{"pageNumber":"823","pageRowStart":"20550","pageSize":"25","recordCount":46883,"records":[{"id":82154,"text":"ds353 - 2008 - Mid-Pliocene Planktic Foraminifer Census Data and Alkenone Unsaturation Indices from Ocean Drilling Program Hole 677A","interactions":[],"lastModifiedDate":"2012-02-10T00:11:51","indexId":"ds353","displayToPublicDate":"2008-06-18T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"353","title":"Mid-Pliocene Planktic Foraminifer Census Data and Alkenone Unsaturation Indices from Ocean Drilling Program Hole 677A","docAbstract":"The U.S. Geological Survey is conducting a long-term study of mid-Pliocene climatic and oceanographic conditions. One of the key elements of the study involves the use of quantitative composition of planktic foraminifer assemblages in conjunction with other proxies to constrain estimates of sea-surface temperature (SST) and to identify major oceanographic boundaries and water masses.\r\n\r\nRaw census data are made available as soon as possible after analysis through a series of reports that provide the basic data for future work.  In this report we present raw census data (table 1) for planktic foraminifer assemblages in 14 samples from Ocean Drilling Program (ODP) Hole 677A.  We also present alkenone unsaturation index (UK'37) analyses for 89 samples from ODP Hole 677A (table 2).  ODP Hole 677A is located in the Panama basin, due west of Ecuador at 1?12.138'N., 83?44.220'W., in 3461.2 meters of water (fig. 1).\r\n\r\nA variety of statistical methods have been developed to transform foraminiferal census data in Pliocene sequences into quantitative estimates of Pliocene SST.  Details of statistical techniques, taxonomic groupings, and oceanographic interpretations are presented in more formal publications (Dowsett and Poore, 1990, 1991; Dowsett, 1991, 2007a,b; Dowsett and Robinson, 1998, 2007; Dowsett and others, 1996, 1999).","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds353","usgsCitation":"Robinson, M., Caballero, R., Pohlman, E., Herbert, T., Peck, V., and Dowsett, H., 2008, Mid-Pliocene Planktic Foraminifer Census Data and Alkenone Unsaturation Indices from Ocean Drilling Program Hole 677A: U.S. Geological Survey Data Series 353, Available online only, https://doi.org/10.3133/ds353.","productDescription":"Available online only","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194241,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11441,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/353/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,-10 ], [ -90,10 ], [ -70,10 ], [ -70,-10 ], [ -90,-10 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a58e4b07f02db62eb4b","contributors":{"authors":[{"text":"Robinson, Marci","contributorId":100087,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","affiliations":[],"preferred":false,"id":295892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caballero, Rocio","contributorId":8940,"corporation":false,"usgs":true,"family":"Caballero","given":"Rocio","email":"","affiliations":[],"preferred":false,"id":295888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, Emily","contributorId":61524,"corporation":false,"usgs":true,"family":"Pohlman","given":"Emily","email":"","affiliations":[],"preferred":false,"id":295890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbert, Timothy","contributorId":33418,"corporation":false,"usgs":true,"family":"Herbert","given":"Timothy","affiliations":[],"preferred":false,"id":295889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peck, Victoria","contributorId":96372,"corporation":false,"usgs":true,"family":"Peck","given":"Victoria","email":"","affiliations":[],"preferred":false,"id":295891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry","contributorId":6138,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","affiliations":[],"preferred":false,"id":295887,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":82151,"text":"sir20085093 - 2008 - Simulation of Flow, Sediment Transport, and Sediment Mobility of the Lower Coeur d'Alene River, Idaho","interactions":[],"lastModifiedDate":"2012-03-08T17:16:22","indexId":"sir20085093","displayToPublicDate":"2008-06-17T00:00:00","publicationYear":"2008","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":"2008-5093","title":"Simulation of Flow, Sediment Transport, and Sediment Mobility of the Lower Coeur d'Alene River, Idaho","docAbstract":"A one-dimensional sediment-transport model and a multi-dimensional hydraulic and bed shear stress model were developed to investigate the hydraulic, sediment transport, and sediment mobility characteristics of the lower Coeur d?Alene River in northern Idaho. This report documents the development and calibration of those models, as well as the results of model simulations. \r\n\r\nThe one-dimensional sediment-transport model (HEC-6) was developed, calibrated, and used to simulate flow hydraulics and erosion, deposition, and transport of sediment in the lower Coeur d?Alene River. The HEC-6 modeled reach, comprised of 234 cross sections, extends from Enaville, Idaho, on the North Fork of the Coeur d?Alene River and near Pinehurst, Idaho, on the South Fork of the river to near Harrison, Idaho, on the main stem of the river. Bed-sediment samples collected by previous investigators and samples collected for this study in 2005 were used in the model. Sediment discharge curves from a previous study were updated using suspended-sediment samples collected at three sites since April 2000. The HEC-6 was calibrated using river discharge and water-surface elevations measured at five U.S. Geological Survey gaging stations. The calibrated HEC-6 model allowed simulation of management alternatives to assess erosion and deposition from proposed dredging of contaminated streambed sediments in the Dudley reach. Four management alternatives were simulated with HEC-6. Before the start of simulation for these alternatives, seven cross sections in the reach near Dudley, Idaho, were deepened 20 feet?removing about 296,000 cubic yards of sediments?to simulate dredging. \r\n\r\nManagement alternative 1 simulated stage-discharge conditions from 2000, and alternative 2 simulated conditions from 1997. Results from alternatives 1 and 2 indicated that about 6,500 and 12,300 cubic yards, respectively, were deposited in the dredged reach. These figures represent 2 and 4 percent, respectively, of the total volume of dredged sediments removed before the start of simulation. \r\n\r\nIn alternatives 3 and 4, the incoming total sediment discharges from the South Fork of the river were decreased by one-half. Management alternative 3 simulated stage-discharge conditions from 2000, and alternative 4 simulated conditions from 1997. Reducing incoming sediment discharge from the South Fork did not affect the streambed and deposition in the Dudley and downstream reaches, probably because the distance between the South Fork and the Dudley reach is long enough for sediment supply, transport capacity, and channel geometry to be balanced before reaching the Dudley and downstream reaches.\r\n\r\nDevelopment and calibration of a multi-dimensional hydraulic and bed shear stress model (FASTMECH) allowed simulation of water-surface elevation, depth, velocity, bed shear stress, and sediment mobility in the Dudley reach (5.3 miles). The computational grid incorporated bathymetric and Light Detection and Ranging (LIDAR) data, with a node spacing of about 2.5 meters.\r\n\r\nWith the exception of the fourth FASTMECH calibration simulation, results from the FASTMECH calibration simulations indicated that flow depths, flow velocities, and bed shear stresses increased as river discharge increased. Water-surface elevations in the fourth calibration simulation were about 2 feet higher than those in the other simulations because high lake levels in Coeur d?Alene Lake caused backwater conditions. Average simulated velocities along the thalweg ranged from about 3 to 5.3 feet per second, and maximum simulated velocities ranged from 3.9 to 7 feet per second. In the dredged reach, average simulated velocity along the thalweg ranged from 3.5 to 6 feet per second. The model also simulated several back-eddies (flow reversal); the largest eddy encompassed about one-third of the river width. Average bed shear stresses increased more than 200 percent from the first to the last simulation. Simulated sediment mobility, asses","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085093","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality, Basin Environmental Improvement Commission, and the U.S. Environmental Protection Agency","usgsCitation":"Berenbrock, C., and Tranmer, A.W., 2008, Simulation of Flow, Sediment Transport, and Sediment Mobility of the Lower Coeur d'Alene River, Idaho: U.S. Geological Survey Scientific Investigations Report 2008-5093, viii, 165 p., https://doi.org/10.3133/sir20085093.","productDescription":"viii, 165 p.","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":194535,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11438,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5093/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.5,47 ], [ -118.5,48 ], [ -115.5,48 ], [ -115.5,47 ], [ -118.5,47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47afe4b07f02db49c355","contributors":{"authors":[{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":295878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tranmer, Andrew W.","contributorId":44243,"corporation":false,"usgs":true,"family":"Tranmer","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":295879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":82149,"text":"sir20085063 - 2008 - Net Acid Production, Acid Neutralizing Capacity, and Associated Mineralogical and Geochemical Characteristics of Animas River Watershed Igneous Rocks Near Silverton, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"sir20085063","displayToPublicDate":"2008-06-15T00:00:00","publicationYear":"2008","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":"2008-5063","title":"Net Acid Production, Acid Neutralizing Capacity, and Associated Mineralogical and Geochemical Characteristics of Animas River Watershed Igneous Rocks Near Silverton, Colorado","docAbstract":"This report presents results from laboratory and field studies involving the net acid production (NAP), acid neutralizing capacity (ANC), and magnetic mineralogy of 27 samples collected in altered volcanic terrain in the upper Animas River watershed near Silverton, Colo., during the summer of 2005. Sampling focused mainly on the volumetrically important, Tertiary-age volcanic and plutonic rocks that host base- and precious-metal mineralization in the study area. These rocks were analyzed to determine their potential for neutralization of acid-rock drainage.\r\n\r\nRocks in the study area have been subjected to a regional propylitic alteration event, which introduced calcite, chlorite (clinochlore), and epidote that have varying amounts and rates of acid neutralizing capacity (ANC). Locally, hydrothermal alteration has consumed any ANC and introduced minerals, mainly pyrite, that have a high net acid production (NAP). Laboratory studies included hydrogen pyroxide (H2O2) acid digestion and subsequent sodium hydroxide (NaOH) titration to determine NAP, and sulfuric acid (H2SO4) acid titration experiments to determine ANC. In addition to these environmental rock-property determinations, mineralogical, chemical, and petrographic characteristics of each sample were determined through semiquantitative X-ray diffractometry (Rietveld method), optical mineralogy, wavelength dispersive X-ray fluorescence, total carbon-carbonate, and inductively coupled plasma?mass spectrometric analysis.\r\n\r\nAn ANC ranking was assigned to rock samples based on calculated ANC quantity in kilograms/ton (kg/t) calcium carbonate equivalent and ratios of ANC to NAP. Results show that talus near the southeast Silverton caldera margin, composed of andesite clasts of the Burns Member of the Silverton Volcanics, has the highest ANC (>100 kg/t calcium carbonate equivalent) with little to no NAP. The other units found to have moderate to high ANC include (a) andesite lavas and volcaniclastic rocks of the San Juan Formation, west and northwest of the Silverton caldera, and (b) the Picayune Megabreccia Member of Sapinero Mesa Tuff along the western San Juan caldera margin. Sultan Mountain stock, composed of granitoid intrusive rocks, was shown to have low ANC and moderate NAP.\r\n\r\nSequential leachate analyses on a suite of whole-rock samples from the current and a previous study indicate that host rock composition and mineralogy control leachate compositions. The most mafic volcanic samples had high leachate concentrations for Mg, Fe, and Ca, whereas silicic volcanic samples had lower ferromagnesiun compositions. Samples with high chlorite abundance also had high leachable Mg concentrations. Trace-element substitution, such as Sr for Ca in plagioclase, controls high Sr concentrations in those samples with high plagioclase abundance. High Ti abundance in leachate was observed in those samples with high magnetite concentrations. This is likely due to samples containing intergrown magnetite-ilmenite. Whole rocks having high trace-element concentrations have relatively high leachate trace-element abundances. Some lavas of the San Juan Formation and Burns Member of the Silverton Volcanics had elevated Zn-, Cd-, and Pb-leachate concentrations. Manganese was also elevated in one San Juan Formation sample. Other San Juan Formation and Burns Member lavas had low to moderate trace-element abundances. One sample of the pyroxene andesite member of the Silverton Volcanics had elevated concentrations for As and Mo. Most other pyroxene andesite member samples had low leachate trace-element abundances.