyke, Jessica jldyke@usgs.gov","contributorId":1035,"corporation":false,"usgs":true,"family":"Dyke","given":"Jessica","email":"jldyke@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":306211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parchaso, Janet K.","contributorId":39906,"corporation":false,"usgs":true,"family":"Parchaso","given":"Janet","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":306215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":306210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - 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2010 - Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2009","interactions":[],"lastModifiedDate":"2023-03-22T18:28:52.145151","indexId":"ds531","displayToPublicDate":"2010-09-17T00:00:00","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":"531","title":"Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2009","docAbstract":"Between January 1 and December 31, 2009, the Alaska Volcano Observatory (AVO) located 8,829 earthquakes, of which 7,438 occurred within 20 kilometers of the 33 volcanoes with seismograph subnetworks. Monitoring highlights in 2009 include the eruption of Redoubt Volcano, as well as unrest at Okmok Caldera, Shishaldin Volcano, and Mount Veniaminof. Additionally severe seismograph subnetwork outages resulted in four volcanoes (Aniakchak, Fourpeaked, Korovin, and Veniaminof) being removed from the formal list of monitored volcanoes in late 2009. This catalog includes descriptions of: (1) locations of seismic instrumentation deployed during 2009; (2) earthquake detection, recording, analysis, and data archival systems; (3) seismic velocity models used for earthquake locations; (4) a summary of earthquakes located in 2009; and (5) an accompanying UNIX tar-file with a summary of earthquake origin times, hypocenters, magnitudes, phase arrival times, location quality statistics, daily station usage statistics, all files used to determine the earthquake locations in 2009, and a dataless SEED volume for the AVO seismograph network.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds531","usgsCitation":"Dixon, J.P., Stihler, S.D., Power, J.A., and Searcy, C.K., 2010, Catalog of earthquake hypocenters at Alaskan volcanoes: January 1 through December 31, 2009: U.S. Geological Survey Data Series 531, Report: iv, 84 p.; Seismic Catalog Zip File, https://doi.org/10.3133/ds531.","productDescription":"Report: iv, 84 p.; Seismic Catalog Zip File","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":414558,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94256.htm","linkFileType":{"id":5,"text":"html"}},{"id":126377,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_531.jpg"},{"id":14122,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/531/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -143.5,\n 62.0333\n ],\n [\n -178.4,\n 62.0333\n ],\n [\n -178.4,\n 51.9\n ],\n [\n -143.5,\n 51.9\n ],\n [\n -143.5,\n 62.0333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f0e4b07f02db5ee087","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":306207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D.","contributorId":31373,"corporation":false,"usgs":true,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Power, John A. 0000-0002-7233-4398 jpower@usgs.gov","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":2768,"corporation":false,"usgs":true,"family":"Power","given":"John","email":"jpower@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":306206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Searcy, Cheryl K.","contributorId":107013,"corporation":false,"usgs":true,"family":"Searcy","given":"Cheryl","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":306209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98706,"text":"sir20101224 - 2010 - Approach, passage, and survival of juvenile salmonids at Little Goose Dam, Washington: Post-construction evaluation of a temporary spillway weir, 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sir20101224","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":"2010-1224","title":" Approach, passage, and survival of juvenile salmonids at Little Goose Dam, Washington: Post-construction evaluation of a temporary spillway weir, 2009","docAbstract":"This report describes a study of dam passage and survival of radio-tagged juvenile salmonids after installation of a temporary spillway weir (TSW) at Little Goose Dam, Washington, in 2009. The purpose of the study was to document fish passage and survival when the dam was operated with the TSW in place. Spillway weirs are one of several methods used to improve downstream passage of juvenile salmonids. Each spillway weir design is based on the concept of providing an overflow weir with a depth more similar to the natural migration depth of juvenile salmonids than conventional spill bays. Little Goose Dam was the last of the four lower Snake River dams to have a spillway weir installed. This was the first year that some form of surface passage device was operating at all Snake River and Columbia River dams between Lewiston, Idaho, and the Columbia River estuary.\r\n\r\nThe study design stipulated that a total of 30 percent of the river discharge would continuously be passed over the TSW and the conventional spill bays, and this percentage was achieved. The TSW also was to be operated at the ?low crest? elevation during the spring and the ?high crest? elevation during the summer, but the TSW was only operated at the low crest elevation during this study.\r\n\r\nBehavior, passage, and survival of spring and summer juvenile salmonid migrants passing through Little Goose Dam were examined using radio telemetry. Survival was estimated using the Route Specific Survival Model (RSSM) by releasing tagged fish near Central Ferry State Park 21 kilometers upstream of the dam and in the tailrace approximately 0.5 kilometer downstream of the dam. From April 18 to May 21, 2009, 1,520 yearling Chinook salmon (Oncorhynchus tshawytscha) and 1,517 juvenile steelhead (O. mykiss) were radio tagged and released. From June 6 to July 5, 2009, 4,251 subyearling Chinook salmon (O. tshawytscha) were radio tagged and released. Release dates of subyearling Chinook salmon were selected to avoid ?reservoir-type? fish that cease to migrate around July. Detection sites were installed in the forebay 2 kilometers upstream of the dam, on the dam, and at several sites downstream. Detection equipment was operated from April 18 to June 5, 2009, and from June 6 to July 6, 2009, hereinafter referred to as the study periods. We describe passage behaviors through the forebay, main passage routes, and tailrace, survival probabilities through the pool (release to the forebay) and forebay and passage and survival probabilities through the main passage routes (TSW, conventional spill bays, turbines, juvenile bypass), and survival passing the concrete (the dam itself) and the dam (concrete plus the forebay).\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20101224","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Beeman, J.W., Braatz, A.C., Hansel, H.C., Fielding, S.D., Haner, P.V., Hansen, G.S., Shurtleff, D.J., Sprando, J.M., and Rondorf, D.W., 2010, Approach, passage, and survival of juvenile salmonids at Little Goose Dam, Washington: Post-construction evaluation of a temporary spillway weir, 2009: U.S. Geological Survey Scientific Investigations Report 2010-1224, viii, 74 p.; Appendices, https://doi.org/10.3133/sir20101224.","productDescription":"viii, 74 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":115927,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_1224.jpg"},{"id":14114,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1224/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,44 ], [ -120,47 ], [ -115,47 ], [ -115,44 ], [ -120,44 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48fee4b0b290850eec9a","contributors":{"authors":[{"text":"Beeman, John W. jbeeman@usgs.gov","contributorId":2646,"corporation":false,"usgs":true,"family":"Beeman","given":"John","email":"jbeeman@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braatz, Amy C.","contributorId":57989,"corporation":false,"usgs":true,"family":"Braatz","given":"Amy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":306185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansel, Hal C. 0000-0002-3537-8244 hhansel@usgs.gov","orcid":"https://orcid.org/0000-0002-3537-8244","contributorId":2887,"corporation":false,"usgs":true,"family":"Hansel","given":"Hal","email":"hhansel@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fielding, Scott D.","contributorId":41115,"corporation":false,"usgs":true,"family":"Fielding","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":306184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haner, Philip V. 0000-0001-6940-487X phaner@usgs.gov","orcid":"https://orcid.org/0000-0001-6940-487X","contributorId":2364,"corporation":false,"usgs":true,"family":"Haner","given":"Philip","email":"phaner@usgs.gov","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Gabriel