{"pageNumber":"1006","pageRowStart":"25125","pageSize":"25","recordCount":68937,"records":[{"id":76844,"text":"ds189 - 2006 - PRISM3 DOT1 Atlantic Basin Reconstruction","interactions":[],"lastModifiedDate":"2017-05-10T16:32:10","indexId":"ds189","displayToPublicDate":"2006-06-21T00:00:00","publicationYear":"2006","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":"189","title":"PRISM3 DOT1 Atlantic Basin Reconstruction","docAbstract":"PRISM3 DOT1 (Pliocene Research, Interpretation and Synoptic Mapping 3, Deep Ocean Temperature 1) provides a three-dimensional temperature reconstruction for the mid-Pliocene Atlantic basin, the first of several regional data sets that will comprise a global mid-Pliocene reconstruction. DOT1 is an alteration of modern temperature values for the Atlantic Ocean in 4 degree x 5 degree cells in 13 depth layers for December 1 based on Mg/Ca-derived BWT estimates from seventeen DSDP and ODP Sites and SST estimates from the PRISM2 reconstruction (Dowsett et al., 1999). DOT1 reflects a vaguely modern circulation system, assuming similar processes of deep-water formation; however, North Atlantic Deep Water (NADW) production is increased, and Antarctic Bottom Water (AABW) production is decreased. Pliocene NADW was approximately 2 degreesC warmer than modern temperatures, and Pliocene AABW was approximately 0.3 degreesC warmer than modern temperatures.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/ds189","usgsCitation":"Dowsett, H., Robinson, M., Dwyer, G., Chandler, M., and Cronin, T., 2006, PRISM3 DOT1 Atlantic Basin Reconstruction (Version 1.0): U.S. Geological Survey Data Series 189, Available online only, https://doi.org/10.3133/ds189.","productDescription":"Available online only","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192354,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8015,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/2006/189/","linkFileType":{"id":5,"text":"html"}},{"id":8016,"rank":9999,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/ds/2006/189/Atlantic_Grid_DOT1.xls"}],"projection":"GISS","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90,-88 ], [ -90,88 ], [ 30,88 ], [ 30,-88 ], [ -90,-88 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae4e4b07f02db689de2","contributors":{"authors":[{"text":"Dowsett, Harry","contributorId":6138,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","affiliations":[],"preferred":false,"id":287990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci","contributorId":100087,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","affiliations":[],"preferred":false,"id":287994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, Gary S.","contributorId":67642,"corporation":false,"usgs":true,"family":"Dwyer","given":"Gary S.","affiliations":[],"preferred":false,"id":287993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chandler, Mark","contributorId":17320,"corporation":false,"usgs":true,"family":"Chandler","given":"Mark","affiliations":[],"preferred":false,"id":287992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronin, Thomas","contributorId":12109,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","affiliations":[],"preferred":false,"id":287991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":76836,"text":"ofr20061101 - 2006 - User's Guide, software for reduction and analysis of daily weather and surface-water data: Tools for time series analysis of precipitation, temperature, and streamflow data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"ofr20061101","displayToPublicDate":"2006-06-20T00:00:00","publicationYear":"2006","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":"2006-1101","title":"User's Guide, software for reduction and analysis of daily weather and surface-water data: Tools for time series analysis of precipitation, temperature, and streamflow data","docAbstract":"The software described here is used to process and analyze daily weather and surface-water data. The programs are refinements of earlier versions that include minor corrections and routines to calculate frequencies above a threshold on an annual or seasonal basis. Earlier versions of this software were used successfully to analyze historical precipitation patterns of the Mojave Desert and the southern Colorado Plateau regions, ecosystem response to climate variation, and variation of sediment-runoff frequency related to climate (Hereford and others, 2003; 2004; in press; Griffiths and others, 2006). The main program described here (Day_Cli_Ann_v5.3) uses daily data to develop a time\r\nseries of various statistics for a user specified accounting period such as a year or season. The statistics include averages and totals, but the emphasis is on the frequency of occurrence in days of relatively rare weather or runoff events. These statistics are indices of climate variation; for a discussion of climate indices, see the Climate Research Unit website of the University of East Anglia (http://www.cru.uea.ac.uk/projects/stardex/) and the Climate Change Indices web site (http://cccma.seos.uvic.ca/ETCCDMI/indices.html). Specifically, the indices computed with this software are the frequency of high intensity 24-hour rainfall, unusually warm temperature, and unusually high runoff. These rare, or extreme events, are those greater than the 90th percentile of precipitation, streamflow, or temperature computed for the period of record of weather or gaging stations. If they cluster in time over several decades, extreme events may produce detectable change in the physical landscape and ecosystem of a given region. Although the software has been tested on a variety of data, as with any software, the user should carefully evaluate the results with their data. The programs were designed for the range of precipitation, temperature, and streamflow measurements expected in the semiarid Southwest United States. The user is encouraged to review the examples provided with the software. The software is written in Fortran 90 with Fortran 95 extensions and was compiled with the Digital Visual Fortran compiler version 6.6. The executables run on Windows 2000 and XP, and they operate in a MS-DOS console window that has only very simple graphical options such as font size and color, background color, and size of the window. Error trapping was not written into the programs. Typically, when an error occurs, the console window closes without a message.","language":"ENGLISH","doi":"10.3133/ofr20061101","usgsCitation":"Hereford, R., 2006, User's Guide, software for reduction and analysis of daily weather and surface-water data: Tools for time series analysis of precipitation, temperature, and streamflow data (Version 1.0): U.S. Geological Survey Open-File Report 2006-1101, iii, 11 p., https://doi.org/10.3133/ofr20061101.","productDescription":"iii, 11 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":194691,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8002,"rank":9999,"type":{"id":4,"text":"Application Site"},"url":"https://pubs.usgs.gov/of/2006/1101/of2006-1101_software.zip"},{"id":8003,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1101/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60401d","contributors":{"authors":[{"text":"Hereford, Richard 0000-0002-0892-7367 rhereford@usgs.gov","orcid":"https://orcid.org/0000-0002-0892-7367","contributorId":3620,"corporation":false,"usgs":true,"family":"Hereford","given":"Richard","email":"rhereford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":287987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76835,"text":"ofr20061084 - 2006 - Subsurface structure of the East Bay Plain ground-water basin: San Francisco Bay to the Hayward fault, Alameda County, California","interactions":[],"lastModifiedDate":"2023-04-04T21:46:44.495963","indexId":"ofr20061084","displayToPublicDate":"2006-06-20T00:00:00","publicationYear":"2006","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":"2006-1084","title":"Subsurface structure of the East Bay Plain ground-water basin: San Francisco Bay to the Hayward fault, Alameda County, California","docAbstract":"The area of California between the San Francisco Bay, San Pablo Bay, Santa Clara Valley, and the Diablo Ranges (East Bay Hills), commonly referred to as the 'East Bay', contains the East Bay Plain and Niles Cone ground-water basins. The area has a population of 1.46 million (2003 US Census), largely distributed among several cities, including Alameda, Berkeley, Fremont, Hayward, Newark, Oakland, San Leandro, San Lorenzo, and Union City. Major known tectonic structures in the East Bay area include the Hayward Fault and the Diablo Range to the east and a relatively deep sedimentary basin known as the San Leandro Basin beneath the eastern part of the bay. Known active faults, such as the Hayward, Calaveras, and San Andreas pose significant earthquake hazards to the region, and these and related faults also affect ground-water flow in the San Francisco Bay area. Because most of the valley comprising the San Francisco Bay area is covered by Holocene alluvium or water at the surface, our knowledge of the existence and locations of such faults, their potential hazards, and their effects on ground-water flow within the alluvial basins is incomplete.\r\n\r\nTo better understand the subsurface stratigraphy and structures and their effects on ground-water and earthquake hazards, the U.S. Geological Survey (USGS), in cooperation with the East Bay Municipal Utility District (EBMUD), acquired a series of high-resolution seismic reflection and refraction profiles across the East Bay Plain near San Leandro in June 2002. In this report, we present results of the seismic imaging investigations, with emphasis on ground water.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061084","usgsCitation":"Catchings, R.D., Borchers, J.W., Goldman, M.R., Gandhok, G., Ponce, D., and Steedman, C., 2006, Subsurface structure of the East Bay Plain ground-water basin: San Francisco Bay to the Hayward fault, Alameda County, California (Version 1.0): U.S. Geological Survey Open-File Report 2006-1084, Report: 45 p.; Image File Downloads, https://doi.org/10.3133/ofr20061084.","productDescription":"Report: 45 p.; Image File Downloads","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":415197,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76687.htm","linkFileType":{"id":5,"text":"html"}},{"id":191995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8014,"rank":3,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/of/2006/1084/figures","linkFileType":{"id":5,"text":"html"}},{"id":8000,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1084/","linkFileType":{"id":5,"text":"html"}},{"id":8001,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1084/version_history.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"California","county":"Alameda County","otherGeospatial":"East Bay Plain ground-water basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.1656,\n              37.7011\n            ],\n            [\n              -122.1656,\n              37.6683\n            ],\n            [\n              -122.1067,\n              37.6683\n            ],\n            [\n              -122.1067,\n              37.7011\n            ],\n            [\n              -122.1656,\n              37.7011\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699954","contributors":{"authors":[{"text":"Catchings, R. D.","contributorId":98738,"corporation":false,"usgs":true,"family":"Catchings","given":"R.