\r\n\r\nMine-waste-leachate analyses indicated that one mine-waste sample had elevated concentrations of Cu (1.5 orders of magnitude), Zn (1 order of magnitude), As (1 order of magnitude), Mo (1.5 to 2 orders of magnitude), Cd (1 to 2 orders of magnitude), and Pb (2 to 3 orders of magnitude) compared to whole rocks. These data indicate the importance of whole-rock geochemistry or leachate analys","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085063","isbn":"9781411321649","collaboration":"Prepared in cooperation with the U.S. Bureau of Land Management","usgsCitation":"Yager, D.B., Choate, L., and Stanton, M.R., 2008, Net Acid Production, Acid Neutralizing Capacity, and Associated Mineralogical and Geochemical Characteristics of Animas River Watershed Igneous Rocks Near Silverton, Colorado (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2008-5063, Report: vi, 63 p.; Plate: 34 x 28 inches; Downloads Directory, https://doi.org/10.3133/sir20085063.","productDescription":"Report: vi, 63 p.; Plate: 34 x 28 inches; Downloads Directory","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11433,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5063/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.86749999999999,37.75 ], [ -107.86749999999999,38 ], [ -107.5,38 ], [ -107.5,37.75 ], [ -107.86749999999999,37.75 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4affe4b07f02db697b67","contributors":{"authors":[{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, LaDonna","contributorId":32887,"corporation":false,"usgs":true,"family":"Choate","given":"LaDonna","affiliations":[],"preferred":false,"id":295874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Mark R. mstanton@usgs.gov","contributorId":1834,"corporation":false,"usgs":true,"family":"Stanton","given":"Mark","email":"mstanton@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":295873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":82150,"text":"ofr20081193 - 2008 - Engineering and Economics of the USGS Circum-Arctic Oil and Gas Resource Appraisal (CARA) Project","interactions":[],"lastModifiedDate":"2012-02-02T00:14:30","indexId":"ofr20081193","displayToPublicDate":"2008-06-15T00:00:00","publicationYear":"2008","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":"2008-1193","title":"Engineering and Economics of the USGS Circum-Arctic Oil and Gas Resource Appraisal (CARA) Project","docAbstract":"This Open-File report contains illustrative materials, in the form of PowerPoint slides, used for an oral presentation given at the Fourth U.S. Geological Survey Workshop on Reserve Growth of petroleum resources held on March 10-11, 2008. The presentation focused on engineering and economic aspects of the Circum-Arctic Oil and Gas Resource Appraisal (CARA) project, with a special emphasis on the costs related to the development of hypothetical oil and gas fields of different sizes and reservoir characteristics in the North Danmarkshavn Basin off the northeast coast of Greenland.\r\n\r\nThe individual PowerPoint slides highlight the topics being addressed in an abbreviated format; they are discussed below, and are amplified with additional text as appropriate. Also included in this report are the summary results of a typical ?run? to generate the necessary capital and operating costs for the development of an offshore oil field off the northeast coast of Greenland; the data are displayed in MS Excel format generated using Questor software (IHS Energy, Inc.).\r\n\r\nU.S. Geological Survey (USGS) acknowledges that this report includes data supplied by IHS Energy, Inc.; Copyright (2008) all rights reserved. IHS Energy has granted USGS the permission to publish this report.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081193","usgsCitation":"Verma, M., White, L.P., and Gautier, D.L., 2008, Engineering and Economics of the USGS Circum-Arctic Oil and Gas Resource Appraisal (CARA) Project (Version 1.0): U.S. Geological Survey Open-File Report 2008-1193, Report: 17 p.; Downloads Directory, https://doi.org/10.3133/ofr20081193.","productDescription":"Report: 17 p.; Downloads Directory","additionalOnlineFiles":"Y","temporalStart":"2008-03-10","temporalEnd":"2008-03-11","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195235,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11434,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1193/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667983","contributors":{"authors":[{"text":"Verma, Mahendra K. mverma@usgs.gov","contributorId":1027,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra K.","email":"mverma@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Loring P.","contributorId":65729,"corporation":false,"usgs":true,"family":"White","given":"Loring","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":295877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":295876,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":82145,"text":"ofr20081194 - 2008 - Reserve Growth of Alberta Oil Pools","interactions":[],"lastModifiedDate":"2012-02-02T00:14:29","indexId":"ofr20081194","displayToPublicDate":"2008-06-14T00:00:00","publicationYear":"2008","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":"2008-1194","title":"Reserve Growth of Alberta Oil Pools","docAbstract":"This Open-File Report is based on a presentation delivered at the Fourth U.S. Geological Survey Workshop on Reserve Growth on March 10-11, 2008. It summarizes the results of a study of reserve growth of oil pools in Alberta Province, Canada. The study is part of a larger effort involving similar studies of fields in other important petroleum provinces around the world, with the overall objective of gaining a better understanding of reserve growth in fields with different geologic/reservoir parameters and different operating environments.\r\n\r\nThe goals of the study were to:\r\n1. Evaluate historical oil reserve data and assess reserve growth.\r\n2. Develop reserve growth models/functions to help forecast hydrocarbon volumes.\r\n3. Study reserve growth sensitivity to various parameters ? for example, pool size, porosity, oil gravity, and lithology.\r\n4. Compare reserve growth in oil pools/fields of Alberta provinces with those from other large petroleum provinces.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081194","usgsCitation":"Verma, M., and Cook, T., 2008, Reserve Growth of Alberta Oil Pools (Version 1.0): U.S. Geological Survey Open-File Report 2008-1194, 10 p., https://doi.org/10.3133/ofr20081194.","productDescription":"10 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":11427,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1194/","linkFileType":{"id":5,"text":"html"}},{"id":195025,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685b9d","contributors":{"authors":[{"text":"Verma, Mahendra K. mverma@usgs.gov","contributorId":1027,"corporation":false,"usgs":true,"family":"Verma","given":"Mahendra K.","email":"mverma@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy","contributorId":6418,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","affiliations":[],"preferred":false,"id":295864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":82146,"text":"ofr20081197 - 2008 - Structure of the San Bernardino Basin along two seismic transects: Rialto-Colton Fault to the San Andreas Fault and along the I-215 Freeway (I-10 to SR30)","interactions":[],"lastModifiedDate":"2022-07-08T18:18:23.763936","indexId":"ofr20081197","displayToPublicDate":"2008-06-14T00:00:00","publicationYear":"2008","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":"2008-1197","title":"Structure of the San Bernardino Basin along two seismic transects: Rialto-Colton Fault to the San Andreas Fault and along the I-215 Freeway (I-10 to SR30)","docAbstract":"In this report, we present seismic data and acquisition parameters for two seismic profiles acquired in the San Bernardino, California area in May and October 2003. We refer to these seismic profiles as the San Bernardino Regional (SBR) and San Bernardino High-Resolution (SBHR) seismic profiles. We present both un-interpreted and interpreted seismic images so that the structure of the area can independently interpreted by others. We explain the rationale for our interpretations within the text of this report, and in addition, we provide a large body of supporting evidence. \r\n\r\nThe SBR seismic profile extended across the San Bernardino Basin approximately N30?E from the town of Colton to the town of Highland. The data were acquired at night when the signal-to-noise ratios were reasonably good, and for the larger shots, seismic energy propagated across the ~20-km-long array. Tomographic velocity data are available to depths of about 4 km, and low-fold reflection data are available to depths in excess of 5 km. The SBR seismic data reveal an asymmetric, fault-bound basin to about 5 km depth. \r\n\r\nThe SBHR seismic profile trended along the I-215 freeway from its intersection with the Santa Ana River to approximately State Road 30 in San Bernardino. Seismic data acquired along the I-215 freeway provide detailed images, with CDP spacing of approximately 2.5 m along an approximately 8.2-km-long profile; shot and geophone spacing was 5 m. For logistical reasons, the high-resolution (SBHR) seismic data were acquired during daylight hours on the shoulder of the I-215 freeway and within 5 to 10 m of high-traffic volumes, resulting in low signal-to-noise ratios. The limited offset at which refracted first-arrivals could be measured along the SBHR seismic profile limited our measurements of tomographic refraction velocities to relatively shallow (< 150 m) depths. The SBHR reflection data reveal a basin with complex structural details within the upper kilometer. \r\n\r\nThe two seismic profiles show internal consistency and consistency with other existing geophysical data. Collectively, the data suggest that the I-215 freeway trends along the faulted edge of a pull-apart basin, within a zone where the principal slip of the San Jacinto Fault is transferred to the San Andreas Fault. Because the I-215 freeway trends at low angles to these flower-structure faults, both primary and numerous secondary faults are apparent between the I-10 exchange and State Road-30, suggesting that much of the 8-km-long segment of the I-215 freeway could experience movement along primary or secondary faults.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081197","usgsCitation":"Catchings, R.D., Rymer, M.J., Goldman, M.R., Gandhok, G., and Steedman, C., 2008, Structure of the San Bernardino Basin along two seismic transects: Rialto-Colton Fault to the San Andreas Fault and along the I-215 Freeway (I-10 to SR30) (Version 1.0): U.S. Geological Survey Open-File Report 2008-1197, ii, 127 p., https://doi.org/10.3133/ofr20081197.","productDescription":"ii, 127 p.","onlineOnly":"Y","temporalStart":"2003-05-01","temporalEnd":"2003-10-31","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":195156,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":403282,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83744.htm","linkFileType":{"id":5,"text":"html"}},{"id":11428,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1197/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"San Bernardino Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.3367,\n              34.0417\n            ],\n            [\n              -117.1389,\n              34.0417\n            ],\n            [\n              -117.1389,\n              34.125\n            ],\n            [\n              -117.3367,\n              34.125\n            ],\n            [\n              -117.3367,\n              34.0417\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699e05","contributors":{"authors":[{"text":"Catchings, R. D.","contributorId":98738,"corporation":false,"usgs":true,"family":"Catchings","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":295867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rymer, M. J.","contributorId":90694,"corporation":false,"usgs":true,"family":"Rymer","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":295866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldman, M. R.","contributorId":106934,"corporation":false,"usgs":true,"family":"Goldman","given":"M.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":295869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gandhok, G.","contributorId":47423,"corporation":false,"usgs":true,"family":"Gandhok","given":"G.","affiliations":[],"preferred":false,"id":295865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steedman, C. E.","contributorId":105810,"corporation":false,"usgs":true,"family":"Steedman","given":"C. E.","affiliations":[],"preferred":false,"id":295868,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":82143,"text":"ofr20081182 - 2008 - Water-Quality and Lake-Stage Data for Wisconsin Lakes, Water Year 2007","interactions":[],"lastModifiedDate":"2018-02-06T12:18:56","indexId":"ofr20081182","displayToPublicDate":"2008-06-13T00:00:00","publicationYear":"2008","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":"2008-1182","title":"Water-Quality and Lake-Stage Data for Wisconsin Lakes, Water Year 2007","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2007 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2005 through September 30, 2007 is called 'water year 2007.' \r\n\r\nThe purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll a concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake?s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published in another volume: 'Water Resources Data-Wisconsin, 2007.'","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081182","collaboration":"Prepared in cooperation with State of Wisconsin and other agencies","usgsCitation":"Wisconsin Water Science Center Lake-Studies Team: Rose, W.J., Garn, H., Goddard, G.L., Marsh, S., Olson, D., and Robertson, D.M., 2008, Water-Quality and Lake-Stage Data for Wisconsin Lakes, Water Year 2007: U.S. Geological Survey Open-File Report 2008-1182, vii, 204 p., https://doi.org/10.3133/ofr20081182.","productDescription":"vii, 204 p.","temporalStart":"2006-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":195251,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11425,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1182/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.83333333333333,42.5 ], [ -92.83333333333333,47 ], [ -86.83333333333333,47 ], [ -86.83333333333333,42.5 ], [ -92.83333333333333,42.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687cde","contributors":{"authors":[{"text":"Wisconsin Water Science Center Lake-Studies Team: Rose, W. J.","contributorId":6550,"corporation":false,"usgs":true,"family":"Wisconsin Water Science Center Lake-Studies Team: Rose","given":"W.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":295854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garn, H.S.","contributorId":42601,"corporation":false,"usgs":true,"family":"Garn","given":"H.S.","affiliations":[],"preferred":false,"id":295858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goddard, G. L.","contributorId":10442,"corporation":false,"usgs":true,"family":"Goddard","given":"G.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsh, S.B.","contributorId":105329,"corporation":false,"usgs":true,"family":"Marsh","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":295859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, D.L.","contributorId":34943,"corporation":false,"usgs":true,"family":"Olson","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":295856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":82138,"text":"sir20085080 - 2008 - Estimated Loads of Suspended Sediment and Selected Trace Elements Transported through Milltown Reservoir in the Upper Clark Fork Basin, Montana, Water Years 2004-07","interactions":[],"lastModifiedDate":"2012-03-08T17:16:28","indexId":"sir20085080","displayToPublicDate":"2008-06-12T00:00:00","publicationYear":"2008","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":"2008-5080","title":"Estimated Loads of Suspended Sediment and Selected Trace Elements Transported through Milltown Reservoir in the Upper Clark Fork Basin, Montana, Water Years 2004-07","docAbstract":"The purpose of this report is to present estimated daily and annual loads of suspended sediment and selected trace elements for water years 2004-07 at two sites upstream and one site downstream from Milltown Reservoir. Milltown Reservoir is a National Priorities List Superfund site in the upper Clark Fork basin of western Montana where sediments enriched in trace elements from historical mining and ore processing have been deposited since the construction of Milltown Dam in 1907. The estimated loads were used to quantify annual net gains and losses (mass balance) of suspended sediment and trace elements within Milltown Reservoir before and after June 1, 2006, which was the start of Stage 1 of a permanent drawdown of the reservoir in preparation for removal of Milltown Dam. This study was done in cooperation with the U.S. Environmental Protection Agency.