Ages of detrital zircons are reported from ten samples of Lower Cretaceous to Paleogene metasandstones and sandstones from the Chugach Mountains, Talkeetna Mountains, and western Alaska Range of south-central Alaska. Zircon ages are also reported from three igneous clasts from two conglomerates. The results bear on the regional geology, stratigraphy, tectonics, and mineral resource potential of the southern Alaska convergent margin. Chugach Mountains - The first detrital zircon data are reported here from the two main components of the Chugach accretionary complex - the inboard McHugh Complex and the outboard Valdez Group. Detrital zircons from sandstone and two conglomerate clasts of diorite were dated from the McHugh Complex near Anchorage. This now stands as the youngest known part of the McHugh Complex, with an inferred Turonian (Late Cretaceous) depositional age no older than 91-93 Ma. The zircon population has probability density peaks at 93 and 104 Ma and a smattering of Early Cretaceous and Jurassic grains, with nothing older than 191 Ma. The two diorite clasts yielded Jurassic U-Pb zircon ages of 179 and 181 Ma. Together, these findings suggest a Mesozoic arc as primary zircon source, the closest and most likely candidate being the Wrangellia composite terrane. The detrital zircon sample from the Valdez Group contains zircons as young as 69 and 77 Ma, consistent with the previously assigned Maastrichtian to Campanian (Late Cretaceous) depositional age. The zircon population has peaks at 78, 91, 148, and 163 Ma, minor peaks at 129, 177, 330, and 352 Ma, and no concordant zircons older than Devonian. A granite clast from a Valdez Group conglomerate yielded a Triassic U-Pb zircon age of 221 Ma. Like the McHugh Complex, the Valdez Group appears to have been derived almost entirely from Mesozoic arc sources, but a few Precambrian zircons are also present. Talkeetna Mountains - Detrital zircons ages were obtained from southernmost metasedimentary rocks of the Talkeetna Mountains (schist of Hatcher Pass) and, immediately to the south, the northernmost sedimentary sequence of the Matanuska forearc basin (Arkose Ridge Formation). Detrital zircons from the Paleogene Arkose Ridge Formation are as young as 61 and 70 Ma; the population is dominated by a single Late Cretaceous peak at 76 Ma; the oldest zircon is 181 Ma. Sedimentological evidence clearly shows that the conglomeratic Arkose Ridge Formation was derived from the Talkeetna Mountains; our detrital zircon data support this inference. Zircons dated at ca. 90 Ma in the Arkose Ridge sample suggest that buried or unmapped plutons of this age may exist in the Talkeetnas. This is a particularly interesting age as it corresponds to the age of the supergiant Pebble gold-molybdenum-copper porphyry prospect near Iliamna and suggests a new area of prospectivity for Pebble-type deposits. The schist of Hatcher Pass, which was previously assigned a Jurassic depositional age, yielded surprisingly young Late Cretaceous detrital zircons, the youngest at 75 Ma. The probability density curve has four Cretaceous peaks from 76 to 102 Ma, a pair of Late Jurassic peaks at 155 and 166 Ma, three Early Jurassic to Late Triassic peaks at 186, 197, and 213 Ma, minor Carboniferous peaks at 303 and 346 Ma, and a minor Paleoproterozoic peak at 1828 Ma. The schist of Hatcher Pass was largely derived from Mesozoic arc sources, most likely the Wrangellia composite terrane, with some contribution from one or more older, inboard sources, probably including the Yukon-Tanana terrane. We postulate that the schist of Hatcher Pass represents metamorphosed rocks of the Valdez Group that were subducted and then exhumed along the Chugach terrane's 'backstop' during Paleogene transtension. Western Alaska Range - Six detrital zircon samples were collected from a little studied belt of turbidites in Tyonek quadrangle on strike with the Kahiltna assemblage of the central Alaska Range.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, 2007 (Professional Paper 1760)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1760F","usgsCitation":"Bradley, D., Haeussler, P.J., O'Sullivan, P., Friedman, R., Till, A., Bradley, D., and Trop, J., 2009, Detrital zircon geochronology of Cretaceous and Paleogene strata across the south-central Alaskan convergent margin: U.S. Geological Survey Professional Paper 1760, iii, 36 p., https://doi.org/10.3133/pp1760F.","productDescription":"iii, 36 p.","onlineOnly":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":422372,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87409.htm","linkFileType":{"id":5,"text":"html"}},{"id":13038,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1760/f/","linkFileType":{"id":5,"text":"html"}},{"id":118618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1760_f.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -158,\n 65\n ],\n [\n -158,\n 58\n ],\n [\n -135,\n 58\n ],\n [\n -135,\n 65\n ],\n [\n -158,\n 65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667352","contributors":{"authors":[{"text":"Bradley, Dwight","contributorId":32641,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","affiliations":[],"preferred":false,"id":303375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":303381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Sullivan, Paul","contributorId":84473,"corporation":false,"usgs":true,"family":"O'Sullivan","given":"Paul","affiliations":[],"preferred":false,"id":303376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Rich","contributorId":98419,"corporation":false,"usgs":true,"family":"Friedman","given":"Rich","email":"","affiliations":[],"preferred":false,"id":303377,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Till, Alison","contributorId":102569,"corporation":false,"usgs":true,"family":"Till","given":"Alison","affiliations":[],"preferred":false,"id":303378,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Dan","contributorId":104185,"corporation":false,"usgs":true,"family":"Bradley","given":"Dan","affiliations":[],"preferred":false,"id":303379,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trop, Jeff","contributorId":104592,"corporation":false,"usgs":true,"family":"Trop","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":303380,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":97858,"text":"ofr20091175 - 2009 - Estimation of Unsaturated Zone Traveltimes for Rainier Mesa and Shoshone Mountain, Nevada Test Site, Nevada, Using a Source-Responsive Preferential-Flow Model","interactions":[],"lastModifiedDate":"2012-02-10T00:11:55","indexId":"ofr20091175","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","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":"2009-1175","title":"Estimation of Unsaturated Zone Traveltimes for Rainier Mesa and Shoshone Mountain, Nevada Test Site, Nevada, Using a Source-Responsive Preferential-Flow Model","docAbstract":"Traveltimes for contaminant transport by water from a point in the unsaturated zone to the saturated zone are a concern at Rainier Mesa and Shoshone Mountain in the Nevada Test Site, Nevada. Where nuclear tests were conducted in the unsaturated zone, contaminants must traverse hundreds of meters of variably saturated rock before they enter the saturated zone in the carbonate rock, where the regional groundwater system has the potential to carry them substantial distances to a location of concern. The unsaturated-zone portion of the contaminant transport path may cause a significant delay, in addition to the time required to travel within the saturated zone, and thus may be important in the overall evaluation of the potential hazard from contamination.\r\n\r\nDownward contaminant transport through the unsaturated zone occurs through various processes and pathways; this can lead to a broad distribution of contaminant traveltimes, including exceedingly slow and unexpectedly fast extremes. Though the bulk of mobile contaminant arrives between the time-scale end members, the fastest contaminant transport speed, in other words the speed determined by the combination of possible processes and pathways that would bring a measureable quantity of contaminant to the aquifer in the shortest time, carries particular regulatory significance because of its relevance in formulating the most conservative hazard-prevention scenarios.\r\n\r\nUnsaturated-zone flow is usually modeled as a diffusive process responding to gravity and pressure gradients as mediated by the unsaturated hydraulic properties of the materials traversed. The mathematical formulation of the diffuse-flow concept is known as Richards' equation, which when coupled to a solute transport equation, such as the advection-dispersion equation, provides a framework to simulate contaminant migration in the unsaturated zone. In recent decades awareness has increased that much fluid flow and contaminant transport within the unsaturated zone takes place as preferential flow, faster than would be predicted by the coupled Richards' and advection-dispersion equations with hydraulic properties estimated by traditional means. At present the hydrologic community has not achieved consensus as to whether a modification of Richards' equation, or a fundamentally different formulation, would best quantify preferential flow.\r\n\r\nWhere the fastest contaminant transport speed is what needs to be estimated, there is the possibility of simplification of the evaluation process. One way of doing so is by a two-step process in which the first step is to evaluate whether significant preferential flow and solute transport is possible for the media and conditions of concern. The second step is to carry out (a) a basic Richards' and advection-dispersion equation analysis if it is concluded that preferential flow is not possible or (b) an analysis that considers only the fastest possible preferential-flow processes, if preferential flow is possible. For the preferential-flow situation, a recently published model describable as a Source-Responsive Preferential-Flow (SRPF) model is an easily applied option. This report documents the application of this two-step process to flow through the thick unsaturated zones of Rainier Mesa and Shoshone Mountain in the Nevada Test Site.