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":287983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchers, J. W.","contributorId":74414,"corporation":false,"usgs":true,"family":"Borchers","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":287982,"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":287986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gandhok, G.","contributorId":47423,"corporation":false,"usgs":true,"family":"Gandhok","given":"G.","affiliations":[],"preferred":false,"id":287981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ponce, D. A. 0000-0003-4785-7354","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":104019,"corporation":false,"usgs":true,"family":"Ponce","given":"D. A.","affiliations":[],"preferred":false,"id":287984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steedman, C. E.","contributorId":105810,"corporation":false,"usgs":true,"family":"Steedman","given":"C. E.","affiliations":[],"preferred":false,"id":287985,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":76828,"text":"sir20065121 - 2006 - A method of Shaly sand correction for estimating gas hydrate saturations using downhole electrical resistivity log data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:24","indexId":"sir20065121","displayToPublicDate":"2006-06-19T00:00:00","publicationYear":"2006","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":"2006-5121","title":"A method of Shaly sand correction for estimating gas hydrate saturations using downhole electrical resistivity log data","docAbstract":"Estimation of the amount of nonconductive and conductive constituents in the pore space of sediments, using electrical resistivity logs, generally loses accuracy when clays are present in the reservoir. Many different methods and clay models have been proposed to account for the conductivity of clay (for example, the shaly sand correction). In this study, the Simandoux model is employed to correct for the clay effect in order to more accurately estimate gas hydrate saturations.\r\n\r\nThis study utilizes the fact that the effect of clay on the resistivity of a sediment is manifested in the Archie constants a and m, values of which are generally a = 1 and m = 2 for clean-sand reservoirs. Results of the study indicate that as the clay content increases, a also increases whereas m decreases. On the basis of the relationship between the Archie constants a and m with respect to the clay amount, a method of correcting for the clay effect on the estimation of water saturation is proposed. This method works well if the relationship between porosity and resistivity on a log-log plot is approximately linear and if accurate Archie constants a and m for clean sand are known. However, because of the linearity condition, it is difficult to apply the method to low-porosity reservoirs. Gas-hydrate-bearing sediments generally have high porosities because of their shallow depth of occurrence, so the method can be effectively applied in estimating gas hydrate saturations.","language":"ENGLISH","doi":"10.3133/sir20065121","usgsCitation":"Lee, M.W., and Collett, T.S., 2006, A method of Shaly sand correction for estimating gas hydrate saturations using downhole electrical resistivity log data (Version 1.0): U.S. Geological Survey Scientific Investigations Report 2006-5121, iii, 10 p., https://doi.org/10.3133/sir20065121.","productDescription":"iii, 10 p.","numberOfPages":"13","onlineOnly":"Y","costCenters":[],"links":[{"id":126728,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5121.jpg"},{"id":7995,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5121/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae078","contributors":{"authors":[{"text":"Lee, Myung W. mlee@usgs.gov","contributorId":779,"corporation":false,"usgs":true,"family":"Lee","given":"Myung","email":"mlee@usgs.gov","middleInitial":"W.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":287965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":287966,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76830,"text":"ofr20061171 - 2006 - Electrical resistivity surveys in Prospect Gulch, San Juan County, Colorado","interactions":[],"lastModifiedDate":"2012-02-02T00:14:00","indexId":"ofr20061171","displayToPublicDate":"2006-06-19T00:00:00","publicationYear":"2006","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":"2006-1171","title":"Electrical resistivity surveys in Prospect Gulch, San Juan County, Colorado","docAbstract":"Prospect Gulch is a major source of naturally occurring and mining related metals to Cement Creek, a tributary of the upper Animas River in southwestern Colorado. Efforts to improve water quality in the watershed have focused on Prospect Gulch because many of its abandoned mines and are located on federal lands. Information on sources and pathways of metals, and related ground-water flow, will be useful to help prioritize and develop remediation strategies. It has been shown that the occurrence of sulfate, aluminum, iron, zinc and other metals associated with historical mining and the natural weathering of pyritic rock is substantial. In this study, direct current resistivity surveys were conducted to determine the subsurface resistivity distribution and to identify faults and fractures that may act as ground-water conduits or barriers to flow. Five lines of resistivity data were collected in the vicinity of Prospect Gulch, and cross-section profiles were constructed from the field data using a two-dimensional inversion algorithm. The conductive anomalies in the profiles are most likely caused by wet or saturated rocks and sediments, clay rich deposits, or high TDS ground water. Resistive anomalies are likely bedrock, dry surficial and sub-surface deposits, or deposits of ferricrete.","language":"ENGLISH","doi":"10.3133/ofr20061171","usgsCitation":"McDougal, R., 2006, Electrical resistivity surveys in Prospect Gulch, San Juan County, Colorado (Version 1.0): U.S. Geological Survey Open-File Report 2006-1171, iii, 35 p., https://doi.org/10.3133/ofr20061171.","productDescription":"iii, 35 p.","numberOfPages":"38","onlineOnly":"Y","costCenters":[],"links":[{"id":192818,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7997,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1171/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db68820f","contributors":{"authors":[{"text":"McDougal, Robert R.","contributorId":53418,"corporation":false,"usgs":true,"family":"McDougal","given":"Robert R.","affiliations":[],"preferred":false,"id":287968,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76833,"text":"wri20034004 - 2006 - Usoi Dam wave overtopping and flood routing in the Bartang and Panj Rivers, Tajikistan","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"wri20034004","displayToPublicDate":"2006-06-19T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2003-4004","title":"Usoi Dam wave overtopping and flood routing in the Bartang and Panj Rivers, Tajikistan","docAbstract":"The Usoi dam was created in the winter of 1911 after an enormous seismogenic rock slide completely blocked the valley of the Bartang River in the Pamir Mountains of southeastern Tajikistan. At present the dam impounds 17 million cubic meters of water in Lake Sarez.\r\n\r\nFlood volume and discharge estimates were made for several landslide generated floods that could overtop the dam. For landslide volumes of 200, 500, and 1,000 million cubic meters, estimated overtopping flood volumes were 2, 22, and 87 million cubic meters of water, respectively. Estimated peak discharge at the dam for these three flood scenarios were 57,000, 490,000, and 1,580,000 cubic meters per second, based on triangular hydrographs of 70-, 90-, and 110-second durations, respectively.\r\n\r\nFlood-routing simulations were made for the three landslide-induced overtopping floods over a 530-kilometer reach of the Bartang and Panj Rivers below the Usoi dam. A one-dimensional flow model using a Riemann numerical solution technique was selected for the study. A constant 50-meter wide rectangular channel, which represented the mean channel width, was used for the entire reach. A roughness coefficient of 0.038, appropriate for steep mountainous streams, also was used for the entire reach.\r\n\r\nFor the 87 million cubic meter volume overtopping flood scenario, the peak flows were approximately 1,100, 800, and 550 cubic meters per second at locations 50, 100, and 150 kilometers downstream of the dam, respectively.\r\n\r\nThe model was also used to simulate the less likely scenario of an instantaneous dam breach and draining of the total volume of the lake. Simulated peak flows were approximately 64,000, 52,000, 40,000, and 20,000 cubic meters per second at locations 50, 100, 150, and 530 kilometers downstream of the Usoi dam.","language":"ENGLISH","doi":"10.3133/wri20034004","usgsCitation":"Risley, J., Walder, J., and Denlinger, R., 2006, Usoi Dam wave overtopping and flood routing in the Bartang and Panj Rivers, Tajikistan: U.S. Geological Survey Water-Resources Investigations Report 2003-4004, vi, 29 p., https://doi.org/10.3133/wri20034004.","productDescription":"vi, 29 p.","numberOfPages":"35","onlineOnly":"Y","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":191078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8139,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri03-4004/","linkFileType":{"id":5,"text":"html"}}],"scale":"0","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 69,37.833333333333336 ], [ 69,39 ], [ 74,39 ], [ 74,37.833333333333336 ], [ 69,37.833333333333336 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a0e4b07f02db5bdc1a","contributors":{"authors":[{"text":"Risley, John","contributorId":38128,"corporation":false,"usgs":true,"family":"Risley","given":"John","affiliations":[],"preferred":false,"id":287973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walder, Joseph","contributorId":33795,"corporation":false,"usgs":true,"family":"Walder","given":"Joseph","affiliations":[],"preferred":false,"id":287972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Denlinger, Roger","contributorId":42663,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","affiliations":[],"preferred":false,"id":287974,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76834,"text":"pp1722 - 2006 - Nutrient concentrations and their relations to the biotic integrity of wadeable streams in Wisconsin","interactions":[],"lastModifiedDate":"2018-02-06T12:30:56","indexId":"pp1722","displayToPublicDate":"2006-06-19T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1722","title":"Nutrient concentrations and their relations to the biotic integrity of wadeable streams in Wisconsin","docAbstract":"Excessive nutrient (phosphorus and nitrogen) loss from watersheds is frequently associated with degraded water quality in streams. To reduce this loss, agricultural performance standards and regulations for croplands and livestock operations are being proposed by various States. In addition, the U.S. Environmental Protection Agency is establishing regionally based nutrient criteria that can be refined by each State to determine whether actions are needed to improve a stream's water quality. More confidence in the environmental benefits of the proposed performance standards and nutrient criteria will be possible with a better understanding of the biotic responses to a range of nutrient concentrations in different environmental settings.\r\n\r\nThe U.S. Geological Survey and the Wisconsin Department of Natural Resources collected data from 240 wadeable streams throughout Wisconsin to: 1) describe how nutrient concentrations and biotic-community structure vary throughout the State; 2) determine which environmental characteristics are most strongly related to the distribution of nutrient concentrations; 3) determine reference water-quality and biotic conditions for different areas of the State; 4) determine how the biotic community of streams in different areas of the State respond to changes in nutrient concentrations; 5) determine the best regionalization scheme to describe the patterns in reference conditions and the responses in water quality and the biotic community; and 6) develop new indices to estimate nutrient concentrations in streams from a combination of biotic indices. The ultimate goal of this study is to provide the information needed to guide the development of regionally based nutrient criteria for Wisconsin streams.