\r\n\r\nDaily loads of suspended sediment were estimated for water years 2004-07 by using either high-frequency sampling as part of daily sediment monitoring or regression equations relating suspended-sediment discharge to streamflow. Daily loads of unfiltered-recoverable arsenic, cadmium, copper, iron, lead, manganese, and zinc were estimated by using regression equations relating trace-element discharge to suspended-sediment discharge. Regression equations were developed from data for eriodic water-quality samples collected during water years 2004-07. The equations were applied to daily records of either streamflow or suspended-sediment discharge to produce estimated daily loads.\r\n\r\nVariations in daily suspended-sediment and trace-element loads generally coincided with variations in streamflow. For most of the period before June 1, 2006, differences in daily loads transported to and from Milltown Reservoir were minor or indicated small amounts of deposition; however, losses of suspended sediment and trace elements from the reservoir occurred during temporary drawdowns in July-August 2004 and October-December 2005. After the start of Stage 1 of the permanent drawdown on June 1, 2006, losses of suspended sediment and trace elements from the reservoir persisted for all streamflow conditions during the entire interval of the Stage 1 drawdown (June 1, 2006-September 30, 2007) within the study period.\r\n\r\nEstimated daily loads of suspended sediment and trace elements were summed for each year to produce estimated annual loads used to determine the annual net gains (deposition) or losses (erosion) of each constituent within Milltown Reservoir during water years 2004-07. During water year 2004, there was an annual net gain of suspended sediment in the reservoir. The annual net gains and losses of trace elements were inconsistent in water year 2004, with gains occurring for arsenic ad iron, but losses occurring for cadmium, copper, lead, manganese, and zinc. In water year 2005, there were annual net gains of suspended sediment and all the trace elements within the reservoir. In water year 2006, there were annual net losses of all constituents from the reservoir, likely as the result of sediment erosion from the reservoir during both a temporary drawdown in October-December 2005 and Stage 1 of the permanent drawdown that continued after June 1, 2006. In water year 2007, when the Stage 1 drawdown was in effect for the entire year, there were large annual net losses of suspended sediment and trace elements from the reservoir. The annual net losses of constituents from Milltown Reservoir in water year 2007 were the largest of any year during the 2004-07 study period. In water year 2007, the annual net loss of suspended sediment from the reservoir was 130,000 tons, which was more than double (about 222 percent) the combined inflow to the reservoir. The largest annual net losses of trace elements in water year 2007, in percent of the combined inflow to the reservoir, occurred for cadmium, copper, lead, and zinc-about 190 percent for cadmium, 170 percent for copper, 150 percent for lead, and 238 p","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20085080","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Lambing, J.H., and Sando, S.K., 2008, Estimated Loads of Suspended Sediment and Selected Trace Elements Transported through Milltown Reservoir in the Upper Clark Fork Basin, Montana, Water Years 2004-07: U.S. Geological Survey Scientific Investigations Report 2008-5080, vi, 25 p., https://doi.org/10.3133/sir20085080.","productDescription":"vi, 25 p.","temporalStart":"2003-10-01","temporalEnd":"2007-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":194239,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11418,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5080/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,45.75 ], [ -114.5,47 ], [ -112,47 ], [ -112,45.75 ], [ -114.5,45.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fde25","contributors":{"authors":[{"text":"Lambing, John H.","contributorId":64272,"corporation":false,"usgs":true,"family":"Lambing","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":295847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sando, Steven K. 0000-0003-1206-1030 sksando@usgs.gov","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":1016,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"sksando@usgs.gov","middleInitial":"K.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":82136,"text":"ofr20081142 - 2008 - Uranium-Lead Zircon Ages and Sr, Nd, and Pb Isotope Geochemistry of Selected Plutonic Rocks from Western Idaho","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ofr20081142","displayToPublicDate":"2008-06-12T00:00:00","publicationYear":"2008","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":"2008-1142","title":"Uranium-Lead Zircon Ages and Sr, Nd, and Pb Isotope Geochemistry of Selected Plutonic Rocks from Western Idaho","docAbstract":"Across the Salmon River suture in western Idaho, where allochthonous Permian to Cretaceous oceanic rocks are juxtaposed against Proterozoic North American rocks, a wide variety of plutonic rocks are exposed. Available data indicate much variation in composition, source, and structural state of these plutons. The plutonic rocks were long described as the western border zone of the Cretaceous Idaho batholith but limited pre-existing age data indicate more complicated origins. Because the affinity and age of the plutonic rocks cannot be reliably determined from field relations, TIMS U-Pb dating in conjunction with Sr, Nd, and Pb isotopic studies of selected plutons across the suture in western Idaho were undertaken. The data indicate three general groups of plutons including (1) those that intruded the island arc terranes during the Triassic and Jurassic, those that intruded near the western edge of oceanic rocks along the suture in the Early Cretaceous, and the plutons of the Idaho batholith that intruded Proterozoic North American rocks in the Late Cretaceous. Plutons that intruded Proterozoic North American rocks commonly include xenocrystic zircons and in several cases, ages could not be determined. The least radiogenic Sr and most radiogenic Nd are found among the Blue Mountains superterrane island arc samples. Suture-zone plutons have isotopic characteristics that span the range between Idaho batholith and island arc samples but mostly follow island arc signatures. Plutons of the Idaho batholith have the most radiogenic initial Pb and Sr ratios and the least radiogenic Nd of the samples analyzed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081142","usgsCitation":"Unruh, D., Lund, K., Kuntz, M., and Snee, L., 2008, Uranium-Lead Zircon Ages and Sr, Nd, and Pb Isotope Geochemistry of Selected Plutonic Rocks from Western Idaho (Version 1.0): U.S. Geological Survey Open-File Report 2008-1142, ii, 36 p., https://doi.org/10.3133/ofr20081142.","productDescription":"ii, 36 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":194982,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11416,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1142/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117,44.5 ], [ -117,47 ], [ -114,47 ], [ -114,44.5 ], [ -117,44.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db605422","contributors":{"authors":[{"text":"Unruh, Daniel M.","contributorId":96291,"corporation":false,"usgs":true,"family":"Unruh","given":"Daniel M.","affiliations":[],"preferred":false,"id":295844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuntz, Mel A. 0000-0001-8828-5474","orcid":"https://orcid.org/0000-0001-8828-5474","contributorId":6446,"corporation":false,"usgs":true,"family":"Kuntz","given":"Mel A.","affiliations":[],"preferred":false,"id":295842,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snee, Lawrence W.","contributorId":81534,"corporation":false,"usgs":true,"family":"Snee","given":"Lawrence W.","affiliations":[],"preferred":false,"id":295843,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210602,"text":"70210602 - 2008 - Theoretical study on the reactivity of sulfate species with hydrocarbons","interactions":[],"lastModifiedDate":"2020-06-12T18:01:10.33029","indexId":"70210602","displayToPublicDate":"2008-06-11T11:42:46","publicationYear":"2008","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Theoretical study on the reactivity of sulfate species with hydrocarbons","docAbstract":"<p>The abiotic, thermochemically controlled reduction of sulfate to hydrogen sulfide coupled with the oxidation of hydrocarbons, is termed thermochemical sulfate reduction (TSR), and is an important alteration process that affects petroleum accumulations in nature. Although TSR is commonly observed in high-temperature carbonate reservoirs, it has proven difficult to simulate in the laboratory under conditions resembling nature. The present study was designed to evaluate the relative reactivities of various sulfate species in order to provide greater insight into the mechanism of TSR and potentially to fill the gap between laboratory experimental data and geological observations. Accordingly, quantum mechanics density functional theory (DFT) was used to determine the activation energy required to reach a potential transition state for various aqueous systems involving simple hydrocarbons and different sulfate species. The entire reaction process that results in the reduction of sulfate to sulfide is far too complex to be modeled entirely; therefore, we examined what is believed to be the rate limiting step, namely, the reduction of sulfate S(VI) to sulfite S(IV). The results of the study show that water-solvated sulfate anions<span> </span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span><sup><span>&nbsp;</span></sup>are very stable due to their symmetrical molecular structure and spherical electronic distributions. Consequently, in the absence of catalysis, the reactivity of<span> </span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span><span>&nbsp;</span>is expected to be extremely low. However, both the protonation of sulfate to form bisulfate anions (<span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">HSO<sub>4</sub><sup>-</sup></span></span></span>) and the formation of metal-sulfate contact ion-pairs could effectively destabilize the sulfate molecular structure, thereby making it more reactive.</p><p>Previous reports of experimental simulations of TSR generally have involved the use of acidic solutions that contain elevated concentrations of&nbsp;<span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\">\"<span class=\"MJX_Assistive_MathML\">HSO<sub>4</sub><sup>-</sup></span></span></span><span>&nbsp;</span>relative to<span> </span><span class=\"math\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span>. However, in formation waters typically encountered in petroleum reservoirs, the concentration of&nbsp;<span class=\"math\"><span id=\"MathJax-Element-6-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">HSO<sub>4</sub><sup>-</sup></span></span></span><sup><span>&nbsp;</span></sup>is likely to be significantly lower than the levels used in the laboratory, with most of the dissolved sulfate occurring as<span> </span><span class=\"math\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span>, aqueous calcium sulfate ([CaSO<sub>4</sub>]<sub>(aq)</sub>), and aqueous magnesium sulfate ([MgSO<sub>4</sub>]<sub>(aq)</sub>). Our calculations indicate that TSR reactions that occur in natural environments are most likely to involve bisulfate ions (<span class=\"math\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">HSO<sub>4</sub><sup>-</sup></span></span></span>) and/or magnesium sulfate contact ion-pairs ([MgSO<sub>4</sub>]<sub>CIP</sub>) rather than ‘free’ sulfate ions (<span class=\"math\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=\"><span class=\"MJX_Assistive_MathML\">SO<sub>4</sub><sup>2-</sup></span></span></span>) or solvated sulfate ion-pairs, and that water chemistry likely plays a significant role in controlling the rate of TSR.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2008.05.061","usgsCitation":"Ma, Q., Ellis, G.S., Amrani, A., Zhang, T., and Tang, Y., 2008, Theoretical study on the reactivity of sulfate species with hydrocarbons: Geochimica et Cosmochimica Acta, v. 72, no. 18, p. 4565-4576, https://doi.org/10.1016/j.gca.2008.05.061.","productDescription":"12 p.","startPage":"4565","endPage":"4576","ipdsId":"IP-002841","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":375525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"18","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ma, Qisheng","contributorId":225212,"corporation":false,"usgs":false,"family":"Ma","given":"Qisheng","affiliations":[{"id":41076,"text":"Power, Environmental, and Energy","active":true,"usgs":false}],"preferred":false,"id":790772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":225211,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":790771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amrani, Alon","contributorId":225213,"corporation":false,"usgs":false,"family":"Amrani","given":"Alon","affiliations":[{"id":41077,"text":"Research Center","active":true,"usgs":false}],"preferred":false,"id":790773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Tongwei","contributorId":225214,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[{"id":41078,"text":"Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":790774,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tang, Yongchun","contributorId":225215,"corporation":false,"usgs":false,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":790775,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":82132,"text":"ofr20081158 - 2008 - ShakeCast Manual","interactions":[],"lastModifiedDate":"2012-02-02T00:14:32","indexId":"ofr20081158","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","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":"2008-1158","title":"ShakeCast Manual","docAbstract":"ShakeCast is a freely available, post-earthquake situational awareness application that automatically retrieves earthquake shaking data from ShakeMap, compares intensity measures against users? facilities, and generates potential damage assessment notifications, facility damage maps, and other Web-based products for emergency managers and responders.