{"title":"Hydrogeologic units, contour maps, and cross sections of the Boone and Roubidoux aquifers, northeastern Oklahoma, 2020","authors":"C. A. Russell, J. W. Stivers","doi":"10.3133/sim3452","DOIUrl":"https://doi.org/10.3133/sim3452","url":null,"abstract":"","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data at 10 study areas along Fountain Creek, Colorado, annually since 2012. The 10 study areas are located between Colorado Springs and the terminus of Fountain Creek at the Arkansas River in Pueblo. The purpose of this report is to present elevation maps based on topographic surveys collected in 2015 and 2019 and to present maps of elevation change that occurred between 2015 and 2019 at all 10 study areas. Elevation and elevation-change maps were developed in ArcGIS from topographic surveys collected at each study area using real-time kinematic Global Navigation Satellite Systems during the winter months (January through April) of 2015 and 2019. Elevation-change maps were created using statistically defined minimum levels of change detection associated with the 68-percent confidence limit and the 95-percent confidence limit. Study areas along Fountain Creek underwent a range of geomorphic responses between 2015 and 2019 that often depended on the dominant channel pattern of the study area. The results of this ongoing monitoring effort can be used to assess long-term changes in land-surface elevation and to advance understanding of the geomorphic response to possible alterations in flow conditions on Fountain Creek.
{"title":"Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015–19","authors":"L. Hempel","doi":"10.3133/sim3456","DOIUrl":"https://doi.org/10.3133/sim3456","url":null,"abstract":"The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data at 10 study areas along Fountain Creek, Colorado, annually since 2012. The 10 study areas are located between Colorado Springs and the terminus of Fountain Creek at the Arkansas River in Pueblo. The purpose of this report is to present elevation maps based on topographic surveys collected in 2015 and 2019 and to present maps of elevation change that occurred between 2015 and 2019 at all 10 study areas. Elevation and elevation-change maps were developed in ArcGIS from topographic surveys collected at each study area using real-time kinematic Global Navigation Satellite Systems during the winter months (January through April) of 2015 and 2019. Elevation-change maps were created using statistically defined minimum levels of change detection associated with the 68-percent confidence limit and the 95-percent confidence limit. Study areas along Fountain Creek underwent a range of geomorphic responses between 2015 and 2019 that often depended on the dominant channel pattern of the study area. The results of this ongoing monitoring effort can be used to assess long-term changes in land-surface elevation and to advance understanding of the geomorphic response to possible alterations in flow conditions on Fountain Creek.","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69294032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Valder, A. Haj, Emilia L. Bristow, Kristen J. Valseth
The U.S. Geological Survey, in cooperation with the City of Cedar Rapids, began a study in 2013 to better understand the effects of drought stress on the Cedar River alluvial aquifer. After an evaluation of the existing groundwater-flow models for the alluvial aquifer, a plan was begun to construct an updated groundwater-flow model capable of evaluating the effect of prolonged drought and increased demand. As part of the effort to update the existing groundwater-flow model, data were collected during an airborne electromagnetic (AEM) survey in May 2017. The study area for the AEM survey encompasses about 53 square kilometers of the Cedar River Basin, west of Cedar Rapids, Iowa, and includes a 19-kilometer reach of the Cedar River. The AEM survey of the Cedar River alluvial aquifer and adjacent areas was completed to characterize the subsurface geology of the area to refine a lithologic framework. The collected AEM data were postprocessed by numerical inversion using the program EM1DFM to produce subsurface apparent resistivity cross sections. Changes observed in resistivity profile values with depth were used to infer lithologic changes and delineate three of the four lithologic units designated in the lithologic framework for this area: alluvial deposits, glacial till, and bedrock; hereafter referred to as the “lithologic framework.” The fourth unit, composed of surficial eolian sediments, was not delineated in these profiles because these units are thin and discontinuous and are not reliably distinguishable from flood plain alluvial deposits. For the purposes of delineating lithologic units using the AEM data, bedrock was assumed to be the lowest unit in a profile, glacial till was deposited on a bedrock surface, and alluvium was deposited on erosional till or bedrock surfaces. A three-dimensional fence diagram was created as part of the lithologic framework to further define the extent and thickness of the lithologic units near the Cedar River alluvial aquifer. The fence diagram shows a three-dimensional perspective of unit thickness, extent, and orientation of the delineated lithologic framework. A lithologic framework, by design, is intended to represent a simplification of a more complex natural system through data interpolation between known points, which usually are lithologic logs. The resistivity profiles produced from the AEM survey allow for continuous mapping and accurate interpolation of lithology between lithologic logs; however, the apparent resistivity value may reflect several characteristics of subsurface materials including variations in lithology, porosity, water quality, grain sorting, and degree of saturation. In this study, the only variables considered were those related to changes in the subsurface material.