\r\n\r\nFor total nitrogen (N) and suspended chlorophyll (SCHL) concentrations and water clarity, regional variability in reference conditions and in the responses in water quality to changes in land use are best described by subdividing wadeable streams into two categories: streams in areas with high clay-content soils (Environmental Phosphorus Zone 3, EPZ 3) and streams throughout the rest of the State. The regional variability in the response in total phosphorus (P) concentrations is also best described by subdividing the streams into these two categories; however, little consistent variability was found in reference P concentrations in streams throughout the State.\r\n\r\nReference P concentrations are smilar throughout the State (0.03-0.04 mg/L). Reference N concentrations are divided into two categories: 0.6-0.7 mg/L in all streams except those in areas with high clay-content soils, where 0.4 mg/L is more appropriate. Reference SCHL concentrations are divided into two categories: 1.2-1.7 ?g/L in all streams except those in areas with high clay-content soils, where 1.0 ?g/L may be more appropriate. Reference water clarity is divided into two categories: streams in areas with high clay-content soils with a lower reference water clarity (Secchi tube depth, SD, of about 110 cm) and streams throughout the rest of the State (SD greater than or equal to about 115 cm). For each category of the biotic community (SCHL and benthic chlorophyll a concentrations (BCHL), periphytic diatoms, macroinvertebrates, and fish), a few biotic indices were more related to differences in nutrient concentrations than were others. For each of the indices more strongly related to nutrient concentrations, reference conditions were obtained by determining values corresponding to the worst 75th percentile value from a subset of minimally impacted streams (streams having reference nutrient concentrations).\r\n\r\nBy examining the biotic community in streams having either reference P or N concentrations but not both, the relative importance of these two nutrients was determined. For SCHL, P was the more important limiting nutrient; however, for BCHL and all macroinvertebrate indices, it appears that N was the more important nutrient when concent","language":"ENGLISH","doi":"10.3133/pp1722","isbn":"1411309758","usgsCitation":"Robertson, D.M., Graczyk, D., Garrison, P.J., Wang, L., LaLiberte, G., and Bannerman, R., 2006, Nutrient concentrations and their relations to the biotic integrity of wadeable streams in Wisconsin: U.S. Geological Survey Professional Paper 1722, xiv, 139 p. : col. ill., col. maps ; 28 cm., https://doi.org/10.3133/pp1722.","productDescription":"xiv, 139 p. : col. ill., col. maps ; 28 cm.","numberOfPages":"153","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":190545,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8557,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/pp1722/","linkFileType":{"id":5,"text":"html"}},{"id":8558,"rank":9999,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/pp1722/appendixes/app.html","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afce4b07f02db69678e","contributors":{"authors":[{"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":287975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graczyk, David J.","contributorId":107265,"corporation":false,"usgs":true,"family":"Graczyk","given":"David J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":287980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrison, Paul J.","contributorId":73193,"corporation":false,"usgs":true,"family":"Garrison","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":287979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Lizhu","contributorId":44888,"corporation":false,"usgs":true,"family":"Wang","given":"Lizhu","affiliations":[],"preferred":false,"id":287977,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaLiberte, Gina","contributorId":9355,"corporation":false,"usgs":true,"family":"LaLiberte","given":"Gina","email":"","affiliations":[],"preferred":false,"id":287976,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bannerman, Roger","contributorId":45786,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","affiliations":[],"preferred":false,"id":287978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":76822,"text":"ds69E_chapter4 - 2006 - Chapter 4. Executive Summary-2002 assessment of undiscovered oil and gas resources of the Cretaceous Travis Peak and Hosston formations, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","interactions":[{"subject":{"id":76822,"text":"ds69E_chapter4 - 2006 - Chapter 4. Executive Summary-2002 assessment of undiscovered oil and gas resources of the Cretaceous Travis Peak and Hosston formations, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","indexId":"ds69E_chapter4","publicationYear":"2006","noYear":false,"title":"Chapter 4. Executive Summary-2002 assessment of undiscovered oil and gas resources of the Cretaceous Travis Peak and Hosston formations, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces"},"predicate":"IS_PART_OF","object":{"id":76817,"text":"ds69E - 2006 - Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region","indexId":"ds69E","publicationYear":"2006","noYear":false,"chapter":"E","title":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region"},"id":1}],"isPartOf":{"id":76817,"text":"ds69E - 2006 - Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region","indexId":"ds69E","publicationYear":"2006","noYear":false,"title":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region"},"lastModifiedDate":"2023-07-07T21:21:42.602488","indexId":"ds69E_chapter4","displayToPublicDate":"2006-06-14T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69-E-4","title":"Chapter 4. Executive Summary-2002 assessment of undiscovered oil and gas resources of the Cretaceous Travis Peak and Hosston formations, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley group and Travis Peak-Hosston Formations, East Texas basin and Louisiana-Mississippi Salt Basins Provinces of the northern Gulf Coast region (Data Series 69-E)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69E_chapter4","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2006, Chapter 4. Executive Summary-2002 assessment of undiscovered oil and gas resources of the Cretaceous Travis Peak and Hosston formations, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces: U.S. Geological Survey Data Series 69-E-4, 6 p., https://doi.org/10.3133/ds69E_chapter4.","productDescription":"6 p.","numberOfPages":"6","additionalOnlineFiles":"Y","costCenters":[{"id":329,"text":"Gulf Coast Region Assessment Team","active":false,"usgs":true},{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":194690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7983,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/REPORTS/69_E_CH_4.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7984,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","linkFileType":{"id":5,"text":"html"}},{"id":418781,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76636.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Arkansas. Florida, Georgia, Louisiana, Mississippi, Oklahoma, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.0,\n              29.6667\n            ],\n            [\n              -85.0,\n              29.6667\n            ],\n            [\n              -85.0,\n              34.33\n            ],\n            [\n              -97.0,\n              34.33\n            ],\n            [\n              -97.0,\n              29.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e479de4b07f02db491f72","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":534791,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76813,"text":"fs20063086 - 2006 - Georgia's Stream-Water-Quality Monitoring Network, 2006","interactions":[],"lastModifiedDate":"2018-10-22T19:00:02","indexId":"fs20063086","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"2006-3086","title":"Georgia's Stream-Water-Quality Monitoring Network, 2006","docAbstract":"The USGS stream-water-quality monitoring network for Georgia is an aggregation of smaller networks and individual monitoring stations that have been established in cooperation with Federal, State, and local agencies. These networks collectively provide data from 130 sites, 62 of which are monitored continuously in real time using specialized equipment that transmits these data via satellite to a centralized location for processing and storage. These data are made available on the Web in near real time at http://waterdata.usgs.gov/ga/nwis/ \r\n\r\nNinety-eight stations are sampled periodically for a more extensive suite of chemical and biological constituents that require laboratory analysis. Both the continuous and the periodic water-quality data are archived and maintained in the USGS National Water Information System and are available to cooperators, water-resource managers, and the public.\r\n\r\nThe map at right shows the USGS stream-water-quality monitoring network for Georgia and major watersheds. 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,{"id":76811,"text":"fs20063082 - 2006 - Georgia Water-Use Program, 2006","interactions":[],"lastModifiedDate":"2018-10-22T19:01:33","indexId":"fs20063082","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"2006-3082","title":"Georgia Water-Use Program, 2006","docAbstract":"The Georgia Water-Use Program was initiated during 1979, as a cooperative effort between the U.S. Geological Survey (USGS) and the Georgia Environmental Protection Division (GaEPD). This ongoing program focuses on collecting, compiling, and disseminating water-use information for the State (Fanning, 2003). These data are stored in a central database, which is maintained by the USGS. 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,{"id":76810,"text":"sir20055283 - 2006 - Development and application of a screening model for simulating regional ground-water flow in the St. Croix River basin, Minnesota and Wisconsin","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"sir20055283","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"2005-5283","title":"Development and application of a screening model for simulating regional ground-water flow in the St. Croix River basin, Minnesota and Wisconsin","docAbstract":"A series of databases and an accompanying screening model were constructed by the U.S. Geological Survey, in cooperation with the National Park Service, to better understand the regional ground-water-flow system and its relation to stream drainage in the St. Croix River Basin. The St. Croix River and its tributaries drain about 8,000 square miles in northeastern Minnesota and northwestern Wisconsin. The databases contain information for the entire St. Croix River Basin pertaining to well logs, lithology, thickness of lithologic groups, ground-water levels, streamflow, and well pumpage. Maps and generalized cross sections created from the compiled data show the lithologic groups, extending from the water table to the crystalline bedrock, through which ground water flows. These lithologic groups are: fine-grained unconsolidated deposits; coarse-grained unconsolidated deposits; sandstone bedrock; carbonate bedrock; and other bedrock lithologies including shale, siltstone, conglomerate, and igneous intrusions.