{"pageNumber":"2435","pageRowStart":"60850","pageSize":"25","recordCount":185064,"records":[{"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":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":76831,"text":"ofr20061158 - 2006 - Seismic constraints and coulomb stress changes of a blind thrust fault system, 2: Northridge, California","interactions":[],"lastModifiedDate":"2023-04-03T21:56:57.59544","indexId":"ofr20061158","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":"2006-1158","title":"Seismic constraints and coulomb stress changes of a blind thrust fault system, 2: Northridge, California","docAbstract":"<p><span>We review seismicity, surface faulting, and Coulomb stress changes associated with the 1994 Northridge, California, earthquake. All of the observed surface faulting is shallow, extending meters to tens of meters below the surface. Relocated aftershocks reveal no seismicity shallower than 2 km depth. Although many of the aftershocks lie along the thrust fault and its up-dip extension, there are also a significant number of aftershocks in the core of the gentle anticline above the thrust, and elsewhere on the up-thrown block. These aftershocks may be associated with secondary ramp thrusts or flexural slip faults at a depth of 2-4 km. The geological structures typically associated with a blind thrust fault, such as anticlinal uplift and an associated syncline, are obscured and complicated by surface thrust faults associated with the San Fernando fault that overly the Northridge structures. Thus the relationship of the geological structure and topography to the underlying thrust fault is much more complex for Northridge than it is for the 1983 Coalinga, California, earthquake. We show from a Coulomb stress analysis that secondary surface faulting, diffuse aftershocks, and triggered sequences of moderate-sized mainshocks, are expected features of moderate-sized blind thrust earthquakes.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061158","collaboration":"See related OFR 2006-1149","usgsCitation":"Stein, R.S., and Lin, J., 2006, Seismic constraints and coulomb stress changes of a blind thrust fault system, 2: Northridge, California (Version 1.0; Revised and reprinted): U.S. Geological Survey Open-File Report 2006-1158, 17 p., https://doi.org/10.3133/ofr20061158.","productDescription":"17 p.","numberOfPages":"17","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":191972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7999,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1158/version_history.txt","linkFileType":{"id":2,"text":"txt"}},{"id":7998,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1158/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Northridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.7217,\n              34.4444\n            ],\n            [\n              -118.7217,\n              34.1236\n            ],\n            [\n              -118.2583,\n              34.1236\n            ],\n            [\n              -118.2583,\n              34.4444\n            ],\n            [\n              -118.7217,\n              34.4444\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0; Revised and reprinted","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db64928f","contributors":{"authors":[{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":287969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Jian","contributorId":16930,"corporation":false,"usgs":true,"family":"Lin","given":"Jian","email":"","affiliations":[],"preferred":false,"id":287970,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":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":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":678,"text":"Woods Hole Coastal and Marine 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":5224669,"text":"5224669 - 2006 - A review of the population estimation approach of the North American landbird conservation plan","interactions":[],"lastModifiedDate":"2024-05-09T15:50:36.544969","indexId":"5224669","displayToPublicDate":"2006-06-16T12:18:30","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"A review of the population estimation approach of the North American landbird conservation plan","docAbstract":"<p>As part of their development of a continental plan for monitoring landbirds (Rich et al. 2004), Partners in Flight (PIF) applied a new method to make preliminary estimates of population size for all 448 species of landbirds present in the continental United States and Canada (Table 1). Estimation of the global population size of North American landbirds was intended to (1) identify the degree of vulnerability of each species, (2) provide estimates of the current population size for each species, and (3) provide a starting point for estimating population sizes in states, provinces, territories, and Bird Conservation Regions (Rich et al. 2004). A method proposed by Rosenberg and Blancher (2005) was used to derive population estimates from available survey data. To enhance the credibility of these estimates, PIF organized a review of the methodology used to estimate North American landbird population sizes. A planning committee selected members from the ornithological and biometrical communities (hereafter “the panel”), with the aim of selecting individuals from academia, state natural-resource agencies, and the U.S. and Canadian federal governments, including the Canadian Wildlife Service, the U.S. Geological Survey, and the U.S. Department of Agriculture Forest Service.</p><p>The panel addressed three questions: (1) Were the methods of population estimation proposed by PIF reasonable? (2) What actions could be taken to improve the data or analyses on which the PIF population estimates were based? and (3) How should the PIF population estimates be interpreted?