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081158","usgsCitation":"Lin, K., and Wald, D.J., 2008, ShakeCast Manual (Version 1.0): U.S. Geological Survey Open-File Report 2008-1158, viii, 90 p., https://doi.org/10.3133/ofr20081158.","productDescription":"viii, 90 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195066,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11411,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1158/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e478fe4b07f02db48a13a","contributors":{"authors":[{"text":"Lin, Kuo-Wan","contributorId":38656,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-Wan","affiliations":[],"preferred":false,"id":295834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":295833,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":82130,"text":"ofr20081177 - 2008 - Yellow-billed Cuckoo Distribution, Abundance, and Habitat Use Along the Lower Colorado River and Its Tributaries, 2007 Annual Report","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ofr20081177","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","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":"2008-1177","title":"Yellow-billed Cuckoo Distribution, Abundance, and Habitat Use Along the Lower Colorado River and Its Tributaries, 2007 Annual Report","docAbstract":"This 2007 annual report details the second season of a 2-year study documenting western yellow-billed cuckoo (Coccyzus americanus occidentalis) distribution, abundance, and habitat use throughout the Lower Colorado River Multi-Species Conservation Program boundary area. We conducted cuckoo surveys at 40 sites within 14 areas, between 11 June and 9 September 2007. The 169 surveys across all sites yielded 163 yellow-billed cuckoo detections. Cuckoos were detected at 25 of the 40 sites, primarily at the Bill Williams River National Wildlife Refuge (NWR) study area (n = 139 detections; 85 percent of all detections). Detections declined slightly through the cuckoo breeding season, with most detections occurring in the first and second survey periods (n = 92; 54 percent). We detected breeding activity only at the Bill Williams River NWR, where we confirmed 27 breeding events, including two nesting observations. However, the breeding status of most detected birds was unknown. \r\n\r\nWe used playback broadcast recordings to survey for yellow-billed cuckoos. Compared to simple point counts or surveys, this method increases the number of detections of this secretive, elusive species. It has long been suspected that cuckoos have a fairly low response rate, and that the standard survey method of using broadcast recordings might fail to detect all birds present in an area. In 2007, we found that the majority (84 percent) of cuckoo detections were solicited through broadcast at all study sites. The number of solicited detections was highest during the first survey period and declined as the breeding season progressed, while the number of unsolicited detections (cuckoos heard calling before broadcast was initiated) remained fairly constant through the first, second, and third survey periods. The majority (66 percent) of cuckoo detections, solicited or unsolicited, were aural, 23 percent were both heard and seen, and 11 percent were visual detections only. We also found that 50 percent of all responses by cuckoos were evenly split between the first and second broadcasts at sites with >10 detections, while 45 percent of responses occurred after a single broadcast at the sites with <10 detections. \r\n\r\nWe refined our collection of vegetation data in 2007 and found that across the entire study area the dominant tree species were tamarisk (Tamarix spp.), willow (Salix spp.), and cottonwood (Populus spp.). The smallest size class (<8 cm diameter at breast height) trees were the most common and were dominated by tamarisk, but cottonwood and willows were well represented in the larger size classes. Sites that were occupied by yellow-billed cuckoos generally had higher canopies, denser cover in the upper layers of the canopy, and sparse shrub layers compared to unoccupied sites that consistently had higher densities of woody species. As most occupied sites were within the Bill Williams River NWR and most unoccupied sites were at Grand Canyon National Park/Lake Mead National Recreation Area, vegetation characteristics at these study areas drove the cuckoo distribution patterns we observed in 2007. However, there was a range of habitat conditions in locations that were used by yellow-billed cuckoos across the entire lower Colorado River Multi-Species Conservation Program study area. \r\n\r\nWe measured microclimate variables (temperature, relative humidity, soil moisture) at occupied and unoccupied sites, and found that, across the entire study area, occupied sites were consistently cooler during the day and more humid during the day and night compared to unoccupied sites, but that soil moisture did not differ between occupied and unoccupied sites. While most cuckoo detections occurred at Bill Williams River NWR, with generally cooler and more humid conditions, cuckoos were also detected at study areas that had hotter and dryer microclimate conditions. We did not find any relationship of canopy cover characteristics to temperature or soil moisture, suggesting ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081177","collaboration":"Funded by Bureau of Reclamation","usgsCitation":"Johnson, M.J., Durst, S., Calvo, C.M., Stewart, L., Sogge, M.K., Bland, G., and Arundel, T.R., 2008, Yellow-billed Cuckoo Distribution, Abundance, and Habitat Use Along the Lower Colorado River and Its Tributaries, 2007 Annual Report (Version 1.0): U.S. Geological Survey Open-File Report 2008-1177, vi, 274 p., https://doi.org/10.3133/ofr20081177.","productDescription":"vi, 274 p.","onlineOnly":"Y","temporalStart":"2007-06-11","temporalEnd":"2007-09-09","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":194981,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11409,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1177/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.5,32 ], [ -114.5,38 ], [ -113.5,38 ], [ -113.5,32 ], [ -114.5,32 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df8f8","contributors":{"authors":[{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":3604,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":27989,"text":"Colorado Plateau Research Station, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":295820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Durst, Scott L.","contributorId":94746,"corporation":false,"usgs":true,"family":"Durst","given":"Scott L.","affiliations":[],"preferred":false,"id":295826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvo, Christopher M.","contributorId":36643,"corporation":false,"usgs":true,"family":"Calvo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":295824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Laura","contributorId":49887,"corporation":false,"usgs":true,"family":"Stewart","given":"Laura","affiliations":[],"preferred":false,"id":295825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sogge, Mark K. 0000-0002-8337-5689 mark_sogge@usgs.gov","orcid":"https://orcid.org/0000-0002-8337-5689","contributorId":3710,"corporation":false,"usgs":true,"family":"Sogge","given":"Mark","email":"mark_sogge@usgs.gov","middleInitial":"K.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":295821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bland, Geoffrey","contributorId":9735,"corporation":false,"usgs":true,"family":"Bland","given":"Geoffrey","email":"","affiliations":[],"preferred":false,"id":295823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arundel, Terry R. tarundel@usgs.gov","contributorId":5034,"corporation":false,"usgs":true,"family":"Arundel","given":"Terry","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":295822,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":82128,"text":"sim3007 - 2008 - Views of the Sea Floor in Northern Monterey Bay, California","interactions":[],"lastModifiedDate":"2012-02-10T00:11:45","indexId":"sim3007","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3007","title":"Views of the Sea Floor in Northern Monterey Bay, California","docAbstract":"A sonar survey that produced unprecedented high-resolution images of the sea floor in northern Monterey Bay was conducted in 2005 and 2006. The survey, performed over 14 days by the U.S. Geological Survey (USGS), consisted of 172 tracklines and over 300 million soundings and covered an area of 12.2 km2 (4.7 mi2). The goals of this survey were to collect high-resolution bathymetry (depth to the sea floor) and acoustic backscatter data (amount of sound energy bounced back from the sea floor, which provides information on sea-floor hardness and texture) from the inner continental shelf. These data will provide a baseline for future change analyses, geologic mapping, sediment- and contaminant-transport studies, benthic-habitat delineation, and numerical modeling efforts. The survey shows that the inner shelf in this area is extremely varied in nature, encompassing flat sandy areas, faults, boulder fields, and complex bedrock ridges that support rich marine ecosystems. Furthermore, many of these complex bedrock ridges form the ?reefs? that result in a number of California?s classic surf breaks. ","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim3007","isbn":"9781411320925","usgsCitation":"Storlazzi, C., Golden, N., and Finlayson, D.P., 2008, Views of the Sea Floor in Northern Monterey Bay, California: U.S. Geological Survey Scientific Investigations Map 3007, Map Sheet: 48 x 36 inches, https://doi.org/10.3133/sim3007.","productDescription":"Map Sheet: 48 x 36 inches","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":110775,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83733.htm","linkFileType":{"id":5,"text":"html"},"description":"83733"},{"id":195461,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11407,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3007/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.25,36.75 ], [ -122.25,37 ], [ -121.75,37 ], [ -121.75,36.75 ], [ -122.25,36.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adae4b07f02db68582b","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":77889,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[],"preferred":false,"id":295815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Nadine E.","contributorId":58356,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine E.","affiliations":[],"preferred":false,"id":295814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295813,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":82125,"text":"ds344 - 2008 - Archive of Sediment Data Collected from Sandy Point to Belle Pass, Louisiana, 1983 through 2000 (Vibracore Surveys:  00SCC, CR83, P86, and USACE Borehole Cores)","interactions":[],"lastModifiedDate":"2012-02-10T00:11:42","indexId":"ds344","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"344","title":"Archive of Sediment Data Collected from Sandy Point to Belle Pass, Louisiana, 1983 through 2000 (Vibracore Surveys:  00SCC, CR83, P86, and USACE Borehole Cores)","docAbstract":"This CD-ROM publication was prepared by an agency of the U.S. Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of data on any other system, or for general or scientific purposes, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the U.S. Government nor any agency thereof.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds344","usgsCitation":"Dreher, C.A., Flocks, J.G., Ferina, N.F., and Kulp, M., 2008, Archive of Sediment Data Collected from Sandy Point to Belle Pass, Louisiana, 1983 through 2000 (Vibracore Surveys:  00SCC, CR83, P86, and USACE Borehole Cores): U.S. Geological Survey Data Series 344, Available online and on CD-ROM, https://doi.org/10.3133/ds344.","productDescription":"Available online and on CD-ROM","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1983-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":276,"text":"Florida Integrated Science Center - Coastal and Watershed Studies","active":false,"usgs":true}],"links":[{"id":194870,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11399,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/344/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.33333333333333,29 ], [ -90.33333333333333,29.5 ], [ -89.33333333333333,29.5 ], [ -89.33333333333333,29 ], [ -90.33333333333333,29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db691f47","contributors":{"authors":[{"text":"Dreher, Chandra A.","contributorId":71282,"corporation":false,"usgs":true,"family":"Dreher","given":"Chandra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":295802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":295799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferina, Nick F.","contributorId":70501,"corporation":false,"usgs":true,"family":"Ferina","given":"Nick","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":295801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulp, Mark A.","contributorId":16113,"corporation":false,"usgs":true,"family":"Kulp","given":"Mark A.","affiliations":[],"preferred":false,"id":295800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":82134,"text":"sim3014 - 2008 - Potentiometric Surface in the Sparta-Memphis Aquifer of the Mississippi Embayment, Spring 2007","interactions":[],"lastModifiedDate":"2012-02-10T00:11:48","indexId":"sim3014","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3014","title":"Potentiometric Surface in the Sparta-Memphis Aquifer of the Mississippi Embayment, Spring 2007","docAbstract":"The most widely used aquifer for industry and public supply in the Mississippi embayment in Arkansas, Louisiana, Mississippi, and Tennessee is the Sparta-Memphis aquifer. Decades of pumping from the Sparta-Memphis aquifer have affected ground-water levels throughout the Mississippi embayment. Regional assessments of water-level data from the aquifer are important to document regional water-level conditions and to develop a broad view of the effects of ground-water development and management on the sustainability and availability of the region's water supply. This information is useful to identify areas of water-level declines, identify cumulative areal declines that may cross State boundaries, evaluate the effectiveness of ground-water management strategies practiced in different States, and identify areas with substantial data gaps that may preclude effective management of ground-water resources.