\r\n\r\nThe steady-state screening model treats the ground-water-flow system as a single layer with transmissivity zones that reflect the distribution of lithologic groups, and with recharge zones that correspond to general areas of high or low evapotranspiration. The model includes representation of second- and higher-order streams and municipal and other high-capacity production wells. The analytic-element model code GFLOW was used to simulate the regional ground-water flow, the water-table surface across the St. Croix River Basin, and base-flow contributions from ground water to streams. In addition, the model routes tributary base flow through the stream network to the St. Croix River. The parameter-estimation inverse model UCODE was linked to the GFLOW model to select the combination of parameter values best able to match over 5,000 water-level measurements and base-flow estimates at 22 streamflow-gaging stations. Results from the calibrated screening model show ground-water contributing areas for selected stream reaches within the basin. The delineation of these areas is useful to water-resource managers concerned with protection of fisheries and other resources. The model results also identify the areas of the basin where ground-water travel time from the water table to streams and wells is relatively short (less than 50 years). Ninety percent of the simulated ground-water pathlines require travel times between 3 and 260 years. The median pathline distance traversed and the median pathline velocity were 1.7 mi and 177 ft/y, respectively.\r\n\r\nIt is important to recognize the limitations of this screening model. Heterogeneities in subsurface properties and in recharge rates are considered only at a very broad scale (miles to tens of miles). No account is taken of vertical variations in properties or pumping rates, and no provision is made to account for stacked ground-water-flow systems that have different flow patterns at different depths. Small-scale (hundreds to thousands of feet) flow systems associated with minor water bodies are neglected, and as a result, the model is not useful for simulating typical site-specific problems. Despite its limitations, the model serves as a framework for understanding the regional pattern of ground-water flow and as a starting point for a generation of more targeted and detailed ground-water models that would be needed to address emerging water-supply and water-quality concerns in the St. Croix River Basin. ","language":"ENGLISH","doi":"10.3133/sir20055283","usgsCitation":"Feinstein, D.T., Buchwald, C.A., Dunning, C., and Hunt, R.J., 2006, Development and application of a screening model for simulating regional ground-water flow in the St. Croix River basin, Minnesota and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2005-5283, vi, 41 p., https://doi.org/10.3133/sir20055283.","productDescription":"vi, 41 p.","numberOfPages":"47","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":192465,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7957,"rank":9999,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2005/5283/pdf/SIR2005-5283_Appendixes.zip"},{"id":7959,"rank":9999,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2005/5283/pdf/README.txt","linkFileType":{"id":2,"text":"txt"}},{"id":7958,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5283/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6672c1","contributors":{"authors":[{"text":"Feinstein, Daniel T. 0000-0003-1151-2530 dtfeinst@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-2530","contributorId":1907,"corporation":false,"usgs":true,"family":"Feinstein","given":"Daniel","email":"dtfeinst@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchwald, Cheryl A. 0000-0001-8968-5023 cabuchwa@usgs.gov","orcid":"https://orcid.org/0000-0001-8968-5023","contributorId":1943,"corporation":false,"usgs":true,"family":"Buchwald","given":"Cheryl","email":"cabuchwa@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunning, Charles P. cdunning@usgs.gov","contributorId":892,"corporation":false,"usgs":true,"family":"Dunning","given":"Charles P.","email":"cdunning@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":287937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287938,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":76809,"text":"sir20065099 - 2006 - Characterization of surface-water resources in the Great Basin National Park area and their susceptibility to ground-water withdrawals in adjacent valleys, White Pine County, Nevada","interactions":[],"lastModifiedDate":"2013-06-04T13:09:16","indexId":"sir20065099","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"2006-5099","title":"Characterization of surface-water resources in the Great Basin National Park area and their susceptibility to ground-water withdrawals in adjacent valleys, White Pine County, Nevada","docAbstract":"Eight drainage basins and one spring within the Great Basin National Park area were monitored continually from October 2002 to September 2004 to quantify stream discharge and assess the natural variability in flow. Mean annual discharge for the stream drainages ranged from 0 cubic feet per second at Decathon Canyon to 9.08 cubic feet per second at Baker Creek. Seasonal variability in streamflow generally was uniform throughout the network. Minimum and maximum mean monthly discharges occurred in February and June, respectively, at all but one of the perennial streamflow sites. Synoptic-discharge, specific-conductance, and water- and air-temperature measurements were collected during the spring, summer, and autumn of 2003 along selected reaches of Strawberry, Shingle, Lehman, Baker, and Snake Creeks, and Big Wash to determine areas where surface-water resources would be susceptible to ground-water withdrawals in adjacent valleys. Comparison of streamflow and water-property data to the geology along each stream indicated areas where surface-water resources likely or potentially would be susceptible to ground-water withdrawals. These areas consist of reaches where streams (1) are in contact with permeable rocks or sediments, or (2) receive water from either spring discharge or ground-water inflow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065099","usgsCitation":"Elliott, P.E., Beck, D.A., and Prudic, D.E., 2006, Characterization of surface-water resources in the Great Basin National Park area and their susceptibility to ground-water withdrawals in adjacent valleys, White Pine County, Nevada: U.S. Geological Survey Scientific Investigations Report 2006-5099, vi, 157 p., https://doi.org/10.3133/sir20065099.","productDescription":"vi, 157 p.","numberOfPages":"163","costCenters":[],"links":[{"id":191147,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7954,"rank":400,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2006/5099/pdf/sir20065099_plate.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7956,"rank":9999,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2006/5099/pdf/sir20065099_appB.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7955,"rank":9999,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2006/5099/pdf/sir20065099_appA.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7953,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5099/","linkFileType":{"id":5,"text":"html"}},{"id":273222,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds583_gb_sw_areas.xml"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4d29","contributors":{"authors":[{"text":"Elliott, Peggy E. 0000-0002-7264-664X pelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-7264-664X","contributorId":3805,"corporation":false,"usgs":true,"family":"Elliott","given":"Peggy","email":"pelliott@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":287935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, David A.","contributorId":102874,"corporation":false,"usgs":true,"family":"Beck","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":287936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prudic, David E. deprudic@usgs.gov","contributorId":3430,"corporation":false,"usgs":true,"family":"Prudic","given":"David","email":"deprudic@usgs.gov","middleInitial":"E.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287934,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76808,"text":"ds167 - 2006 - Ground-water quality data in the north San Francisco Bay hydrologic provinces, California, 2004: Results from the California Ground-water Ambient Monitoring and Assessment (GAMA) program","interactions":[],"lastModifiedDate":"2022-08-09T20:26:58.409399","indexId":"ds167","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"167","title":"Ground-water quality data in the north San Francisco Bay hydrologic provinces, California, 2004: Results from the California Ground-water Ambient Monitoring and Assessment (GAMA) program","docAbstract":"Ground-water quality in the ~1,000 square-mile (mi2) North San Francisco Bay study unit was investigated from August to November, 2004, as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) program. Samples were collected from 89 public-supply wells, 7 hydrothermal wells, and 1 hydrothermal spring in Napa, Sonoma and Marin Counties. Eighty-four of the public-supply wells sampled were selected to provide a spatially distributed, randomized monitoring network for statistical calculations and constituent detection frequency. The study was designed to provide a spatially-unbiased assessment of raw ground-water quality within the study unit, as well as a statistically-consistent basis for comparing the water quality of different study units.\nGround-water samples were analyzed for major and minor ions, trace elements, nutrients, volatile organic compounds, pesticides and pesticide degradates, waste-water indicators, dissolved methane, nitrogen, carbon dioxide and noble gases (in collaboration with Lawrence Livermore National Laboratory). Naturally occurring isotopes (tritium, carbon-14, oxygen-18, deuterium and helium-4) also were measured in the samples to help identify the source and age of the ground water. Results show that no anthropogenic constituents were detected at concentrations higher than those levels set for regulatory purposes, and relatively few naturally-occurring constituents were detected at concentrations greater than regulatory levels. In this study, 21 of the 88 volatile organic compounds (VOCs) and gasoline additives and (or) oxygenates investigated were detected in ground-water samples, however, detected concentrations were one-half to one-forty-thousandth the maximum contaminant levels (MCL). Thirty-two percent of the randomized wells sampled had at least a single detection of a VOC or gasoline additive and (or) oxygenate. The most frequently detected compounds were chloroform, found in 12 of the 84 randomized wells; carbon disulfide, found in 8 of the 84 randomized wells; and toluene, found in 4 of the 84 randomized wells. Trihalomethanes were the most frequently detected class of VOCs. Nine of the 122 pesticides and (or) pesticide degradates investigated were detected in ground-water samples, however, concentrations were one-seventieth to one-eight-hundredth the MCLs. Seventeen percent of the randomized wells sampled had at least a single detection of pesticide and pesticide degradate. Herbicides were the most frequently detected class of pesticides. The most frequently detected compound was simazine, found in 8 of the 84 of the randomized wells. Chlordiamino-s-triazine and deisopropyl atrazine were both found in 2 of the 84 randomized wells sampled. Thirteen out of 63 compounds that may be indicative of the prescence of waste-water were detected in ground-water samples. Twenty-six percent of the randomized wells sampled for waste-water indicators had at least one detection. Isophorone was the most frequently detected in 6 of the 84 randomized wells. Bisphenol-A, caffeine, and indole each were detected in 3 of the 84 randomized wells. Major and minor ions and dissolved solids (DS) samples were collected at 33 public-supply wells; 3 samples had DS concentrations above the secondary maximum contaminant level (SMCL) of 500 mg/L. Ground-water samples from 32 public-supply wells were analyzed for trace elements. Arsenic concentrations above the MCL of 10 μg/L were measured at 4 public-supply wells, boron concentrations above the detection level for the purpose of reporting (DLR) of 100 μg/L were measured at 19 wells. Iron concentrations above the SMCL of 300 μg/L were measured at 7 wells, a lead concentration above the California notification level (NL) of 15 μg/L at one well, and manganese concentrations above the SMCL of 50 μg/L were measured at 17 wells. Vanadium concentrations above the DLR of 3 μg/L were measured at 9 public-supply wells; and chromium(VI) concentrations above the DLR of 1 μg/L were measured at 48 public-supply wells. Major and minor ions and dissolved solids (DS) samples were collected at 33 public-supply wells; 3 samples had DS concentrations above the secondary maximum contaminant level (SMCL) of 500 mg/L. Ground-water samples from 32 public-supply wells were analyzed for trace elements. Arsenic concentrations above the MCL of 10 μg/L were measured at 4 public-supply wells, boron concentrations above the detection level for the purpose of reporting (DLR) of 100 μg/L were measured at 19 wells. Iron concentrations above the SMCL of 300 μg/L were measured at 7 wells, a lead concentration above the California notification level (NL) of 15 μg/L at one well, and manganese concentrations above the SMCL of 50 μg/L were measured at 17 wells. Vanadium concentrations above the DLR of 3 μg/L were measured at 9 public-supply wells; and chromium(VI) concentrations above the DLR of 1 μg/L were measured at 48 public-supply wells. Microbial constituents were analyzed in 22 ground-water samples. Total coliform was detected in three wells. Counts ranged from 2 colonies per 100 mL to 20 colonies per 100 mL. MCLs for microbial constituents are based on reoccurring detection, and will be monitored during future sampling.