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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 9th U.S. National and 10th Canadian Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th U.S. National and 10th Canadian Conference on Earthquake Engineering","conferenceDate":"July 25-29, 2010","conferenceLocation":"Toronto, Ontario, Canada","language":"English","publisher":"Canadian Association for Earthquake Engineering","usgsCitation":"Graizer, V., Kalkan, E., and Lin, K., 2010, Extending and testing Graizer-Kalkan ground motion attenuation model based on atlas database of shallow crustal events, in Proceedings of the 9th U.S. National and 10th Canadian Conference on Earthquake Engineering, Toronto, Ontario, Canada, July 25-29, 2010, p. 5525-5534.","productDescription":"568, 10 p.","startPage":"5525","endPage":"5534","costCenters":[],"links":[{"id":405684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":405683,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.caee.ca/10cceepapers/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graizer, Vladimir","contributorId":138813,"corporation":false,"usgs":false,"family":"Graizer","given":"Vladimir","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":849858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalkan, Erol 0000-0002-9138-9407 ekalkan@usgs.gov","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":1218,"corporation":false,"usgs":true,"family":"Kalkan","given":"Erol","email":"ekalkan@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":849859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Kuo-Wan klin@usgs.gov","contributorId":152049,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-Wan","email":"klin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":849860,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201005,"text":"70201005 - 2010 - Regional and grain size influences on the geochemistry of soil at Gusev Crater","interactions":[],"lastModifiedDate":"2018-11-20T08:56:27","indexId":"70201005","displayToPublicDate":"2010-07-01T08:55:51","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Regional and grain size influences on the geochemistry of soil at Gusev Crater","docAbstract":"Congruous with earlier work, Martian soil along the Spirit Rover's traverse at Gusev crater can be divided into three broad groups by size: fines (<150 μm), sand, and a mix of various grain sizes. The key chemical observation is greater homogeneity in fines relative to the other two, consistent with regional‐ and global‐scale sampling of chemical compositions by finer particle sizes. The mix class is generally more heterogeneous as are samples from the Columbia Hills within each class. Variation in the trace element Ni is consistent with a CI contribution not exceeding 3%, while that of Ti is compatible with Fe‐Ti oxide enrichment not exceeding 3%. Physical mixing models are poorly supported. Among many potential binary and three‐component mixing models, only two show some consistency with the soil data: typical fines with the opaline Si end‐member identified at Home Plate and typical fines with sulfates (bearing a variable mix of Ca, Fe, and Mg cations). We also infer that binary mixing transcends classes, contrasting strongly with terrestrial sediments, and that mixing trends are consistent with significant nonmixing contributions, perhaps including localized chemical alteration. The decoupling between chemistry and grain size classes also suggests that processes linking composition with grain size, such as heavy mineral sorting, may have been minimal or absent entirely. The primary exception to this is the correlation between Cl and Si, Cl‐S, and Al‐Si, which is strongest in the fines class.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010JE003637","usgsCitation":"Karunatillake, S., McLennan, S.M., and Herkenhoff, K.E., 2010, Regional and grain size influences on the geochemistry of soil at Gusev Crater: Journal of Geophysical Research E: Planets, v. 115, no. E7, 17 p., https://doi.org/10.1029/2010JE003637.","productDescription":"17 p.","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":475700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003637","text":"Publisher Index Page"},{"id":359593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gusev crater, Mars","volume":"115","issue":"E7","noUsgsAuthors":false,"publicationDate":"2010-10-06","publicationStatus":"PW","scienceBaseUri":"5bf52b6be4b045bfcae2801a","contributors":{"authors":[{"text":"Karunatillake, Suniti","contributorId":40125,"corporation":false,"usgs":true,"family":"Karunatillake","given":"Suniti","email":"","affiliations":[],"preferred":false,"id":751630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLennan, Scott M.","contributorId":200412,"corporation":false,"usgs":false,"family":"McLennan","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":751631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":751632,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193963,"text":"70193963 - 2010 - A hybrid finite-difference and analytic element groundwater model","interactions":[],"lastModifiedDate":"2017-11-13T12:11:23","indexId":"70193963","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A hybrid finite-difference and analytic element groundwater model","docAbstract":"Regional finite-difference models tend to have large cell sizes, often on the order of 1–2 km on a side. Although the regional flow patterns in deeper formations may be adequately represented by such a model, the intricate surface water and groundwater interactions in the shallower layers are not. Several stream reaches and nearby wells may occur in a single cell, precluding any meaningful modeling of the surface water and groundwater interactions between the individual features. We propose to replace the upper MODFLOW layer or layers, in which the surface water and groundwater interactions occur, by an analytic element model (GFLOW) that does not employ a model grid; instead, it represents wells and surface waters directly by the use of point-sinks and line-sinks. For many practical cases it suffices to provide GFLOW with the vertical leakage rates calculated in the original coarse MODFLOW model in order to obtain a good representation of surface water and groundwater interactions. However, when the combined transmissivities in the deeper (MODFLOW) layers dominate, the accuracy of the GFLOW solution diminishes. For those cases, an iterative coupling procedure, whereby the leakages between the GFLOW and MODFLOW model are updated, appreciably improves the overall solution, albeit at considerable computational cost. The coupled GFLOW–MODFLOW model is applicable to relatively large areas, in many cases to the entire model domain, thus forming an attractive alternative to local grid refinement or inset models.
","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2009.00672.x","usgsCitation":"Haitjema, H.M., Feinstein, D.T., Hunt, R.J., and Gusyev, M., 2010, A hybrid finite-difference and analytic element groundwater model: Groundwater, v. 48, no. 4, p. 538-548, https://doi.org/10.1111/j.1745-6584.2009.00672.x.","productDescription":"11 p.","startPage":"538","endPage":"548","ipdsId":"IP-014664","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":348694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2010-06-22","publicationStatus":"PW","scienceBaseUri":"5a610abbe4b06e28e9c256cb","contributors":{"authors":[{"text":"Haitjema, Henk M.","contributorId":74678,"corporation":false,"usgs":true,"family":"Haitjema","given":"Henk","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":721736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gusyev, Maksym","contributorId":200265,"corporation":false,"usgs":false,"family":"Gusyev","given":"Maksym","email":"","affiliations":[],"preferred":false,"id":721738,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70179289,"text":"70179289 - 2010 - Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","interactions":[],"lastModifiedDate":"2016-12-27T12:42:57","indexId":"70179289","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River","docAbstract":"We used a two-dimensional (2D) hydrodynamic model to simulate and compare the hydraulic characteristics in a 74-km reach of the Columbia River (the Bonneville Reach) before and after construction of Bonneville Dam. For hydrodynamic modeling, we created a bathymetric layer of the Bonneville Reach from single-beam and multi-beam echo-sounder surveys, digital elevation models, and navigation surveys. We calibrated the hydrodynamic model at 100 and 300 kcfs with a user-defined roughness layer, a variable-sized mesh, and a U.S. Army Corps of Engineers backwater curve. We verified the 2D model with acoustic Doppler current profiler (ADCP) data at 14 transects and three flows. The 2D model was 88% accurate for water depths, and 77% accurate for velocities. We verified a pre-dam 2D model run at 126 kcfs using pre-dam aerial photos from September 1935. Hydraulic simulations indicated that mean water depths in the Bonneville Reach increased by 34% following dam construction, while mean velocities decreased by 58%. There are numerous activities that would benefit from data output from the 2D model, including biological sampling, bioenergetics, and spatially explicit habitat modeling.