\r\n\r\nApplication of the SRPF model involves distinguishing between continuous and intermittent water supply to preferential flow paths. At Rainier Mesa and Shoshone Mountain this issue is complicated by the fact that contaminant travel begins at a location deep in the subsurface, where there may be perched water that may or may not act like a continuous supply, depending on such features as the connectedness of fractures and the nature of impeding layers. We have treated this situation by hypothesizing both continuous and intermittent scenarios for contaminant transport to the carbonate aquifer and reporting estimation of the fastest speed for both of th","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091175","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration, Nevada Site Office under Interagency Agreement DE-AI52-07NV28100","usgsCitation":"Ebel, B.A., and Nimmo, J.R., 2009, Estimation of Unsaturated Zone Traveltimes for Rainier Mesa and Shoshone Mountain, Nevada Test Site, Nevada, Using a Source-Responsive Preferential-Flow Model: U.S. Geological Survey Open-File Report 2009-1175, vi, 74 p., https://doi.org/10.3133/ofr20091175.","productDescription":"vi, 74 p.","onlineOnly":"Y","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":125483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1175.jpg"},{"id":13033,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1175/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.33333333333333,36.916666666666664 ], [ -116.33333333333333,37.25 ], [ -116,37.25 ], [ -116,36.916666666666664 ], [ -116.33333333333333,36.916666666666664 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbd42","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":303365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":303364,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97867,"text":"ofr20091180 - 2009 - Benthic oxygen demand in three former salt ponds adjacent to south San Francisco Bay, California","interactions":[],"lastModifiedDate":"2019-08-13T11:47:42","indexId":"ofr20091180","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","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":"2009-1180","title":"Benthic oxygen demand in three former salt ponds adjacent to south San Francisco Bay, California","docAbstract":"Sampling trips were coordinated in the second half of 2008 to examine the interstitial water in the sediment and the overlying bottom waters of three shallow (average depth <1 meter) ponds adjacent to the southern reach of San Francisco Bay (herein referred to as South Bay), which were previously used in commercial salt production. In recent years, the ponds were modified for wetland restoration and management as part of the South Bay Salt Pond Restoration Project. A pore-water profiler, modified for dissolved-oxygen sampling, was used to obtain the first centimeter-scale estimates of the vertical concentration gradients for diffusive-flux determinations. This study, a collaboration between scientists from two disciplines within the U.S. Geological Survey (Water Resources and Biological Resources), provides information necessary for developing and refining pond-management strategies and supports efforts to monitor changes in fish and wildlife assemblages associated with the habitat-restoration program.\r\n\r\nBetween August 27 and September 30, 2008, pore-water profilers were successfully deployed in the South Bay salt ponds A16, A14, and A3W (fig. 1; fig. 2; table1), measuring the concentration gradient of dissolved oxygen near the sediment-water interface. In each pond, profilers were deployed in triplicate at two sites: a shallow site (< 1 meter) and a deep site (> 2 meters). The water column at all deployment sites was monitored with dataloggers for ancillary water-quality parameters (including dissolved oxygen, salinity, specific conductance, temperature, and pH) to facilitate the interpretation of benthic-flux results.\r\n\r\nCalculated diffusive benthic flux of dissolved (0.2-micron filtered) oxygen was consistently negative (that is, drawn from the water column into the sediment) and ranged between -0.5 x 10-6 and -37 x 10-6 micromoles per square centimeter per second (site averages depicted in table 2). Assuming pond areas of 1.0, 1.4, and 2.3 square kilometers for ponds A16, A14, and A3W, respectively, this converts to an oxygen mass flux into the ponds' sediment ranging from -1 to -72 kilograms per day. Diffusive oxygen flux into the benthos (listed as negative) was lowest in pond A14 (-0.5 x 10-6 to -1.8 x 10-6 micromoles per square centimeter per second) compared with diffusive flux estimates for ponds A16 and A3W (site averages -26 x 10-6 to -35 x 10-6 and -34 x 10-6 to -37 x 10-6 micromoles per square centimeter per second, respectively). These initial diffusive-flux estimates are of the order of magnitude of those measured in the South Bay using core-incubation experiments (Topping and others, 2004), which include bioturbation and bioirrigation effects. Estimates of benthic oxygen demand reported herein, based on molecular diffusion, serve as conservative estimates of benthic flux because solute transport across the sediment-water interface can be enhanced by multidisciplinary processes including bioturbation, bioirrigation, ground-water advection, and wind resuspension (Kuwabara and others, 2009).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20091180","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Topping, B.R., Kuwabara, J.S., Athearn, N.D., Takekawa, J.Y., Parcheso, F., Henderson, K.D., and Piotter, S., 2009, Benthic oxygen demand in three former salt ponds adjacent to south San Francisco Bay, California: U.S. Geological Survey Open-File Report 2009-1180, iv, 21 p., https://doi.org/10.3133/ofr20091180.","productDescription":"iv, 21 p.","onlineOnly":"Y","temporalStart":"2008-08-27","temporalEnd":"2008-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":118531,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1180.jpg"},{"id":13042,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1180/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.58333333333333,37.333333333333336 ], [ -122.58333333333333,37.916666666666664 ], [ -121.83333333333333,37.916666666666664 ], [ -121.83333333333333,37.333333333333336 ], [ -122.58333333333333,37.333333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62b693","contributors":{"authors":[{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":303388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":303390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Athearn, Nicole D.","contributorId":71273,"corporation":false,"usgs":true,"family":"Athearn","given":"Nicole","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":303387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":303389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Kathleen D.","contributorId":71646,"corporation":false,"usgs":true,"family":"Henderson","given":"Kathleen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":303393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piotter, Sara","contributorId":43464,"corporation":false,"usgs":true,"family":"Piotter","given":"Sara","affiliations":[],"preferred":false,"id":303391,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":97860,"text":"ofr20091187 - 2009 - A landscape indicator approach to the identification and articulation of the consequences of land-cover change in the Mid-Atlantic Region, 1973-2001","interactions":[],"lastModifiedDate":"2018-03-13T15:41:49","indexId":"ofr20091187","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","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":"2009-1187","title":"A landscape indicator approach to the identification and articulation of the consequences of land-cover change in the Mid-Atlantic Region, 1973-2001","docAbstract":"Landscape indicators, derived from land-use and land-cover data, hydrology, nitrate deposition, and elevation data, were used by Jones and others (2001a) to calculate the ecological consequences of land-cover change. Nitrate loading and physical bird habitat were modeled from 1973 and 1992 land-cover and other spatial data for the Mid-Atlantic region. Utilizing the same methods, this study extends the analysis another decade with the use of the 2001 National Land Cover Dataset. Land-cover statistics and trends are calculated for three time periods: 1973-1992, 1992-2001 and 1973-2001. In addition, high-resolution aerial photographs (1 meter or better ground-sample distance) were acquired and analyzed for thirteen pairs of adjacent USGS 7.5 minute quadrangle maps in areas where distinct positive or negative changes to nitrogen loading and bird habitat were previously calculated. \r\n\r\nDuring the entire 30 year period, the data show that there was extensive loss of agriculture and forest area and a major increase in urban land-cover classes. However, the majority of the conversion of other classes to urban occurred during the 1992-2001 period. During the 1973-1992 period, there was only moderate increase in urban area, while there was an inverse relationship between agricultural change and forest change. In general, forest gain and agricultural loss was found in areas of improving landscape indicators, and forest loss and agricultural gain was found to occur in areas of declining indicators related to habitat and nitrogen loadings, which was generally confirmed by the aerial photographic analysis. \r\n\r\nIn terms of the specific model results, bird habitat, which is mainly related to the extent of forest cover, declined overall with forest extent, but was also affected more in the decline of habitat quality. Nitrate loading, which is mainly related to agricultural land cover actually improved from 1992-2001, and in the overall study, mainly due to the conversion of agriculture to forests and urban. \r\n\r\nThe high-resolution imagery analysis was significant in that it confirmed, at a very local level, the specific land-cover changes that were driving the landscape metrics and model results that were calculated from moderate resolution land-cover data and models. These were generally subtle changes in patch size of agriculture, forest, and urban areas, but had substantial effects on bird habitat and nitrogen loadings. This analysis of high-resolution imagery demonstrates and confirms the important ability of moderate-resolution land-cover data to capture significant landscape-level activity that is directly related to specific metrics of ecological significance. It also demonstrates consistent landscape-scale relationships between data derived from high-resolution, moderate-resolution and landscape-model sources. \r\n\r\nFinally, many of the areas of improvement and decline in bird habitat and nitrogen loadings appear to be potentially regional in nature and likely reflect some local trend in landscape activity. Although the use of ecoregions as sampling units has been criticized in recent years, these results show that basic changes in Level 1 land-cover categories, such as forest and agriculture, may still reflect ecoregional patterns and considerations at some scale of mapping and analysis. This is a potentially important area for future landscape-indicator research. This and other follow-on research opportunities are discussed.