\r\n\r\nA ground-water flow model of the northern Mississippi embayment is being developed by the Mississippi Embayment Regional Aquifer Study (MERAS) to aid in answering questions about ground-water availability and sustainability. The MERAS study area covers parts of eight states including Alabama, Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, and Tennessee and covers approximately 70,000 square miles. The U.S. Geological Survey (USGS) and the Mississippi Department of Environmental Quality Office of Land and Water Resources measured water levels in wells completed in the Sparta-Memphis aquifer in the spring of 2007 to assist in the MERAS model calibration and to document regional water-level conditions. Measurements by the USGS and the Mississippi Department of Environmental Quality Office of Land and Water Resources were done in cooperation with the Arkansas Natural Resources Commission; the Arkansas Geological Survey; Memphis Light, Gas and Water; Shelby County, Tennessee; and the city of Germantown, Tennessee. \r\n\r\nIn 2005, total water use from the Sparta-Memphis aquifer in the Mississippi embayment was about 540 million gallons per day (Mgal/d). Water use from the Sparta-Memphis aquifer was about 170 Mgal/d in Arkansas, about 68 Mgal/d in Louisiana, about 97 Mgal/d in Mississippi, and about 205 Mgal/d in Tennessee. \r\n\r\nThe author acknowledges, with great appreciation, the efforts of the personnel in the U.S. Geological Survey Water Science Centers of Arkansas, Kentucky, Louisiana, Mississippi, Missouri, and Tennessee, and the Mississippi Department of Environmental Quality Office of Land and Water Resources that participated in the planning, water-level measurement, data evaluation, and review of the potentiometric-surface map. Without the contribution of data and the technical assistance of their staffs, this report would not have been completed.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sim3014","collaboration":"Prepared in cooperation with the U.S. Geological Survey Ground-Water Resources Program, Arkansas Natural Resources Commission, Arkansas Geological Survey, Memphis Light, Gas and Water, Shelby County, Tennessee, and the City of Germantown, Tennessee","usgsCitation":"Schrader, T., 2008, Potentiometric Surface in the Sparta-Memphis Aquifer of the Mississippi Embayment, Spring 2007 (Version 1.0): U.S. Geological Survey Scientific Investigations Map 3014, Map Sheet: 35 x 36 inches, https://doi.org/10.3133/sim3014.","productDescription":"Map Sheet: 35 x 36 inches","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":110773,"rank":700,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83719.htm","linkFileType":{"id":5,"text":"html"},"description":"83719"},{"id":195223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11413,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3014/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.25,30.5 ], [ -94.25,37 ], [ -87.5,37 ], [ -87.5,30.5 ], [ -94.25,30.5 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1de4b07f02db6a9e08","contributors":{"authors":[{"text":"Schrader, T. P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.","middleInitial":"P.","affiliations":[],"preferred":false,"id":295839,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":82126,"text":"sir20085062 - 2008 - Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida","interactions":[{"subject":{"id":79681,"text":"ofr20071019 - 2007 - Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006","indexId":"ofr20071019","publicationYear":"2007","noYear":false,"title":"Drying of floodplain forests associated with water-level decline in the Apalachicola River, Florida: Interim results, 2006"},"predicate":"SUPERSEDED_BY","object":{"id":82126,"text":"sir20085062 - 2008 - Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida","indexId":"sir20085062","publicationYear":"2008","noYear":false,"title":"Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida"},"id":1}],"lastModifiedDate":"2023-12-14T21:46:38.563071","indexId":"sir20085062","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","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":"2008-5062","title":"Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida","docAbstract":"<p><span>Forests of the Apalachicola River floodplain had shorter flood durations, were drier in composition, and had 17 percent fewer trees in 2004 than in 1976. The change to drier forest composition is expected to continue for at least 80&nbsp;more years. Floodplain drying was caused by large declines in river levels resulting from erosion of the river channel after 1954 and from decreased flows in spring and summer&nbsp;months since the 1970s. Water-level declines have been greatest at low and&nbsp;medium flows, which are the&nbsp;most common flows (occurring about 80 percent of the time). Water levels have remained relatively unchanged during large floods which continue to occur about three times per decade.</span><br><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A&nbsp;study conducted by the U.S. Geological Survey compared temporal changes in hydrologic conditions, forest composition, forest characteristics, and individual species of trees, as well as estimated the potential for change in composition of floodplain forests in the nontidal reach of the Apalachicola River. The&nbsp;study was conducted with the cooperation of the Florida Department of Environmental Protection and the Northwest Florida Water Management District. Forest composition and field observations from studies conducted in 1976-1984 (termed “1976 data”) were used as baseline data for comparison with data from plots sampled in 2004-2006 (“2004 data”).</span><br><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Flood durations were shorter in all periods subsequent to 1923-1976. The&nbsp;periods of record used to calculate flood durations for forest data were subsets of the complete record available (1923-2004). At sampled plots in all forest types and reaches combined, flood durations changed an average of&nbsp;more than 70 percent toward the baseline flood duration of the next drier forest type. For all forest types, changes in flood durations toward the next drier type were greatest in the upper reach (95.9 percent) and least in the lower reach (42.0 percent).</span><br><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; All forests are expected to be 38.2 percent drier in species composition by 2085, the year when the&nbsp;median age of surviving 2004 subcanopy trees will reach the&nbsp;median age (99 years) of the 2004 large canopy trees. The&nbsp;change will be greatest for forests in the upper reach (45.0 percent). Forest composition changes from pre-1954 to 2085 were calculated using Floodplain Indices from 1976 and 2004 tree-size classes and replicate plots.</span><br><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Species composition in high bottomland hardwood forests is expected to continue to change, and some low bottomland hardwood forests are expected to become high bottomland hardwood forests. Organisms associated with floodplain forests will be affected by the changes in tree species, which will alter the timing of leaf-out, fruiting, and leaf-drop, the types of fruit and debris produced, and soil chemistry. Swamps will contain&nbsp;more bottomland hardwood species, but will also have an overall loss of tree density.</span><br><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; The&nbsp;density of trees in swamps significantly decreased by 37 percent from 1976 to 2004. Of the estimated 4.3&nbsp;million (17 percent) fewer trees that existed in the nontidal floodplain in 2004 than in 1976, 3.3&nbsp;million trees belonged to four swamp species: popash, Ogeechee tupelo, water tupelo, and bald cypress. Water tupelo, the most important tree in the nontidal floodplain in terms of basal area and density, has declined in number of trees by nearly 20 percent since 1976. Ogeechee tupelo, the species valuable to the tupelo honey industry, has declined in number of trees by at least 44 percent.</span><br><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Greater hydrologic variability in recent years&nbsp;may be the reason swamps have had a large decrease in tree density. Drier conditions are detrimental for the growth of swamp species, and periodic large floods kill invading bottomland hardwood trees. The&nbsp;loss of canopy density in swamps&nbsp;may result in the swamp floor being exposed to&nbsp;more light with an increase in the amount of ground cover present, which in turn, would reduce tree replacement. The&nbsp;microclimate of the swamp floor would become warmer due to the decrease in shade and inundation. Soils would become dehydrated&nbsp;more quickly in dry periods and debris would decompose&nbsp;more quickly. A&nbsp;loss of tree density in swamps would lead to a decrease in tree and leaf litter biomass, which would have additional effects on swamp organisms. The&nbsp;loss of litter would result in a loss of substrate for benthic organisms in the floodplain and, ultimately, in the downstream waters of the river and estuary.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085062","collaboration":"Prepared in cooperation with Florida Department of Environmental Protection, Northwest Florida Water Management District","usgsCitation":"Darst, M.R., and Light, H.M., 2008, Drier forest composition associated with hydrologic change in the Apalachicola River floodplain, Florida (Supersedes OFR 2007-1019): U.S. Geological Survey Scientific Investigations Report 2008-5062, viii, 81 p., https://doi.org/10.3133/sir20085062.","productDescription":"viii, 81 p.","additionalOnlineFiles":"Y","costCenters":[{"id":275,"text":"Florida Integrated Science Center","active":false,"usgs":true}],"links":[{"id":423589,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83724.htm","linkFileType":{"id":5,"text":"html"}},{"id":11402,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5062/","linkFileType":{"id":5,"text":"html"}},{"id":195039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola River floodplain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.75206993245337,\n              30.711861177613017\n            ],\n            [\n              -85.2451013832418,\n              30.711861177613017\n            ],\n            [\n              -85.2451013832418,\n              29.684334769636592\n            ],\n            [\n              -84.75206993245337,\n              29.684334769636592\n            ],\n            [\n              -84.75206993245337,\n              30.711861177613017\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Supersedes OFR 2007-1019","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a61e4b07f02db635b48","contributors":{"authors":[{"text":"Darst, Melanie R.","contributorId":93042,"corporation":false,"usgs":true,"family":"Darst","given":"Melanie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":295804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Light, Helen M.","contributorId":18355,"corporation":false,"usgs":true,"family":"Light","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":295803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":82131,"text":"ofr20081134 - 2008 - Results of the chemical and isotopic analyses of sediment and ground water from alluvium of the Canadian River near a closed municipal landfill, Norman, Oklahoma, part 2","interactions":[],"lastModifiedDate":"2022-06-14T20:08:14.930731","indexId":"ofr20081134","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","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":"2008-1134","title":"Results of the chemical and isotopic analyses of sediment and ground water from alluvium of the Canadian River near a closed municipal landfill, Norman, Oklahoma, part 2","docAbstract":"Analytical results on sediment and associated ground water from the Canadian River alluvium collected subsequent to those described in Breit and others (2005) are presented in this report. The data presented herein were collected primarily to evaluate the iron and sulfur species within the sediment at well sites IC 36, IC 54, and IC South located at the USGS Norman Landfill study site. Cored sediment and water samples were collected during October 2004 and April 2005. The 52 sediment samples collected by coring were analyzed to determine grain size, the abundance of extractable iron species, and the abundance of sulfur forms and their isotopic compositions. Ground water was collected from cluster wells that sampled ground water from 11 to 15 screened intervals at each of the three sites. The depth range of the wells overlapped the interval of cored sediment. Concentrations of major ions, dissolved organic carbon (DOC), ammonium, and iron are reported with pH, specific conductance, and the isotopic composition of the water for the 75 water samples analyzed. Dissolved sulfate in selected water samples was analyzed to determine its sulfur and oxygen isotope composition.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20081134","usgsCitation":"Breit, G.N., Tuttle, M.L., Cozzarelli, I.M., Berry, C.J., Christenson, S.C., and Jaeschke, J.B., 2008, Results of the chemical and isotopic analyses of sediment and ground water from alluvium of the Canadian River near a closed municipal landfill, Norman, Oklahoma, part 2 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1134, vii, 35 p., https://doi.org/10.3133/ofr20081134.","productDescription":"vii, 35 p.","onlineOnly":"Y","temporalStart":"2004-10-01","temporalEnd":"2005-04-30","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":588,"text":"Toxic Hydrology Program","active":false,"usgs":true}],"links":[{"id":194983,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11410,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1134/","linkFileType":{"id":5,"text":"html"}},{"id":402170,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83717.htm"}],"country":"United States","state":"Oklahoma","county":"Cleveland County","city":"Norman","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.50452041625977,\n              35.1924683950976\n            ],\n            [\n              -97.4849510192871,\n              35.1924683950976\n            ],\n            [\n              -97.4849510192871,\n              35.210422919327286\n            ],\n            [\n              -97.50452041625977,\n              35.210422919327286\n            ],\n            [\n              -97.50452041625977,\n              35.1924683950976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a18e4b07f02db604c16","contributors":{"authors":[{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"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":295829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tuttle, Michele L.W. mtuttle@usgs.gov","contributorId":47839,"corporation":false,"usgs":true,"family":"Tuttle","given":"Michele","email":"mtuttle@usgs.gov","middleInitial":"L.W.","affiliations":[],"preferred":false,"id":295832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":295830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Cyrus J. cjberry@usgs.gov","contributorId":946,"corporation":false,"usgs":true,"family":"Berry","given":"Cyrus","email":"cjberry@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christenson, Scott C. schris@usgs.gov","contributorId":980,"corporation":false,"usgs":true,"family":"Christenson","given":"Scott","email":"schris@usgs.gov","middleInitial":"C.