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.084.0301","usgsCitation":"Hatten, J.R., and Batt, T.R., 2010, Hydraulic alterations resulting from hydropower development in the Bonneville Reach of the Columbia River: Northwest Science, v. 84, no. 3, p. 207-222, https://doi.org/10.3955/046.084.0301.","productDescription":"16 p. 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The complex geometry of the study region is not optimal for a structured grid model and so we developed a new method of grid connectivity. This involves a novel approach that allows an unlimited number of individual grids to be combined in an efficient manner to produce a composite grid. We then implemented this new method into the numerical Regional Ocean Modeling System (ROMS) and developed a composite grid of the Hudson River estuary region to investigate the residence time of a passive tracer. Results show that the residence time is a strong function of the time of release (spring vs. neap tide), the along-channel location, and the initial vertical placement. During neap tides there is a maximum in residence time near the bottom of the estuary at the mid-salt intrusion length. During spring tides the residence time is primarily a function of along-channel location and does not exhibit a strong vertical variability. This model study of residence time illustrates the utility of the grid connectivity method for circulation and dispersion studies in regions of complex geometry.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2009.11.008","usgsCitation":"Warner, J., Geyer, W.R., and Arango, H.G., 2010, Using a composite grid approach in a complex coastal domain to estimate estuarine residence time: Computers & Geosciences, v. 36, no. 7, p. 921-935, https://doi.org/10.1016/j.cageo.2009.11.008.","productDescription":"15 p.","startPage":"921","endPage":"935","ipdsId":"IP-013332","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475705,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/3819","text":"External Repository"},{"id":345366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a7ced4e4b0fd9b77d092be","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":709027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geyer, W. 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The J. Strom Thurmond Dam and Lake, located 187 miles upstream from the coast, is responsible for most of the flow regulation that affects the Savannah River from Augusta to the coast. The Savannah Harbor experiences semi-diurnal tides of two high and two low tides in a 24.8-hour period with pronounced differences in tidal range between neap and spring tides occurring on a 14-day and 28-day lunar cycle. The Savannah National Wildlife Refuge is located in the Savannah River Estuary. The tidal freshwater marsh is an essential part of the 28,000-acre refuge and is home to a diverse variety of wildlife and plant communities. The Southeastern U.S. experienced severe drought conditions in 2008 and if the conditions had persisted in Georgia and South Carolina, Thurmond Lake could have reached an emergency operation level where outflow from the lake is equal to the inflow to the lake. To decrease the effect of the reduced releases on downstream resources, a stepped approach was proposed to reduce the flow in increments of 500 cubic feet per second (ft3/s) intervals. Reduced flows from 3,600 ft3/s to 3,100 ft3/s and 2,600 ft3/s were simulated with two previously developed models of the Lower Savannah River Estuary to evaluate the potential effects on salinity intrusion. The end of the previous drought (2002) was selected as the baseline condition for the simulations with the model. Salinity intrusion coincided with the 28-day cycle semidiurnal tidal cycles. The results show a difference between the model simulations of how the salinity will respond to the decreased flows. The Model-to-Marsh Decision Support System (M2MDSS) salinity response shows a large increase in the magnitude (> 6.0 practical salinity units, psu) and duration (3-4 days) of the salinity intrusion with extended periods (21 days) of tidal freshwater remaining in the system. The Environmental Fluid Dynamic Code (EFDC) model predicts increases in the magnitude of the salinity intrusion but only to 2 and 3 psu and the intrusion duration greater than a week. A potential mitigation to the increased salinity intrusion predicted by the M2MDSS would be to time pulses of increase flows to reduce the magnitude of the intrusion. Seven-day streamflow pulses of 4,500 ft3/s were inserted into the constant 3,100 ft3/s streamflow condition. The streamflow pulses did substantially decrease the magnitude and duration of the salinity intrusion. The result of the streamflow pulse scenario demonstrates how alternative release patterns from Lake Thurmond could be utilized to mitigate potential salinity changes in the Lower Savannah River Estuary.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Conrads, P., and Greenfield, J.M., 2010, Potential mitigation approach to minimize salinity intrusion in the Lower Savannah River Estuary due to reduced controlled releases from Lake Thurmond, in Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":308673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Savannah River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.75765539236411,\n 35.17323528735028\n ],\n [\n -83.47207663625336,\n 35.06535251781659\n ],\n [\n -83.64793417321053,\n 34.62335157507212\n ],\n [\n -82.47188689480815,\n 33.43009230326392\n ],\n [\n -81.6365635942608,\n 32.73017626249711\n ],\n [\n -81.0540355030896,\n 31.632511705952396\n ],\n [\n -80.62538275675567,\n 32.16439163685108\n ],\n [\n -81.1529553676278,\n 33.1176605854625\n ],\n [\n -81.88935880363692,\n 34.09710899144052\n ],\n [\n -82.75765539236411,\n 35.17323528735028\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560a64e0e4b058f706e536ea","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":573683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greenfield, James M.","contributorId":148052,"corporation":false,"usgs":false,"family":"Greenfield","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":573684,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70179291,"text":"70179291 - 2010 - Sediment management strategies associated with dam removal in the State of Washington","interactions":[],"lastModifiedDate":"2017-03-03T13:50:46","indexId":"70179291","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sediment management strategies associated with dam removal in the State of Washington","docAbstract":"Different removal strategies are described for dams in three diverse drainage basins (Wind River, White Salmon River, and Elwha River basins) in the State of Washington (USA). The comparisons between the strategies offer the opportunity to track the effects of sediment resulting from dam decommissioning in the Pacific Northwest and to determine possible effects on socio-economically important species of anadromous salmonids. Hemlock Dam, located on Trout Creek and managed by the United States Forest Service, was removed from July to September 2009. To mitigate the effect on fish downstream (specifically, salmonids) and to minimize sediment aggradation downstream in the main-stem Wind River, the Forest Service chose to excavate the approximately 42,000 cubic meters of sediment entrapped behind the dam before removal of the dam. Thus, the reach of Trout Creek downstream of the dam will not be affected by a large, released pulse of accumulated sediment. In contrast, the scheduled removal of Condit Dam, located on the White Salmon River 30 kilometers to the east of Hemlock Dam, involves a different removal strategy. Condit Dam will be breached near its base in order to mobilize the 1.7 million cubic meters of trapped sediment during the reservoir drawdown in an effort to decrease the time needed for the downstream reach to return to normal levels of suspended sediment. Finally, the much-anticipated 2011 removal of two dams on the Elwha River on the Olympic Peninsula in northwestern Washington will take place over 2 years with progressive notches cut into the dams from the top down. Although some portion of reservoir sediment will be carried downstream by the river, the specific timing of notching will be adaptively managed to mitigate the effects of raised sediment concentration on fishes and people living downstream. With improved scientific understanding from these studies, future damremoval projects can be planned and executed with approaches that mitigate deleterious effectson salmonids.