</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/0004-8038(2006)123[892:AROTPE]2.0.CO;2","usgsCitation":"Thogmartin, W.E., Howe, F.P., James, F.C., Johnson, D.H., Reed, E.T., Sauer, J., and Thompson, F.R., 2006, A review of the population estimation approach of the North American landbird conservation plan: The Auk, v. 123, no. 3, p. 892-904, https://doi.org/10.1642/0004-8038(2006)123[892:AROTPE]2.0.CO;2.","productDescription":"13 p.","startPage":"892","endPage":"904","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":477328,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/0004-8038(2006)123[892:arotpe]2.0.co;2","text":"Publisher Index Page"},{"id":198158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b19e4b07f02db6a77e5","contributors":{"authors":[{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":342306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Howe, Frank P.","contributorId":26621,"corporation":false,"usgs":true,"family":"Howe","given":"Frank","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":342311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Frances C.","contributorId":174420,"corporation":false,"usgs":false,"family":"James","given":"Frances","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":342310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Eric T.","contributorId":174421,"corporation":false,"usgs":false,"family":"Reed","given":"Eric","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":342305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":342308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Frank R. 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Because of the number and variety of platforms and software available, graphical images are provided as .pdf files and tabular data are provided in a raw form as tab-delimited text files (.tab files).","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_chapter6","usgsCitation":"Klett, T.R., and Le, P.A., 2006, Chapter 6. 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Across the main hydrocarbon-productive trend in east Texas and northern Louisiana, the Travis Peak and Hosston Formations are about 2,000 ft thick.\nThe most likely sources for hydrocarbons in Travis Peak and Hosston reservoirs are two stratigraphically lower units, lime mudstones of the Upper Jurassic Smackover Formation and organic-rich shales of the Upper Jurassic Bossier Shale of the Cotton Valley Group. As a result of the absence of proximal source rocks and a lack of effective migration pathways from stratigraphically or geographically distant source rocks, hydrocarbon charge is sufficient for development of conventional gas accumulations but insufficient for development of basin-centered gas.\nThe petroleum assessment of the Travis Peak and Hosston Formations was conducted by using a total petroleum system model. 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,{"id":76825,"text":"ds69E_chapter7 - 2006 - Chapter 7. The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, East Texas basin and Louisiana-Mississippi salt basins provinces","interactions":[{"subject":{"id":76825,"text":"ds69E_chapter7 - 2006 - Chapter 7. The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, East Texas basin and Louisiana-Mississippi salt basins provinces","indexId":"ds69E_chapter7","publicationYear":"2006","noYear":false,"title":"Chapter 7. The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, 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":"2023-07-07T21:19:39.740886","indexId":"ds69E_chapter7","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-7","title":"Chapter 7. The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, East Texas basin and Louisiana-Mississippi salt basins provinces","docAbstract":"A geographic information system (GIS) focusing on the Upper Jurassic-Lower Cretaceous Cotton Valley Group and the Lower Cretaceous Travis Peak and Hosston Formations in the northern Gulf Coast region was developed as a visual-analysis tool for the U.S. Geological Survey's 2002 assessment of undiscovered, technically recoverable oil and natural gas resources in the East Texas Basin and Louisiana-Mississippi Salt Basins Provinces. The Central Energy Resources Team of the U.S. Geological Survey has also developed an Internet Map Service to deliver the GIS data to the public. This mapping tool utilizes information from a database about the oil and natural gas endowment of the United States-including physical locations of geologic and geographic data-and converts the data into visual layers. Portrayal and analysis of geologic features on an interactive map provide an excellent tool for understanding domestic oil and gas resources for strategic planning, formulating economic and energy policies, evaluating lands under the purview of the Federal Government, and developing sound environmental policies. Assessment results can be viewed and analyzed or downloaded from the internet web site, http://energy.cr.usgs.gov/oilgas/noga/ .","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_chapter7","usgsCitation":"Biewick, L.R., 2006, Chapter 7. The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, East Texas basin and Louisiana-Mississippi salt basins provinces: U.S. Geological Survey Data Series 69-E-7, 3 p., https://doi.org/10.3133/ds69E_chapter7.","productDescription":"3 p.","numberOfPages":"3","additionalOnlineFiles":"Y","costCenters":[{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":194678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":416398,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76636.htm","linkFileType":{"id":5,"text":"html"}},{"id":7990,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/REPORTS/69_E_CH_7.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7989,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","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":"4f4e49e3e4b07f02db5e5b6f","contributors":{"authors":[{"text":"Biewick, Laura R lbiewick@usgs.gov","contributorId":127602,"corporation":false,"usgs":true,"family":"Biewick","given":"Laura","email":"lbiewick@usgs.gov","middleInitial":"R","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":287963,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179070,"text":"70179070 - 2006 - AMS Radiocarbon dating of paleosols intercalated with tephra layers from Mayon Volcano, southern Luzon, Philippines: A preliminary report","interactions":[],"lastModifiedDate":"2016-12-14T16:34:51","indexId":"70179070","displayToPublicDate":"2006-06-13T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5234,"text":"Kazan, Bulletin of the Volcanological Society of Japan","onlineIssn":"2189-7182","printIssn":"0453-4360","active":true,"publicationSubtype":{"id":10}},"title":"AMS Radiocarbon dating of paleosols intercalated with tephra layers from Mayon Volcano, southern Luzon, Philippines: A preliminary report","docAbstract":"<p>This paper presents the AMS <sup>14</sup>C dates of paleosols intercalated with tephra layers in the vicinity of Mayon Volcano, southern Luzon, Philippines. the obtained <sup>14</sup>C dates are almost consistent with the stratigraphy of the Mayon tephra group. On the basis of calibrated <sup>14</sup>C age of soil layer directly overlying the lowest ash layer, the oldest eruptive event must have taken place shortly before 20 cal kyr BP. This age is younger than the previous estimates for Mayon.