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091187","usgsCitation":"Slonecker, E.T., Milheim, L., and Claggett, P.R., 2009, A landscape indicator approach to the identification and articulation of the consequences of land-cover change in the Mid-Atlantic Region, 1973-2001: U.S. Geological Survey Open-File Report 2009-1187, iv, 41 p., https://doi.org/10.3133/ofr20091187.","productDescription":"iv, 41 p.","onlineOnly":"Y","temporalStart":"1973-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":118535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1187.jpg"},{"id":13035,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1187/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.5,35 ], [ -83.5,43.5 ], [ -74,43.5 ], [ -74,35 ], [ -83.5,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd495ae4b0b290850ef15d","contributors":{"authors":[{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":67175,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":false,"id":303370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milheim, Lesley E.","contributorId":100951,"corporation":false,"usgs":true,"family":"Milheim","given":"Lesley E.","affiliations":[],"preferred":false,"id":303371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303369,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97868,"text":"sir20095194 - 2009 - Capacitively Coupled Resistivity Survey of Selected Irrigation Canals Within the North Platte River Valley, Western Nebraska and Eastern Wyoming, 2004 and 2007-2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"sir20095194","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5194","title":"Capacitively Coupled Resistivity Survey of Selected Irrigation Canals Within the North Platte River Valley, Western Nebraska and Eastern Wyoming, 2004 and 2007-2009","docAbstract":"Due to water resources of portions of the North Platte River basin being designated as over-appropriated by the State of Nebraska Department of Natural Resources (DNR), the North Platte Natural Resources District (NPNRD), in cooperation with the DNR, is developing an Integrated Management Plan (IMP) for groundwater and surface water in the NPNRD. As part of the IMP, a three-dimensional numerical finite difference groundwater-flow model is being developed to evaluate the effectiveness of using leakage of water from selected irrigation canal systems to manage groundwater recharge. To determine the relative leakage potential of the upper 8 m of the selected irrigation canals within the North Platte River valley in western Nebraska and eastern Wyoming, the U.S. Geological Survey performed a land-based capacitively coupled (CC) resistivity survey along nearly 630 km of 13 canals and 2 laterals in 2004 and from 2007 to 2009. These 13 canals were selected from the 27 irrigation canals in the North Platte valley due to their location, size, irrigated area, and relation to the active North Platte valley flood plain and related paleochannels and terrace deposits where most of the saturated thickness in the alluvium exists. The resistivity data were then compared to continuous cores at 62 test holes down to a maximum depth of 8 m. Borehole electrical conductivity (EC) measurements at 36 of those test holes were done to correlate resistivity values with grain sizes in order to determine potential vertical leakage along the canals as recharge to the underlying alluvial aquifer. The data acquired in 2004, as well as the 25 test hole cores from 2004, are presented elsewhere. These data were reprocessed using the same updated processing and inversion algorithms used on the 2007 through 2009 datasets, providing a consistent and complete dataset for all collection periods. Thirty-seven test hole cores and borehole electrical conductivity measurements were acquired based on the 2008 data. This report presents comparisons between the CC resistivity data and results from the 37 test holes and includes all binned and inverted CC resistivity datasets from all four years as well as the EC log data for the 37 test holes acquired in 2008 and 2009. The information gained from these data can help State and local water managers and scientists better understand the characteristics of the shallow subsurface underlying the irrigation canals so that the water resources can be managed more effectively.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095194","collaboration":"Prepared in cooperation with the North Platte Natural Resources District","usgsCitation":"Burton, B., Johnson, M., Vrabel, J., Imig, B.H., Payne, J., and Tompkins, R.E., 2009, Capacitively Coupled Resistivity Survey of Selected Irrigation Canals Within the North Platte River Valley, Western Nebraska and Eastern Wyoming, 2004 and 2007-2009: U.S. Geological Survey Scientific Investigations Report 2009-5194, Report: vi, 70 p.; Figure; Digital Data Directory, https://doi.org/10.3133/sir20095194.","productDescription":"Report: vi, 70 p.; Figure; Digital Data Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2004-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125683,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5194.jpg"},{"id":13043,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5194/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.33333333333333,41.5 ], [ -104.33333333333333,42.333333333333336 ], [ -102.66666666666667,42.333333333333336 ], [ -102.66666666666667,41.5 ], [ -104.33333333333333,41.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fde4b07f02db5f693a","contributors":{"authors":[{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":303396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":303394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrabel, Joseph 0000-0002-8773-0764 jvrabel@usgs.gov","orcid":"https://orcid.org/0000-0002-8773-0764","contributorId":1577,"corporation":false,"usgs":true,"family":"Vrabel","given":"Joseph","email":"jvrabel@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Imig, Brian H.","contributorId":103376,"corporation":false,"usgs":true,"family":"Imig","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":303399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Payne, Jason 0000-0003-4294-7924 jdpayne@usgs.gov","orcid":"https://orcid.org/0000-0003-4294-7924","contributorId":1062,"corporation":false,"usgs":true,"family":"Payne","given":"Jason ","email":"jdpayne@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303395,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tompkins, Ryan E.","contributorId":20851,"corporation":false,"usgs":true,"family":"Tompkins","given":"Ryan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303398,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":97864,"text":"pp1762 - 2009 - Volcanic processes and geology of Augustine Volcano, Alaska","interactions":[],"lastModifiedDate":"2022-04-14T20:19:07.770332","indexId":"pp1762","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1762","title":"Volcanic processes and geology of Augustine Volcano, Alaska","docAbstract":"Augustine Island (volcano) in lower Cook Inlet, Alaska, has erupted repeatedly in late-Holocene and historical times. Eruptions typically beget high-energy volcanic processes. Most notable are bouldery debris avalanches containing immense angular clasts shed from summit domes. Coarse deposits of these avalanches form much of Augustine's lower flanks. A new geologic map at 1:25,000 scale depicts these deposits, these processes. We correlate deposits by tephra layers calibrated by many radiocarbon dates.Augustine Volcano began erupting on the flank of a small island of Jurassic clastic-sedimentary rock before the late Wisconsin glaciation (late Pleistocene). The oldest known effusions ranged from olivine basalt explosively propelled by steam, to highly explosive magmatic eruptions of dacite or rhyodacite shed as pumice flows. Late Wisconsin piedmont glaciers issuing from the mountainous western mainland surrounded the island while dacitic eruptive debris swept down the south volcano flank.Evidence is scant for eruptions between the late Wisconsin and about 2,200 yr B.P. On a few south-flank inliers, thick stratigraphically low pumiceous pyroclastic-flow and fall deposits probably represent this period from which we have no radiocarbon dates on Augustine Island. Eruptions between about 5,350 and 2,200 yr B.P. we know with certainty by distal tephras. On Shuyak Island 100 km southeast of Augustine, two distal fall ashes of Augustinian chemical provenance (microprobe analysis of glass) date respectively between about 5,330 and 5,020 yr B.P. and between about 3,620 and 3,360 yr B.P. An Augustine ash along Kamishak Creek 70 km southwest of Augustine dates between about 3,850 and 3,660 yr B.P. A probably Augustinian ash lying within peat near Homer dates to about 2,275 yr B.P.From before 2,200 yr B.P. to the present, Augustine eruptive products abundantly mantle the island. During this period, numerous coarse debris avalanches swept beyond Augustine's coast, most recently in A.D. 1883. The decapitated summit after the 1883 eruption, replaced by andesite domes of six eruptions since, shows a general process: collapse of steep summit domes, then the summit regrown by later dome eruptions. The island's stratigraphy is based on six or seven coarse-pumice tephra \"marker beds.\" In upward succession they are layers G (2,100 yr B.P.), I (1,700 yr B.P.), H (1,400 yr B.P.), C (1,200-1,000 yr B.P.), M (750 yr B.P.), and B (390 yr B.P.).A coarse, hummocky debris-avalanche deposit older than about 2,100 yr B.P.-or perhaps a stack of three of them-lies along the east coast, the oldest exposed such bouldery diamicts on Augustine Island. Two large debris avalanches swept east and southeast into the sea between about 2,100 and 1,800 yr B.P. A large debris avalanche shed east and east-northeast into the sea between 1,700 and 14,00 yr B.P.Between about 1,400 and 1,100 yr B.P. debris avalanches swept into the sea on the volcano's south, southwest, and north-northwest. Pumiceous pyroclastic fans spread to the southeast and southwest, lithic pyroclastic flows and lahars (?) to the south and southeast. Pyroclastic flows, pyroclastic surges, and lahars swept down the west and south flanks between about 1,000 and 750 yr B.P.A debris avalanche swept into the sea on the west, and a small one on the south-southeast, between about 750 and 400 yr B.P. Large lithic pyroclastic flows shed to the southeast; smaller ones descended existing swales on the southwest and south.Between about 400 yr B.P. and historical time (late 1770s), three debris avalanches swept into the sea on the west-northwest, north-northwest, and north flanks. One of them (West Island) was large and fast: most of it rode to sea far beyond a former sea cliff, and its surface includes geomorphic evidence of having initiating a tsunami. Augustine's only conspicuous lava flow erupted on the north flank.During this prehistoric period numerous domes grew at the volcano's summit, remnants of which form the east and south sides of the present summit-dome complex. Three domes grew below the summit area on the upper south and northwest flanks. In between large eruptions that deposited coarse pumiceous fall beds, many smaller eruptions emplaced beds of sand-sized ash on the volcano flanks.During the past 750 years, beach and back-beach eolian dunes accreted at the southwest coast, forming a ribbed coastwise topography. Lesser dunes grew at the backs of beaches in coves on other flanks.An eruption in 1883 shed a debris avalanche swiftly into the sea on the north-northeast, followed by pyroclastic flows and surges. Eruptions in 1935 and 1963-64 grew summit domes that spilled over the southwest and south flanks and shed coarse rubbly lithic pyroclastic flows down those flanks. Eruptions and 1976 and 1986 grew domes that draped down the north flank and shed voluminous pyroclastic flows to the northeast through north-northwest flanks, when smaller pyroclastic flows and (or) lahars swept down other flanks. A small dome-building eruption in January-March 2006 after this report was all but complete we treat only fleetingly. The largest debris avalanches sweep into the sea at Augustine's coast at speeds inferred between 60 and 80 m/s. Augustine is capable of initiating damaging tsunami to lower Cook Inlet, but geologic evidence for them on the mainland is sporadic and sparse.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1762","usgsCitation":"Waitt, R.B., and Beget, J.E., 2009, Volcanic processes and geology of Augustine Volcano, Alaska: U.S. Geological Survey Professional Paper 1762, Report: viii, 79 p.; 2 Plates: 56.5 x 36 inches and 57 x 39 inches, https://doi.org/10.3133/pp1762.","productDescription":"Report: viii, 79 p.; 2 Plates: 56.5 x 36 inches and 57 x 39 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":118582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp_1762.jpg"},{"id":13039,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1762/","linkFileType":{"id":5,"text":"html"}},{"id":398776,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87411.htm"}],"scale":"25000","country":"United States","state":"Alaska","otherGeospatial":"Augustine Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.5833,\n 59.3167\n ],\n [\n -153.3333,\n 59.3167\n ],\n [\n -153.3333,\n 59.4222\n ],\n [\n -153.5833,\n 59.4222\n ],\n [\n -153.5833,\n 59.3167\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd9d5","contributors":{"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":303382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beget, James E.","contributorId":22757,"corporation":false,"usgs":true,"family":"Beget","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":303383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97866,"text":"sir20095133 - 2009 - Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers","interactions":[],"lastModifiedDate":"2023-04-07T21:26:05.299907","indexId":"sir20095133","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5133","title":"Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers","docAbstract":"Regional hydraulic geometry curves are power-function equations that relate riffle dimensions and bankfull discharge to drainage-basin size. They are defined by data collected through surveys conducted at stable stream reaches and can be used to aid watershed managers, design engineers, and others involved in determination of the best course of action for an unstable stream. Hydraulic geometry curves provide a mechanism through which comparisons can be made between riffle dimensions collected at an unstable stream to those collected at stable streams within the same region. In 2005, a study was initiated to delineate regional hydraulic geometry curves for Michigan. After