S. 0000-0001-6272-3632 ghansen@usgs.gov","orcid":"https://orcid.org/0000-0001-6272-3632","contributorId":3422,"corporation":false,"usgs":true,"family":"Hansen","given":"Gabriel","email":"ghansen@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shurtleff, Dana J. dshurtleff@usgs.gov","contributorId":3421,"corporation":false,"usgs":true,"family":"Shurtleff","given":"Dana","email":"dshurtleff@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":306181,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sprando, Jamie M. jsprando@usgs.gov","contributorId":4005,"corporation":false,"usgs":true,"family":"Sprando","given":"Jamie","email":"jsprando@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rondorf, Dennis W. drondorf@usgs.gov","contributorId":2970,"corporation":false,"usgs":true,"family":"Rondorf","given":"Dennis","email":"drondorf@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":306180,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"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":98711,"text":"sim3103 - 2010 - Conifer health classification for Colorado, 2008","interactions":[],"lastModifiedDate":"2012-02-10T00:11:56","indexId":"sim3103","displayToPublicDate":"2010-09-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3103","title":"Conifer health classification for Colorado, 2008","docAbstract":"Colorado has undergone substantial changes in forests due to urbanization, wildfires, insect-caused tree mortality, and other human and environmental factors. The U.S. Geological Survey Rocky Mountain Geographic Science Center evaluated and developed a methodology for applying remotely-sensed imagery for assessing conifer health in Colorado. Two classes were identified for the purposes of this study: healthy and unhealthy (for example, an area the size of a 30- x 30-m pixel with 20 percent or greater visibly dead trees was defined as ?unhealthy?). \r\n\r\nMedium-resolution Landsat 5 Thematic Mapper imagery were collected. The normalized, reflectance-converted, cloud-filled Landsat scenes were merged to form a statewide image mosaic, and a Normalized Difference Vegetation Index (NDVI) and Renormalized Difference Infrared Index (RDII) were derived. \r\n\r\nA supervised maximum likelihood classification was done using the Landsat multispectral bands, the NDVI, the RDII, and 30-m U.S. Geological Survey National Elevation Dataset (NED). The classification was constrained to pixels identified in the updated landcover dataset as coniferous or mixed coniferous/deciduous vegetation. The statewide results were merged with a separate health assessment of Grand County, Colo., produced in late 2008. \r\n\r\nSampling and validation was done by collecting field data and high-resolution imagery. The 86 percent overall classification accuracy attained in this study suggests that the data and methods used successfully characterized conifer conditions within Colorado. Although forest conditions for Lodgepole Pine (Pinus contorta) are easily characterized, classification uncertainty exists between healthy/unhealthy Ponderosa Pine (Pinus ponderosa), Pi?on (Pinus edulis), and Juniper (Juniperus sp.) vegetation. Some underestimation of conifer mortality in Summit County is likely, where recent (2008) cloud-free imagery was unavailable. These classification uncertainties are primarily due to the spatial and temporal resolution of Landsat, and of the NLCD derived from this sensor. It is believed that high- to moderate-resolution multispectral imagery, coupled with field data, could significantly reduce the uncertainty rates. The USGS produced a four-county follow-up conifer health assessment using high-resolution RapidEye remotely sensed imagery and field data collected in 2009. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3103","usgsCitation":"Cole, C.J., Noble, S.M., Blauer, S.L., Friesen, B.A., Curry, S.E., and Bauer, M., 2010, Conifer health classification for Colorado, 2008: U.S. Geological Survey Scientific Investigations Map 3103, iv, 11 p.;, https://doi.org/10.3133/sim3103.","productDescription":"iv, 11 p.;","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"links":[{"id":115930,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3103.jpg"},{"id":14119,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3103/","linkFileType":{"id":5,"text":"html"}}],"scale":"650000","projection":"Albers Conical Equal Area Projection","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109,37 ], [ -109,41 ], [ -102,41 ], [ -102,37 ], [ -109,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a80ed","contributors":{"authors":[{"text":"Cole, Christopher J. cjcole@usgs.gov","contributorId":2163,"corporation":false,"usgs":true,"family":"Cole","given":"Christopher","email":"cjcole@usgs.gov","middleInitial":"J.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":306199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Suzanne M. smnoble@usgs.gov","contributorId":3400,"corporation":false,"usgs":true,"family":"Noble","given":"Suzanne","email":"smnoble@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":306201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blauer, Steven L.","contributorId":23644,"corporation":false,"usgs":true,"family":"Blauer","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friesen, Beverly A. bafriesen@usgs.gov","contributorId":3216,"corporation":false,"usgs":true,"family":"Friesen","given":"Beverly","email":"bafriesen@usgs.gov","middleInitial":"A.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":306200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curry, Stacy E.","contributorId":47060,"corporation":false,"usgs":true,"family":"Curry","given":"Stacy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bauer, Mark A. mabauer@usgs.gov","contributorId":1409,"corporation":false,"usgs":true,"family":"Bauer","given":"Mark A.","email":"mabauer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":306198,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98708,"text":"ofr20101221 - 2010 - User's guide for MAGIC-Meteorologic and hydrologic genscn (generate scenarios) input converter","interactions":[],"lastModifiedDate":"2012-03-08T17:16:32","indexId":"ofr20101221","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":"2010-1221","title":"User's guide for MAGIC-Meteorologic and hydrologic genscn (generate scenarios) input converter","docAbstract":"Meteorologic and hydrologic data used in watershed modeling studies are collected by various agencies and organizations, and stored in various formats. Data may be in a raw, un-processed format with little or no quality control, or may be checked for validity before being made available. Flood-simulation systems require data in near real-time so that adequate flood warnings can be made. Additionally, forecasted data are needed to operate flood-control structures to potentially mitigate flood damages. Because real-time data are of a provisional nature, missing data may need to be estimated for use in floodsimulation systems. The Meteorologic and Hydrologic GenScn (Generate Scenarios) Input Converter (MAGIC) can be used to convert data from selected formats into the Hydrologic Simulation System-Fortran hourly-observations format for input to a Watershed Data Management database, for use in hydrologic modeling studies. MAGIC also can reformat the data to the Full Equations model time-series format, for use in hydraulic modeling studies. Examples of the application of MAGIC for use in the flood-simulation system for Salt Creek in northeastern Illinois are presented in this report.