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds167","usgsCitation":"Kulongoski, J., Belitz, K., and Dawson, B.J., 2006, Ground-water quality data in the north San Francisco Bay hydrologic provinces, California, 2004: Results from the California Ground-water Ambient Monitoring and Assessment (GAMA) program (Originally posted June 2006; Revised September 13, 2013): U.S. Geological Survey Data Series 167, x, 100 p., https://doi.org/10.3133/ds167.","productDescription":"x, 100 p.","numberOfPages":"110","temporalStart":"2004-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":192464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7952,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/ds167/","linkFileType":{"id":5,"text":"html"}},{"id":405048,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76632.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.958984375,\n              38.017803980061124\n            ],\n            [\n              -122.08007812499999,\n              38.017803980061124\n            ],\n            [\n              -122.08007812499999,\n              38.634036452919226\n            ],\n            [\n              -122.958984375,\n              38.634036452919226\n            ],\n            [\n              -122.958984375,\n              38.017803980061124\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Originally posted June 2006; Revised September 13, 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6672bd","contributors":{"authors":[{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":287933,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":287931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Barbara J. 0000-0002-0209-8158 bjdawson@usgs.gov","orcid":"https://orcid.org/0000-0002-0209-8158","contributorId":1102,"corporation":false,"usgs":true,"family":"Dawson","given":"Barbara","email":"bjdawson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":287932,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76815,"text":"fs20063077 - 2006 - Georgia's Ground-Water Resources and Monitoring Network, 2006","interactions":[],"lastModifiedDate":"2018-10-22T18:59:24","indexId":"fs20063077","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"2006-3077","title":"Georgia's Ground-Water Resources and Monitoring Network, 2006","docAbstract":"The U.S. Geological Survey (USGS) ground-water network for Georgia currently consists of 170 wells in which ground-water levels are continuously monitored. Most of the wells are locatedin the Coastal Plain in the southern part of the State where ground-water pumping stress is high. In particular, there are large concentrations of wells in coastal and southwestern Georgia areas, where there are issues related to ground-water pumping, saltwater intrusion along the coast, and diminished streamflow in southwestern Georgia due to irrigation pumping.\r\n\r\nThe map at right shows the USGS ground-water monitoring network for Georgia. Ground-water levels are monitored in 170  wells statewide, of which 19 transmit data in real time via satellite and posted on the World Wide Web at http://waterdata.usgs.gov/ga/nwis/current/?type=gw  . A greater concentration of wells occurs in the Coastal Plain where there are several layers of aquifers and in coastal and southwestern Georgia areas, which are areas with specific ground-water issues.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063077","usgsCitation":"2006, Georgia's Ground-Water Resources and Monitoring Network, 2006: U.S. Geological Survey Fact Sheet 2006-3077, 2 p., https://doi.org/10.3133/fs20063077.","productDescription":"2 p.","numberOfPages":"2","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":124944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3077.jpg"},{"id":7971,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3077/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b34e","contributors":{"editors":[{"text":"Nobles, Patricia L.","contributorId":78025,"corporation":false,"usgs":true,"family":"Nobles","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":749290,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":76812,"text":"fs20063084 - 2006 - Georgia's Surface-Water Resources and Streamflow Monitoring Network, 2006","interactions":[],"lastModifiedDate":"2018-10-22T19:00:41","indexId":"fs20063084","displayToPublicDate":"2006-06-12T00:00:00","publicationYear":"2006","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":"2006-3084","title":"Georgia's Surface-Water Resources and Streamflow Monitoring Network, 2006","docAbstract":"The U.S. Geological Survey (USGS) network of 223 real-time monitoring stations, the 'Georgia HydroWatch,' provides real-time water-stage data, with streamflow computed at 198 locations, and rainfall recorded at 187 stations. These sites continuously record data on 15-minute intervals and transmit the data via satellite to be incorporated into the USGS National Water Information System database. These data are automatically posted to the USGS Web site for public dissemination (http://waterdata.usgs.gov/ga/nwis/nwis). The real-time capability of this network provides information to help emergency-management officials protect human life and property during floods, and mitigate the effects of prolonged drought.\r\n\r\nThe map at right shows the USGS streamflow monitoring network for Georgia and major watersheds. Streamflow is monitored at 198 sites statewide, more than 80 percent of which include precipitation gages. Various Federal, State, and local agencies fund these streamflow monitoring stations.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063084","usgsCitation":"2006, Georgia's Surface-Water Resources and Streamflow Monitoring Network, 2006: U.S. Geological Survey Fact Sheet 2006-3084, 2 p., https://doi.org/10.3133/fs20063084.","productDescription":"2 p.","numberOfPages":"2","temporalStart":"2006-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":124889,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3084.jpg"},{"id":7968,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3084/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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,{"id":76819,"text":"ds69E_chapter2 - 2006 - Chapter 2. Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","interactions":[{"subject":{"id":76819,"text":"ds69E_chapter2 - 2006 - Chapter 2. Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","indexId":"ds69E_chapter2","publicationYear":"2006","noYear":false,"title":"Chapter 2. Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces"},"predicate":"IS_PART_OF","object":{"id":76817,"text":"ds69E - 2006 - Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region","indexId":"ds69E","publicationYear":"2006","noYear":false,"chapter":"E","title":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region"},"id":1}],"isPartOf":{"id":76817,"text":"ds69E - 2006 - Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region","indexId":"ds69E","publicationYear":"2006","noYear":false,"title":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley Group and Travis Peak-Hosston Formations, East Texas Basin and Louisiana-Mississippi Salt Basins Provinces of the Northern Gulf Coast Region"},"lastModifiedDate":"2023-07-07T21:24:54.143746","indexId":"ds69E_chapter2","displayToPublicDate":"2006-06-11T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"69-E-2","title":"Chapter 2. Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","docAbstract":"The Jurassic Smackover Interior Salt Basins Total Petroleum System is defined for this assessment to include (1) Upper Jurassic Smackover Formation carbonates and calcareous shales and (2) Upper Jurassic and Lower Cretaceous Cotton Valley Group organic-rich shales. The Jurassic Smackover Interior Salt Basins Total Petroleum System includes four conventional Cotton Valley assessment units: Cotton Valley Blanket Sandstone Gas (AU 50490201), Cotton Valley Massive Sandstone Gas (AU 50490202), Cotton Valley Updip Oil and Gas (AU 50490203), and Cotton Valley Hypothetical Updip Oil (AU 50490204). Together, these four assessment units are estimated to contain a mean undiscovered conventional resource of 29.81 million barrels of oil, 605.03 billion cubic feet of gas, and 19.00 million barrels of natural gas liquids.\n\nThe Cotton Valley Group represents the first major influx of clastic sediment into the ancestral Gulf of Mexico. Major depocenters were located in south-central Mississippi, along the Louisiana-Mississippi border, and in northeast Texas. Reservoir properties and production characteristics were used to identify two Cotton Valley Group sandstone trends across northern Louisiana and east Texas: a high-permeability blanket-sandstone trend and a downdip, low-permeability massive-sandstone trend. Pressure gradients throughout most of both trends are normal, which is characteristic of conventional rather than continuous basin-center gas accumulations. Indications that accumulations in this trend are conventional rather than continuous include (1) gas-water contacts in at least seven fields across the blanket-sandstone trend, (2) relatively high reservoir permeabilities, and (3) high gas-production rates without fracture stimulation. Permeability is sufficiently low in the massive-sandstone trend that gas-water transition zones are vertically extensive and gas-water contacts are poorly defined. The interpreted presence of gas-water contacts within the Cotton Valley massive-sandstone trend, however, suggests that accumulations in this trend are also conventional.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley group and Travis Peak-Hosston Formations, East Texas basin and Louisiana-Mississippi Salt Basins Provinces of the northern Gulf Coast region (Data Series 69-E)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69E_chapter2","usgsCitation":"Dyman, T.S., and Condon, S.M., 2006, Chapter 2. Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces: U.S. Geological Survey Data Series 69-E-2, 52 p., https://doi.org/10.3133/ds69E_chapter2.","productDescription":"52 p.","numberOfPages":"52","additionalOnlineFiles":"Y","costCenters":[{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":192325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7977,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/REPORTS/69_E_CH_2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7978,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","linkFileType":{"id":5,"text":"html"}},{"id":418778,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76636.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Arkansas. Florida, Georgia, Louisiana, Mississippi, Oklahoma, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.0,\n              29.6667\n            ],\n            [\n              -85.0,\n              29.6667\n            ],\n            [\n              -85.0,\n              34.33\n            ],\n            [\n              -97.0,\n              34.33\n            ],\n            [\n              -97.0,\n              29.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6671b0","contributors":{"authors":[{"text":"Dyman, T. S.","contributorId":21161,"corporation":false,"usgs":false,"family":"Dyman","given":"T.","middleInitial":"S.","affiliations":[],"preferred":false,"id":287954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condon, S. M.","contributorId":107688,"corporation":false,"usgs":true,"family":"Condon","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287955,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76799,"text":"sir20065050 - 2006 - Vulnerability of recently recharged ground water in the High Plains aquifer to nitrate contamination","interactions":[],"lastModifiedDate":"2012-03-02T17:16:06","indexId":"sir20065050","displayToPublicDate":"2006-06-09T00:00:00","publicationYear":"2006","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":"2006-5050","title":"Vulnerability of recently recharged ground water in the High Plains aquifer to nitrate contamination","docAbstract":"Nitrate concentrations greater than background levels have been detected in ground water of the High Plains aquifer. Empirically based models and corresponding maps were developed that predict the vulnerability of the aquifer to nonpoint-source nitrate contamination. The models predict the probability of detecting nitrate concentrations larger than 4 milligrams per liter in ground water of the High Plains aquifer that was recharged during the last 50 years. The models were calibrated by correlating concentrations of nitrate in ground water from 336 wells that intercept recently recharged (less than 50 years) water with anthropogenic and hydrogeologic explanatory variables. Particle-tracking simulations delineated well-contributing areas and determined well-screen depths that intercept recently recharged ground water. The models were developed using multivariate logistic regression, and a map was generated from these models using a geographic information system. Two multivariate logistic regression models of vulnerability were found to have the most statistical significance and the best model fit and predictive ability. The two models represent the Northern High Plains and the combined Central and Southern High Plains, and they indicate that ground-water vulnerability of the entire High Plains aquifer is best explained by the spatial distribution of nonirrigated and irrigated agricultural lands, organic matter of the soil, depth to the regional water table, and clay content of the unsaturated zone. Vulnerability of the Northern High Plains is greater in areas that have more nonirrigated and irrigated agricultural lands and less organic matter in the soil. The vulnerability of the Central and Southern High Plains also is greater in areas that have more nonirrigated and irrigated agricultural lands and also in areas with shallow depths to water table and less clay in the unsaturated zone. The majority (53.3 percent) of the High Plains aquifer has less than a 40-percent predicted probability of nitrate concentrations larger than 4 milligrams per liter. Approximately 21.1 percent of the High Plains aquifer has a relatively high (greater than 60 percent) predicted probability of nitrate concentrations greater than or equal to 4 milligrams per liter. Areas with relatively high predicted probability are located in the southwestern, southern, and eastern areas of the Northern High Plains, in the eastern arm of the Central High Plains, and in southern areas of the Southern High Plains. Areas of the aquifer with relatively low (less than 40 percent) predicted vulnerability to nitrate concentrations greater than or equal to 4 milligrams per liter are located in the northwestern and north-central areas of the Northern High Plains, the central and southern areas of the Central High Plains, and a band across the north-central part of the Southern High Plains. Uncertainty of these vulnerability predictions was estimated by Latin hypercube sampling to address propagation of model and data errors inherently associated with estimates of model coefficients and explanatory variables. Results of the Latin hypercube sampling simulations are presented as uncertainty maps of the lower 5th and upper 95th percentile of the output probability distribution, which represents the 90-percent prediction interval that contains the true probability of detecting nitrate greater than or equal to 4 milligrams per liter. Generally, these uncertainty maps show greater prediction uncertainty in areas with relatively higher predicted vulnerability and lower uncertainty in areas with relatively lower predicted vulnerability.","language":"ENGLISH","doi":"10.3133/sir20065050","usgsCitation":"Gurdak, J., and Qi, S.L., 2006, Vulnerability of recently recharged ground water in the High Plains aquifer to nitrate contamination: U.S. Geological Survey Scientific Investigations Report 2006-5050, vi, 39 p., https://doi.org/10.3133/sir20065050.","productDescription":"vi, 39 p.","numberOfPages":"45","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":337,"text":"High Plains Ground Water Program","active":false,"usgs":true}],"links":[{"id":124832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5050.jpg"},{"id":7939,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5050/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48cfe4b07f02db546069","contributors":{"authors":[{"text":"Gurdak, Jason J.","contributorId":65125,"corporation":false,"usgs":true,"family":"Gurdak","given":"Jason J.","affiliations":[],"preferred":false,"id":287923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Sharon L. 0000-0001-7278-4498 slqi@usgs.gov","orcid":"https://orcid.org/0000-0001-7278-4498","contributorId":1130,"corporation":false,"usgs":true,"family":"Qi","given":"Sharon","email":"slqi@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287922,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76801,"text":"sir20065060 - 2006 - Modeling water quality effects of structural and operational changes to Scoggins Dam and Henry Hagg Lake, Oregon","interactions":[],"lastModifiedDate":"2012-03-08T17:16:21","indexId":"sir20065060","displayToPublicDate":"2006-06-09T00:00:00","publicationYear":"2006","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":"2006-5060","title":"Modeling water quality effects of structural and operational changes to Scoggins Dam and Henry Hagg Lake, Oregon","docAbstract":"To meet water quality targets and the municipal and industrial water needs of a growing population in the Tualatin River Basin in northwestern Oregon, an expansion of Henry Hagg Lake is under consideration. Hagg Lake is the basin's primary storage reservoir and provides water during western Oregon's typically dry summers. Potential modifications include raising the dam height by 6.1 meters (20 feet), 7.6 meters (25 feet), or 12.2 meters (40 feet); installing additional outlets (possibly including a selective withdrawal tower); and adding additional inflows to provide greater reliability of filling the enlarged reservoir. One method of providing additional inflows is to route water from the upper Tualatin River through a tunnel and into Sain Creek, a tributary to the lake. Another option is to pump water from the Tualatin River (downstream of the lake) uphill and into the reservoir during the winter--the 'pump-back' option. A calibrated CE-QUAL-W2 model of Henry Hagg Lake's hydrodynamics, temperature, and water quality was used to examine the effect of these proposed changes on water quality in the lake and downstream. Most model scenarios were run with the calibrated model for 2002, a typical water year; a few scenarios were run for 2001, a drought year. More...","language":"ENGLISH","doi":"10.3133/sir20065060","usgsCitation":"Sullivan, A.B., and Rounds, S.A., 2006, Modeling water quality effects of structural and operational changes to Scoggins Dam and Henry Hagg Lake, Oregon: U.S. Geological Survey Scientific Investigations Report 2006-5060, vi, 36 p., https://doi.org/10.3133/sir20065060.","productDescription":"vi, 36 p.","numberOfPages":"41","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":190653,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7941,"rank":9999,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://or.water.usgs.gov/tualatin/hagg_lake/scenarios/","linkFileType":{"id":5,"text":"html"}},{"id":7940,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5060/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db69996e","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":287926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":287925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76802,"text":"fs20063055 - 2006 - Investigation of the hydrologic monitoring network of the Willcox and Douglas Basins of southeastern Arizona: A project of the Rural Watershed Initiative","interactions":[],"lastModifiedDate":"2022-07-06T18:48:57.363128","indexId":"fs20063055","displayToPublicDate":"2006-06-09T00:00:00","publicationYear":"2006","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":"2006-3055","title":"Investigation of the hydrologic monitoring network of the Willcox and Douglas Basins of southeastern Arizona: A project of the Rural Watershed Initiative","docAbstract":"In 2005, the U.S. Geological Survey (USGS), in cooperation with the Arizona Department of Water Resources (ADWR), began an investigation of the geology and hydrology of the Willcox and Douglas Basins (primarily focusing on the hydrologic monitoring network) as part of the Rural Watershed Initiative (RWI). The purpose of this study is to evaluate the data-collection network that is used to monitor hydrologic conditions and ground-water storage changes in the Willcox and Douglas Basins.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/fs20063055","collaboration":"Prepared in cooperation with the Arizona Department of Water Resources","usgsCitation":"Konieczki, A., 2006, Investigation of the hydrologic monitoring network of the Willcox and Douglas Basins of southeastern Arizona: A project of the Rural Watershed Initiative: U.S. Geological Survey Fact Sheet 2006-3055, 4 p., https://doi.org/10.3133/fs20063055.