in-office review of 343 U.S. Geological Survey streamgaging stations and an extensive field reconnaissance effort, 44 stable reaches were selected for this study. Detailed surveys that included cross-sectional and longitudinal profiles and pebble counts were conducted at selected streamgages, which were distributed throughout Michigan. By use of survey data from riffle cross sections and water-surface slope, bankfull discharge was estimated and compared to flood-recurrence intervals using regional flood equations. This comparison shows that bankfull discharges in Michigan recur more frequently than every 2 years.
Regional hydraulic geometry curves were developed rather than statewide curves owing to large differences in factors that control channel geometry across the State. However, after the data were subdivided according to ecoregions, it was determined that there were enough data to delineate regional hydraulic geometry curves only for the Southern Lower Michigan Ecoregion. For this ecoregion, geometry curve equations and their coefficients of determination are:
Width = 8.19 x DA0.44; R2 = 0.69,
Depth = 0.67 x DA0.27; R2 = 0.28,
Area = 4.38 x DA0.74; R2 = 0.59,
where
DA is the drainage area and
R2 is the coefficient of determination.
By use of discharge estimates for the Southern Lower Michigan Ecoregion, a bankfull discharge curve was delineated. The corresponding equation and its coefficient of determination are:
Discharge = 4.05 x DA0.95; R2 = 0.60.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095133","collaboration":"Prepared in cooperation with the Michigan Department of Environmental Quality, Michigan Department of Transportation, U.S. Army Corps of Engineers, and \r\nU.S. Fish and Wildlife Service","usgsCitation":"Rachol, C.M., and Boley-Morse, K., 2009, Estimated bankfull discharge for selected Michigan rivers and regional hydraulic geometry curves for estimating bankfull characteristics in southern Michigan rivers: U.S. Geological Survey Scientific Investigations Report 2009-5133, Report: vi, 17 p.; 3 Appendixes, https://doi.org/10.3133/sir20095133.","productDescription":"Report: vi, 17 p.; 3 Appendixes","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":13041,"rank":2,"type":{"id":15,"text":"Index 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\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fdc69","contributors":{"authors":[{"text":"Rachol, Cynthia M. 0000-0001-9984-3435 crachol@usgs.gov","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":3488,"corporation":false,"usgs":true,"family":"Rachol","given":"Cynthia","email":"crachol@usgs.gov","middleInitial":"M.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":303385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boley-Morse, Kristine","contributorId":75652,"corporation":false,"usgs":true,"family":"Boley-Morse","given":"Kristine","email":"","affiliations":[],"preferred":false,"id":303386,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97861,"text":"fs20093051 - 2009 - Lead poisoning in wild birds","interactions":[],"lastModifiedDate":"2023-10-24T18:30:09.261115","indexId":"fs20093051","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","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":"2009-3051","displayTitle":"Lead Poisoning in Wild Birds","title":"Lead poisoning in wild birds","docAbstract":"Lead in its various forms has been used for thousands of years, originally in cooking utensils and glazes and more recently in many industrial and commercial applications. However, lead is a potent, potentially deadly toxin that damages many organs in the body and can affect all animals, including humans. By the mid 1990s, lead had been removed from many products in the United States, such as paint and fuel, but it is still commonly used in ammunition for hunting upland game birds, small mammals, and large game animals, as well as in fishing tackle. Wild birds, such as mourning doves, bald eagles, California condors, and loons, can die from the ingestion of one lead shot, bullet fragment, or sinker. According to a recent study on loon mortality, nearly half of adult loons found sick or dead during the breeding season in New England were diagnosed with confirmed or suspected lead poisoning from ingestion of lead fishing weights. Recent regulations in some states have restricted the use of lead ammunition on certain upland game hunting areas, as well as lead fishing tackle in areas frequented by common loons and trumpeter swans. A variety of alternatives to lead are available for use in hunting, shooting sports, and fishing activities.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093051","usgsCitation":"Lahner, L.L., and Franson, J., 2009, Lead poisoning in wild birds: U.S. Geological Survey Fact Sheet 2009-3051, 4 p., https://doi.org/10.3133/fs20093051.","productDescription":"4 p.","ipdsId":"IP-014418","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":13036,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3051/","linkFileType":{"id":5,"text":"html"}},{"id":118553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3051.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8695","contributors":{"authors":[{"text":"Lahner, Lesanna L.","contributorId":55103,"corporation":false,"usgs":true,"family":"Lahner","given":"Lesanna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":303372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Franson, J. Christian 0000-0002-0251-4238","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":95002,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":303373,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97853,"text":"sir20095140 - 2009 - Hydrologic Conditions that Influence Streamflow Losses in a Karst Region of the Upper Peace River, Polk County, Florida","interactions":[],"lastModifiedDate":"2012-02-10T00:11:46","indexId":"sir20095140","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5140","title":"Hydrologic Conditions that Influence Streamflow Losses in a Karst Region of the Upper Peace River, Polk County, Florida","docAbstract":"The upper Peace River from Bartow to Fort Meade, Florida, is described as a groundwater recharge area, reflecting a reversal from historical groundwater discharge patterns that existed prior to the 1950s. The upper Peace River channel and floodplain are characterized by extensive karst development, with numerous fractures, crevasses, and sinks that have been eroded in the near-surface and underlying carbonate bedrock. With the reversal in groundwater head gradients, river water is lost to the underlying groundwater system through these karst features. An investigation was conducted to evaluate the hydrologic conditions that influence streamflow losses in the karst region of the upper Peace River. \r\n\r\nThe upper Peace River is located in a basin that has been altered substantially by phosphate mining and increases in groundwater use. These alterations have changed groundwater flow patterns and caused streamflow declines through time. Hydrologic factors that have had the greatest influence on streamflow declines in the upper Peace River include the lowering of the potentiometric surfaces of the intermediate aquifer system and Upper Floridan aquifer beneath the riverbed elevation due to below-average rainfall (droughts), increases in groundwater use, and the presence of numerous karst features in the low-water channel and floodplain that enhance the loss of streamflow.\r\n\r\nSeepage runs conducted along the upper Peace River, from Bartow to Fort Meade, indicate that the greatest streamflow losses occurred along an approximate 2-mile section of the river beginning about 1 mile south of the Peace River at Bartow gaging station. Along the low-water and floodplain channel of this 2-mile section, there are about 10 prominent karst features that influence streamflow losses. Losses from the individual karst features ranged from 0.22 to 16 cubic feet per second based on measurements made between 2002 and 2007. The largest measured flow loss for all the karst features was about 50 cubic feet per second, or about 32 million gallons per day, on June 28, 2002. \r\n\r\nStreamflow losses varied throughout the year, and were related to seasonal fluctuations in groundwater levels. When groundwater levels were at their lowest level at the end of the dry season (May and June), there was an increased potential for streamflow losses. During this study, the largest streamflow losses occurred at the beginning of the summer rainy season when discharge in the river increased and large volumes of water were needed to replenish unfilled cavities and void spaces in the underlying aquifers.\r\n\r\nThe underlying geology along the upper Peace River and floodplain is highly karstified, and aids in the movement and amount of streamflow that is lost to the groundwater system in this region. Numerous karst features and fractured carbonates and cavernous zones observed in geologic cores and geophysical logs indicate an active, well-connected, groundwater flow system. Aquifer and dye tests conducted along the upper Peace River indicate the presence of cavernous and highly transmissive layers within the floodplain area that can store and transport large volumes of water in underground cavities. A discharge measurement made during this study indicates that the cavernous system associated with Dover Sink can accept over 10 million gallons per day (16 cubic feet per second) of streamflow before the localized aquifer storage volume is replenished and the level of the sink is stabilized.