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101221","collaboration":"Prepared in cooperation with DuPage County Department of Economic Development and Planning, Stormwater Management Division","usgsCitation":"Ortel, T., and Martin, A., 2010, User's guide for MAGIC-Meteorologic and hydrologic genscn (generate scenarios) input converter: U.S. Geological Survey Open-File Report 2010-1221, iv, 10 p., https://doi.org/10.3133/ofr20101221.","productDescription":"iv, 10 p.","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":126376,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1221.jpg"},{"id":14116,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1221/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dde4b07f02db5e2110","contributors":{"authors":[{"text":"Ortel, Terry W.","contributorId":55119,"corporation":false,"usgs":true,"family":"Ortel","given":"Terry W.","affiliations":[],"preferred":false,"id":306194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Angel Jr.","contributorId":42571,"corporation":false,"usgs":true,"family":"Martin","given":"Angel","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":306193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"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":98709,"text":"sir20105174 - 2010 - Water volume and sediment accumulation in Lake Linganore, Frederick County, Maryland, 2009","interactions":[],"lastModifiedDate":"2023-03-10T12:42:25.789067","indexId":"sir20105174","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":"2010-5174","title":"Water volume and sediment accumulation in Lake Linganore, Frederick County, Maryland, 2009","docAbstract":"To assist in understanding sediment and phosphorus loadings and the management of water resources, a bathymetric survey was conducted at Lake Linganore in Frederick County, Maryland in June 2009 by the U.S. Geological Survey, in cooperation with the City of Frederick and Frederick County, Maryland. Position data and water-depth data were collected using a survey grade echo sounder and a differentially corrected global positioning system. Data were compiled and edited using geographic information system software. A three-dimensional triangulated irregular network model of the lake bottom was created to calculate the volume of stored water in the reservoir. Large-scale topographic maps of the valley prior to inundation in 1972 were provided by the City of Frederick and digitized. The two surfaces were compared and a sediment volume was calculated. Cartographic representations of both water depth and sediment accumulation were produced along with an area/capacity table. An accuracy assessment was completed on the resulting bathymetric model. Vertical accuracy at the 95-percent confidence level for the collected data, the bathymetric surface model, and the bathymetric contour map was calculated to be 0.95 feet, 1.53 feet, and 3.63 feet, respectively.\r\n\r\nThe water storage volume of Lake Linganore was calculated to be 1,860 acre-feet at full pool elevation. Water volume in the reservoir has decreased by 350 acre-feet (about 16 percent) in the 37 years since the dam was constructed. The total calculated volume of sediment deposited in the lake since 1972 is 313 acre-feet. This represents an average rate of sediment accumulation of 8.5 acre-feet per year since Linganore Creek was impounded. A sectional analysis of sediment distribution indicates that the most upstream third of Lake Linganore contains the largest volume of sediment whereas the section closest to the dam contains the largest amount of water. In comparison to other Maryland Piedmont reservoirs, Lake Linganore was found to have one of the lowest sedimentation rates at 0.26 cubic yards per year per acre of drainage area. Sedimentation rates in other comparable Maryland reservoirs were Prettyboy Reservoir (filling at a rate of 2.26 cubic yards per year per acre), Loch Raven Reservoir (filling at a rate of 0.88 cubic yards per year per acre) and Piney Run Reservoir (filling at a negligible rate).","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105174","collaboration":"Prepared in cooperation with Frederick County, Maryland and the City of Frederick, Maryland","usgsCitation":"Sekellick, A.J., and Banks, S., 2010, Water volume and sediment accumulation in Lake Linganore, Frederick County, Maryland, 2009: U.S. Geological Survey Scientific Investigations Report 2010-5174, iv, 14 p., https://doi.org/10.3133/sir20105174.","productDescription":"iv, 14 p.","additionalOnlineFiles":"N","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":115931,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5174.jpg"},{"id":14117,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5174/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.66666666666667,39.25 ], [ -77.66666666666667,39.75 ], [ -77,39.75 ], [ -77,39.25 ], [ -77.66666666666667,39.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48ffe4b0b290850eecb0","contributors":{"authors":[{"text":"Sekellick, Andrew J. 0000-0002-0440-7655 ajsekell@usgs.gov","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":4125,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","email":"ajsekell@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, S.L.","contributorId":30514,"corporation":false,"usgs":true,"family":"Banks","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":306196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98696,"text":"ofr20101195 - 2010 - An occurrence model for the national assessment of volcanogenic beryllium deposits","interactions":[],"lastModifiedDate":"2012-02-02T00:15:44","indexId":"ofr20101195","displayToPublicDate":"2010-09-15T00:00:00","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":"2010-1195","title":"An occurrence model for the national assessment of volcanogenic beryllium deposits","docAbstract":"The general occurrence model summarized here is intended to provide a descriptive basis for the identification and assessment of undiscovered beryllium deposits of a type and style similar to those found at Spor Mountain, Juab County, Utah. The assessment model is restricted in its application in order to provide a coherent basis for assessing the probability of the occurrence of similar economic deposits using the current U.S. Geological Survey methodology. The model is intended to be used to identify tracts of land where volcanogenic epithermal replacement-type beryllium deposits hosted by metaluminous to peraluminous rhyolite are most likely to occur. Only a limited number of deposits or districts of this type are known, and only the ores of the Spor Mountain district have been studied in detail. The model highlights those distinctive aspects and features of volcanogenic epithermal beryllium deposits that pertain to the development of assessment criteria and puts forward a baseline analysis of the geoenvironmental consequences of mining deposits of this type.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101195","usgsCitation":"Foley, N.K., Seal, R., Piatak, N., and Hetland, B., 2010, An occurrence model for the national assessment of volcanogenic beryllium deposits: U.S. Geological Survey Open-File Report 2010-1195, ii, 4 p., https://doi.org/10.3133/ofr20101195.","productDescription":"ii, 4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":126379,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1195.jpg"},{"id":14102,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1195/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db6842ff","contributors":{"authors":[{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":306149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":306148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M.","contributorId":23621,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","affiliations":[],"preferred":false,"id":306150,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hetland, Brianna","contributorId":76855,"corporation":false,"usgs":true,"family":"Hetland","given":"Brianna","email":"","affiliations":[],"preferred":false,"id":306151,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043430,"text":"70043430 - 2010 - Use of portable antennas to estimate abundance of PIT-tagged fish in small streams: Factors affecting detection probability","interactions":[],"lastModifiedDate":"2021-02-02T19:26:22.439164","indexId":"70043430","displayToPublicDate":"2010-09-15T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Use of portable antennas to estimate abundance of PIT-tagged fish in small streams: Factors affecting detection probability","docAbstract":"Portable passive integrated transponder (PIT) tag antenna systems can be valuable in providing reliable estimates of the abundance of tagged Atlantic salmon Salmo salar in small streams under a wide range of conditions. We developed and employed PIT tag antenna wand techniques in two controlled experiments and an additional case study to examine the factors that influenced our ability to estimate population size. We used Pollock's robust‐design capture–mark–recapture model to obtain estimates of the probability of first detection (p), the probability of redetection (c), and abundance (N) in the two controlled experiments. First, we conducted an experiment in which tags were hidden in fixed locations. Although p and c varied among the three observers and among the three passes that each observer conducted, the estimates of N were identical to the true values and did not vary among observers. In the second experiment using free‐swimming tagged fish, p and c varied among passes and time of day. Additionally, estimates of N varied between day and night and among age‐classes but were within 10% of the true population size. In the case study, we used the Cormack–Jolly–Seber model to examine the variation in p, and we compared counts of tagged fish found with the antenna wand with counts collected via electrofishing. In that study, we found that although p varied for age‐classes, sample dates, and time of day, antenna and electrofishing estimates of N were similar, indicating that population size can be reliably estimated via PIT tag antenna wands. However, factors such as the observer, time of day, age of fish, and stream discharge can influence the initial and subsequent detection probabilities.