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Recent rapid growth in Colorado, USA has stressed groundwater supplies in some areas, thereby increasing scrutiny of approximate methods developed there more than 30 years ago to estimate consumptive use that are still used today. A foothills residence was studied during a 2-year period to estimate direct and indirect water losses. Direct losses are those from evaporation inside the home, plus any outdoor use. Indirect loss is evapotranspiration (ET) from the residential leach-field in excess of ET from the immediately surrounding terrain. Direct losses were 18.7% of water supply to the home, substantially larger than estimated historically in Colorado. A new approach was developed to estimate indirect loss, using chamber methods together with the Penman–Monteith model. Indirect loss was only 0.9% of water supply, but this value probably was anomalously low due to a recurring leach-field malfunction. Resulting drainage beneath the leach-field was 80.4% of water supply. Guidelines are given to apply the same methodology at other sites and combine results with a survey of leach-fields in an area to obtain more realistic average values of ET losses.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2010.05.012","usgsCitation":"Stannard, D., Paul, W.T., Laws, R., and Poeter, E.P., 2010, Consumptive use and resulting leach-field water budget of a mountain residence: Journal of Hydrology, v. 388, no. 3-4, p. 335-349, https://doi.org/10.1016/j.jhydrol.2010.05.012.","productDescription":"15 p.","startPage":"335","endPage":"349","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011018","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":322080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Jefferson County","otherGeospatial":"Turkey Creek Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.6884765625,\n 39.35978526869001\n ],\n [\n -105.6884765625,\n 39.918162846609455\n ],\n [\n -105.084228515625,\n 39.918162846609455\n ],\n [\n -105.084228515625,\n 39.35978526869001\n ],\n [\n -105.6884765625,\n 39.35978526869001\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"388","issue":"3-4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575158aee4b053f0edd03c29","contributors":{"authors":[{"text":"Stannard, David distanna@usgs.gov","contributorId":169954,"corporation":false,"usgs":true,"family":"Stannard","given":"David","email":"distanna@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paul, William T.","contributorId":169956,"corporation":false,"usgs":false,"family":"Paul","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":25641,"text":"CSM, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":631603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laws, Roy","contributorId":169955,"corporation":false,"usgs":false,"family":"Laws","given":"Roy","email":"","affiliations":[{"id":25640,"text":"Dept. of Health, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":631602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poeter, Eileen P.","contributorId":78805,"corporation":false,"usgs":true,"family":"Poeter","given":"Eileen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":631601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70157986,"text":"70157986 - 2010 - Grain-size evolution in suspended sediment and deposits from the 2004 and 2008 controlled-flood experiments in Marble and Grand Canyons, Arizona","interactions":[],"lastModifiedDate":"2022-11-01T17:45:52.982397","indexId":"70157986","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Grain-size evolution in suspended sediment and deposits from the 2004 and 2008 controlled-flood experiments in Marble and Grand Canyons, Arizona","docAbstract":"Since the closure of Glen Canyon Dam in 1963, the hydrology, sediment supply, and distribution and size of modern alluvial deposits in the Colorado River through Grand Canyon have changed substantially (e.g., Howard and Dolan, 1981; Johnson and Carothers, 1987; Webb et al., 1999; Rubin et al., 2002; Topping et al., 2000, 2003; Wright et al., 2005; Hazel et al., 2006). The dam has reduced the fluvial sediment supply at the upstream boundary of Grand Canyon National Park by about 95 percent. Regulation of river discharge by dam operations has important implications for the storage and redistribution of sediment in the Colorado River corridor. In the absence of natural floods, sediment is not deposited at elevations that regularly received sediment before dam closure. There has been a systemwide decrease in the size and number of subaerially exposed fluvial sand deposits since the 1960s, punctuated by episodic aggradation during the exceptional high-flow intervals in the early 1980s and by sediment input from occasional tributary floods (Beus and others, 1985; Schmidt and Graf, 1990; Kearsley et al., 1994; Schmidt et al., 2004; Wright et al., 2005; Hazel et al., 2006). Fluvial sandbars are an important component of riparian ecology that, among other functions, enclose eddy backwaters that form native-fish habitat, provide a source for eolian sand that protects some archaeological sites, and are used as campsites by thousands of river-runners annually (Rubin et al., 1990; Kearsley et al., 1994; Neal et al., 2000; Wright et al., 2005; Draut and Rubin, 2008).
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Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast","interactions":[],"lastModifiedDate":"2022-11-08T17:51:30.62022","indexId":"70156726","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast","docAbstract":"The ability of water-resource managers to adapt to future climatic change is especially challenging in coastal regions of the world. The East Coast of the United States falls into this category given the high number of people living along the Atlantic seaboard and the added strain on resources as populations continue to increase, particularly in the Southeast. Increased temperatures, changes in regional precipitation regimes, and potential increased sea level would have a great impact on existing hydrological systems in the region. Six reservoirs in North Carolina discharge into the Pee Dee River, which flows 160 miles through South Carolina to the coastal communities near Myrtle Beach, SC. During the Southeast’s record-breaking drought from 1998 to 2002, salinity intrusions inundated a coastal municipal freshwater intake, limiting water supplies. Salinity intrusion results from the interaction of three principal forces - streamflow, mean tidal water levels, and tidal range. To analyze, model, and simulate hydrodynamic behaviors at critical coastal streamgages along the Atlantic Intracoastal Waterway (AIW) near Myrtle Beach, SC, data-mining techniques were applied to over 20 years of hourly streamflow, coastal water-quality, and water-level data. Artificial neural network (ANN) models were trained to learn the variable interactions that cause salinity intrusions. Streamflow from the 12,700 square-mile Pee Dee River Basin that flows into the AIW are input to the model as time-delayed variables and accumulated tributary inflows. Tidal inputs to the models were obtained by decomposing tidal water-level data into a “periodic” signal of tidal range and a “chaotic” signal of mean water levels. The ANN models were able to convincingly reproduce historical behaviors and generate alternative scenarios of interest. To evaluate the impact of climate change on salinity intrusion, inputs of streamflows and mean tidal water levels were modified to incorporate estimated changes in precipitation patterns and sea-level rise appropriate for the Southeastern United States. Changes in mean tidal water levels were changed parametrically for various sea-level rise conditions. Preliminary model results at the U.S. Geological Survey Pawleys Island streamgage (station 02110125) near a municipal freshwater intake indicate that a sea-level rise of 1 foot (ft, 30.5 centimeters [cm]) would double the frequency of water with a specific conductance value of 2,000 microsiemens per centimeter close to 4 percent. A 2 ft (61 cm) sea-level rise would quadruple the frequency to 9 percent.