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":122464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3055.jpg"},{"id":403087,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76630.htm","linkFileType":{"id":5,"text":"html"}},{"id":7942,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3055/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Willcox and Douglas Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.2667,\n              31.3289\n            ],\n            [\n              -109.2667,\n              31.3289\n            ],\n            [\n              -109.2667,\n              32.7333\n            ],\n            [\n              -110.2667,\n              32.7333\n            ],\n            [\n              -110.2667,\n              31.3289\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47dae4b07f02db4b60cb","contributors":{"authors":[{"text":"Konieczki, A.D.","contributorId":28218,"corporation":false,"usgs":true,"family":"Konieczki","given":"A.D.","affiliations":[],"preferred":false,"id":287927,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76797,"text":"b2210B - 2006 - Hydrogeochemical investigations in the Osgood Mountains, north-central Nevada","interactions":[{"subject":{"id":76797,"text":"b2210B - 2006 - Hydrogeochemical investigations in the Osgood Mountains, north-central Nevada","indexId":"b2210B","publicationYear":"2006","noYear":false,"chapter":"B","title":"Hydrogeochemical investigations in the Osgood Mountains, north-central Nevada"},"predicate":"IS_PART_OF","object":{"id":76850,"text":"b2210 - 2003 - Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada","indexId":"b2210","publicationYear":"2003","noYear":false,"title":"Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada"},"id":1}],"isPartOf":{"id":76850,"text":"b2210 - 2003 - Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada","indexId":"b2210","publicationYear":"2003","noYear":false,"title":"Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada"},"lastModifiedDate":"2021-09-24T16:47:21.226048","indexId":"b2210B","displayToPublicDate":"2006-06-09T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":306,"text":"Bulletin","code":"B","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2210","chapter":"B","title":"Hydrogeochemical investigations in the Osgood Mountains, north-central Nevada","docAbstract":"Field investigations performed in the Osgood Mountains during the summers of 1999 and 2000 were designed to test methods of combining geologic, hydrologic, and geochemical investigations. The goals were to develop a more thorough understanding of the movement of water through the study area and to understand the water-rock reactions that may occur along flow paths. The Osgood Mountains were chosen for study because they represent a well-defined geologic system, based on existing and new field data. New work in the area focused on gathering more data about fractures, faults, and joints and on collecting water samples to evaluate the role of geologic structures on hydrologic and geochemical properties of the ground-water/surface-water system. Chemical methods employed in the study included measuring traditional field parameters (e.g., pH, temperature, conductivity, dissolved oxygen) as well as Fe2+ and collecting a variety of samples that were preserved for later laboratory analysis. Hydrologic methods included closely spaced evaluations of substream hydraulic head to define ground-water discharge and recharge zones as well as some measurements of stream discharge. Geologic investigations focused on the locations and orientations of fractures and kinematic indicators of slip observable in outcrops.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geoenvironmental Investigations of the Humboldt River Basin, Northern Nevada","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/b2210B","usgsCitation":"Wanty, R.B., Berger, B.R., Tuttle, M., Briggs, P.H., Meier, A.L., Crock, J.G., and Stillings, L., 2006, Hydrogeochemical investigations in the Osgood Mountains, north-central Nevada (Version 1.0): U.S. Geological Survey Bulletin 2210, vi, 19 p., https://doi.org/10.3133/b2210B.","productDescription":"vi, 19 p.","onlineOnly":"Y","temporalStart":"1995-01-01","temporalEnd":"2000-12-31","costCenters":[],"links":[{"id":193030,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":389751,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76872.htm"},{"id":8023,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/bul/2210/b/","linkFileType":{"id":5,"text":"html"}}],"scale":"0","country":"United States","state":"Nevada","otherGeospatial":"Osgood Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.55,41.1333 ], [ -117.55,41.2194 ], [ -117.25,41.2194 ], [ -117.25,41.1333 ], [ -117.55,41.1333 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a50e4b07f02db628f10","contributors":{"authors":[{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":287914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berger, Byron R. bberger@usgs.gov","contributorId":1490,"corporation":false,"usgs":true,"family":"Berger","given":"Byron","email":"bberger@usgs.gov","middleInitial":"R.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":287916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tuttle, Michele L. mtuttle@usgs.gov","contributorId":1028,"corporation":false,"usgs":true,"family":"Tuttle","given":"Michele L.","email":"mtuttle@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":287915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Paul H.","contributorId":30973,"corporation":false,"usgs":true,"family":"Briggs","given":"Paul","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":287919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meier, Allen L.","contributorId":14384,"corporation":false,"usgs":true,"family":"Meier","given":"Allen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":287918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crock, James G. jcrock@usgs.gov","contributorId":200,"corporation":false,"usgs":true,"family":"Crock","given":"James","email":"jcrock@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":287913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":3143,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa L.","email":"stilling@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":287917,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":76798,"text":"i2804 - 2006 - Geologic Map of the Big Spring Quadrangle, Carter County, Missouri","interactions":[],"lastModifiedDate":"2012-02-10T00:11:39","indexId":"i2804","displayToPublicDate":"2006-06-09T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":320,"text":"IMAP","code":"I","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2804","title":"Geologic Map of the Big Spring Quadrangle, Carter County, Missouri","docAbstract":"The bedrock exposed in the Big Spring quadrangle of Missouri comprises Late Cambrian and Early Ordovician aged dolomite, sandstone, and chert. The sedimentary rocks are nearly flat lying except where they are adjacent to faults. The carbonate rocks are karstified, and the area contains numerous sinkholes, springs, caves, and losing streams. \r\n\r\nThis map is one of several being produced under the U.S. Geological Survey (USGS) National Cooperative Geologic Mapping Program to provide geologic data applicable to land-use problems in the Ozarks of south-central Missouri. Ongoing and potential industrial and agricultural development in the Ozarks region has presented issues of ground-water quality in karst areas. A national park in this region (Ozark National Scenic Riverways, Missouri) is concerned about the effects of activities in areas outside of their stewardship on the water resources that define the heart of this park. This task applies geologic mapping and karst investigations to address issues surrounding competing land use in south-central Missouri. This task keeps geologists from the USGS associated with the park and allows the park to utilize USGS expertise and aid the NPS on how to effectively use geologic maps for park management. For more information, see: http://geology.er.usgs.gov/eespteam/Karst/index.html\r\n","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/i2804","isbn":"1411309634","usgsCitation":"Weary, D.J., and McDowell, R., 2006, Geologic Map of the Big Spring Quadrangle, Carter County, Missouri (Version 1.0): U.S. Geological Survey IMAP 2804, Map (58 x 42 inches); Data Files, https://doi.org/10.3133/i2804.","productDescription":"Map (58 x 42 inches); Data Files","additionalOnlineFiles":"Y","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":192345,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":9294,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/2006/2804/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91,36.8675 ], [ -91,37 ], [ -90.86749999999999,37 ], [ -90.86749999999999,36.8675 ], [ -91,36.8675 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8560","contributors":{"authors":[{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":287920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, Robert C.","contributorId":88345,"corporation":false,"usgs":true,"family":"McDowell","given":"Robert C.","affiliations":[],"preferred":false,"id":287921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76790,"text":"sir20065117 - 2006 - Comparison of macroinvertebrate community structure between two riffle-based sampling protocols in Wyoming, Colorado, and Montana, 2000-2001","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20065117","displayToPublicDate":"2006-06-08T00:00:00","publicationYear":"2006","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":"2006-5117","title":"Comparison of macroinvertebrate community structure between two riffle-based sampling protocols in Wyoming, Colorado, and Montana, 2000-2001","docAbstract":"Samples of benthic macroinvertebrates were collected side-by-side from riffles at 12 stream sites in Wyoming, Colorado, and Montana during 2000-2001, following protocols established by the U.S. Geological Survey National Water-Quality Assessment (NAWQA) Program and the U.S. Environmental Protection Agency Environmental Monitoring and Assessment Program (EMAP). Samples from riffles were collected following NAWQA protocols, using a sampler with 425-micron net mesh-opening size from a total area of 1.25 m2 per sample in multiple riffles. Samples also were collected following EMAP protocols, using a sampler with 500-micron net mesh-opening size from a total area of 0.72 m2 per sample in multiple riffles. The taxonomic identification and enumeration of the samples followed procedures established for each program. Benthic macroinvertebrate community structure was compared between the data sets using individual metrics, a multimetric index, and multivariate analysis.\r\n\r\nComparisons between the macroinvertebrate community structures were made after sequentially adjusting both data sets for: (1) ambiguous taxa, (2) taxonomic inconsistencies, and (3) differences in laboratory subsampling. After removal of ambiguous taxa, pair-wise differences in total taxa richness and Ephemeroptera taxa richness were statistically significant (p < 0.05). Differences between the data sets generally were not significant for richness of other taxa, tolerant taxa, semi-voltine taxa, functional feeding groups, diversity, and dominance. Sample scores calculated using the Wyoming Stream Integrity Index were not significantly different between the two data sets. After reconciling both data sets for taxonomic inconsistencies, total taxa richness and Ephemeroptera taxa richness remained significantly different between the data sets. After adjusting the data for differences in laboratory subsampling, the differences in taxa richness were no longer significant. Bray-Curtis similarity coefficients and non-metric multi-dimensional scaling were used to examine macroinvertebrate community structure. Similarity in community structure between sites was affected to a greater extent by taxa reconciliation than by adjustment for subsampling.","language":"ENGLISH","doi":"10.3133/sir20065117","usgsCitation":"Peterson, D.A., and Zumberge, J., 2006, Comparison of macroinvertebrate community structure between two riffle-based sampling protocols in Wyoming, Colorado, and Montana, 2000-2001: U.S. Geological Survey Scientific Investigations Report 2006-5117, v, 12 p., https://doi.org/10.3133/sir20065117.","productDescription":"v, 12 p.","numberOfPages":"17","onlineOnly":"Y","temporalStart":"2000-01-01","temporalEnd":"2001-12-31","costCenters":[{"id":684,"text":"Wyoming Water Science Center","active":false,"usgs":true}],"links":[{"id":124835,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5117.jpg"},{"id":7934,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5117/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aea69","contributors":{"authors":[{"text":"Peterson, David