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095140","isbn":"9781411325456","collaboration":"Prepared in cooperation with the Southwest Florida Water Management District","usgsCitation":"Metz, P.A., and Lewelling, B., 2009, Hydrologic Conditions that Influence Streamflow Losses in a Karst Region of the Upper Peace River, Polk County, Florida: U.S. Geological Survey Scientific Investigations Report 2009-5140, x, 82 p., https://doi.org/10.3133/sir20095140.","productDescription":"x, 82 p.","temporalStart":"2001-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":125609,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5140.jpg"},{"id":13028,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5140/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.08333333333333,27.583333333333332 ], [ -82.08333333333333,28.166666666666668 ], [ -81.5,28.166666666666668 ], [ -81.5,27.583333333333332 ], [ -82.08333333333333,27.583333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db614457","contributors":{"authors":[{"text":"Metz, P. A.","contributorId":68706,"corporation":false,"usgs":true,"family":"Metz","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":303355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewelling, B. R.","contributorId":17969,"corporation":false,"usgs":true,"family":"Lewelling","given":"B. R.","affiliations":[],"preferred":false,"id":303354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97850,"text":"fs20093093 - 2009 - Monitoring for Pesticides in Groundwater and Surface Water in Nevada, 2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:31","indexId":"fs20093093","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","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":"2009-3093","title":"Monitoring for Pesticides in Groundwater and Surface Water in Nevada, 2008","docAbstract":"Commercial pesticide applicators, farmers, and homeowners apply about 1 billion pounds of pesticides annually to agricultural land, non-crop land, and urban areas throughout the United States (Gilliom and others, 2006, p. 1). The U.S. Environmental Protection Agency (USEPA) defines a pesticide as any substance used to kill or control insects, weeds, plant diseases, and other pest organisms. Although there are important benefits from the proper use of pesticides, like crop protection and prevention of human disease outbreaks, there are also risks. One risk is the contamination of groundwater and surface-water resources. Data collected during 1992-2001 from 51 major hydrologic systems across the United States indicate that one or more pesticide or pesticide breakdown product was detected in more than 50 percent of 5,057 shallow (less than 20 feet below land surface) wells and in all of the 186 stream sites that were sampled in agricultural and urban areas (Gilliom and others, 2006, p. 2-4).\r\n\r\nPesticides can contaminate surface water and groundwater from both point sources and non-point sources. Point sources are from specific locations such as spill sites, disposal sites, pesticide drift during application, and application of pesticides to control aquatic pests. Non-point sources represent the dominant source of surface water and groundwater contamination and may include agricultural and urban runoff, erosion, leaching from application sites, and precipitation that has become contaminated by upwind applications. Pesticides typically enter surface water when rainfall or irrigation exceeds the infiltration capacity of soil and resulting runoff then transports pesticides to streams, rivers, and other surface-water bodies. Contamination of groundwater may result directly from spills near poorly sealed well heads and from pesticide applications through improperly designed or malfunctioning irrigation systems that also are used to apply pesticides (chemigation; Carpenter and Johnson, 1997). Groundwater contamination also may come indirectly by the percolation of agricultural and urban irrigation water through soil layers and into groundwater and from pesticide residue in surface water, such as drainage ditches, streams, and municipal wastewater.\r\n \r\nTo protect surface water and groundwater from pesticide contamination, the USEPA requires that all states establish a pesticide management plan. The Nevada Department of Agriculture (NDOA), with assistance from the USEPA, developed a management program of education (Hefner and Donaldson, 2006), regulation (Johnson and others, 2006), and monitoring (Pennington and others, 2001) to protect Nevada's water resources from pesticide contaminants. Sampling sites are located in areas where urban or agricultural pesticide use may affect groundwater, water bodies, endangered species, and other aquatic life. Information gathered from these sites is used by NDOA to help make regulatory decisions that will protect human and environmental health by reducing and eliminating the occurrence of pesticide contamination. This fact sheet describes current (2008) pesticide monitoring of groundwater and streams by the NDOA in Nevada and supersedes Pennington and others (2001).","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20093093","usgsCitation":"Thodal, C.E., Carpenter, J., and Moses, C.W., 2009, Monitoring for Pesticides in Groundwater and Surface Water in Nevada, 2008: U.S. Geological Survey Fact Sheet 2009-3093, 4 p., https://doi.org/10.3133/fs20093093.","productDescription":"4 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":125423,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2009_3093.jpg"},{"id":13025,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2009/3093/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,35 ], [ -120,42 ], [ -114,42 ], [ -114,35 ], [ -120,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b04e4b07f02db69913d","contributors":{"authors":[{"text":"Thodal, Carl E. 0000-0003-0782-3280 cethodal@usgs.gov","orcid":"https://orcid.org/0000-0003-0782-3280","contributorId":2292,"corporation":false,"usgs":true,"family":"Thodal","given":"Carl","email":"cethodal@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carpenter, Jon","contributorId":72040,"corporation":false,"usgs":true,"family":"Carpenter","given":"Jon","email":"","affiliations":[],"preferred":false,"id":303348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moses, Charles W.","contributorId":28232,"corporation":false,"usgs":true,"family":"Moses","given":"Charles","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":303347,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97851,"text":"sir20095191 - 2009 - Simulation of streamflow and water quality in the Leon Creek watershed, Bexar County, Texas, 1997-2004","interactions":[],"lastModifiedDate":"2012-12-17T09:37:03","indexId":"sir20095191","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5191","title":"Simulation of streamflow and water quality in the Leon Creek watershed, Bexar County, Texas, 1997-2004","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers and the San Antonio River Authority, configured, calibrated, and tested a Hydrological Simulation Program ? FORTRAN watershed model for the approximately 238-square-mile Leon Creek watershed in Bexar County, Texas, and used the model to simulate streamflow and water quality (focusing on loads and yields of selected constituents). Streamflow in the model was calibrated and tested with available data from five U.S. Geological Survey streamflow-gaging stations for 1997-2004. Simulated streamflow volumes closely matched measured streamflow volumes at all streamflow-gaging stations. Total simulated streamflow volumes were within 10 percent of measured values. Streamflow volumes are greatly influenced by large storms. Two months that included major floods accounted for about 50 percent of all the streamflow measured at the most downstream gaging station during 1997-2004. \n\nWater-quality properties and constituents (water temperature, dissolved oxygen, suspended sediment, dissolved ammonia nitrogen, dissolved nitrate nitrogen, and dissolved and total lead and zinc) in the model were calibrated using available data from 13 sites in and near the Leon Creek watershed for varying periods of record during 1992-2005. Average simulated daily mean water temperature and dissolved oxygen at the most downstream gaging station during 1997-2000 were within 1 percent of average measured daily mean water temperature and dissolved oxygen. Simulated suspended-sediment load at the most downstream gaging station during 2001-04 (excluding July 2002 because of major storms) was 77,700 tons compared with 74,600 tons estimated from a streamflow-load regression relation (coefficient of determination = .869). Simulated concentrations of dissolved ammonia nitrogen and dissolved nitrate nitrogen closely matched measured concentrations after calibration. At the most downstream gaging station, average simulated monthly mean concentrations of dissolved ammonia and nitrate concentrations during 1997-2004 were 0.03 and 0.37 milligram per liter, respectively. For the most downstream station, the measured and simulated concentrations of dissolved and total lead and zinc for stormflows during 1993-97 after calibration do not match particularly closely. For base-flow conditions during 1997-2004 at the most downstream station, the simulated/measured match is better. For example, median simulated concentration of total lead (for 2,041 days) was 0.96 microgram per liter, and median measured concentration (for nine samples) of total lead was 1.0 microgram per liter. \n\nTo demonstrate an application of the Leon Creek watershed model, streamflow constituent loads and yields for suspended sediment, dissolved nitrate nitrogen, and total lead were simulated at the mouth of Leon Creek (outlet of the watershed) for 1997-2004. The average suspended-sediment load was 51,800 tons per year. The average suspended-sediment yield was 0.34 ton per acre per year. The average load of dissolved nitrate at the outlet of the watershed was 802 tons per year. The corresponding yield was 10.5 pounds per acre per year. The average load of lead at the outlet was 3,900 pounds per year. The average lead yield was 0.026 pound per acre per year.\n\nThe degree to which available rainfall data represent actual rainfall is potentially the most serious source of measurement error associated with the Leon Creek model. Major storms contribute most of the streamflow loads for certain constituents. For example, the three largest stormflows contributed about 64 percent of the entire suspended-sediment load at the most downstream station during 1997-2004.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20095191","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the San Antonio River Authority","usgsCitation":"Ockerman, D.J., and Roussel, M.C., 2009, Simulation of streamflow and water quality in the Leon Creek watershed, Bexar County, Texas, 1997-2004: U.S. Geological Survey Scientific Investigations Report 2009-5191, vi, 51 p., https://doi.org/10.3133/sir20095191.","productDescription":"vi, 51 p.","temporalStart":"1997-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":125681,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5191.jpg"},{"id":13026,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5191/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Bexar","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.83333333333333,29.166666666666668 ], [ -98.83333333333333,29.75 ], [ -98,29.75 ], [ -98,29.166666666666668 ], [ -98.83333333333333,29.166666666666668 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db698358","contributors":{"authors":[{"text":"Ockerman, Darwin J. 0000-0003-1958-1688 ockerman@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-1688","contributorId":1579,"corporation":false,"usgs":true,"family":"Ockerman","given":"Darwin","email":"ockerman@usgs.gov","middleInitial":"J.