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, Nevada","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Conrads, P., Roehl, E.A., Sexton, C.T., Tufford, D.L., Carbone, G.J., Dow, K., and Cook, J., 2010, Estimating salinity intrusion effects due to climate change along the Grand Strand of the South Carolina coast, in Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, Nevada, June 27-July 1 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307590,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/2ndJFIC/"}],"country":"United States","state":"South Carolina","otherGeospatial":"Grand Strand of South Carolina coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.21835304633643,\n 33.16973460854814\n ],\n [\n -79.20188347020616,\n 33.137561571781774\n ],\n [\n -79.07561671987806,\n 33.24552433754049\n ],\n [\n -79.04267756761811,\n 33.38086349778773\n ],\n [\n -78.95758475761411,\n 33.58233438561031\n ],\n [\n -78.8395527953508,\n 33.6828939381933\n ],\n [\n -78.74622519728196,\n 33.74682521822022\n ],\n [\n -78.56231493049948,\n 33.83123278611886\n ],\n [\n -78.50192648468993,\n 33.847192422527655\n ],\n [\n -78.30154664177712,\n 33.87910275235373\n ],\n [\n -78.06273778789539,\n 33.88366039726998\n ],\n [\n -77.94745075498663,\n 33.82895259477185\n ],\n [\n -77.920001461437,\n 33.91783497292067\n ],\n [\n -78.57878450662913,\n 34.05667035981206\n ],\n [\n -78.650152669858,\n 34.011175554503\n ],\n [\n -78.63368309372834,\n 33.98386696333009\n ],\n [\n -78.74897012663713,\n 33.88366039726998\n ],\n [\n -78.831318007286,\n 33.90416678640936\n ],\n [\n -78.90817602922519,\n 33.892774956721894\n ],\n [\n -78.90817602922519,\n 33.85859033789821\n ],\n [\n -78.91366588793484,\n 33.83807299524254\n ],\n [\n -78.94660504019477,\n 33.8266723426092\n ],\n [\n -78.99052390987404,\n 33.86314907816619\n ],\n [\n -79.05091235568355,\n 33.817550725835474\n ],\n [\n -79.07561671987806,\n 33.75595437162089\n ],\n [\n -79.05091235568355,\n 33.717148758094865\n ],\n [\n -79.08385150794285,\n 33.66004980518244\n ],\n [\n -79.1854138940765,\n 33.454179847150684\n ],\n [\n -79.2814864215005,\n 33.30977928574498\n ],\n [\n -79.21835304633643,\n 33.16973460854814\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b7e4b0f42e3d040e01","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":570272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sexton, Charles T.","contributorId":147101,"corporation":false,"usgs":false,"family":"Sexton","given":"Charles","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tufford, Daniel L. tufford@sc.edu","contributorId":147102,"corporation":false,"usgs":false,"family":"Tufford","given":"Daniel","email":"tufford@sc.edu","middleInitial":"L.","affiliations":[],"preferred":false,"id":570275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carbone, Gregory J. greg.carbone@sc.edu","contributorId":147103,"corporation":false,"usgs":false,"family":"Carbone","given":"Gregory","email":"greg.carbone@sc.edu","middleInitial":"J.","affiliations":[],"preferred":false,"id":570276,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dow, Kristin","contributorId":147104,"corporation":false,"usgs":false,"family":"Dow","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":570277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, John B.","contributorId":45594,"corporation":false,"usgs":true,"family":"Cook","given":"John B.","affiliations":[],"preferred":false,"id":570278,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168407,"text":"70168407 - 2010 - A chemostratigraphic method to determine the end of impact-related sedimentation at marine-target impact craters (Chesapeake Bay, Lockne, Tvären)","interactions":[],"lastModifiedDate":"2018-03-23T13:46:47","indexId":"70168407","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2715,"text":"Meteoritics and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"A chemostratigraphic method to determine the end of impact-related sedimentation at marine-target impact craters (Chesapeake Bay, Lockne, Tvären)","docAbstract":"To better understand the impact cratering process and its environmental consequences at the local to global scale, it is important to know when in the geological record of an impact crater the impact-related processes cease. In many instances, this occurs with the end of early crater modification, leaving an obvious sedimentological boundary between impactites and secular sediments. However, in marine-target craters the transition from early crater collapse (i.e., water resurge) to postimpact sedimentation can appear gradual. With the a priori assumption that the reworked target materials of the resurge deposits have a different chemical composition to the secular sediments we use chemostratigraphy (δ13Ccarb, %Corg, major elements) of sediments from the Chesapeake Bay, Lockne, and Tvären craters, to define this boundary. We show that the end of impact-related sedimentation in these cases is fairly rapid, and does not necessarily coincide with a visual boundary (e.g., grain size shift). Therefore, in some cases, the boundary is more precisely determined by chemostratigraphy, especially carbonate carbon isotope variations, rather than by visual inspection. It is also shown how chemostratigraphy can confirm the age of marine-target craters that were previously determined by biostratigraphy; by comparing postimpact carbon isotope trends with established regional trends.
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2010 - The use of the multi-dimensional surface-water modeling system (MD-SWMS) in calculating discharge and sediment transport in remote ephemeral streams","interactions":[],"lastModifiedDate":"2021-11-09T16:24:02.853824","indexId":"70157325","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The use of the multi-dimensional surface-water modeling system (MD-SWMS) in calculating discharge and sediment transport in remote ephemeral streams","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues","conferenceDate":"June 27-July 1 2010","conferenceLocation":"Las Vegas, NV","language":"English","publisher":"Joint Federal Interagency Conference","usgsCitation":"Griffiths, P.G., Topping, D.J., McDonald, R.R., and Sabol, T., 2010, The use of the multi-dimensional surface-water modeling system (MD-SWMS) in calculating discharge and sediment transport in remote ephemeral streams, in Proceedings of the Joint Federal Interagency Conference 2010: Hydrology and sedimentation for a changing future: Existing and emerging issues, Las Vegas, NV, June 27-July 1 2010, 12 p.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-019532","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":49157,"text":"Rocky Mountain Regional Office","active":true,"usgs":true}],"links":[{"id":308287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fd35c0e4b05d6c4e502c83","contributors":{"authors":[{"text":"Griffiths, Peter G. 0000-0002-8663-8907 pggriffi@usgs.gov","orcid":"https://orcid.org/0000-0002-8663-8907","contributorId":187,"corporation":false,"usgs":true,"family":"Griffiths","given":"Peter","email":"pggriffi@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":572692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":715,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":572693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":572694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabol, Thomas A.","contributorId":67186,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas A.","affiliations":[],"preferred":false,"id":572695,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70169301,"text":"70169301 - 2010 - Calibrating recruitment estimates for mourning doves from harvest age ratios","interactions":[],"lastModifiedDate":"2016-03-24T11:40:55","indexId":"70169301","displayToPublicDate":"2010-07-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Calibrating recruitment estimates for mourning doves from harvest age ratios","docAbstract":"We examined results from the first national-scale effort to estimate mourning dove (Zenaida macroura) age ratios and developed a simple, efficient, and generalizable methodology for calibrating estimates. Our method predicted age classes of unknown-age wings based on backward projection of molt distributions from fall harvest collections to preseason banding. We estimated 1) the proportion of late-molt individuals in each age class, and 2) the molt rates of juvenile and adult birds. Monte Carlo simulations demonstrated our estimator was minimally biased. We estimated model parameters using 96,811 wings collected from