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaeschke, Jeanne B. 0000-0002-6237-6164 jaeschke@usgs.gov","orcid":"https://orcid.org/0000-0002-6237-6164","contributorId":3876,"corporation":false,"usgs":true,"family":"Jaeschke","given":"Jeanne","email":"jaeschke@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":295831,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":82127,"text":"ofr20081185 - 2008 - Klamath River Water Quality and Acoustic Doppler Current Profiler Data from Link River Dam to Keno Dam, 2007","interactions":[],"lastModifiedDate":"2012-03-08T17:16:26","indexId":"ofr20081185","displayToPublicDate":"2008-06-10T00:00:00","publicationYear":"2008","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":"2008-1185","title":"Klamath River Water Quality and Acoustic Doppler Current Profiler Data from Link River Dam to Keno Dam, 2007","docAbstract":"In 2007, the U.S. Geological Survey, Watercourse Engineering, and the Bureau of Reclamation began a project to construct and calibrate a water quality and hydrodynamic model of the 21-mile reach of the Klamath River from Link River Dam to Keno Dam. To provide a basis for this work, data collection and experimental work were planned for 2007 and 2008. This report documents sampling and analytical methods and presents data from the first year of work. To determine water velocities and discharge, a series of cross-sectional acoustic Doppler current profiler (ADCP) measurements were made on the mainstem and four canals on May 30 and September 19, 2007. Water quality was sampled weekly at five mainstem sites and five tributaries from early April through early November, 2007. Constituents reported here include field parameters (water temperature, pH, dissolved oxygen concentration, specific conductance); total nitrogen and phosphorus; particulate carbon and nitrogen; filtered orthophosphate, nitrite, nitrite plus nitrate, ammonia, organic carbon, iron, silica, and alkalinity; specific UV absorbance at 254 nm; phytoplankton and zooplankton enumeration and species identification; and bacterial abundance and morphological subgroups.\r\n\r\nThe ADCP measurements conducted in good weather conditions in May showed that four major canals accounted for most changes in discharge along the mainstem on that day. Direction of velocity at measured locations was fairly homogeneous across the channel, while velocities were generally lowest near the bottom, and highest near surface, ranging from 0.0 to 0.8 ft/s. Measurements in September, made in windy conditions, raised questions about the effect of wind on flow.\r\n\r\nMost nutrient and carbon concentrations were lowest in spring, increased and remained elevated in summer, and decreased in fall. Dissolved nitrite plus nitrate and nitrite had a different seasonal cycle and were below detection or at low concentration in summer. Many nutrient and carbon concentrations were similar at the top and bottom of the water column, though ammonia and particulate carbon showed more variability in summer. Averaged over the season, particulate carbon and particulate nitrogen decreased in the downstream direction, while ammonia and orthophosphate concentrations increased in the downstream direction.\r\n\r\nAt most sites, bacteria, phytoplankton, and zooplankton populations reached their maximums in summer. Large bacterial cells made up most of the bacteria biovolume, though cocci were the most numerous bacteria type. The cocci were smaller than the filter pore sizes used to separate dissolved from particulate matter in this study. Phytoplankton biovolumes were dominated by the blue-green alga Aphanizomenon flos-aquae most of the sampling season, though a spring diatom bloom occurred. Phytoplankton biovolumes were generally highest at the upstream Link River and Railroad Bridge sites and decreased in the downstream direction. Zooplankton populations were dominated by copepods in early spring, and by cladocerans and rotifers in summer, with rotifers more common farther downstream.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081185","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Sullivan, A.B., Deas, M., Asbill, J., Kirshtein, J.D., Butler, K.D., Stewart, M.A., Wellman, R.W., and Vaughn, J., 2008, Klamath River Water Quality and Acoustic Doppler Current Profiler Data from Link River Dam to Keno Dam, 2007: U.S. Geological Survey Open-File Report 2008-1185, viii, 24 p., https://doi.org/10.3133/ofr20081185.","productDescription":"viii, 24 p.","onlineOnly":"Y","temporalStart":"2007-05-30","temporalEnd":"2007-09-19","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":195124,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11403,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1185/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122,42 ], [ -122,42.333333333333336 ], [ -121.75,42.333333333333336 ], [ -121.75,42 ], [ -122,42 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b47c8","contributors":{"authors":[{"text":"Sullivan, Annett B. 0000-0001-7783-3906 annett@usgs.gov","orcid":"https://orcid.org/0000-0001-7783-3906","contributorId":56317,"corporation":false,"usgs":true,"family":"Sullivan","given":"Annett","email":"annett@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":295809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deas, Michael L.","contributorId":98830,"corporation":false,"usgs":true,"family":"Deas","given":"Michael L.","affiliations":[],"preferred":false,"id":295812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Asbill, Jessica","contributorId":79575,"corporation":false,"usgs":true,"family":"Asbill","given":"Jessica","affiliations":[],"preferred":false,"id":295811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":295807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Kenna D. kebutler@usgs.gov","contributorId":3283,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":295806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Marc A. 0000-0003-1140-6316 mastewar@usgs.gov","orcid":"https://orcid.org/0000-0003-1140-6316","contributorId":2277,"corporation":false,"usgs":true,"family":"Stewart","given":"Marc","email":"mastewar@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295805,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wellman, Roy W.","contributorId":78834,"corporation":false,"usgs":true,"family":"Wellman","given":"Roy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":295810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaughn, Jennifer","contributorId":33009,"corporation":false,"usgs":true,"family":"Vaughn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":295808,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":82124,"text":"sir20085076 - 2008 - Modeling hydrodynamics and heat transport in Upper Klamath Lake, Oregon, and implications for water quality","interactions":[],"lastModifiedDate":"2022-12-27T13:24:16.101896","indexId":"sir20085076","displayToPublicDate":"2008-06-07T00:00:00","publicationYear":"2008","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":"2008-5076","title":"Modeling hydrodynamics and heat transport in Upper Klamath Lake, Oregon, and implications for water quality","docAbstract":"<p>The three-dimensional numerical model UnTRIM was used to model hydrodynamics and heat transport in Upper Klamath Lake, Oregon, between mid-June and mid-September in 2005 and between mid-May and mid-October in 2006. Data from as many as six meteorological stations were used to generate a spatially interpolated wind field to use as a forcing function. Solar radiation, air temperature, and relative humidity data all were available at one or more sites. In general, because the available data for all inflows and outflows did not adequately close the water budget as calculated from lake elevation and stage-capacity information, a residual inflow or outflow was used to assure closure of the water budget.</p><p>Data used for calibration in 2005 included lake elevation at 3 water-level gages around the lake, water currents at 5 Acoustic Doppler Current Profiler (ADCP) sites, and temperature at 16 water-quality monitoring locations. The calibrated model accurately simulated the fluctuations of the surface of the lake caused by daily wind patterns. The use of a spatially variable surface wind interpolated from two sites on the lake and four sites on the shoreline generally resulted in more accurate simulation of the currents than the use of a spatially invariant surface wind as observed at only one site on the lake. The simulation of currents was most accurate at the deepest site (ADCP1, where the velocities were highest) using a spatially variable surface wind; the mean error (ME) and root mean square error (RMSE) for the depth-averaged speed over a 37-day simulation from July 26 to August 31, 2005, were 0.50 centimeter per second (cm/s) and 3.08 cm/s, respectively. Simulated currents at the remaining sites were less accurate and, in general, underestimated the measured currents. The maximum errors in simulated currents were at a site near the southern end of the trench at the mouth of Howard Bay (ADCP7), where the ME and RMSE in the depth-averaged speed were 3.02 and 4.38 cm/s, respectively. The range in ME of the temperature simulations over the same period was –0.94 to 0.73 degrees Celsius (°C), and the RMSE ranged from 0.43 to 1.12°C. The model adequately simulated periods of stratification in the deep trench when complete mixing did not occur for several days at a time.</p><p>The model was validated using boundary conditions and forcing functions from 2006 without changing any calibration parameters. A spatially variable wind was used. Data for the model validation periods in 2006 included lake elevation at 4 gages around the lake, currents collected at 2 ADCP sites, and temperature collected at 21 water-quality monitoring locations. Errors generally were larger than in 2005. ME and RMSE in the simulated velocity at ADCP1 were 2.30 cm/s and 3.88 cm/s, respectively, for the same 37-day simulation over which errors were computed for 2005. The ME in temperature over the same period ranged from –0.56 to 1.5°C and the RMSE ranged from 0.41 to 1.86°C.</p><p>Numerical experiments with conservative tracers were used to demonstrate the prevailing clockwise circulation patterns in the lake, and to show the influence of water from the deep trench located along the western shoreline of the lake on fish habitat in the northern part of the lake. Because water exiting the trench is split into two pathways, the numerical experiments indicate that bottom water from the trench has a stronger influence on water quality in the northern part of the lake, and surface water from the trench has a stronger influence on the southern part of the lake. This may be part of the explanation for why episodes of low dissolved oxygen tend to be more severe in the northern than in the southern part of the lake.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20085076","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Wood, T.M., Cheng, R.T., Gartner, J.W., Hoilman, G.R., Lindenberg, M.K., and Wellman, R.E., 2008, Modeling hydrodynamics and heat transport in Upper Klamath Lake, Oregon, and implications for water quality: U.S. Geological Survey Scientific Investigations Report 2008-5076, vi, 49 p., https://doi.org/10.3133/sir20085076.","productDescription":"vi, 49 p.","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":195367,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11398,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2008/5076/","linkFileType":{"id":5,"text":"html"}},{"id":411058,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83730.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.08333333333333,42.11666666666667 ], [ -122.08333333333333,42.61666666666667 ], [ -121.66666666666667,42.61666666666667 ], [ -121.66666666666667,42.11666666666667 ], [ -122.08333333333333,42.11666666666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a28e4b07f02db61126d","contributors":{"authors":[{"text":"Wood, Tamara M. 0000-0001-6057-8080 tmwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6057-8080","contributorId":1164,"corporation":false,"usgs":true,"family":"Wood","given":"Tamara","email":"tmwood@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheng, Ralph T.","contributorId":69134,"corporation":false,"usgs":true,"family":"Cheng","given":"Ralph","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":295796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartner, Jeffrey W.","contributorId":77524,"corporation":false,"usgs":true,"family":"Gartner","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":295797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoilman, Gene R.","contributorId":78413,"corporation":false,"usgs":true,"family":"Hoilman","given":"Gene","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":295798,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindenberg, Mary K.","contributorId":40290,"corporation":false,"usgs":true,"family":"Lindenberg","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":295795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wellman, Roy E. 0000-0003-4460-8918 rwellman@usgs.gov","orcid":"https://orcid.org/0000-0003-4460-8918","contributorId":1706,"corporation":false,"usgs":true,"family":"Wellman","given":"Roy","email":"rwellman@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295794,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":82119,"text":"ofr20081176 - 2008 - Reconnaissance study of water quality in the mining-affected Aries River Basin, Romania","interactions":[],"lastModifiedDate":"2017-05-23T13:16:57","indexId":"ofr20081176","displayToPublicDate":"2008-06-06T00:00:00","publicationYear":"2008","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":"2008-1176","title":"Reconnaissance study of water quality in the mining-affected Aries River Basin, Romania","docAbstract":"The Aries River basin of western Romania has been subject to mining activities as far back as Roman times. Present mining activities are associated with the extraction and processing of various metals including Au, Cu, Pb, and Zn. To understand the effects of these mining activities on the environment, this study focused on three objectives: (1) establish a baseline set of physical parameters, and water- and sediment-associated concentrations of metals in river-valley floors and floodplains; (2) establish a baseline set of physical and chemical measurements of pore water and sediment in tailings; and (3) provide training in sediment and water sampling to personnel in the National Agency for Mineral Resources and the Rosia Poieni Mine. This report summarizes basin findings of physical parameters and chemistry (sediment and water), and ancillary data collected during the low-flow synoptic sampling of May 2006.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20081176","collaboration":"Prepared in cooperation with the World Bank, Romanian National Agency for Mineral Resources, and Futures Group","usgsCitation":"Friedel, M.J., Tindall, J.A., Sardan, D., Fey, D.L., and Poputa, G., 2008, Reconnaissance study of water quality in the mining-affected Aries River Basin, Romania (Version 1.0): U.S. Geological Survey Open-File Report 2008-1176, vi, 40 p., https://doi.org/10.3133/ofr20081176.","productDescription":"vi, 40 p.","onlineOnly":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":190957,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11393,"rank":100,"type":{"id":15,"text":"Index 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Center","active":true,"usgs":true}],"preferred":true,"id":295778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tindall, James A. 0000-0002-0940-1586 jtindall@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-1586","contributorId":2529,"corporation":false,"usgs":true,"family":"Tindall","given":"James","email":"jtindall@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":295780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sardan, Daniel","contributorId":59125,"corporation":false,"usgs":true,"family":"Sardan","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":295781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fey, David L. dfey@usgs.gov","contributorId":713,"corporation":false,"usgs":true,"family":"Fey","given":"David","email":"dfey@usgs.gov","middleInitial":"L.