{"title":"Delineation of selected lithologic units using airborne electromagnetic data near Cedar Rapids, Iowa","authors":"J. Valder, A. Haj, Emilia L. Bristow, Kristen J. Valseth","doi":"10.3133/sim3423","DOIUrl":"https://doi.org/10.3133/sim3423","url":null,"abstract":"The U.S. Geological Survey, in cooperation with the City of Cedar Rapids, began a study in 2013 to better understand the effects of drought stress on the Cedar River alluvial aquifer. After an evaluation of the existing groundwater-flow models for the alluvial aquifer, a plan was begun to construct an updated groundwater-flow model capable of evaluating the effect of prolonged drought and increased demand. As part of the effort to update the existing groundwater-flow model, data were collected during an airborne electromagnetic (AEM) survey in May 2017. The study area for the AEM survey encompasses about 53 square kilometers of the Cedar River Basin, west of Cedar Rapids, Iowa, and includes a 19-kilometer reach of the Cedar River. The AEM survey of the Cedar River alluvial aquifer and adjacent areas was completed to characterize the subsurface geology of the area to refine a lithologic framework. The collected AEM data were postprocessed by numerical inversion using the program EM1DFM to produce subsurface apparent resistivity cross sections. Changes observed in resistivity profile values with depth were used to infer lithologic changes and delineate three of the four lithologic units designated in the lithologic framework for this area: alluvial deposits, glacial till, and bedrock; hereafter referred to as the “lithologic framework.” The fourth unit, composed of surficial eolian sediments, was not delineated in these profiles because these units are thin and discontinuous and are not reliably distinguishable from flood plain alluvial deposits. For the purposes of delineating lithologic units using the AEM data, bedrock was assumed to be the lowest unit in a profile, glacial till was deposited on a bedrock surface, and alluvium was deposited on erosional till or bedrock surfaces. A three-dimensional fence diagram was created as part of the lithologic framework to further define the extent and thickness of the lithologic units near the Cedar River alluvial aquifer. The fence diagram shows a three-dimensional perspective of unit thickness, extent, and orientation of the delineated lithologic framework. A lithologic framework, by design, is intended to represent a simplification of a more complex natural system through data interpolation between known points, which usually are lithologic logs. The resistivity profiles produced from the AEM survey allow for continuous mapping and accurate interpolation of lithology between lithologic logs; however, the apparent resistivity value may reflect several characteristics of subsurface materials including variations in lithology, porosity, water quality, grain sorting, and degree of saturation. In this study, the only variables considered were those related to changes in the subsurface material.","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Swezey, A. Schultz, W. Doar, C. P. Garrity, C. Bernhardt, E. Crider, L. Edwards, J. McGeehin
By Christopher S. Swezey, Arthur P. Schultz,1 William R. Doar III,2 Christopher P. Garrity, Christopher E. Bernhardt, E. Allen Crider Jr., Lucy E. Edwards,1 and John P. McGeehin1 2019 Any use of firm, trade, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government For sale by U.S. Geological Survey, Box 25286, Denver Federal Center, Denver, CO 80225; http://store.usgs.gov; 1–888–ASK–USGS (1-888-275-8747) Suggested citation: Swezey, C.S., Schultz, A.P., Doar, W.R, III, Garrity, C.P., Bernhardt, C.E., Crider, E.A., Jr., Edwards, L.E., and McGeehin, J.P., 2019, Geology of the Hardeeville NW quadrangle and parts of the Brighton and Pineland quadrangles, Jasper County, South Carolina: U.S. Geological Survey Scientific Investigations Map 3424, 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3424. U.S. Geological Survey, retired. South Carolina Geological Survey. ISSN 2329-132X (online) ISSN 2329-1311 (print)