hunters and 42,189 birds banded during preseason from 68 collection blocks in 22 states during the 2005–2007 hunting seasons. We also used estimates to derive a correction factor, based on latitude and longitude of samples, which can be applied to future surveys. We estimated differential vulnerability of age classes to harvest using data from banded birds and applied that to harvest age ratios to estimate population age ratios. Average, uncorrected age ratio of known-age wings for states that allow hunting was 2.25 (SD 0.85) juveniles:adult, and average, corrected ratio was 1.91 (SD 0.68), as determined from harvest age ratios from an independent sample of 41,084 wings collected from random hunters in 2007 and 2008. We used an independent estimate of differential vulnerability to adjust corrected harvest age ratios and estimated the average population age ratio as 1.45 (SD 0.52), a direct measure of recruitment rates. Average annual recruitment rates were highest east of the Mississippi River and in the northwestern United States, with lower rates between. Our results demonstrate a robust methodology for calibrating recruitment estimates for mourning doves and represent the first large-scale estimates of recruitment for the species. Our methods can be used by managers to correct future harvest survey data to generate recruitment estimates for use in formulating harvest management strategies.
","language":"English","publisher":"Wiley","doi":"10.2193/2009-409","usgsCitation":"Miller, D.A., and Otis, D.L., 2010, Calibrating recruitment estimates for mourning doves from harvest age ratios: Journal of Wildlife Management, v. 74, no. 5, p. 1070-1078, https://doi.org/10.2193/2009-409.","productDescription":"9 p.","startPage":"1070","endPage":"1078","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":319361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"56f50fb1e4b0f59b85e1eaa2","contributors":{"authors":[{"text":"Miller, David A.","contributorId":29193,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":623492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Otis, David L.","contributorId":78455,"corporation":false,"usgs":true,"family":"Otis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":623621,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209303,"text":"70209303 - 2010 - New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America","interactions":[],"lastModifiedDate":"2020-03-27T13:37:26","indexId":"70209303","displayToPublicDate":"2010-06-30T13:26:46","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America","docAbstract":"The New York-Alabama (NY-AL) lineament, recognized in 1978, is a magnetic anomaly that delineates a fundamental though historically enigmatic crustal boundary in eastern North America that is deeply buried beneath the Appalachian basin. Data not in the original aeromagnetic data set, particularly the lack of any information available at the time to constrain the southern continuation of the anomaly southwest of Tennessee, left the source of the lineament open to conjecture. We use modern digital aeromagnetic maps to fill in these data gaps and, for the first time, constrain the southern termination of the NY-AL lineament. Our analysis indicates that the lineament reflects a crustal-scale, right-lateral strike-slip fault that has displaced anomalies attributed to Grenville orogenesis by ~220 km. Palinspastic restoration of this displacement rearranges the trace of the Grenville belt in southern Rodinia and implies only passive influence on later-formed Appalachian structures. The precise timing of dextral movement on the NY-AL structure is not resolvable from the existing data set, but it must have occurred during one of, or combinations of, the following events: (1) a late, postcontractional (post-Ottawan) stage of the Grenville orogeny; (2) late Neoproterozoic to Cambrian rifting of Laurentia; or (3) right-slip reactivation during the late Neoproterozoic-Cambrian rifting of Laurentia, or during Appalachian movements. Our palinspastic reconstruction also implies that the host rocks for modern earthquakes in the Eastern Tennessee Seismic Zone are metasedimentary gneisses, and it provides an explanation for the spatial location and size of the seismic zone. © 2010 Geological Society of America.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G30978.1","issn":"00917613","usgsCitation":"Steltenpohl, M., Zietz, I., Horton,, J., and Daniels, D.L., 2010, New York-Alabama lineament: A buried right-slip fault bordering the Appalachians and mid-continent North America: Geology, v. 38, no. 6, p. 571-574, https://doi.org/10.1130/G30978.1.","productDescription":"4 p. ","startPage":"571","endPage":"574","costCenters":[],"links":[{"id":373612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States ","state":"New York, Pennsylvania, Ohio, Kentucky, Tennessee, Virginia, West Virginia, Maryland ","otherGeospatial":"Appalachian Basin ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.9814453125,\n 44.02442151965934\n ],\n [\n -77.431640625,\n 43.26120612479979\n ],\n [\n -78.837890625,\n 43.229195113965005\n ],\n [\n -82.96875,\n 41.47566020027821\n ],\n [\n -83.75976562499999,\n 38.92522904714054\n ],\n [\n -86.8359375,\n 36.84446074079564\n ],\n [\n -87.8466796875,\n 35.782170703266075\n ],\n [\n -78.7060546875,\n 37.89219554724437\n ],\n [\n -75.6298828125,\n 40.64730356252251\n ],\n [\n -74.4873046875,\n 42.22851735620852\n ],\n [\n -75.9814453125,\n 44.02442151965934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Steltenpohl, M.G.","contributorId":6272,"corporation":false,"usgs":true,"family":"Steltenpohl","given":"M.G.","affiliations":[],"preferred":false,"id":785981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zietz, I.","contributorId":59937,"corporation":false,"usgs":true,"family":"Zietz","given":"I.","email":"","affiliations":[],"preferred":false,"id":785982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":785983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, D. L.","contributorId":69114,"corporation":false,"usgs":true,"family":"Daniels","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":785984,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98480,"text":"sir20105096 - 2010 - Modeling the Effects of Mortality on Sea Otter Populations","interactions":[],"lastModifiedDate":"2012-03-02T17:16:07","indexId":"sir20105096","displayToPublicDate":"2010-06-30T00:00:00","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":"2010-5096","title":"Modeling the Effects of Mortality on Sea Otter Populations","docAbstract":"Conservation and management of sea otters can benefit from managing the magnitude and sex composition of human related mortality, including harvesting within sustainable levels. Using age and sex-specific reproduction and survival rates from field studies, we created matrix population models representing sea otter populations with growth rates of 1.005, 1.072, and 1.145, corresponding to stable, moderate, and rapid rates of change. In each modeled population, we incrementally imposed additional annual mortality over a 20-year period and calculated average annual rates of change (lambda). Additional mortality was applied to (1) males only, (2) at a 1:1 ratio of male to female, and (3) at a 3:1 ratio of male to female. Dependent pups (age 0-0.5) were excluded from the mortality. Maintaining a stable or slightly increasing population was largely dependent on (1) the magnitude of additional mortality, (2) the underlying rate of change in the population during the period of additional mortality, and (3) the extent that females were included in the additional mortality (due to a polygnous reproductive system where one male may breed with more than one female). In stable populations, additional mortality as high as 2.4 percent was sustainable if limited to males only, but was reduced to 1.2 percent when males and females were removed at ratios of 3:1 or 0.5 percent at ratios of 1:1. In moderate growth populations, additional mortality of 9.8 percent (male-only) and 15.0 percent (3:1 male to female) maximized the sustainable mortality about 3-10 ten-fold over the stable population levels. However, if additional mortality consists of males and females at equal proportions, the sustainable rate is 7.7 percent. In rapid growth populations, maximum sustainable levels of mortality as high as 27.3 percent were achieved when the ratio of additional mortality was 3:1 male to female. Although male-only mortality maximized annual harvest in stable populations, high male biased mortality in all simulations eventually led to low proportions of males, leading to instability in projected populations over time. Our findings identify the critical need to understand underlying rates of change that can be acquired only through frequent monitoring of managed populations. Models could be improved through better understanding of the effects of density and demographic and environmental stochasticity on sea otter vital rates. Although our primary objective was to provide information useful in managing harvests of sea otters, our findings have implications for the conservation and management of sea otter populations subjected to other sources of mortality that can be quantified, such as incidental, accidental, or illegal. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105096","usgsCitation":"Bodkin, J.L., and Ballachey, B.E., 2010, Modeling the Effects of Mortality on Sea Otter Populations: U.S. Geological Survey Scientific Investigations Report 2010-5096, iv, 12 p. , https://doi.org/10.3133/sir20105096.","productDescription":"iv, 12 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":196966,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13805,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5096/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db699033","contributors":{"authors":[{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":305476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":305477,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98479,"text":"ofr20101133 - 2010 - Evaluation of Water Year 2011 Glen Canyon Dam Flow Release Scenarios on Downstream Sand Storage along the Colorado River in Arizona","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"ofr20101133","displayToPublicDate":"2010-06-30T00:00:00","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":"2010-1133","title":"Evaluation of Water Year 2011 Glen Canyon Dam Flow Release Scenarios on Downstream Sand Storage along the Colorado River in Arizona","docAbstract":"This report describes numerical modeling simulations of sand transport and sand budgets for reaches of the Colorado River below Glen Canyon Dam. Two hypothetical Water Year 2011 annual release volumes were each evaluated with six hypothetical operational scenarios. The six operational scenarios include the current operation, scenarios with modifications to the monthly distribution of releases, and scenarios with modifications to daily flow fluctuations. Uncertainties in model predictions were evaluated by conducting simulations with error estimates for tributary inputs and mainstem transport rates. The modeling results illustrate the dependence of sand transport rates and sand budgets on the annual release volumes as well as the within year operating rules. The six operational scenarios were ranked with respect to the predicted annual sand budgets for Marble Canyon and eastern Grand Canyon reaches. While the actual WY 2011 annual release volume and levels of tributary inputs are unknown, the hypothetical conditions simulated and reported herein provide reasonable comparisons between the operational scenarios, in a relative sense, that may be used by decision makers within the Glen Canyon Dam Adaptive Management Program.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101133","usgsCitation":"Wright, S., and Grams, P.E., 2010, Evaluation of Water Year 2011 Glen Canyon Dam Flow Release Scenarios on Downstream Sand Storage along the Colorado River in Arizona: U.S. Geological Survey Open-File Report 2010-1133, vi, 18 p. , https://doi.org/10.3133/ofr20101133.","productDescription":"vi, 18 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":196965,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":13804,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1133/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fafa4","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":305475,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98478,"text":"sir20105098 - 2010 - Nitrate Loads and Concentrations in Surface-Water Base Flow and Shallow Groundwater for Selected Basins in the United States, Water Years 1990-2006","interactions":[],"lastModifiedDate":"2012-02-02T00:04:45","indexId":"sir20105098","displayToPublicDate":"2010-06-29T00:00:00","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":"2010-5098","title":"Nitrate Loads and Concentrations in Surface-Water Base Flow and Shallow Groundwater for Selected Basins in the United States, Water Years 1990-2006","docAbstract":"Hydrograph separation was used to determine the base-flow component of streamflow for 148 sites sampled as part of the National Water-Quality Assessment program. Sites in the Southwest and the Northwest tend to have base-flow index values greater than 0.5. Sites in the Midwest and the eastern portion of the Southern Plains generally have values less than 0.5. Base-flow index values for sites in the Southeast and Northeast are mixed with values less than and greater than 0.5. Hypothesized flow paths based on relative scaling of soil and bedrock permeability explain some of the differences found in base-flow index. Sites in areas with impermeable soils and bedrock (areas where overland flow may be the primary hydrologic flow path) tend to have lower base-flow index values than sites in areas with either permeable bedrock or permeable soils (areas where deep groundwater flow paths or shallow groundwater flow paths may occur). \r\n\r\nThe percentage of nitrate load contributed by base flow was determined using total flow and base flow nitrate load models. These regression-based models were calibrated using available nitrate samples and total streamflow or base-flow nitrate samples and the base-flow component of total streamflow. Many streams in the country have a large proportion of nitrate load contributed by base flow: 40 percent of sites have more than 50 percent of the total nitrate load contributed by base flow. Sites in the Midwest and eastern portion of the Southern Plains generally have less than 50 percent of the total nitrate load contributed by base flow. Sites in the Northern Plains and Northwest have nitrate load ratios that generally are greater than 50 percent. Nitrate load ratios for sites in the Southeast and Northeast are mixed with values less than and greater than 50 percent. Significantly lower contributions of nitrate from base flow were found at sites in areas with impermeable soils and impermeable bedrock. These areas could be most responsive to nutrient management practices designed to reduce nutrient transport to streams by runoff. Conversely, sites with potential for shallow or deep groundwater contribution (some combination of permeable soils or permeable bedrock) had significantly greater contributions of nitrate from base flow. Effective nutrient management strategies would consider groundwater nitrate contributions in these areas. \r\n\r\nMean annual base-flow nitrate concentrations were compared to shallow-groundwater nitrate concentrations for 27 sites. Concentrations in groundwater tended to be greater than base-flow concentrations for this group of sites. Sites where groundwater concentrations were much greater than base-flow concentrations were found in areas of high infiltration and oxic groundwater conditions. The lack of correspondingly high concentrations in the base flow of the paired surface-water sites may have multiple causes. In some settings, there has not been sufficient time for enough high-nitrate shallow groundwater to migrate to the nearby stream. In these cases, the stream nitrate concentrations lag behind those in the shallow groundwater, and concentrations may increase in the future as more high-nitrate groundwater reaches the stream. Alternatively, some of these sites may have processes that rapidly remove nitrate as water moves from the aquifer into the stream channel. \r\n\r\nPartitioning streamflow and nitrate load between the quick-flow and base-flow portions of the hydrograph coupled with relative scales of soil permeability can infer the importance of surface water compared to groundwater nitrate sources. Study of the relation of nitrate concentrations to base-flow index and the comparison of groundwater nitrate concentrations to stream nitrate concentrations during times when base-flow index is high can provide evidence of potential nitrate transport mechanisms. Accounting for the surface-water and groundwater contributions of nitrate is crucial to effective management and remediat","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105098","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Spahr, N.E., Dubrovsky, N.M., Gronberg, J.M., Franke, O.L., and Wolock, D.M., 2010, Nitrate Loads and Concentrations in Surface-Water Base