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roussel, Meghan C. mroussel@usgs.gov","contributorId":1578,"corporation":false,"usgs":true,"family":"Roussel","given":"Meghan","email":"mroussel@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":303349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":97865,"text":"sir20095177 - 2009 - Annual peak-flow frequency characteristics and (or) peak dam-pool-elevation frequency characteristics of dry dams and selected streamflow-gaging stations in the Great Miami River Basin, Ohio","interactions":[],"lastModifiedDate":"2023-12-14T19:39:19.584691","indexId":"sir20095177","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5177","title":"Annual peak-flow frequency characteristics and (or) peak dam-pool-elevation frequency characteristics of dry dams and selected streamflow-gaging stations in the Great Miami River Basin, Ohio","docAbstract":"This report describes the results of a study to determine frequency characteristics of postregulation annual peak flows at streamflow-gaging stations at or near the Lockington, Taylorsville, Englewood, Huffman, and Germantown dry dams in the Miami Conservancy District flood-protection system (southwestern Ohio) and five other streamflow-gaging stations in the Great Miami River Basin further downstream from one or more of the dams. In addition, this report describes frequency characteristics of annual peak elevations of the dry-dam pools. In most cases, log-Pearson Type III distributions were fit to postregulation annual peak-flow values through 2007 (the most recent year of published peak-flow values at the time of this analysis) and annual peak dam-pool storage values for the period 1922–2008 to determine peaks with recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years. For one streamflow-gaging station (03272100) with a short period of record, frequency characteristics were estimated by means of a process involving interpolation of peak-flow yields determined for an upstream and downstream gage. Once storages had been estimated for the various recurrence intervals, corresponding dam-pool elevations were determined from elevation-storage ratings provided by the Miami Conservancy District.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095177","collaboration":"Prepared in cooperation With the Miami Conservancy District","usgsCitation":"Koltun, G., 2009, Annual peak-flow frequency characteristics and (or) peak dam-pool-elevation frequency characteristics of dry dams and selected streamflow-gaging stations in the Great Miami River Basin, Ohio: U.S. Geological Survey Scientific Investigations Report 2009-5177, iv, 15 p., https://doi.org/10.3133/sir20095177.","productDescription":"iv, 15 p.","temporalStart":"1922-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":423580,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87417.htm","linkFileType":{"id":5,"text":"html"}},{"id":125675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5177.jpg"},{"id":13040,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5177/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Great Miami River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.8206,\n 40.55\n ],\n [\n -84.8206,\n 39.1\n ],\n [\n -83.5833,\n 39.1\n ],\n [\n -83.5833,\n 40.55\n ],\n [\n -84.8206,\n 40.55\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac8e4b07f02db67bbc8","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":303384,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":97855,"text":"ofr20091162 - 2009 - Rainfall, discharge, and water-quality data during stormwater monitoring, July 1, 2008, to June 30, 2009; Halawa Stream drainage basin and the H-1 storm drain, Oahu, Hawaii","interactions":[],"lastModifiedDate":"2022-06-15T18:12:43.09528","indexId":"ofr20091162","displayToPublicDate":"2009-09-29T00:00:00","publicationYear":"2009","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":"2009-1162","title":"Rainfall, discharge, and water-quality data during stormwater monitoring, July 1, 2008, to June 30, 2009; Halawa Stream drainage basin and the H-1 storm drain, Oahu, Hawaii","docAbstract":"Storm runoff water-quality samples were collected as part of the State of Hawaii Department of Transportation Stormwater Monitoring Program. The program is designed to assess the effects of highway runoff and urban runoff on Halawa Stream, and to assess the effects from the H-1 storm drain on Manoa Stream. For this program, rainfall data were collected at three stations, continuous discharge data at five stations, and water-quality data at six stations, which include the five continuous discharge stations. This report summarizes rainfall, discharge, and water-quality data collected between July 1, 2008, and June 30, 2009. \r\n\r\nWithin the Halawa Stream drainage area, three storms (October 25 and December 11, 2008, and February 3, 2009) were sampled during July 1, 2008, to June 30, 2009. A total of 43 environmental samples were collected during these three storms. During the storm of October 25, 2009, 31 samples were collected and analyzed individually for metals only. The other 12 samples from the other two storms were analyzed for some or all of the following analytes: total suspended solids, total dissolved solids, nutrients, chemical oxygen demand, and selected trace metals (cadmium, chromium, copper, lead, and zinc). Additionally, grab samples were analyzed for some or all of the following analytes: oil and grease, total petroleum hydrocarbons, fecal coliform, and biological oxygen demand. Some grab and composite samples were analyzed for only a partial list of these analytes, either because samples could not be delivered to the laboratory in a timely manner, or an insufficient volume of sample was collected by the automatic samplers. Two quality-assurance/quality-control samples were collected after cleaning automatic sampler lines to verify that the sampling lines were not contaminated. \r\n\r\nFour environmental samples were collected at the H-1 Storm Drain during July 1, 2008, to June 30, 2009. An oil and grease sample and a composite sample were collected during the storm on November 15, 2008, and two composite samples were collected during the January 11, 2009, storm. All samples at this site were collected using an automatic sampler. Samples were analyzed for some or all of the following analytes: total suspended solids, nutrients, oil and grease, total petroleum hydrocarbons, and selected trace metals (cadmium, chromium, copper, lead, nickel, and zinc). One qualityassurance/quality-control sample was collected after cleaning automatic sampler lines to verify that the sampling lines were not contaminated. \r\n\r\nDuring the storm of January 11, 2009, the two composite samples collected at H-1 Storm Drain were collected about three hours apart. Higher constituent concentrations were detected in the first 2 composite sample relative to the second composite sample, although the average discharge was higher during the period when the second sample was collected.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091162","collaboration":"Prepared in cooperation with the State of Hawaii Department of Transportation","usgsCitation":"Presley, T.K., and Jamison, M.T., 2009, Rainfall, discharge, and water-quality data during stormwater monitoring, July 1, 2008, to June 30, 2009; Halawa Stream drainage basin and the H-1 storm drain, Oahu, Hawaii: U.S. Geological Survey Open-File Report 2009-1162, Report: vi, 48 p.; 2 Tables, https://doi.org/10.3133/ofr20091162.","productDescription":"Report: vi, 48 p.; 2 Tables","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-07-01","temporalEnd":"2009-06-30","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":118525,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1162.jpg"},{"id":13030,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1162/","linkFileType":{"id":5,"text":"html"}},{"id":402218,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_87413.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.93190002441406,\n 21.36996550312423\n ],\n [\n -157.81654357910156,\n 21.36996550312423\n ],\n [\n -157.81654357910156,\n 21.420791878140957\n ],\n [\n -157.93190002441406,\n 21.420791878140957\n ],\n [\n -157.93190002441406,\n 21.36996550312423\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685f32","contributors":{"authors":[{"text":"Presley, Todd K. 0000-0001-5851-0634 tkpresle@usgs.gov","orcid":"https://orcid.org/0000-0001-5851-0634","contributorId":2671,"corporation":false,"usgs":true,"family":"Presley","given":"Todd","email":"tkpresle@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":303357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jamison, Marcael T. J.","contributorId":6817,"corporation":false,"usgs":true,"family":"Jamison","given":"Marcael","email":"","middleInitial":"T. J.","affiliations":[],"preferred":false,"id":303358,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70003891,"text":"70003891 - 2009 - Climate in the dry central Andes over geologic, millenial, and interannual timescales","interactions":[],"lastModifiedDate":"2021-02-19T20:37:24.730509","indexId":"70003891","displayToPublicDate":"2009-09-28T16:50:09","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":800,"text":"Annals of the Missouri Botanical Garden","active":true,"publicationSubtype":{"id":10}},"title":"Climate in the dry central Andes over geologic, millenial, and interannual timescales","docAbstract":"Over the last eight years, we have developed several paleoenvironmental records from a broad geographic region spanning the Altiplano in Bolivia (18°S–22°S) and continuing south along the western Andean flank to ca. 26°S. These records include: cosmogenic nuclide concentrations in surface deposits, dated nitrate paleosoils, lake levels, groundwater levels from wetland deposits, and plant macrofossils from urine-encrusted rodent middens. Arid environments are often uniquely sensitive to climate perturbations, and there is evidence of significant changes in precipitation on the western flank of the central Andes and the adjacent Altiplano. In contrast, the Atacama Desert of northern Chile is hyperarid over many millions of years. This uniquely prolonged arid climate requires the isolation of the Atacama from the Amazon Basin, a situation that has existed for more than 10 million years and that resulted from the uplift of the Andes and/or formation of the Altiplano plateau. New evidence from multiple terrestrial cosmogenic nuclides, however, suggests that overall aridity is occasionally punctuated by rare rainfall events that likely originate from the Pacific. East of the hyperarid zone, climate history from multiple proxies reveals alternating wet and dry intervals where changes in precipitation originating from the Atlantic may exceed 50%. An analysis of Pleistocene climate records across the region allows reconstruction of the spatial and temporal components of climate change. These Pleistocene wet events span the modern transition between two modes of interannual precipitation variability, and regional climate history for the Central Andean Pluvial Event (CAPE; ca. 18–8 ka) points toward similar drivers of modern interannual and past millennial-scale climate variability. The north-northeast mode of climate variability is linked to El Niño–Southern Oscillation (ENSO) variability, and the southeast mode is linked to aridity in the Chaco region of Argentina.