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":295779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poputa, G.L.","contributorId":78021,"corporation":false,"usgs":true,"family":"Poputa","given":"G.L.","email":"","affiliations":[],"preferred":false,"id":295782,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":82121,"text":"ofr20081108 - 2008 - Hydrocarbon Source Rocks in the Deep River and Dan River Triassic Basins, North Carolina","interactions":[],"lastModifiedDate":"2016-12-08T10:54:56","indexId":"ofr20081108","displayToPublicDate":"2008-06-06T00:00:00","publicationYear":"2008","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":"2008-1108","title":"Hydrocarbon Source Rocks in the Deep River and Dan River Triassic Basins, North Carolina","docAbstract":"This report presents an interpretation of the hydrocarbon source rock potential of the Triassic sedimentary rocks of the Deep River and Dan River basins, North Carolina, based on previously unpublished organic geochemistry data. The organic geochemical data, 87 samples from 28 drill holes, are from the Sanford sub-basin (Cumnock Formation) of the Deep River basin, and from the Dan River basin (Cow Branch Formation). The available organic geochemical data are biased, however, because many of the samples collected for analyses by industry were from drill holes that contained intrusive diabase dikes, sills, and sheets of early Mesozoic age. These intrusive rocks heated and metamorphosed the surrounding sediments and organic matter in the black shale and coal bed source rocks and, thus, masked the source rock potential that they would have had in an unaltered state. In places, heat from the intrusives generated over-mature vitrinite reflectance (%Ro) profiles and metamorphosed the coals to semi-anthracite, anthracite, and coke. The maximum burial depth of these coal beds is unknown, and depth of burial may also have contributed to elevated thermal maturation profiles. \r\n\r\nThe organic geochemistry data show that potential source rocks exist in the Sanford sub-basin and Dan River basin and that the sediments are gas prone rather than oil prone, although both types of hydrocarbons were generated. Total organic carbon (TOC) data for 56 of the samples are greater than the conservative 1.4% TOC threshold necessary for hydrocarbon expulsion. Both the Cow Branch Formation (Dan River basin) and the Cumnock Formation (Deep River basin, Sanford sub-basin) contain potential source rocks for oil, but they are more likely to have yielded natural gas. The organic material in these formations was derived primarily from terrestrial Type III woody (coaly) material and secondarily from lacustrine Type I (algal) material. Both the thermal alteration index (TAI) and vitrinite reflectance data (%Ro) indicate levels of thermal maturity suitable for generation of hydrocarbons.\r\n\r\nThe genetic potential of the source rocks in these Triassic basins is moderate to high and many source rock sections have at least some potential for hydrocarbon generation. Some data for the Cumnock Formation indicate a considerably higher source rock potential than the basin average, with S1 + S2 data in the mid-20 mg HC/g sample range, and some hydrocarbons have been generated. This implies that the genetic potential for all of these strata may have been higher prior to the igneous activity. However, the intergranular porosity and permeability of the Triassic strata are low, which makes fractured reservoirs more attractive as drilling targets.\r\n\r\nIn some places, gravity and magnetic surveys that are used to locate buried intrusive rock may identify local thermal sources that have facilitated gas generation. Alternatively, awareness of the distribution of large intrusive igneous bodies at depth may direct exploration into other areas, where thermal maturation is less than the limits of hydrocarbon destruction. Areas prospective for natural gas also contain large surficial clay resources and any gas discovered could be used as fuel for local industries that produce clay products (principally brick), as well as fuel for other local industries.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081108","collaboration":"Prepared in cooperation with the North Carolina Geological Survey","usgsCitation":"Reid, J.C., and Milici, R.C., 2008, Hydrocarbon Source Rocks in the Deep River and Dan River Triassic Basins, North Carolina: U.S. Geological Survey Open-File Report 2008-1108, iv, 27 p., https://doi.org/10.3133/ofr20081108.","productDescription":"iv, 27 p.","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":195158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11395,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//of/2008/1108/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","otherGeospatial":"Dan River Basin, Deep River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.716552734375,\n              34.92197103616377\n            ],\n            [\n              -78.848876953125,\n              36.518465989675875\n            ],\n            [\n              -77.05810546875,\n              36.55377524336089\n            ],\n            [\n              -79.541015625,\n              34.66032236481892\n            ],\n            [\n              -79.6728515625,\n              34.8047829195724\n            ],\n            [\n              -80.782470703125,\n              34.82282272723702\n            ],\n            [\n              -80.716552734375,\n              34.92197103616377\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a232","contributors":{"authors":[{"text":"Reid, Jeffrey C.","contributorId":66799,"corporation":false,"usgs":true,"family":"Reid","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":295785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milici, Robert C. rmilici@usgs.gov","contributorId":563,"corporation":false,"usgs":true,"family":"Milici","given":"Robert","email":"rmilici@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":295784,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81823,"text":"fs20083033 - 2008 - Watershed influences and in-lake processes - A regional-scale approach to monitoring a water-supply reservoir, Lake Houston near Houston, Texas","interactions":[],"lastModifiedDate":"2022-08-25T19:04:31.491389","indexId":"fs20083033","displayToPublicDate":"2008-06-04T00:00:00","publicationYear":"2008","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":"2008-3033","title":"Watershed influences and in-lake processes - A regional-scale approach to monitoring a water-supply reservoir, Lake Houston near Houston, Texas","docAbstract":"<p>Created in 1954 by an impoundment on the San Jacinto River, Lake Houston currently (2008) supplies about 20 percent of the total source water for the city of Houston. Houston historically has relied on ground water as the major source of supply. As a result of regulations to limit ground-water withdrawals because of associated land subsidence (effective in 2010), the lake will become the primary source of water supply for the city in the future. Since 1983 the U.S. Geological Survey (USGS), in cooperation with the City of Houston, has collected water-quality and lake-level data at Lake Houston, as well as discharge and intermittent water-quality data at its major inflowing tributaries. Previous studies indicate that Lake Houston is shallow, eutrophic, light limited and has a variable hydrologic regime with water residence times ranging from 12 hours to 400 days. Spring Creek, a tributary that drains the western, more urban, part of the Lake Houston watershed, contributes more sediment and nutrients than East Fork San Jacinto River, a tributary that drains the more rural, eastern part of the watershed. This fact sheet explains the importance of monitoring for management of the resource and describes ongoing research in the Lake Houston watershed by the USGS and the City.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20083033","collaboration":"Prepared in cooperation with the City of Houston","usgsCitation":"Oden, T., and Graham, J.L., 2008, Watershed influences and in-lake processes - A regional-scale approach to monitoring a water-supply reservoir, Lake Houston near Houston, Texas (Version 1.0): U.S. Geological Survey Fact Sheet 2008-3033, 2 p., https://doi.org/10.3133/fs20083033.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":124334,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2008_3033.jpg"},{"id":11386,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2008/3033/","linkFileType":{"id":5,"text":"html"}},{"id":405617,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_83694.htm","linkFileType":{"id":5,"text":"html"}},{"id":327670,"rank":101,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2008/3033/pdf/fs2008-3033.pdf","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Texas","city":"Houston","otherGeospatial":"Lake Houston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.9417,\n              29.9\n            ],\n            [\n              -95,\n              29.9\n            ],\n            [\n              -95,\n              30.7167\n            ],\n            [\n              -95.9417,\n              30.7167\n            ],\n            [\n              -95.9417,\n              29.9\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687cf2","contributors":{"authors":[{"text":"Oden, Timothy D. toden@usgs.gov","contributorId":1284,"corporation":false,"usgs":true,"family":"Oden","given":"Timothy D.","email":"toden@usgs.gov","affiliations":[],"preferred":true,"id":295760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":295761,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81822,"text":"ofr20081172 - 2008 - Analytical Results for Municipal Biosolids Samples from a Monitoring Program Near Deer Trail, Colorado (USA), 1999 through 2006","interactions":[],"lastModifiedDate":"2012-02-10T00:11:50","indexId":"ofr20081172","displayToPublicDate":"2008-06-04T00:00:00","publicationYear":"2008","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":"2008-1172","title":"Analytical Results for Municipal Biosolids Samples from a Monitoring Program Near Deer Trail, Colorado (USA), 1999 through 2006","docAbstract":"Since late 1993, Metro Wastewater Reclamation District of Denver (Metro District), a large wastewater treatment plant in Denver, Colorado, has applied Grade I, Class B biosolids to about 52,000 acres of non-irrigated farmland and rangeland near Deer Trail, Colorado. In cooperation with the Metro District in 1993, the U.S. Geological Survey (USGS) began monitoring ground water at part of this site (Yager and Arnold, 2003). In 1999, the USGS began a more comprehensive monitoring study of the entire site to address stakeholder concerns about the potential chemical effects of biosolids applications. This more comprehensive monitoring program has recently been extended through 2010. Monitoring components of the more comprehensive study include biosolids collected at the wastewater treatment plant, soil, crops, dust, alluvial and bedrock ground water, and stream bed sediment. Streams at the site are dry most of the year, so samples of stream bed sediment deposited after rain were used to indicate surface-water effects. This report will present only analytical results for the biosolids samples collected at the Metro District wastewater treatment plant in Denver and analyzed during 1999 through 2006. More information about the other monitoring components is presented elsewhere in the literature (e.g., Yager and others, 2004a, 2004b, 2004c, 2004d). Priority parameters for biosolids identified by the stakeholders and also regulated by Colorado when used as an agricultural soil amendment include the total concentrations of nine trace elements (arsenic, cadmium, copper, lead, mercury, molybdenum, nickel, selenium, and zinc), plutonium isotopes, and gross alpha and beta activity. Nitrogen and chromium also were priority parameters for ground water and sediment components.\r\nIn general, the objective of each component of the study was to determine whether concentrations of priority parameters (1) were higher than regulatory limits, (2) were increasing with time, or (3) were significantly higher in biosolids-applied areas than in a similar farmed area where biosolids were not applied.\r\nAnalytical results indicate that the elemental composition of the biosolids from the Denver plant was consistent during 1999-2006, and total concentrations of regulated trace elements were consistently lower than the regulatory limits. Plutonium isotopes were not detected in any of the biosolids samples for the entire sampling period. Analytical results for gross and were highly imprecise and erratic. As a result of the cancelation of regulation requiring their monitoring in biosolids, the determination of both was discontinued mid-study.\r\nData from this study were used to compile an inorganic-chemical biosolids signature that can be contrasted with the geochemical signature for this site. The biosolids signature and an understanding of the geology and hydrology of the site can be used to separate biosolids effects from natural geochemical effects. Elements of particular interest for a biosolids signature include bismuth, copper, silver, mercury, and phosphorus.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ofr20081172","usgsCitation":"Crock, J., Smith, D.B., Yager, T.J., Brown, Z.A., and Adams, M.G., 2008, Analytical Results for Municipal Biosolids Samples from a Monitoring Program Near Deer Trail, Colorado (USA), 1999 through 2006 (Version 1.0): U.S. Geological Survey Open-File Report 2008-1172, iv, 67 p., https://doi.org/10.3133/ofr20081172.","productDescription":"iv, 67 p.","onlineOnly":"Y","temporalStart":"1999-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195240,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11385,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2008/1172/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104,39.43333333333333 ], [ -104,39.75 ], [ -103.7,39.75 ], [ -103.7,39.43333333333333 ], [ -104,39.43333333333333 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4acce4b07f02db67e8f1","contributors":{"authors":[{"text":"Crock, J.G.","contributorId":58236,"corporation":false,"usgs":true,"family":"Crock","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":295756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, D. B. davidsmith@usgs.gov","contributorId":12840,"corporation":false,"usgs":true,"family":"Smith","given":"D.","email":"davidsmith@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":false,"id":295755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, T. J. B.","contributorId":77256,"corporation":false,"usgs":true,"family":"Yager","given":"T.","email":"","middleInitial":"J. B.","affiliations":[],"preferred":false,"id":295757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Z. A.","contributorId":82708,"corporation":false,"usgs":true,"family":"Brown","given":"Z.