","language":"English","publisher":"Taylor & Francis Online","doi":"10.1577/M09-008.1","usgsCitation":"O’Donnell, M.J., Horton, G.E., and Letcher, B., 2010, Use of portable antennas to estimate abundance of PIT-tagged fish in small streams: Factors affecting detection probability: North American Journal of Fisheries Management, v. 30, no. 2, p. 323-336, https://doi.org/10.1577/M09-008.1.","productDescription":"14 p.","startPage":"323","endPage":"336","ipdsId":"IP-010123","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":382895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-04-01","publicationStatus":"PW","scienceBaseUri":"51a5d1f0e4b0605bc571f021","contributors":{"authors":[{"text":"O’Donnell, Matthew J. 0000-0002-9089-2377 modonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":2003,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"modonnell@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horton, Gregg E.","contributorId":58928,"corporation":false,"usgs":true,"family":"Horton","given":"Gregg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":473568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":24774,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473567,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98693,"text":"sir20105127 - 2010 - Flood study of the Suncook River in Epsom, Pembroke, and Allenstown, New Hampshire, 2009","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"sir20105127","displayToPublicDate":"2010-09-14T00:00:00","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":"2010-5127","title":"Flood study of the Suncook River in Epsom, Pembroke, and Allenstown, New Hampshire, 2009","docAbstract":"On May 15, 2006, a breach in the riverbank caused an avulsion in the Suncook River in Epsom, NH. The breach in the riverbank and subsequent avulsion changed the established flood zones along the Suncook River; therefore, a new flood study was needed to reflect this change and aid in flood recovery and restoration. For this flood study, the hydrologic and hydraulic analyses for the Suncook River were conducted by the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency.\r\n\r\nThis report presents water-surface elevations and profiles determined using the U.S. Army Corps of Engineers one-dimensional Hydrologic Engineering Center River Analysis System model, also known as HEC-RAS. Steady-state water-surface profiles were developed for the Suncook River from its confluence with the Merrimack River in the Village of Suncook (in Allenstown and Pembroke, NH) to the upstream corporate limit of the town of Epsom, NH (approximately 15.9 river miles). Floods of magnitudes that are expected to be equaled or exceeded once on the average during any 2-, 5-, 10-, 25-, 50-, 100-, or 500-year period (recurrence interval) were modeled using HEC-RAS. These flood events are referred to as the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year floods and have a 50-, 20-, 10-, 4-, 2-, 1-, and 0.2-percent chance, respectively, of being equaled or exceeded during any year. The 10-, 50-, 100-, and 500-year flood events are important for flood-plain management, determination of flood-insurance rates, and design of structures such as bridges and culverts. The analyses in this study reflect flooding potentials that are based on existing conditions in the communities of Epsom, Pembroke, and Allenstown at the time of completion of this study (2009). Changes in the 100-year recurrence-interval flood elevation from the 1979 flood study were typically less than 2 feet with the exception of a location 900 feet upstream from the avulsion that, because of backwater from the dams in the abandoned channel, was 12 feet higher in the 1979 flood study than in this study.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105127","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Flynn, R.H., 2010, Flood study of the Suncook River in Epsom, Pembroke, and Allenstown, New Hampshire, 2009: U.S. Geological Survey Scientific Investigations Report 2010-5127, vi, 64 p. , https://doi.org/10.3133/sir20105127.","productDescription":"vi, 64 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":468,"text":"New Hampshire-Vermont Water Science Center","active":false,"usgs":true}],"links":[{"id":115926,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5127.jpg"},{"id":14099,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5127/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.5,42.5 ], [ -72.5,43.75 ], [ -70.75,43.75 ], [ -70.75,42.5 ], [ -72.5,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df8de","contributors":{"authors":[{"text":"Flynn, Robert H. rflynn@usgs.gov","contributorId":2137,"corporation":false,"usgs":true,"family":"Flynn","given":"Robert","email":"rflynn@usgs.gov","middleInitial":"H.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306143,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98690,"text":"pp1386F - 2010 - Glaciers of Asia","interactions":[{"subject":{"id":98690,"text":"pp1386F - 2010 - Glaciers of Asia","indexId":"pp1386F","publicationYear":"2010","noYear":false,"chapter":"F","title":"Glaciers of Asia"},"predicate":"IS_PART_OF","object":{"id":70042384,"text":"pp1386 - 1988 - Satellite image atlas of glaciers of the world","indexId":"pp1386","publicationYear":"1988","noYear":false,"title":"Satellite image atlas of glaciers of the world"},"id":1}],"isPartOf":{"id":70042384,"text":"pp1386 - 1988 - Satellite image atlas of glaciers of the world","indexId":"pp1386","publicationYear":"1988","noYear":false,"title":"Satellite image atlas of glaciers of the world"},"lastModifiedDate":"2024-10-02T16:19:37.591014","indexId":"pp1386F","displayToPublicDate":"2010-09-11T00:00:00","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":"1386","chapter":"F","title":"Glaciers of Asia","docAbstract":"This chapter is the ninth to be released in U.S. Geological Survey Professional Paper 1386, Satellite Image Atlas of Glaciers of the World, a series of 11 chapters. In each of the geographic area chapters, remotely sensed images, primarily from the Landsat 1, 2, and 3 series of spacecraft, are used to analyze the specific glacierized region of our planet under consideration and to monitor glacier changes. Landsat images, acquired primarily during the middle to late 1970s and early 1980s, were used by an international team of glaciologists and other scientists to study various geographic regions and (or) to discuss related glaciological topics. In each glacierized geographic region, the present areal distribution of glaciers is compared, wherever possible, with historical information about their past extent. The atlas provides an accurate regional inventory of the areal extent of glacier ice on our planet during the 1970s as part of a growing international scientific effort to measure global environmental change on the Earth’s surface.
The chapter is divided into seven geographic parts and one topical part: Glaciers of the Former Soviet Union (F–1), Glaciers of China (F–2), Glaciers of Afghanistan (F–3), Glaciers of Pakistan (F–4), Glaciers of India (F–5), Glaciers of Nepal (F–6), Glaciers of Bhutan (F–7), and the Paleoenvironmental Record Preserved in Middle-Latitude, High-Mountain Glaciers (F–8). Each geographic section describes the glacier extent during the 1970s and 1980s, the benchmark time period (1972–1981) of this volume, but has been updated to include more recent information.
Glaciers of the Former Soviet Union are located in the Russian Arctic and various mountain ranges of Russia and the Republics of Georgia, Kyrgyzstan, Tajikistan, and Kazakstun. The Glacier Inventory of the USSR and the World Atlas of Ice and Snow Resources recorded a total of 28,881 glaciers covering an area of 78,938 square kilometers (km2).
China includes many of the mountain-glacier systems of the world including the Himalaya, Karakorum, Tien Shan and Altay mountain ranges. The glaciers are widely scattered and cover an area of about 59,425 km2. The mountain glaciers may be classified as maritime, subcontinental or extreme continental.
In Afghanistan, more than 3,000 small glaciers occur in the Hindu Kush and Pamir mountains. Most glaciers occur on north-facing slopes shaded by mountain peaks and on east and southeast slopes that are shaded by monsoon clouds. The glaciers provide vital water resources to the region and cover an area of about 2,700 km2.
Glaciers of northern Pakistan are some of the largest and longest mid-latitude glaciers on Earth. They are located in the Hindu Kush, Himalaya, and Karakoram mountains and cover an area of about 15,000 km2. Glaciers here are important for their role in providing water resources and their hazard potential.