A. davep@usgs.gov","contributorId":1742,"corporation":false,"usgs":true,"family":"Peterson","given":"David","email":"davep@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":287901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zumberge, Jeremy R.","contributorId":94398,"corporation":false,"usgs":true,"family":"Zumberge","given":"Jeremy R.","affiliations":[],"preferred":false,"id":287902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":76792,"text":"sir20065116 - 2006 - Hydrogeologic framework of sedimentary deposits in six structural basins, Yakima River basin, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:20","indexId":"sir20065116","displayToPublicDate":"2006-06-08T00:00:00","publicationYear":"2006","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":"2006-5116","title":"Hydrogeologic framework of sedimentary deposits in six structural basins, Yakima River basin, Washington","docAbstract":"The hydrogeologic framework was delineated for the ground-water flow system of the sedimentary deposits in six structural basins in the Yakima River Basin, Washington. The six basins delineated, from north to south are: Roslyn, Kittitas, Selah, Yakima, Toppenish, and Benton. Extent and thicknesses of the hydrogeologic units and total basin sediment thickness were mapped for each basin. Interpretations were based on information from about 4,700 well records using geochemical, geophysical, geologist's or driller's logs, and from the surficial geology and previously constructed maps and well interpretations. The sedimentary deposits were thickest in the Kittitas Basin reaching a depth of greater than 2,000 ft, followed by successively thinner sedimentary deposits in the Selah basin with about 1,900 ft, Yakima Basin with about 1,800 ft, Toppenish Basin with about 1,200 ft, Benton basin with about 870 ft and Roslyn Basin with about 700 ft.","language":"ENGLISH","doi":"10.3133/sir20065116","usgsCitation":"Jones, M., Vaccaro, J.J., and Watkins, A., 2006, Hydrogeologic framework of sedimentary deposits in six structural basins, Yakima River basin, Washington: U.S. Geological Survey Scientific Investigations Report 2006-5116, vi, 24 p., https://doi.org/10.3133/sir20065116.","productDescription":"vi, 24 p.","numberOfPages":"30","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":192122,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7937,"rank":900,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2006/5116/pdf/sir20065116_plates.zip"},{"id":7936,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5116/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627ab4","contributors":{"authors":[{"text":"Jones, M. A.","contributorId":37736,"corporation":false,"usgs":true,"family":"Jones","given":"M. A.","affiliations":[],"preferred":false,"id":287904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaccaro, J. J.","contributorId":48173,"corporation":false,"usgs":true,"family":"Vaccaro","given":"J.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":287905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, A.M.","contributorId":75642,"corporation":false,"usgs":true,"family":"Watkins","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":287906,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":76791,"text":"sir20055216 - 2006 - Synthesis of monthly and annual streamflow records (water years 1950-2003) for Big Sandy, Clear, Peoples, and Beaver Creeks in the Milk River basin, Montana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:18","indexId":"sir20055216","displayToPublicDate":"2006-06-08T00:00:00","publicationYear":"2006","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":"2005-5216","title":"Synthesis of monthly and annual streamflow records (water years 1950-2003) for Big Sandy, Clear, Peoples, and Beaver Creeks in the Milk River basin, Montana","docAbstract":"To address concerns expressed by the State of Montana about the apportionment of water in the St. Mary and Milk River basins between Canada and the United States, the International Joint Commission requested information from the United States government about water that originates in the United States but does not cross the border into Canada.\r\n\r\nIn response to this request, the U.S. Geological Survey synthesized monthly and annual streamflow records for Big Sandy, Clear, Peoples, and Beaver Creeks, all of which are in the Milk River basin in Montana, for water years 1950-2003.\r\n\r\nThis report presents the synthesized values of monthly and annual streamflow for Big Sandy, Clear, Peoples, and Beaver Creeks in Montana. Synthesized values were derived from recorded and estimated streamflows. Statistics, including long-term medians and averages and flows for various exceedance probabilities, were computed from the synthesized data.\r\n\r\nBeaver Creek had the largest median annual discharge (19,490 acre-feet), and Clear Creek had the smallest median annual discharge (6,680 acre-feet). Big Sandy Creek, the stream with the largest drainage area, had the second smallest median annual discharge (9,640 acre-feet), whereas Peoples Creek, the stream with the second smallest drainage area, had the second largest median annual discharge (11,700 acre-feet). The combined median annual discharge for the four streams was 45,400 acre-feet. The largest combined median monthly discharge for the four creeks was 6,930 acre-feet in March, and the smallest combined median monthly discharge was 48 acre-feet in January. The combined median monthly values were substantially smaller than the average monthly values.\r\n\r\nOverall, synthesized flow records for the four creeks are considered to be reasonable given the prevailing climatic conditions in the region during the 1950-2003 base period. Individual estimates of monthly streamflow may have large errors, however.\r\n\r\nLinear regression was used to relate logarithms of combined annual streamflow to water years 1950-2003. The results of the regression analysis indicated a significant downward trend (regression line slope was -0.00977) for combined annual streamflow. A regression analysis using data from 1956-2003 indicated a slight, but not significant, downward trend for combined annual streamflow.","language":"ENGLISH","doi":"10.3133/sir20055216","usgsCitation":"Parrett, C., 2006, Synthesis of monthly and annual streamflow records (water years 1950-2003) for Big Sandy, Clear, Peoples, and Beaver Creeks in the Milk River basin, Montana: U.S. Geological Survey Scientific Investigations Report 2005-5216, iv, 23 p., https://doi.org/10.3133/sir20055216.","productDescription":"iv, 23 p.","numberOfPages":"27","onlineOnly":"Y","temporalStart":"1949-10-01","temporalEnd":"2003-09-30","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":124999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5216.jpg"},{"id":7935,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5216/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,47 ], [ -114,50 ], [ -105,50 ], [ -105,47 ], [ -114,47 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adfe4b07f02db687956","contributors":{"authors":[{"text":"Parrett, Charles","contributorId":9635,"corporation":false,"usgs":true,"family":"Parrett","given":"Charles","email":"","affiliations":[],"preferred":false,"id":287903,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76785,"text":"ofr20061143 - 2006 - Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs","interactions":[],"lastModifiedDate":"2022-12-01T19:33:14.011523","indexId":"ofr20061143","displayToPublicDate":"2006-06-08T00:00:00","publicationYear":"2006","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":"2006-1143","title":"Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs","docAbstract":"<p><span>This report, prepared in cooperation with the Department of Environmental Protection, Office of Mineral Resources Management, provides a preliminary analysis of water budgets and generalized ground-water/surface-water interactions for Bushkill and parts of Monocacy Creek watersheds in Northampton County, Pa., by use of a ground-water flow model. Bushkill Creek watershed was selected for study because it has areas of rapid growth, ground-water withdrawals from a quarry, and proposed stream-channel modifications, all of which have the potential for altering ground-water budgets and the interaction between ground water and streams.&nbsp;</span><br><br><span>Preliminary 2-dimensional, steady-state simulations of ground-water flow by the use of MODFLOW are presented to show the status of work through September 2005 and help guide ongoing data collection in Bushkill Creek watershed. Simulations were conducted for (1) predevelopment conditions, (2) a water table lowered for quarry operations, and (3) anthropogenic changes in hydraulic conductivity of the streambed and aquifer. Preliminary results indicated under predevelopment conditions, the divide between the Bushkill and Monocacy Creek ground-water basins may not have been coincident with the topographic divide and as much as 14 percent of the ground-water discharge to Bushkill Creek may have originated from recharge in the Monocacy Creek watershed. For simulated predevelopment conditions, Schoeneck Creek and parts of Monocacy Creek were dry, but Bushkill Creek was gaining throughout all reaches.<span>&nbsp;</span></span><br><br><span>Simulated lowering of the deepest quarry sump to an altitude of 147 feet for quarry operations caused ground-water recharge and streamflow leakage to be diverted to the quarry throughout about 14 square miles and caused reaches of Bushkill and Little Bushkill Creeks to change from gaining to losing streams. Lowering the deepest quarry sump to an altitude of 100 feet caused simulated ground-water discharge to the quarry to increase about 4 cubic feet per second. Raising the deepest sump to an altitude of 200 feet caused the simulated discharge to the quarry to decrease about 14 cubic feet per second.Decreasing the hydraulic conductivity of the streambed of Bushkill Creek in the reach of large losses of flow caused simulated ground-water levels to decline and ground-water discharge to a quarry to decrease from 74 to 45 cubic feet per second.</span><br><br><span>Decreasing the hydraulic conductivity of a hypothesized highly transmissive zone with a plug of relatively impermeable material caused ground-water levels to increase east of the plug and decline west of the plug, and decreased the discharge to a quarry from 74 to 53 cubic feet per second. Preliminary results of the study have significant limitations, which need to be recognized by the user. The results demonstrated the usefulness of ground-water modeling with available data sets, but as more data become available through field studies, a more complete evaluation could be conducted of the preliminary assumptions in the conceptual model, model sensitivity, and effects of boundary conditions. Additional streamflow and ground-water-level measurements would be needed to better quantify recharge and aquifer properties, particularly the anisotropy of carbonate rocks. Measurements of streamflow losses at average, steady-state hydrologic conditions could provide a more accurate estimate of ground-water recharge from this source, which directly affects water budgets and contributing areas simulated by the model.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061143","collaboration":"In cooperation with the Pennsylvania Department of Environmental Protection","usgsCitation":"Risser, D.W., 2006, Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs: U.S. Geological Survey Open-File Report 2006-1143, vi, 31 p., https://doi.org/10.3133/ofr20061143.","productDescription":"vi, 31 p.","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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