","language":"English","publisher":"Missouri Botanical Garden","doi":"10.3417/2008019","usgsCitation":"Placzek, C., Quade, J., Betancourt, J.L., Patchett, P.J., Rech, J.A., Latorre, C., Matmon, A., Holmgren, C., and English, N., 2009, Climate in the dry central Andes over geologic, millenial, and interannual timescales: Annals of the Missouri Botanical Garden, v. 96, no. 3, p. 386-397, https://doi.org/10.3417/2008019.","productDescription":"12 p.","startPage":"386","endPage":"397","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":476063,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3231675","text":"External Repository"},{"id":383398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru, Bolivia, Chile, Argentina","otherGeospatial":"Andes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.37695312499999,\n -29.152161283318915\n ],\n [\n -66.97265625,\n -29.152161283318915\n ],\n [\n -66.97265625,\n -12.554563528593656\n ],\n [\n -76.37695312499999,\n -12.554563528593656\n ],\n [\n -76.37695312499999,\n -29.152161283318915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"96","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d6e4b07f02db5de20f","contributors":{"authors":[{"text":"Placzek, Christa","contributorId":80389,"corporation":false,"usgs":true,"family":"Placzek","given":"Christa","email":"","affiliations":[],"preferred":false,"id":349328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quade, Jay","contributorId":104197,"corporation":false,"usgs":true,"family":"Quade","given":"Jay","email":"","affiliations":[],"preferred":false,"id":349330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":349323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patchett, P. Jonathan","contributorId":80225,"corporation":false,"usgs":true,"family":"Patchett","given":"P.","email":"","middleInitial":"Jonathan","affiliations":[],"preferred":false,"id":349327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rech, Jason A.","contributorId":30730,"corporation":false,"usgs":true,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":349324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Latorre, Claudio","contributorId":94019,"corporation":false,"usgs":true,"family":"Latorre","given":"Claudio","affiliations":[],"preferred":false,"id":349329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matmon, Ari","contributorId":105831,"corporation":false,"usgs":true,"family":"Matmon","given":"Ari","affiliations":[],"preferred":false,"id":349331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmgren, Camille","contributorId":59924,"corporation":false,"usgs":true,"family":"Holmgren","given":"Camille","affiliations":[],"preferred":false,"id":349325,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"English, Nathan B.","contributorId":73725,"corporation":false,"usgs":true,"family":"English","given":"Nathan B.","affiliations":[],"preferred":false,"id":349326,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70157543,"text":"70157543 - 2009 - Temporal characteristics of coherent flow structures generated over alluvial sand dunes, Mississippi River, revealed by acoustic doppler current profiling and multibeam echo sounding","interactions":[],"lastModifiedDate":"2022-11-03T13:42:04.130074","indexId":"70157543","displayToPublicDate":"2009-09-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Temporal characteristics of coherent flow structures generated over alluvial sand dunes, Mississippi River, revealed by acoustic doppler current profiling and multibeam echo sounding","docAbstract":"This paper investigates the flow in the lee of a large sand dune located at the confluence of the Mississippi and Missouri Rivers, USA. Stationary profiles collected from an anchored boat using an acoustic Doppler current profiler (ADCP) were georeferenced with data from a real-time kinematic differential global positioning system. A multibeam echo sounder was used to map the bathymetry of the confluence and provided a morphological context for the ADCP measurements. The flow in the lee of a low-angle dune shows good correspondence with current conceptual models of flow over dunes. As expected, quadrant 2 events (upwellings of low-momentum fluid) are associated with high backscatter intensity. Turbulent events generated in the lower lee of a dune near the bed are associated with periods of vortex shedding and wake flapping. Remnant coherent structures that advect over the lower lee of the dune in the upper portion of the water column, have mostly dissipated and contribute little to turbulence intensities. The turbulent events that occupy most of the water column in the upper lee of the dune are associated with periods of wake flapping.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IAHR Symposium on River Coastal and Estuarine Morphodynamics 2009","conferenceDate":"September 21-25 2009","conferenceLocation":"Santa Fe, Argentina","language":"English","publisher":"CRC Press","usgsCitation":"Czuba, J.A., Oberg, K.A., Best, J.L., Parsons, D.R., Simmons, S.M., Johnson, K., and Malzone, C., 2009, Temporal characteristics of coherent flow structures generated over alluvial sand dunes, Mississippi River, revealed by acoustic doppler current profiling and multibeam echo sounding, in Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009, Santa Fe, Argentina, September 21-25 2009, 6 p.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013599","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":308609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Mississippi River, Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.13425230126444,\n 38.79276452465004\n ],\n [\n -90.13379273893399,\n 38.79129900283712\n ],\n [\n -90.12944778599132,\n 38.79413196785876\n ],\n [\n -90.12326458372672,\n 38.79813700214737\n ],\n [\n -90.11871073881619,\n 38.80492674348011\n ],\n [\n -90.11720671664408,\n 38.812479622121884\n ],\n [\n -90.12213656709794,\n 38.813488782325834\n ],\n [\n -90.12773487185073,\n 38.8066349250372\n ],\n [\n -90.12994912671532,\n 38.80155593678586\n ],\n [\n -90.1304086890458,\n 38.7976487763886\n ],\n [\n -90.13095180816401,\n 38.79569511585811\n ],\n [\n -90.13425230126444,\n 38.79276452465004\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5606703fe4b058f706e51968","contributors":{"authors":[{"text":"Czuba, John A.","contributorId":147994,"corporation":false,"usgs":false,"family":"Czuba","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":573540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":573541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, Jim L.","contributorId":147995,"corporation":false,"usgs":false,"family":"Best","given":"Jim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Daniel R.","contributorId":35170,"corporation":false,"usgs":true,"family":"Parsons","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":573543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simmons, S. M.","contributorId":147996,"corporation":false,"usgs":false,"family":"Simmons","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":573544,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. K.","contributorId":70871,"corporation":false,"usgs":true,"family":"Johnson","given":"K. K.","affiliations":[],"preferred":false,"id":573545,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Malzone, C.","contributorId":38816,"corporation":false,"usgs":true,"family":"Malzone","given":"C.","affiliations":[],"preferred":false,"id":573546,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70158956,"text":"70158956 - 2009 - Velocity mapping in the Lower Congo River: A first look at the unique bathymetry and hydrodynamics of Bulu Reach","interactions":[],"lastModifiedDate":"2021-10-27T16:24:08.484691","indexId":"70158956","displayToPublicDate":"2009-09-25T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Velocity mapping in the Lower Congo River: A first look at the unique bathymetry and hydrodynamics of Bulu Reach","docAbstract":"The lower Congo River is one of the deepest, most powerful, and most biologically diverse stretches of river on Earth. The river’s 270 m decent from Malebo Pool though the gorges of the Crystal Mountains to the Atlantic Ocean (498 km downstream) is riddled with rapids, cataracts, and deep pools. Much of the lower Congo is a mystery from a hydraulics perspective. However, this stretch of the river is a hotbed for biologists who are documenting evolution in action within the diverse, but isolated, fish populations. Biologists theorize that isolation of fish populations within the lower Congo is due to barriers presented by flow structure and bathymetry. To investigate this theory, scientists from the U.S. Geological Survey and American Museum of Natural History teamed up with an expedition crew from National Geographic in 2008 to map flow velocity and bathymetry within target reaches in the lower Congo River using acoustic Doppler current profilers (ADCPs) and echo sounders. Simultaneous biological and water quality sampling was also completed. This paper presents some preliminary results from this expedition, specifically with regard to the velocity structure andbathymetry. Results show that the flow in the bedrock controlled Bulu reach of the lower Congo is highly energetic. Turbulent and secondary flow structures can span the full depth of flow (up to 165 m), while coherent bank-to-bank cross-channel flow structures are absent. Regions of flow separation near the banks are isolated from one another and from the opposite bank by high shear, high velocity zones with depth-averaged flow velocities that can exceed 4 m/s.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"IAHR Symposium on River Coastal and Estuarine Morphodynamics 2009","conferenceDate":"September 21-25 2009","conferenceLocation":"Santa Fe, Argentina","language":"English","publisher":"CRC Press","usgsCitation":"Jackson, P., Oberg, K.A., Gardiner, N., and Shelton, J., 2009, Velocity mapping in the Lower Congo River: A first look at the unique bathymetry and hydrodynamics of Bulu Reach, in Proceedings of the IAHR symposium on river coastal and estuarine morphodynamics 2009, Santa Fe, Argentina, September 21-25 2009, 7 p.","productDescription":"7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013579","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":309789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Democratic Republic of the Congo","otherGeospatial":"Lower Congo River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 17.704467773437496,\n -3.2885981251958962\n ],\n [\n 18.4185791015625,\n -3.381823735328289\n ],\n [\n 18.6163330078125,\n -3.5298694189562885\n ],\n [\n 18.5174560546875,\n -3.7162636347405162\n ],\n [\n 17.583618164062496,\n -3.365372801331187\n ],\n [\n 17.633056640625,\n -3.277629828526926\n ],\n [\n 17.7593994140625,\n -3.2885981251958962\n ],\n [\n 17.704467773437496,\n -3.2885981251958962\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561793d8e4b0cdb063e3fbb1","contributors":{"authors":[{"text":"Jackson, P. 