The glaciers in India are located in the Himalaya and cover about 8,500 km2. The Himalaya contains one of the largest reservoirs of snow and ice outside the polar regions. The glaciers are a major source of fresh water and supply meltwater to all the rivers in northern India, thereby affecting the quality of life of millions of people.
In Nepal, the glaciers are located in the Himalaya as individual glaciers; the glacierized area covers about 5,324 km2. The region is the highest mountainous region on Earth and includes the Mt. Everest region.
Glaciers in the Bhutan Himalaya have a total area of about 1,317 km2. Many recent glacier studies are focused on glacier lakes that have the potential of generating dangerous glacier lake outburst floods.
Research on the glaciers of the middle-latitude, high-mountain glaciers of Asia has also focused on the information contained in the ice cores from the glaciers. This information helps in the reconstruction of paleoclimatic records, and the computer modeling of global climate change.
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Jr.","contributorId":344776,"corporation":false,"usgs":false,"family":"Schroder","given":"John E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":914669,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Bishop, Michael P.","contributorId":18674,"corporation":false,"usgs":false,"family":"Bishop","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":914670,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Vohra, Chander P.","contributorId":344777,"corporation":false,"usgs":false,"family":"Vohra","given":"Chander","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":914671,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Hasnain, Syed I.","contributorId":344778,"corporation":false,"usgs":false,"family":"Hasnain","given":"Syed","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":914672,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Kumar, Rajesh","contributorId":344779,"corporation":false,"usgs":false,"family":"Kumar","given":"Rajesh","email":"","affiliations":[],"preferred":false,"id":914673,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Ahmad, Safaraz","contributorId":344780,"corporation":false,"usgs":false,"family":"Ahmad","given":"Safaraz","email":"","affiliations":[],"preferred":false,"id":914674,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Tayal, Shresth","contributorId":344781,"corporation":false,"usgs":false,"family":"Tayal","given":"Shresth","email":"","affiliations":[],"preferred":false,"id":914675,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Higuchi, K","contributorId":221175,"corporation":false,"usgs":false,"family":"Higuchi","given":"K","email":"","affiliations":[],"preferred":false,"id":914676,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Watanabe, Okitsugu","contributorId":344782,"corporation":false,"usgs":false,"family":"Watanabe","given":"Okitsugu","email":"","affiliations":[],"preferred":false,"id":914677,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Fushimi, Hiroji","contributorId":344783,"corporation":false,"usgs":false,"family":"Fushimi","given":"Hiroji","email":"","affiliations":[],"preferred":false,"id":914680,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Takenaka, Shuhei","contributorId":344784,"corporation":false,"usgs":false,"family":"Takenaka","given":"Shuhei","email":"","affiliations":[],"preferred":false,"id":914681,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Nagoshi, Akio","contributorId":344785,"corporation":false,"usgs":false,"family":"Nagoshi","given":"Akio","email":"","affiliations":[],"preferred":false,"id":914682,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Ageta, Yutaka","contributorId":344786,"corporation":false,"usgs":false,"family":"Ageta","given":"Yutaka","email":"","affiliations":[],"preferred":false,"id":914683,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Iwata, Shuji","contributorId":344787,"corporation":false,"usgs":false,"family":"Iwata","given":"Shuji","email":"","affiliations":[],"preferred":false,"id":914684,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Cecil, L. DeWayne","contributorId":72828,"corporation":false,"usgs":true,"family":"Cecil","given":"L.","email":"","middleInitial":"DeWayne","affiliations":[],"preferred":false,"id":914685,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914686,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":914687,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Susong, David D. ddsusong@usgs.gov","contributorId":1040,"corporation":false,"usgs":true,"family":"Susong","given":"David","email":"ddsusong@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914688,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Green, Jaromy R.","contributorId":57498,"corporation":false,"usgs":true,"family":"Green","given":"Jaromy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":914689,"contributorType":{"id":1,"text":"Authors"},"rank":40}]}} ,{"id":98692,"text":"sir20105171 - 2010 - Streamflow and water-quality properties in the West Fork San Jacinto River Basin and regression models to estimate real-time suspended-sediment and total suspended-solids concentrations and loads in the West Fork San Jacinto River in the vicinity of Conroe, Texas, July 2008-August 2009","interactions":[],"lastModifiedDate":"2022-12-16T19:15:17.379757","indexId":"sir20105171","displayToPublicDate":"2010-09-11T00:00:00","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":"2010-5171","title":"Streamflow and water-quality properties in the West Fork San Jacinto River Basin and regression models to estimate real-time suspended-sediment and total suspended-solids concentrations and loads in the West Fork San Jacinto River in the vicinity of Conroe, Texas, July 2008-August 2009","docAbstract":"To better understand the hydrology (streamflow and water quality) of the West Fork San Jacinto River Basin downstream from Lake Conroe near Conroe, Texas, including spatial and temporal variation in suspended-sediment (SS) and total suspended-solids (TSS) concentrations and loads, the U.S. Geological Survey, in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality, measured streamflow and collected continuous and discrete water-quality data during July 2008-August 2009 in the West Fork San Jacinto River Basin downstream from Lake Conroe. During July 2008-August 2009, discrete samples were collected and streamflow measurements were made over the range of flow conditions at two streamflow-gaging stations on the West Fork San Jacinto River: West Fork San Jacinto River below Lake Conroe near Conroe, Texas (station 08067650) and West Fork San Jacinto River near Conroe, Texas (station 08068000). In addition to samples collected at these two main monitoring sites, discrete sediment samples were also collected at five additional monitoring sites to help characterize water quality in the West Fork San Jacinto River Basin. Discrete samples were collected semimonthly, regardless of flow conditions, and during periods of high flow resulting from storms or releases from Lake Conroe. Because the period of data collection was relatively short (14 months) and low flow was prevalent during much of the study, relatively few samples collected were representative of the middle and upper ranges of historical daily mean streamflows. The largest streamflows tended to occur in response to large rainfall events and generally were associated with the largest SS and TSS concentrations. The maximum SS and TSS concentrations at station 08067650 (180 and 133 milligrams per liter [mg/L], respectively) were on April 19, 2009, when the instantaneous streamflow was the third largest associated with a discrete sample at the station. SS concentrations were 25 mg/L or less in 26 of 29 environmental samples and TSS concentrations were 25 mg/L or less in 25 of 28 environmental samples. Median SS and TSS concentrations were 7.0 and 7.6 mg/L, respectively. At station 08068000, the maximum SS concentration (1,270 mg/L) was on April 19, 2009, and the maximum TSS concentration (268 mg/L) was on September 18, 2008. SS concentrations were 25 mg/L or less in 16 of 27 of environmental samples and TSS concentrations were 25 mg/L or less in 18 of 26 environmental samples at the station. Median SS and TSS concentrations were 18.0 and 14.0 mg/L, respectively. The maximum SS and TSS concentrations for all five additional monitoring sites were 3,110 and 390 mg/L, respectively, and the minimum SS and TSS concentrations were 5.0 and 1.0 mg/L, respectively. Median concentrations ranged from 14.0 to 54.0 mg/L for SS and from 11.0 to 14.0 mg/L for TSS. Continuous measurements of streamflow and selected water-quality properties at stations 08067650 and 08068000 were evaluated as possible variables in regression equations developed to estimate SS and TSS concentrations and loads. Surrogate regression equations were developed to estimate SS and TSS loads by using real-time turbidity and streamflow data; turbidity and streamflow resulted in the best regression models for estimating near real-time SS and TSS concentrations for stations 08097650 and 08068000. Relatively large errors are associated with the regression-computed SS and TSS concentrations; the 90-percent prediction intervals for SS and TSS concentrations were (+/-)48.9 and (+/-)43.2 percent, respectively, for station 08067650 and (+/-)47.7 and (+/-)43.2 percent, respectively, for station 08068000. Regression-computed SS and TSS concentrations were corrected for bias before being used to compute SS and TSS loads. The total estimated SS and TSS loads during July 2008-August 2009 were about 3,540 and 1,900 tons, respectively, at station 08067650 and about 156,000 an