Flow and Shallow Groundwater for Selected Basins in the United States, Water Years 1990-2006: U.S. Geological Survey Scientific Investigations Report 2010-5098, vii, 20 p.; Supplemental Information, https://doi.org/10.3133/sir20105098.","productDescription":"vii, 20 p.; Supplemental Information","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1990-01-01","temporalEnd":"2006-12-31","costCenters":[],"links":[{"id":125555,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5098.jpg"},{"id":13803,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5098/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af5e4b07f02db692252","contributors":{"authors":[{"text":"Spahr, Norman E. nspahr@usgs.gov","contributorId":1977,"corporation":false,"usgs":true,"family":"Spahr","given":"Norman","email":"nspahr@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":305471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronberg, JoAnn M. 0000-0003-4822-7434 jmgronbe@usgs.gov","orcid":"https://orcid.org/0000-0003-4822-7434","contributorId":3548,"corporation":false,"usgs":true,"family":"Gronberg","given":"JoAnn","email":"jmgronbe@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":305472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Franke, O. Lehn","contributorId":63357,"corporation":false,"usgs":true,"family":"Franke","given":"O.","email":"","middleInitial":"Lehn","affiliations":[],"preferred":false,"id":305473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":305469,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98477,"text":"fs20103046 - 2010 - Visualizing NetCDF Files by Using the EverVIEW Data Viewer","interactions":[],"lastModifiedDate":"2012-02-02T00:14:53","indexId":"fs20103046","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3046","title":"Visualizing NetCDF Files by Using the EverVIEW Data Viewer","docAbstract":"Over the past few years, modelers in South Florida have started using Network Common Data Form (NetCDF) as the standard data container format for storing hydrologic and ecologic modeling inputs and outputs. With its origins in the meteorological discipline, NetCDF was created by the Unidata Program Center at the University Corporation for Atmospheric Research, in conjunction with the National Aeronautics and Space Administration and other organizations. NetCDF is a portable, scalable, self-describing, binary file format optimized for storing array-based scientific data. Despite attributes which make NetCDF desirable to the modeling community, many natural resource managers have few desktop software packages which can consume NetCDF and unlock the valuable data contained within. The U.S. Geological Survey and the Joint Ecosystem Modeling group, an ecological modeling community of practice, are working to address this need with the EverVIEW Data Viewer. Available for several operating systems, this desktop software currently supports graphical displays of NetCDF data as spatial overlays on a three-dimensional globe and views of grid-cell values in tabular form. An included Open Geospatial Consortium compliant, Web-mapping service client and charting interface allows the user to view Web-available spatial data as additional map overlays and provides simple charting visualizations of NetCDF grid values.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103046","usgsCitation":"Conzelmann, C., and Romañach, S., 2010, Visualizing NetCDF Files by Using the EverVIEW Data Viewer: U.S. Geological Survey Fact Sheet 2010-3046, , https://doi.org/10.3133/fs20103046.","productDescription":" ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":125925,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3046.jpg"},{"id":13801,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3046/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdb48","contributors":{"authors":[{"text":"Conzelmann, Craig 0000-0002-4227-8719 conzelmannc@usgs.gov","orcid":"https://orcid.org/0000-0002-4227-8719","contributorId":2361,"corporation":false,"usgs":true,"family":"Conzelmann","given":"Craig","email":"conzelmannc@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":305468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":2331,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie S.","email":"sromanach@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":305467,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158669,"text":"70158669 - 2010 - Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity","interactions":[],"lastModifiedDate":"2021-10-28T15:48:42.260906","indexId":"70158669","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity","docAbstract":"A synthetic two‐dimensional model of a horizontally and vertically heterogeneous confined coastal aquifer system, based on the Upper Floridan aquifer in south Florida, USA, subjected to constant recharge and a complex tidal signal was used to generate 15‐minute water‐level data at select locations over a 7‐day simulation period. “Observed” water‐level data were generated by adding noise, representative of typical barometric pressure variations and measurement errors, to 15‐minute data from the synthetic model. Permeability was calibrated using a non‐linear gradient‐based parameter inversion approach with preferred‐value Tikhonov regularization and 1) “observed” water‐level data, 2) harmonic constituent data, or 3) a combination of “observed” water‐level and harmonic constituent data. In all cases, high‐frequency data used in the parameter inversion process were able to characterize broad‐scale heterogeneities; the ability to discern fine‐scale heterogeneity was greater when harmonic constituent data were used. These results suggest that the combined use of highly parameterized‐inversion techniques and high frequency time and/or processed‐harmonic constituent water‐level data could be a useful approach to better characterize aquifer heterogeneities in coastal aquifers influenced by ocean tides.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"21st Salt Water Intrusion Meeting (SWIM21 – AZORES 2010)","conferenceDate":"June 21-26, 2010","conferenceLocation":"Azores, Portugal","language":"English","publisher":"Wechselnde Verlagsorte","usgsCitation":"Hughes, J.D., White, J., and Langevin, C.D., 2010, Use of time series and harmonic constituents of tidal propagation to enhance estimation of coastal aquifer heterogeneity, in SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book, Azores, Portugal, June 21-26, 2010, p. 329-332.","productDescription":"4 p.","startPage":"329","endPage":"332","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021172","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":309523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560faad7e4b0ba4884c5eed4","contributors":{"authors":[{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":576441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":576442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":576443,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70156775,"text":"70156775 - 2010 - Evaluating the effect of Tikhonov regularization schemes on predictions in a variable-density groundwater model","interactions":[],"lastModifiedDate":"2021-10-28T15:48:19.844793","indexId":"70156775","displayToPublicDate":"2010-06-26T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluating the effect of Tikhonov regularization schemes on predictions in a variable-density groundwater model","docAbstract":"Calibration of highly‐parameterized numerical models typically requires explicit Tikhonovtype regularization to stabilize the inversion process. This regularization can take the form of a preferred parameter values scheme or preferred relations between parameters, such as the preferred equality scheme. The resulting parameter distributions calibrate the model to a user‐defined acceptable level of model‐to‐measurement misfit, and also minimize regularization penalties on the total objective function. To evaluate the potential impact of these two regularization schemes on model predictive ability, a dataset generated from a synthetic model was used to calibrate a highly-parameterized variable‐density SEAWAT model. The key prediction is the length of time a synthetic pumping well will produce potable water. A bi‐objective Pareto analysis was used to explicitly characterize the relation between two competing objective function components: measurement error and regularization error. Results of the Pareto analysis indicate that both types of regularization schemes affect the predictive ability of the calibrated model.