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Ryan","affiliations":[],"preferred":false,"id":577044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberg, Kevin A. kaoberg@usgs.gov","contributorId":928,"corporation":false,"usgs":true,"family":"Oberg","given":"Kevin","email":"kaoberg@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":577045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardiner, Ned","contributorId":147086,"corporation":false,"usgs":false,"family":"Gardiner","given":"Ned","email":"","affiliations":[],"preferred":false,"id":577046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, John","contributorId":149138,"corporation":false,"usgs":false,"family":"Shelton","given":"John","affiliations":[],"preferred":false,"id":577047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":97846,"text":"ofr20091204 - 2009 - Distribution and Joint Fish-Tag Survival of Juvenile Chinook Salmon Migrating through the Sacramento-San Joaquin River Delta, California, 2008","interactions":[],"lastModifiedDate":"2012-02-02T00:15:11","indexId":"ofr20091204","displayToPublicDate":"2009-09-24T00:00:00","publicationYear":"2009","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":"2009-1204","title":"Distribution and Joint Fish-Tag Survival of Juvenile Chinook Salmon Migrating through the Sacramento-San Joaquin River Delta, California, 2008","docAbstract":"Acoustic telemetry was used to obtain the movement histories of 915 juvenile fall-run Chinook salmon (Oncorhynchus tshawytscha) through the lower San Joaquin River and Sacramento-San Joaquin Delta, California, in 2008. Data were analyzed within a release-recapture framework to estimate survival, route distribution, and detection probabilities among three migration pathways through the Delta. The pathways included the primary route through the San Joaquin River and two less direct routes (Old River and Turner Cut). Strong inferences about survival were limited by premature tag failure, but estimates of fish distribution among migration routes should be unaffected by tag failure. Based on tag failure tests (N = 66 tags), we estimated that only 55-78 percent of the tags used in this study were still functioning when the last fish was detected exiting the study area 15 days after release. Due to premature tag failure, our 'survival' estimates represent the joint probability that both the tag and fish survived, not just survival of fish. Low estimates of fish-tag survival could have been caused by fish mortality or fish travel times that exceeded the life of the tag, but we were unable to differentiate between the two. Fish-tag survival through the Delta (from Durham Ferry to Chipps Island by all routes) ranged from 0.05 +or- 0.01 (SE) to 0.06 +or- 0.01 between the two weekly release groups. Among the three migration routes, fish that remained in the San Joaquin River exhibited the highest joint fish-tag survival (0.09 +or- 0.02) in both weeks, but only 22-33 percent of tagged fish used this route, depending on the week of release. Only 4-10 percent (depending on week) of tagged fish traveled through Turner Cut, but no tagged fish that used this route were detected exiting the Delta. Most fish (63-68 percent, depending on week of release) migrated through Old River, but fish-tag survival through this route (0.05 +or- 0.01) was only about one-half that of fish that remained in the San Joaquin River. Once tagged fish entered Old River, only fish collected at two large water conveyance projects and transported through the Delta by truck were detected exiting the Delta, suggesting that this route was the only successful migration pathway for fish that entered Old River. The rate of entrainment of tagged juvenile salmon into Old River was similar to the fraction of San Joaquin River discharge flowing into Old River, which averaged 63 percent but varied tidally and ranged from 33 to 100 percent daily. Although improvements in transmitter battery life are clearly needed, this information will help guide the development of future research and monitoring efforts in this system.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091204","collaboration":"Prepared in cooperation with the Technical Committee of the Vernalis Adaptive Management Plan and the San Joaquin River Group Authority","usgsCitation":"Holbrook, C., Perry, R.W., and Adams, N.S., 2009, Distribution and Joint Fish-Tag Survival of Juvenile Chinook Salmon Migrating through the Sacramento-San Joaquin River Delta, California, 2008: U.S. Geological Survey Open-File Report 2009-1204, vi, 31 p., https://doi.org/10.3133/ofr20091204.","productDescription":"vi, 31 p.","temporalStart":"2008-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":125497,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2009_1204.jpg"},{"id":13019,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1204/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a272","contributors":{"authors":[{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":303339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":303337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Noah S. 0000-0002-8354-0293 nadams@usgs.gov","orcid":"https://orcid.org/0000-0002-8354-0293","contributorId":3521,"corporation":false,"usgs":true,"family":"Adams","given":"Noah","email":"nadams@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":303338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":97845,"text":"sir20095156 - 2009 - Magnitude and Frequency of Rural Floods in the Southeastern United States, 2006: Volume 3, South Carolina","interactions":[],"lastModifiedDate":"2023-05-04T10:59:50.486185","indexId":"sir20095156","displayToPublicDate":"2009-09-24T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2009-5156","title":"Magnitude and Frequency of Rural Floods in the Southeastern United States, 2006: Volume 3, South Carolina","docAbstract":"A multistate approach was used to update methods for estimating the magnitude and frequency of floods in rural, ungaged basins in South Carolina, Georgia, and North Carolina that are not substantially affected by regulation, tidal fluctuations, or urban development. Annual peak-flow data through September 2006 were analyzed for 943 streamgaging stations having 10 or more years of data on rural streams in South Carolina, Georgia, North Carolina, and adjacent parts of Alabama, Florida, Tennessee, and Virginia. Flood-frequency estimates were computed for the 943 stations by fitting the logarithms of annual peak flows for each station to a Pearson Type III distribution. As part of the computation of flood-frequency estimates for the stations, a new value for the generalized skew coefficient was developed using a Bayesian generalized least-squares regression model. Additionally, basin characteristics for these stations were computed by using a geographical information system and automated computer algorithms.\r\n\r\nExploratory regression analyses using ordinary least-squares regression completed on the initial database of 943 gaged stations resulted in defining five hydrologic regions for South Carolina, Georgia, and North Carolina. Stations with drainage areas less than 1 square mile were removed from the database, and a procedure to examine for basin redundancy (based on drainage area and periods of record) also resulted in the removal of some stations from the regression database.\r\n\r\nRegional regression analysis, using generalized least-squares regression, was used to develop a set of predictive equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows for rural ungaged basins in Georgia, South Carolina, and North Carolina. Flood-frequency estimates and basin characteristics for 828 streamgaging stations were combined to form the final database used in the regional regression analysis. The final predictive equations are all functions of drainage area and percentage of the drainage basin within each hydrologic region. Average errors of prediction for these regression equations range from 34.0 to 47.7 percent.\r\n\r\nPeak-flow records at 25 regulated stations were assessed to determine if a flood-frequency analysis was appropriate. Based on those assessments, flood-frequency estimates are provided for three regulated stations. Annual peak-flow data are provided for the regulated stations in an appendix.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095156","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J., 2009, Magnitude and Frequency of Rural Floods in the Southeastern United States, 2006: Volume 3, South Carolina: U.S. Geological Survey Scientific Investigations Report 2009-5156, Report: viii, 227 p.; 2 Oversized Figures; Downloadable Files, https://doi.org/10.3133/sir20095156.","productDescription":"Report: viii, 227 p.; 2 Oversized Figures; Downloadable Files","additionalOnlineFiles":"Y","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":126595,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5156.jpg"},{"id":416653,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20235006","text":"Scientific Investigations Report 2023–5006","linkHelpText":"- The methods and statistics from SIR 2009–5156 have been updated in SIR 2023–5006."},{"id":13018,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5156/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.5,30 ], [ -85.5,38.5 ], [ -74.5,38.5 ], [ -74.5,30 ], [ -85.5,30 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494d3","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":303334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":303335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. 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