</p>","language":"English","publisher":"Volcanological Society of Japan","usgsCitation":"Mirabueno, M.H., Okuno, M., Nakamura, T., Newhall, C.G., and Kobayashi, T., 2006, AMS Radiocarbon dating of paleosols intercalated with tephra layers from Mayon Volcano, southern Luzon, Philippines: A preliminary report: Kazan, Bulletin of the Volcanological Society of Japan, v. 36, no. 2, p. 23-28.","productDescription":"6 p.","startPage":"23","endPage":"28","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":332143,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jairo.nii.ac.jp/0507/00001620/en"},{"id":332144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Philippines","otherGeospatial":"Mayon Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              123.50555419921875,\n              13.12227980155627\n            ],\n            [\n              123.50555419921875,\n              13.417673157887597\n            ],\n            [\n              123.85986328124999,\n              13.417673157887597\n            ],\n            [\n              123.85986328124999,\n              13.12227980155627\n            ],\n            [\n              123.50555419921875,\n              13.12227980155627\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585268e5e4b0e2663625ec9e","contributors":{"authors":[{"text":"Mirabueno, Ma. Hannah T.","contributorId":177478,"corporation":false,"usgs":false,"family":"Mirabueno","given":"Ma.","email":"","middleInitial":"Hannah T.","affiliations":[],"preferred":false,"id":655917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Okuno, Mitsuru","contributorId":177479,"corporation":false,"usgs":false,"family":"Okuno","given":"Mitsuru","email":"","affiliations":[],"preferred":false,"id":655918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakamura, Toshio","contributorId":177480,"corporation":false,"usgs":false,"family":"Nakamura","given":"Toshio","email":"","affiliations":[],"preferred":false,"id":655919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newhall, Christopher G.","contributorId":25557,"corporation":false,"usgs":true,"family":"Newhall","given":"Christopher","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":655920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kobayashi, Tetsuo","contributorId":177481,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Tetsuo","email":"","affiliations":[],"preferred":false,"id":655921,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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","interactions":[{"subject":{"id":76818,"text":"ds69E_chapter1 - 2006 - Chapter 1. Executive Summary-2002 assessment of undiscovered oil and gas resources of the 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_chapter1","publicationYear":"2006","noYear":false,"title":"Chapter 1. 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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. 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Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--East Texas basin and Louisiana-Mississippi salt basins provinces, Jurassic Smackover Interior salt basins total petroleum system (504902), Cotton Valley group","indexId":"ds69E_chapter3","publicationYear":"2006","noYear":false,"title":"Chapter 3. 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Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment–East Texas basin and Louisiana-Mississippi salt basins provinces, Jurassic Smackover interior salt basins total petroleum system (504902), Travis Peak and Hosston formations","indexId":"ds69E_chapter6","publicationYear":"2006","noYear":false,"title":"Chapter 6. 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The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, East Texas basin and Louisiana-Mississippi salt basins provinces","indexId":"ds69E_chapter7","publicationYear":"2006","noYear":false,"title":"Chapter 7. 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Seven assessment units were quantitatively assessed for undiscovered oil and gas resources.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69E","usgsCitation":"U.S. Geological Survey Gulf Coast Region Assessment Team, 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: U.S. Geological Survey Data Series 69, HTML Document; CD-ROM; Data Release: Readme, https://doi.org/10.3133/ds69E.","productDescription":"HTML Document; CD-ROM; Data Release: Readme","additionalOnlineFiles":"Y","costCenters":[{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":192441,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7972,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/READ_ME/69_E_Readme.