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, Virginia","doi":"10.3133/sir20105171","collaboration":"Prepared in cooperation with the Houston-Galveston Area Council and the Texas Commission on Environmental Quality under the authorization of the Texas Clean Rivers Act and applicable Federal law","usgsCitation":"Bodkin, L.J., and Oden, J.H., 2010, Streamflow and water-quality properties in the West Fork San Jacinto River Basin and regression models to estimate real-time suspended-sediment and total suspended-solids concentrations and loads in the West Fork San Jacinto River in the vicinity of Conroe, Texas, July 2008-August 2009: U.S. Geological Survey Scientific Investigations Report 2010-5171, viii, 35 p., https://doi.org/10.3133/sir20105171.","productDescription":"viii, 35 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2008-07-01","temporalEnd":"2009-08-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":126386,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5171.jpg"},{"id":410637,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94197.htm","linkFileType":{"id":5,"text":"html"}},{"id":14098,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5171/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","city":"Conroe","otherGeospatial":"West Fork San Jacinto River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.9333,\n 29.9167\n ],\n [\n -95.9333,\n 30.75\n ],\n [\n -95.1,\n 30.75\n ],\n [\n -95.1,\n 29.9167\n ],\n [\n -95.9333,\n 29.9167\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4e76","contributors":{"authors":[{"text":"Bodkin, Lee J.","contributorId":53507,"corporation":false,"usgs":true,"family":"Bodkin","given":"Lee","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oden, Jeannette H. 0000-0002-6473-1553 jhoden@usgs.gov","orcid":"https://orcid.org/0000-0002-6473-1553","contributorId":1152,"corporation":false,"usgs":true,"family":"Oden","given":"Jeannette","email":"jhoden@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306141,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98689,"text":"ofr20101170 - 2010 - Mars Global Digital Dune Database; MC-1","interactions":[],"lastModifiedDate":"2012-02-02T00:15:46","indexId":"ofr20101170","displayToPublicDate":"2010-09-11T00:00:00","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":"2010-1170","title":"Mars Global Digital Dune Database; MC-1","docAbstract":"The Mars Global Digital Dune Database presents data and describes the methodology used in creating the global database of moderate- to large-size dune fields on Mars. The database is being released in a series of U.S. Geological Survey (USGS) Open-File Reports. The first release (Hayward and others, 2007) included dune fields from 65 degrees N to 65 degrees S (http://pubs.usgs.gov/of/2007/1158/). The current release encompasses ~ 845,000 km2 of mapped dune fields from 65 degrees N to 90 degrees N latitude. Dune fields between 65 degrees S and 90 degrees S will be released in a future USGS Open-File Report. Although we have attempted to include all dune fields, some have likely been excluded for two reasons: (1) incomplete THEMIS IR (daytime) coverage may have caused us to exclude some moderate- to large-size dune fields or (2) resolution of THEMIS IR coverage (100m/pixel) certainly caused us to exclude smaller dune fields. The smallest dune fields in the database are ~ 1 km2 in area. While the moderate to large dune fields are likely to constitute the largest compilation of sediment on the planet, smaller stores of sediment of dunes are likely to be found elsewhere via higher resolution data. Thus, it should be noted that our database excludes all small dune fields and some moderate to large dune fields as well. Therefore, the absence of mapped dune fields does not mean that such dune fields do not exist and is not intended to imply a lack of saltating sand in other areas. \r\n\r\nWhere availability and quality of THEMIS visible (VIS), Mars Orbiter Camera narrow angle (MOC NA), or Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) images allowed, we classified dunes and included some dune slipface measurements, which were derived from gross dune morphology and represent the prevailing wind direction at the last time of significant dune modification. It was beyond the scope of this report to look at the detail needed to discern subtle dune modification. It was also beyond the scope of this report to measure all slipfaces. We attempted to include enough slipface measurements to represent the general circulation (as implied by gross dune morphology) and to give a sense of the complex nature of aeolian activity on Mars. The absence of slipface measurements in a given direction should not be taken as evidence that winds in that direction did not occur. When a dune field was located within a crater, the azimuth from crater centroid to dune field centroid was calculated, as another possible indicator of wind direction. Output from a general circulation model (GCM) is also included. In addition to polygons locating dune fields, the database includes THEMIS visible (VIS) and Mars Orbiter Camera Narrow Angle (MOC NA) images that were used to build the database. \r\n\r\nThe database is presented in a variety of formats. It is presented as an ArcReader project which can be opened using the free ArcReader software. The latest version of ArcReader can be downloaded at http://www.esri.com/software/arcgis/arcreader/download.html. The database is also presented in an ArcMap project. The ArcMap project allows fuller use of the data, but requires ESRI ArcMap(Registered) software. A fuller description of the projects can be found in the NP_Dunes_ReadMe file (NP_Dunes_ReadMe folder_ and the NP_Dunes_ReadMe_GIS file (NP_Documentation folder). For users who prefer to create their own projects, the data are available in ESRI shapefile and geodatabase formats, as well as the open Geography Markup Language (GML) format. A printable map of the dunes and craters in the database is available as a Portable Document Format (PDF) document. The map is also included as a JPEG file. (NP_Documentation folder) Documentation files are available in PDF and ASCII (.txt) files. Tables are available in both Excel and ASCII (.txt) \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101170","usgsCitation":"Hayward, R., Fenton, L., Tanaka, K.L., Titus, T., Colaprete, A., and Christensen, P.R., 2010, Mars Global Digital Dune Database; MC-1: U.S. Geological Survey Open-File Report 2010-1170, Readme TXT file; Entire database ZIP file, https://doi.org/10.3133/ofr20101170.","productDescription":"Readme TXT file; Entire database ZIP file","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":116009,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1170.jpg"},{"id":14095,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1170/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f6b6","contributors":{"authors":[{"text":"Hayward, R.K.","contributorId":31885,"corporation":false,"usgs":true,"family":"Hayward","given":"R.K.","email":"","affiliations":[],"preferred":false,"id":306134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, L.K.","contributorId":102189,"corporation":false,"usgs":true,"family":"Fenton","given":"L.K.","affiliations":[],"preferred":false,"id":306135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanaka, K. L.","contributorId":31394,"corporation":false,"usgs":false,"family":"Tanaka","given":"K.