作者:Christopher S. Swezey, Arthur P. Schultz,1 William R. Doar III,2 Christopher P. Garrity, Christopher E. Bernhardt, E. Allen Crider Jr.， Lucy E. Edwards,1 and John P. McGeehin1 2019任何公司，贸易或产品名称的使用仅用于描述性目的，并不意味着美国政府的认可由美国地质调查局出售，Box 25286，丹佛联邦中心，丹佛，CO 80225;http://store.usgs.gov;建议引用:Swezey, c.s.， Schultz, a.p.， Doar, w.r.， III, Garrity, c.p.， Bernhardt, c.e.， Crider, e.a.， Jr, Edwards, l.e.， and McGeehin, j.p.， 2019, South Carolina Jasper县Hardeeville NW四边形和部分Brighton和Pineland四边形的地质:美国地质调查局科学调查图3424,2页，比例尺1:24 000,https://doi.org/10.3133/sim3424。美国地质调查局，退休。南卡罗来纳州地质调查局。ISSN 2329-132X (online) ISSN 2329-1311 (print)
{"title":"Geology of the Hardeeville NW Quadrangle and parts of the Brighton and Pineland Quadrangles, Jasper County, South Carolina","authors":"C. Swezey, A. Schultz, W. Doar, C. P. Garrity, C. Bernhardt, E. Crider, L. Edwards, J. McGeehin","doi":"10.3133/SIM3424","DOIUrl":"https://doi.org/10.3133/SIM3424","url":null,"abstract":"By Christopher S. Swezey, Arthur P. Schultz,1 William R. Doar III,2 Christopher P. Garrity, Christopher E. Bernhardt, E. Allen Crider Jr., Lucy E. Edwards,1 and John P. McGeehin1 2019 Any use of firm, trade, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government For sale by U.S. Geological Survey, Box 25286, Denver Federal Center, Denver, CO 80225; http://store.usgs.gov; 1–888–ASK–USGS (1-888-275-8747) Suggested citation: Swezey, C.S., Schultz, A.P., Doar, W.R, III, Garrity, C.P., Bernhardt, C.E., Crider, E.A., Jr., Edwards, L.E., and McGeehin, J.P., 2019, Geology of the Hardeeville NW quadrangle and parts of the Brighton and Pineland quadrangles, Jasper County, South Carolina: U.S. Geological Survey Scientific Investigations Map 3424, 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3424. U.S. Geological Survey, retired. South Carolina Geological Survey. ISSN 2329-132X (online) ISSN 2329-1311 (print)","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. L. McGuire, R. Seanor, W. Asquith, W. Kress, Kellan R. Strauch
{"title":"Potentiometric surface of the Mississippi River Valley alluvial aquifer, spring 2016","authors":"V. L. McGuire, R. Seanor, W. Asquith, W. Kress, Kellan R. Strauch","doi":"10.3133/sim3439","DOIUrl":"https://doi.org/10.3133/sim3439","url":null,"abstract":"","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Geologic cross section A–A′ through the Appalachian basin from the southern margin of the Ontario Lowlands province, Genesee County, western New York, to the Valley and Ridge province, Lycoming County, north-central Pennsylvania","authors":"M. Trippi, R. Ryder, C. B. Enomoto","doi":"10.3133/SIM3425","DOIUrl":"https://doi.org/10.3133/SIM3425","url":null,"abstract":"","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Siler, James E. Faulds, J. Glen, Nicholas H. Hinz, J. Witter, Kelly Blake, John Queen, Mark Fortuna
{"title":"Three-dimensional geologic map of the southern Carson Sink, Nevada, including the Fallon FORGE area","authors":"D. Siler, James E. Faulds, J. Glen, Nicholas H. Hinz, J. Witter, Kelly Blake, John Queen, Mark Fortuna","doi":"10.3133/sim3437","DOIUrl":"https://doi.org/10.3133/sim3437","url":null,"abstract":"","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sedimentation survey of Lago Guayabal, Villalba, Puerto Rico, December 2017","authors":"Julieta Gómez-Fragoso, M. Rosario","doi":"10.3133/sim3442","DOIUrl":"https://doi.org/10.3133/sim3442","url":null,"abstract":"","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Map of the approximate inland extent of saltwater at the base of the Biscayne aquifer in Miami-Dade County, Florida, 2018","authors":"S. Prinos","doi":"10.3133/sim3438","DOIUrl":"https://doi.org/10.3133/sim3438","url":null,"abstract":".........................................................................................................................................................","PeriodicalId":36283,"journal":{"name":"U.S. Geological Survey Scientific Investigations Map","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69293678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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