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7974,"rank":4,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/chapters.html","text":"Chapters","linkFileType":{"id":5,"text":"html"}},{"id":7973,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","linkFileType":{"id":5,"text":"html"}},{"id":374244,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70K26MS","text":"USGS data release","description":"USGS data release","linkHelpText":"National Assessment of Oil and Gas - Cotton Valley Group and Travis Peak-Hosston Formation Assessment Units, Western Gulf and East Texas Basin and Louisiana-Mississippi Salt Basins Provinces (047, 048 and 049)"}],"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":"4f4e4adce4b07f02db6867ab","contributors":{"authors":[{"text":"U.S. Geological Survey Gulf Coast Region Assessment Team","contributorId":224340,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Gulf Coast Region Assessment Team","id":534789,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70185580,"text":"70185580 - 2006 - Structural equation modeling and natural systems","interactions":[],"lastModifiedDate":"2017-03-24T08:44:58","indexId":"70185580","displayToPublicDate":"2006-06-13T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Structural equation modeling and natural systems","docAbstract":"<p><span>This book, first published in 2006, presents an introduction to the methodology of structural equation modeling, illustrates its use, and goes on to argue that it has revolutionary implications for the study of natural systems. A major theme of this book is that we have, up to this point, attempted to study systems primarily using methods (such as the univariate model) that were designed only for considering individual processes. Understanding systems requires the capacity to examine simultaneous influences and responses. Structural equation modeling (SEM) has such capabilities. It also possesses many other traits that add strength to its utility as a means of making scientific progress. In light of the capabilities of SEM, it can be argued that much of ecological theory is currently locked in an immature state that impairs its relevance. It is further argued that the principles of SEM are capable of leading to the development and evaluation of multivariate theories of the sort vitally needed for the conservation of natural systems.</span></p>","language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","isbn":"9780521837422","usgsCitation":"Grace, J.B., 2006, Structural equation modeling and natural systems, xii, 365 p.","productDescription":"xii, 365 p.","costCenters":[],"links":[{"id":338247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338246,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521837422"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63039e4b05ec7991310f3","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":686029,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":76814,"text":"ofr20061155 - 2006 - Reflectance measurements of well cuttings from Ashley and Bradley Counties, Arkansas","interactions":[],"lastModifiedDate":"2012-02-02T00:14:23","indexId":"ofr20061155","displayToPublicDate":"2006-06-12T00:00:00","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":"2006-1155","title":"Reflectance measurements of well cuttings from Ashley and Bradley Counties, Arkansas","docAbstract":"Vitrinite reflectance measurements were determined for twenty-three well cuttings samples from Ashley and Bradley Counties, Arkansas, to evaluate coal rank and coalbed gas potential in the Desha Basin of the southern Missisissippi Embayment. Samples were selected from the Norman F. Williams Well Sample Library using geophysical logs to identify coaly shale and coal intervals from conventional oil and gas wells. Results indicate that maturation of vitrinite ranges from lignite to subbituminous B in the Wilcox Group (Paleocene-Eocene) at depths of 1400 to 2300 feet, and from subbituminous C to subbituminous A/high volatile bituminous C in the Trinity Group/Hosston Formation (Lower Cretaceous) at depths of 3000 to 3100 feet. ","language":"ENGLISH","doi":"10.3133/ofr20061155","usgsCitation":"Hackley, P.C., Ratchford, M.E., and Warwick, P.D., 2006, Reflectance measurements of well cuttings from Ashley and Bradley Counties, Arkansas: U.S. Geological Survey Open-File Report 2006-1155, iii, 29 p., https://doi.org/10.3133/ofr20061155.","productDescription":"iii, 29 p.","numberOfPages":"31","costCenters":[],"links":[{"id":195693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7970,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1155/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db6351c6","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":287947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ratchford, Michael E.","contributorId":18826,"corporation":false,"usgs":true,"family":"Ratchford","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":287949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":287948,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"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":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":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},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","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":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. The network represents an aggregation of smaller networks and individual monitoring stations that collectively provide data from 130 sites.","language":"ENGLISH","publisher":"Geological Survey (U.S.)","doi":"10.3133/fs20063086","usgsCitation":"2006, Georgia's Stream-Water-Quality Monitoring Network, 2006: U.S. Geological Survey Fact Sheet 2006-3086, 2 p., https://doi.org/10.3133/fs20063086.","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":120731,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2006_3086.jpg"},{"id":7969,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2006/3086/","linkFileType":{"id":5,"text":"html"}}],"country":"United 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,{"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":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":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. 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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":76818,"text":"ds69E_chapter1 - 2006 - Chapter 1. Executive Summary-2002 assessment of undiscovered oil and gas resources of the 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":76818,"text":"ds69E_chapter1 - 2006 - Chapter 1. Executive Summary-2002 assessment of undiscovered oil and gas resources of the 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_chapter1","publicationYear":"2006","noYear":false,"title":"Chapter 1. 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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. 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