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":306133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Titus, T.N.","contributorId":102615,"corporation":false,"usgs":true,"family":"Titus","given":"T.N.","email":"","affiliations":[],"preferred":false,"id":306136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colaprete, A.","contributorId":26047,"corporation":false,"usgs":true,"family":"Colaprete","given":"A.","affiliations":[],"preferred":false,"id":306132,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christensen, P. R.","contributorId":7819,"corporation":false,"usgs":false,"family":"Christensen","given":"P.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":306131,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98684,"text":"sir20105148 - 2010 - Macroinvertebrate-based assessment of biological condition at selected sites in the Eagle River watershed, Colorado, 2000-07","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105148","displayToPublicDate":"2010-09-10T00:00:00","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":"2010-5148","title":"Macroinvertebrate-based assessment of biological condition at selected sites in the Eagle River watershed, Colorado, 2000-07","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado River Water Conservation District, Eagle County, Eagle River Water and Sanitation District, Upper Eagle Regional Water Authority, Colorado Department of Transportation, City of Aurora, Town of Eagle, Town of Gypsum, Town of Minturn, Town of Vail, Vail Resorts, Colorado Springs Utilities, Denver Water, and the U.S. Department of Agriculture Forest Service (FS), compiled macroinvertebrate (73 sites, 124 samples) data previously collected in the Eagle River watershed from selected USGS and FS studies, 2000-07. These data were analyzed to assess the biological condition (that is, biologically ?degraded? or ?good?) at selected sites in the Eagle River watershed and determine if site class (for example, urban or undeveloped) described biological condition. \r\n\r\nAn independently developed predictive model was applied to calculate a site-specific measure of taxonomic completeness for macroinvertebrate communities, where taxonomic completeness was expressed as the ratio of observed (O) taxa to those expected (E) to occur at each site. Macroinvertebrate communities were considered degraded at sites were O/E values were less than 0.80, indicating that at least 20 percent of expected taxa were not observed. Sites were classified into one of four classes (undeveloped, adjacent road or highway or both, mixed, urban) using a combination of riparian land-cover characteristics, examination of topographic maps and aerial imagery, screening for exceedances in water-quality standards, and best professional judgment. Analysis of variance was used to determine if site class accounted for variability in mean macroinvertebrate O/E values. Finally, macroinvertebrate taxa observed more or less frequently than expected at urban sites were indentified. \r\n\r\nThis study represents the first standardized assessment of biological condition of selected sites distributed across the Eagle River watershed. Of the 73 sites evaluated, just over half (55 percent) were considered in good biological condition (O/E greater than 0.80). The remaining sites were either consistently biologically degraded (30 percent; O/E less than 0.80) or varied annually between good and degraded condition (15 percent; O/E is less than or greater than 0.80). Sites primarily affected by urbanization were among the most severely degraded (lowest O/E values) when compared to other site classes. Although most urban sites were among the most severely degraded (lowest O/E values), a few sites had nearly intact macroinvertebrate communities (O/E near 1.0). Similar observations were noted among sites classified as mixed. \r\n\r\nThirteen macroinvertebrate taxa were indentified that occurred more or less frequently than expected at urban sites. Additionally, six other taxa were impartial (tolerant) to the same conditions. Combined, these 19 taxa provide an opportunity to enhance the interpretation of future studies in the Eagle River watershed, but will require better insight into the responses of these taxa to specific stressors. Understanding the sources of variability affecting biological condition along with why some sites expected to be degraded, but showed otherwise, will have clear implications for mitigation efforts. Integrating results of this study with field and laboratory investigations will greatly enhance the ability to identify causal factors affecting biological condition at degraded sites, the logical next step. Information generated from such integrative studies will be imperative for well targeted mitigation efforts in the Eagle River watershed. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105148","collaboration":"Prepared in cooperation with the Colorado River Water Conservation District, Eagle County, Eagle River Water and Sanitation District, Upper Eagle Regional Water Authority, Colorado Department of Transportation, City of Aurora, Town of Eagle, Town of Gypsum, Town of Minturn, Town of Vail, Vail Resorts, Colorado Springs Utilities, Denver Water, and the U.S. Department of Agriculture Forest Service","usgsCitation":"Zuellig, R.E., Bruce, J.F., Healy, B., and Williams, C.A., 2010, Macroinvertebrate-based assessment of biological condition at selected sites in the Eagle River watershed, Colorado, 2000-07: U.S. Geological Survey Scientific Investigations Report 2010-5148, vi, 19 p., https://doi.org/10.3133/sir20105148.","productDescription":"vi, 19 p.","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":115939,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5148.jpg"},{"id":14089,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5148/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107,39 ], [ -107,40 ], [ -106.16666666666667,40 ], [ -106.16666666666667,39 ], [ -107,39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db6491d5","contributors":{"authors":[{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":306117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Brian D.","contributorId":61553,"corporation":false,"usgs":true,"family":"Healy","given":"Brian D.","affiliations":[],"preferred":false,"id":306119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cory A. 0000-0003-1461-7848 cawillia@usgs.gov","orcid":"https://orcid.org/0000-0003-1461-7848","contributorId":689,"corporation":false,"usgs":true,"family":"Williams","given":"Cory","email":"cawillia@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98679,"text":"sir20105022 - 2010 - Effects of Changes in Irrigation Practices and Aquifer Development on Groundwater Discharge to the Jobos Bay National Estuarine Research Reserve near Salinas, Puerto Rico","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105022","displayToPublicDate":"2010-09-10T00:00:00","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":"2010-5022","title":"Effects of Changes in Irrigation Practices and Aquifer Development on Groundwater Discharge to the Jobos Bay National Estuarine Research Reserve near Salinas, Puerto Rico","docAbstract":"Since 1990, about 75 acres of black mangroves have died in the Jobos Bay National Estuarine Research Reserve near Salinas, Puerto Rico. Although many factors can contribute to the mortality of mangroves, changes in irrigation practices, rainfall, and water use resulted in as much as 25 feet of drawdown in the potentiometric surface of the aquifer in the vicinity of the reserve between 1986 and 2002. To clarify the issue, the U.S. Geological Survey, in cooperation with the Puerto Rico Department of Natural and Environmental Resources, conducted a study to ascertain how aquifer development and changes in irrigation practices have affected groundwater levels and groundwater flow to the Mar Negro area of the reserve.\r\n\r\nChanges in groundwater flow to the mangrove swamp and bay from 1986 to 2004 were estimated in this study by developing and calibrating a numerical groundwater flow model. The transient simulations indicate that prior to 1994, high irrigation return flows more than offset the effect of reduced groundwater withdrawals. In this case, the simulated discharge to the coast in the modeled area was 19 million gallons per day. From 1994 through 2004, furrow irrigation was completely replaced by micro-drip irrigation, thus eliminating return flows and the simulated average coastal discharge was 7 million gallons per day, a reduction of 63 percent. The simulated average groundwater discharge to the coastal mangrove swamps in the reserve from 1986 to 1993 was 2 million gallons per day, compared to an average simulated discharge of 0.2 million gallons per day from 1994 to 2004. The average annual rainfall for each of these periods was 38 inches. The groundwater discharge to the coastal mangrove swamps in the Jobos Bay National Estuarine Research Reserve was estimated at about 0.5 million gallons per day for 2003-2004 because of higher than average annual rainfall during these 2 years.