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"21st Salt Water Intrusion Meeting (SWIM21 – AZORES 2010)","conferenceDate":"June 21-26, 2010","conferenceLocation":"Azores, Portugal","language":"English","publisher":"Wechselnde Verlagsorte","usgsCitation":"White, J., Langevin, C.D., and Hughes, J.D., 2010, Evaluating the effect of Tikhonov regularization schemes on predictions in a variable-density groundwater model, in SWIM21 – 21st Salt Water Intrusion Meeting Proceedings Book, Azores, Portugal, June 21-26, 2010, p. 344-348.","productDescription":"5 p.","startPage":"344","endPage":"348","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021176","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":307651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307650,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.swim-site.nl/pdf/swim21.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe8262e4b0824b2d1485a7","contributors":{"authors":[{"text":"White, Jeremy T. jwhite@usgs.gov","contributorId":3930,"corporation":false,"usgs":true,"family":"White","given":"Jeremy T.","email":"jwhite@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":false,"id":570478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":570479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":570480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199985,"text":"70199985 - 2010 - Effects of upstream dams versus groundwater pumping on stream temperature under varying climate conditions","interactions":[],"lastModifiedDate":"2018-10-10T08:44:34","indexId":"70199985","displayToPublicDate":"2010-06-23T08:43:58","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Effects of upstream dams versus groundwater pumping on stream temperature under varying climate conditions","docAbstract":"The relative impact of a large upstream dam versus in‐reach groundwater pumping on stream temperatures was analyzed for humid, semiarid, and arid conditions with long dry seasons to represent typical climate regions where large dams are present, such as the western United States or eastern Australia. Stream temperatures were simulated using the CE‐QUAL‐W2 water quality model over a 110 km model grid, with the presence or absence of a dam at the top of the reach and pumping in the lower 60 km of the reach. Measured meteorological data from three representative locations were used as model input to simulate the impact of varying climate conditions on streamflow and stream temperature. For each climate condition four hypothetical streamflow scenarios were modeled: (1) natural (no dam or pumping), (2) large upstream dam present, (3) dam with in‐reach pumping, and (4) no dam with pumping, resulting in 12 cases. Dam removal, in the presence or absence of pumping, resulted in significant changes in stream temperature throughout the year for all three climate conditions. From March to August, the presence of a dam caused monthly mean stream temperatures to decrease on average by approximately 3.0°C, 2.5°C, and 2.0°C for the humid, semiarid, and arid conditions, respectively; however, stream temperatures generally increased from September to February. Pumping caused stream temperatures to warm in summer and cool in winter by generally less than 0.5°C because of a smaller pumping‐induced alteration in streamflow relative to the dam. Though the presence or absence of a large dam led to greater changes in stream temperature than the presence or absence of pumping, ephemeral conditions were increased both temporally and spatially because of pumping.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008587","usgsCitation":"Risley, J.C., Constantz, J., Essaid, H.I., and Rounds, S.A., 2010, Effects of upstream dams versus groundwater pumping on stream temperature under varying climate conditions: Water Resources Research, v. 46, no. 6, 32 p., https://doi.org/10.1029/2009WR008587.","productDescription":"32 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr008587","text":"Publisher Index Page"},{"id":358224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-06-23","publicationStatus":"PW","scienceBaseUri":"5c10c6d3e4b034bf6a7f4918","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constantz, Jim","contributorId":66338,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","affiliations":[],"preferred":false,"id":747626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":747628,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":98468,"text":"sir20105019 - 2010 - Land-Use Analysis and Simulated Effects of Land-Use Change and Aggregate Mining on Groundwater Flow in the South Platte River Valley, Brighton to Fort Lupton, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"sir20105019","displayToPublicDate":"2010-06-23T00:00:00","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":"2010-5019","title":"Land-Use Analysis and Simulated Effects of Land-Use Change and Aggregate Mining on Groundwater Flow in the South Platte River Valley, Brighton to Fort Lupton, Colorado","docAbstract":"Land use in the South Platte River valley between the cities of Brighton and Fort Lupton, Colo., is undergoing change as urban areas expand, and the extent of aggregate mining in the Brighton-Fort Lupton area is increasing as the demand for aggregate grows in response to urban development. To improve understanding of land-use change and the potential effects of land-use change and aggregate mining on groundwater flow, the U.S. Geological Survey, in cooperation with the cities of Brighton and Fort Lupton, analyzed socioeconomic and land-use trends and constructed a numerical groundwater flow model of the South Platte alluvial aquifer in the Brighton-Fort Lupton area. The numerical groundwater flow model was used to simulate (1) steady-state hydrologic effects of predicted land-use conditions in 2020 and 2040, (2) transient cumulative hydrologic effects of the potential extent of reclaimed aggregate pits in 2020 and 2040, (3) transient hydrologic effects of actively dewatered aggregate pits, and (4) effects of different hypothetical pit spacings and configurations on groundwater levels. The SLEUTH (Slope, Land cover, Exclusion, Urbanization, Transportation, and Hillshade) urban-growth modeling program was used to predict the extent of urban area in 2020 and 2040. Wetlands in the Brighton-Fort Lupton area were mapped as part of the study, and mapped wetland locations and areas of riparian herbaceous vegetation previously mapped by the Colorado Division of Wildlife were compared to simulation results to indicate areas where wetlands or riparian herbaceous vegetation might be affected by groundwater-level changes resulting from land-use change or aggregate mining. \r\n\r\nAnalysis of land-use conditions in 1957, 1977, and 2000 indicated that the general distribution of irrigated land and non-irrigated land remained similar from 1957 to 2000, but both land uses decreased as urban area increased. Urban area increased about 165 percent from 1957 to 1977 and about 56 percent from 1977 to 2000 with most urban growth occurring east of Brighton and Fort Lupton and along major transportation corridors. Land-use conditions in 2020 and 2040 predicted by the SLEUTH modeling program indicated urban growth will continue to develop primarily east of Brighton and Fort Lupton and along major transportation routes, but substantial urban growth also is predicted south and west of Brighton. \r\n\r\nSteady-state simulations of the hydrologic effects of predicted land-use conditions in 2020 and 2040 indicated groundwater levels declined less than 2 feet relative to simulated groundwater levels in 2000. Groundwater levels declined most where irrigated land was converted to urban area and least where non-irrigated land was converted to urban area. Simulated groundwater-level declines resulting from land-use conditions in 2020 and 2040 are not predicted to substantially affect wetlands or riparian herbaceous vegetation in the study area because the declines are small and wetlands and riparian herbaceous vegetation generally are not located where simulated declines occur. \r\n\r\nSee Report PDF for unabridged abstract. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105019","collaboration":"Prepared in cooperation with the City of Fort Lupton and the City of Brighton","usgsCitation":"Arnold, L.R., Mladinich, C., Langer, W.H., and Daniels, J., 2010, Land-Use Analysis and Simulated Effects of Land-Use Change and Aggregate Mining on Groundwater Flow in the South Platte River Valley, Brighton to Fort Lupton, Colorado: U.S. Geological Survey Scientific Investigations Report 2010-5019, viii, 117 p. , https://doi.org/10.3133/sir20105019.","productDescription":"viii, 117 p. 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