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":295758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, M. G.","contributorId":84812,"corporation":false,"usgs":true,"family":"Adams","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":295759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":82117,"text":"sir20075090 - 2008 - Trends In Nutrient and Sediment Concentrations and Loads In Major River Basins of the South-Central United States, 1993-2004","interactions":[],"lastModifiedDate":"2012-02-02T00:14:25","indexId":"sir20075090","displayToPublicDate":"2008-06-04T00:00:00","publicationYear":"2008","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":"2007-5090","title":"Trends In Nutrient and Sediment Concentrations and Loads In Major River Basins of the South-Central United States, 1993-2004","docAbstract":"Nutrient and sediment data collected at 115 sites by Federal and State agencies from 1993 to 2004 were analyzed by the U.S. Geological Survey to determine trends in concentrations and loads for selected rivers and streams that drain into the northwestern Gulf of Mexico from the south-central United States, specifically from the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf Basins. Trends observed in the study area were compared to determine potential regional patterns and to determine cause-effect relations with trends in hydrologic and human-induced factors such as nutrient sources, streamflow, and implementation of best management practices. Secondary objectives included calculation of loads and yields for the study period as a basis for comparing the delivery of nutrients and sediment to the northwestern Gulf of Mexico from the various rivers within the study area. In addition, loads were assessed at seven selected sites for the period 1980-2004 to give hydrologic perspective to trends in loads observed during 1993-2004.\r\n\r\nMost study sites (about 64 percent) either had no trends or decreasing trends in streamflow during the study period. The regional pattern of decreasing trends in streamflow during the study period appeared to correspond to moist conditions at the beginning of the study period and the influence of three drought periods during the study period, of which the most extreme was in 2000. Trend tests were completed for ammonia at 49 sites, for nitrite plus nitrate at 69 sites, and for total nitrogen at 41 sites. For all nitrogen constituents analyzed, no trends were observed at half or more of the sites. No regional trend patterns could be confirmed because there was poor spatial representation of the trend sites. Decreasing trends in flow-adjusted concentrations of ammonia were observed at 25 sites. No increasing trends in concentrations of ammonia were noted at any sites. Flow-adjusted concentrations of nitrite plus nitrate decreased at 7 sites and increased at14 sites. Flow-adjusted concentrations of total nitrogen decreased at 2 sites and increased at 12 sites. Improvements to municipal wastewater treatment facilities contributed to the decline of ammonia concentrations at selected sites. Notable increasing trends in nitrite plus nitrate and total nitrogen at selected study sites were attributed to both point and nonpointsources. Trend patterns in total nitrogen generally followed trend patterns in nitrite plus nitrate, which was understandable given that nitrite plus nitrate loads generally were 70-90 percent of the total nitrogen loads at most sites. Population data were used as a surrogate to understand the relation between changes in point sources and nutrient trends because data from wastewater treatment plants were inconsistent for this study area. Although population increased throughout the study area during the study period, there was no observed relation between increasing trends in nitrogen in study area streams and increasing trends in population. With respect to other nitrogen sources, statistical results did suggest that increasing trends in nitrogen could be related to increasing trends in nitrogen from either commercial fertilizer use and/or land application of manure.\r\n\r\nLoads of ammonia, nitrite plus nitrate, and total nitrogen decreased during the study period, but some trends in nitrogen loads were part of long-term decreases since 1980. For example, ammonia loads were shown to decrease at nearly all sites over the past decade, but at selected sites, these decreasing trends were part of much longer trends since 1980. The Mississippi and Atchafalaya Rivers contributed the highest nitrogen loads to the northwestern Gulf of Mexico as expected; however, nitrogen yields from smaller rivers had similar or higher yields than yields from the Mississippi River.\r\n\r\nTrend tests were completed for orthophosphorus at 34 sites and for total phosphorus at 52 sites. No trends were observed in abo","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/sir20075090","usgsCitation":"Rebich, R.A., and Demcheck, D.K., 2008, Trends In Nutrient and Sediment Concentrations and Loads In Major River Basins of the South-Central United States, 1993-2004 (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2007-5090, x, 112 p., https://doi.org/10.3133/sir20075090.","productDescription":"x, 112 p.","temporalStart":"1993-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":121225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2007_5090.jpg"},{"id":11390,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2007/5090/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ce4b07f02db62670b","contributors":{"authors":[{"text":"Rebich, Richard A. 0000-0003-4256-7171 rarebich@usgs.gov","orcid":"https://orcid.org/0000-0003-4256-7171","contributorId":2315,"corporation":false,"usgs":true,"family":"Rebich","given":"Richard","email":"rarebich@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":295775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demcheck, Dennis K. 0000-0003-2981-078X ddemchec@usgs.gov","orcid":"https://orcid.org/0000-0003-2981-078X","contributorId":3273,"corporation":false,"usgs":true,"family":"Demcheck","given":"Dennis","email":"ddemchec@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":295776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":81820,"text":"cir1320 - 2008 - Report of the Federal Advisory Committee on the Bird Banding Laboratory","interactions":[],"lastModifiedDate":"2012-02-02T00:14:30","indexId":"cir1320","displayToPublicDate":"2008-06-04T00:00:00","publicationYear":"2008","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1320","title":"Report of the Federal Advisory Committee on the Bird Banding Laboratory","docAbstract":"In the fall of 2005, the Directors of the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (FWS) determined that to ensure that the Bird Banding Laboratory (BBL) of the USGS maintains and continues its important support of conservation and management of birds, it should be guided by a clear vision for the future. In order to carry out this task, they impaneled a fourteen-member Federal Advisory Committee (FAC) on the Bird Banding Laboratory. It was made up of representatives of the broad bird-banding community, public and private, and was cochaired by a senior representative from each agency. The Committee met four times and a writing subgroup met three times over the course of its work.\r\n\r\nThe Committee identified a new vision and mission for the BBL and identified six goals that it believes should be integral to the development of a strategic plan to achieve them. Those goals are:\r\n\r\n1. Facilitate the identification of individual birds through marking. \r\n2. Create automated, electronic systems that efficiently verify, accept, store, and manage data associated with individually marked birds. \r\n3. Facilitate access to and use of data from marked birds for science, conservation, and management. \r\n4. Administer permits in an efficient, timely, and modern manner, and use them to ensure that bird welfare and data quality remain top priorities. \r\n5. Work closely with national and international partners to achieve the mission of the BBL. \r\n6. Manage the BBL in an efficient, cost-effective manner to maximize use of available resources.\r\n\r\nMost of the report is structured around these goals.\r\n\r\nThe Committee made 2 programmatic recommendations and identified 23 objectives and 58 specific recommendations. The programmatic recommendations are: (1) that the primary role of the BBL is and should continue to be to support the use of banding and banding data by researchers and managers engaged in science, conservation, and management of birds, and not to play a lead role in original research; and (2) that the BBL be managed nationally by USGS headquarters as a research and operational support unit and provided with the resources appropriate to its national and international\r\nfunctions and responsibilities; it should continue to be located physically at the Patuxent Wildlife Research Center (PWRC).\r\n\r\nIn order to achieve its vision and mission, the Committee believes that the BBL must work towards achieving all of the recommendations in this report. Nevertheless, it identified five objectives\r\nthat stand out as high priority, and they are as follows:\r\n\r\n*Objective 1.1?to ensure a continuing, adequate supply of high-quality, Federally issued numeric bands of required sizes, materials, and types; \r\n*Objective 2.1?to improve mechanisms for verifying, accepting, storing, and managing bird-banding data; \r\n*Objective 2.3?to accommodate recapture data; \r\n*Objective 4.1?to ensure through the permitting process that banders know how to safely handle birds, collect data accurately, and maintain birds in humane and healthful conditions; and \r\n*Objective 5.3?to encourage the development of banding programs in Latin America and the Caribbean.\r\n\r\nFinally, this Committee believes that the BBL will be well served if it continues to support a Federal Advisory Committee, composed similarly to this one, to continue offering guidance and direction from the broad bird-banding community.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/cir1320","isbn":"9781411320321","collaboration":"Prepared in cooperation with The Association of Fish and Wildlife Agencies, National Flyway Council, Cornell Laboratory of Ornithology, The Institute for Bird Populations, Colorado State University, Canadian Wildlife Service, National Audubon Society, Ducks Unlimited, The Wildlife Society, The Ornithological Council, North American Banding Council, The Conservation Fund, U.S. Fish and Wildlife Service, and Pheasants Forever","usgsCitation":"Haseltine, S.D., Schmidt, P.R., Bales, B.D., Bonter, D.N., DeSante, D.F., Doherty, P., Francis, C., Green, P.T., Howes, L., James, D.L., Lament, J.J., Lancia, R.A., Paul, E.I., Ralph, C.J., Rogers, J.G., and Young, R.E., 2008, Report of the Federal Advisory Committee on the Bird Banding Laboratory: U.S. Geological Survey Circular 1320, iv, 20 p., https://doi.org/10.3133/cir1320.","productDescription":"iv, 20 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":195280,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":11381,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/circ1320/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c668","contributors":{"authors":[{"text":"Haseltine, Susan D.","contributorId":76837,"corporation":false,"usgs":true,"family":"Haseltine","given":"Susan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":295748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Paul R.","contributorId":73298,"corporation":false,"usgs":true,"family":"Schmidt","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":295747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bales, Bradley D.","contributorId":61119,"corporation":false,"usgs":true,"family":"Bales","given":"Bradley","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":295744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonter, David N.","contributorId":87645,"corporation":false,"usgs":true,"family":"Bonter","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":295749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeSante, David F.","contributorId":49065,"corporation":false,"usgs":true,"family":"DeSante","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":295743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Doherty, Paul F.","contributorId":107000,"corporation":false,"usgs":true,"family":"Doherty","given":"Paul F.","affiliations":[],"preferred":false,"id":295752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Francis, Charles M.","contributorId":14529,"corporation":false,"usgs":true,"family":"Francis","given":"Charles M.","affiliations":[],"preferred":false,"id":295740,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, Paul T.","contributorId":98406,"corporation":false,"usgs":true,"family":"Green","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":295751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howes, Lesley-Anne","contributorId":68846,"corporation":false,"usgs":true,"family":"Howes","given":"Lesley-Anne","email":"","affiliations":[],"preferred":false,"id":295745,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"James, Daniel L.","contributorId":93987,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":295750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lament, J. Jasper","contributorId":11296,"corporation":false,"usgs":true,"family":"Lament","given":"J.","email":"","middleInitial":"Jasper","affiliations":[],"preferred":false,"id":295737,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lancia, Richard A.","contributorId":14073,"corporation":false,"usgs":true,"family":"Lancia","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":295739,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Paul, Ellen I.","contributorId":19248,"corporation":false,"usgs":true,"family":"Paul","given":"Ellen","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":295741,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ralph, C. John","contributorId":71284,"corporation":false,"usgs":true,"family":"Ralph","given":"C.","email":"","middleInitial":"John","affiliations":[],"preferred":false,"id":295746,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rogers, John G.","contributorId":11297,"corporation":false,"usgs":true,"family":"Rogers","given":"John","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":295738,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Young, Richard E.","contributorId":41102,"corporation":false,"usgs":true,"family":"Young","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":295742,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
]}