\r\n\r\nThe groundwater flow model was used to test five alternatives for increasing groundwater discharge to the coastal mangrove swamps to approximately 1.4 million gallons per day: (1) artificially recharging the aquifer with injection wells or (2) by increasing irrigation return flow by going back to furrow irrigation; (3) termination of groundwater withdrawals near the mangroves; (4) reduction of groundwater withdrawals at irrigation wells by 50 percent; and (5) a combination of alternatives 2 and 4 increasing irrigation return flows and decreasing irrigation withdrawals. Each alternative assumed average climatic conditions and groundwater withdrawals at 2004 rates. Alternative 1 required 1.5 million gallons per day of injected water. Alternative 2 required flooding 958 acres with a rate of 1.84 million gallons per day if no crops are grown. Alternative 3 required the termination of 2.44 million gallons per day of withdrawals to achieve 1.34 million gallons per day of discharge to the mangroves. Alternative 4 did not achieve the objective with only 0.80 million gallons per day simulated discharge to the mangroves, while requiring a 1.26 million gallon per day reduction in groundwater withdrawals. Alternative 5 required flooding fields with additional 1.13 million gallons of day and the same reduction in groundwater withdrawals, but did achieve the objective of about 1.4 million gallons per day discharge to the mangroves. Alternative 1, incorporating injection wells near the reserve required the least amount of water to raise groundwater levels and maintain discharge of 1.4 million gallons per day through the mangroves. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105022","collaboration":"Prepared in cooperation with the\r\nPUERTO RICO DEPARTMENT OF NATURAL AND ENVIRONMENTAL RESOURCES AND\r\nTHE JOBOS BAY NATIONAL ESTUARINE RESEARCH RESERVE","usgsCitation":"Kuniansky, E.L., and Rodriguez, J.M., 2010, Effects of Changes in Irrigation Practices and Aquifer Development on Groundwater Discharge to the Jobos Bay National Estuarine Research Reserve near Salinas, Puerto Rico: U.S. Geological Survey Scientific Investigations Report 2010-5022, x, 65 p.; Appendices; Report Download; Plates Download, https://doi.org/10.3133/sir20105022.","productDescription":"x, 65 p.; Appendices; Report Download; Plates Download","additionalOnlineFiles":"Y","costCenters":[{"id":249,"text":"Eastern Region Science Office","active":false,"usgs":true}],"links":[{"id":115947,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5022.jpg"},{"id":14083,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5022/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -66.61749999999999,17.8675 ], [ -66.61749999999999,18.166666666666668 ], [ -66,18.166666666666668 ], [ -66,17.8675 ], [ -66.61749999999999,17.8675 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db625200","contributors":{"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":306105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Jose M. 0000-0002-4430-9929 jmrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-9929","contributorId":1318,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Jose","email":"jmrod@usgs.gov","middleInitial":"M.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306106,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98677,"text":"sir20105082 - 2010 - Hydrogeology and steady-state numerical simulation of groundwater flow in the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sir20105082","displayToPublicDate":"2010-09-10T00:00:00","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":"2010-5082","title":"Hydrogeology and steady-state numerical simulation of groundwater flow in the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado","docAbstract":"The Lost Creek Designated Ground Water Basin (Lost Creek basin) is an important alluvial aquifer for irrigation, public supply, and domestic water uses in northeastern Colorado. Beginning in 2005, the U.S. Geological Survey, in cooperation with the Lost Creek Ground Water Management District and the Colorado Water Conservation Board, collected hydrologic data and constructed a steady-state numerical groundwater flow model of the Lost Creek basin. The model builds upon the work of previous investigators to provide an updated tool for simulating the potential effects of various hydrologic stresses on groundwater flow and evaluating possible aquifer-management strategies. \r\n\r\nAs part of model development, the thickness and extent of regolith sediments in the basin were mapped, and data were collected concerning aquifer recharge beneath native grassland, nonirrigated agricultural fields, irrigated agricultural fields, and ephemeral stream channels. The thickness and extent of regolith in the Lost Creek basin indicate the presence of a 2- to 7-mile-wide buried paleovalley that extends along the Lost Creek basin from south to north, where it joins the alluvial valley of the South Platte River valley. Regolith that fills the paleovalley is as much as about 190 ft thick. Average annual recharge from infiltration of precipitation on native grassland and nonirrigated agricultural fields was estimated by using the chloride mass-balance method to range from 0.1 to 0.6 inch, which represents about 1-4 percent of long-term average precipitation. Average annual recharge from infiltration of ephemeral streamflow was estimated by using apparent downward velocities of chloride peaks to range from 5.7 to 8.2 inches. Average annual recharge beneath irrigated agricultural fields was estimated by using passive-wick lysimeters and a water-balance approach to range from 0 to 11.3 inches, depending on irrigation method, soil type, crop type, and the net quantity of irrigation water applied. Estimated average annual recharge beneath irrigated agricultural fields represents about 0-43 percent of net irrigation. \r\n\r\nThe U.S. Geological Survey modular groundwater modeling program, MODFLOW-2000, was used to develop a steady-state groundwater flow model of the Lost Creek basin. Groundwater in the basin is simulated generally to flow from the basin margins toward the center of the basin and northward along the paleovalley. The largest source of inflow to the model occurs from recharge beneath flood- and sprinkler-irrigated agricultural fields (14,510 acre-feet per year [acre-ft/yr]), which represents 39.7 percent of total simulated inflow. Other substantial sources of inflow to the model are recharge from precipitation and stream-channel infiltration in nonirrigated areas (13,810 acre-ft/yr) seepage from Olds Reservoir (4,280 acre-ft/yr), and subsurface inflow from ditches and irrigated fields outside the model domain (2,490 acre-ft/yr), which contribute 37.7, 11.7, and 6.8 percent, respectively, of total inflow. The largest outflow from the model occurs from irrigation well withdrawals (26,760 acre-ft/yr), which represent 73.2 percent of total outflow. Groundwater discharge (6,640 acre-ft/yr) at the downgradient end of the Lost Creek basin represents 18.2 percent of total outflow, and evapotranspiration (3,140 acre-ft/yr) represents about 8.6 percent of total outflow. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105082","collaboration":"Prepared in cooperation with the Lost Creek Ground Water Management District\r\nand the Colorado Water Conservation Board","usgsCitation":"Arnold, L.R., 2010, Hydrogeology and steady-state numerical simulation of groundwater flow in the Lost Creek Designated Ground Water Basin, Weld, Adams, and Arapahoe Counties, Colorado: U.S. Geological Survey Scientific Investigations Report 2010-5082, viii, 55 p.; Appendices, https://doi.org/10.3133/sir20105082.","productDescription":"viii, 55 p.; Appendices","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":115944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5082.jpg"},{"id":14080,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5082/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.58333333333333,39.666666666666664 ], [ -104.58333333333333,40.333333333333336 ], [ -104.16666666666667,40.333333333333336 ], [ -104.16666666666667,39.666666666666664 ], [ -104.58333333333333,39.666666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db6252ea","contributors":{"authors":[{"text":"Arnold, L. R.","contributorId":92738,"corporation":false,"usgs":true,"family":"Arnold","given":"L.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":306102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}