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Water-level data and AQTESOLV Pro analysis results for slug tests in the Big Sioux Aquifer, Sioux Falls, South Dakota, 2017
Well and aquifer data were collected from field measurements and drillers’ logs. Multiple slug tests were completed at each well with a transducer to record the change in water level and a U.S. Geological Survey standard mechanical slug to displace the well’s water column. A Solinst Levelogger LT F30/M10 electronic transducer (unvented) was used to record water-level changes during each slug test. Water-level changes for each trial were analyzed in AQTESOLV Pro version 4.50.002 using the Springer and Gelhar method of curve fitting.
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Water-level data and AQTESOLV Pro analysis results for slug tests in the Big Sioux Aquifer, Sioux Falls, South Dakota, 2017
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Well and aquifer data were collected from field measurements and drillers’ logs. Multiple slug tests were completed at each well with a transducer to record the change in water level and a U.S. Geological Survey standard mechanical slug to displace the well’s water column. A Solinst Levelogger LT F30/M10 electronic transducer (unvented) was used to record water-level changes during each slug test. Water-level changes for each trial were analyzed in AQTESOLV Pro version 4.50.002 using the Springer and Gelhar method of curve fitting.
Slug tests data, analysis, and results at wells near the North Shore of Lake Superior, Minnesota
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This dataset contains the original data, analysis data, and a results synopsis of 12 slug tests performed in 7 wells completed in unconfined fractured bedrock near the North Shore of Lake Superior in Minnesota. Aquifers tested include extrusive and intrusive volcanic rocks and slate. Estimated hydraulic conductivity range from 10.2 to 2x10-6 feet/day. Mean and median hydraulic conductivity are 3.7 and 1.6, respectively. The highest and lowest hydraulic conductivities were in slate and fractured lava, respectively. Compressed air and traditional displacement-tube methods were employed. Water levels were measured with barometrically compensated (11 tests) and absolute pressure transducers (1 test) and recorded with data loggers. Test data were analyzed with AQTESOLV software using the unconfined KGS (Hyder and others, 1994; 9 tests) and Bower-Rice, 1976 models (3 tests).This dataset contains the original data, analysis data, and a results synopsis of 12 slug tests performed in 7 wells completed in unconfined fractured bedrock near the North Shore of Lake Superior in Minnesota. Aquifers tested include extrusive and intrusive volcanic rocks and slate. Estimated hydraulic conductivity range from 10.2 to 2x10-6 feet/day. Mean and median hydraulic conductivity are 3.7 and 1.6, respectively. The highest and lowest hydraulic conductivities were in slate and fractured lava, respectively. Compressed air and traditional displacement-tube methods were employed. Water levels were measured with barometrically compensated (11 tests) and absolute pressure transducers (1 test) and recorded with data loggers. Test data were analyzed with AQTESOLV software using the unconfined KGS (Hyder and others, 1994; 9 tests) and Bower-Rice, 1976 models (3 tests). Data files include the original recorded data, data files transformed into a form necessary for AQTESLOV, AQTESOLV analysis files and results files, and a compilation of well information and slug-test results. All files are formatted as tab-delimited ASCII except for the AQTESOVE analysis and results files, which are proprietary aqt and PDF files respectively. For convenience, a Microsoft Excel file is included that contains a synopsis of the well data and slug-test results, original recorded, transformed, and plotted slug-test data, data formats, constants and variables used in the data analysis, and notes about each test. Data files include the original recorded data, data files transformed into a form necessary for AQTESLOV, AQTESOLV analysis files and results files, and a compilation of well information and slug-test results. All files are formatted as tab-delimited ASCII except for the AQTESOVE analysis and results files, which are proprietary aqt and PDF files respectively. For convenience, a Microsoft Excel file is included that contains a synopsis of the well data and slug-test results, original recorded, transformed, and plotted slug-test data, data formats, constants and variables used in the data analysis, and notes about each test.
Slug tests data, analysis, and results at wells near the North Shore of Lake Superior, Minnesota
공공데이터포털
This dataset contains the original data, analysis data, and a results synopsis of 12 slug tests performed in 7 wells completed in unconfined fractured bedrock near the North Shore of Lake Superior in Minnesota. Aquifers tested include extrusive and intrusive volcanic rocks and slate. Estimated hydraulic conductivity range from 10.2 to 2x10-6 feet/day. Mean and median hydraulic conductivity are 3.7 and 1.6, respectively. The highest and lowest hydraulic conductivities were in slate and fractured lava, respectively. Compressed air and traditional displacement-tube methods were employed. Water levels were measured with barometrically compensated (11 tests) and absolute pressure transducers (1 test) and recorded with data loggers. Test data were analyzed with AQTESOLV software using the unconfined KGS (Hyder and others, 1994; 9 tests) and Bower-Rice, 1976 models (3 tests).This dataset contains the original data, analysis data, and a results synopsis of 12 slug tests performed in 7 wells completed in unconfined fractured bedrock near the North Shore of Lake Superior in Minnesota. Aquifers tested include extrusive and intrusive volcanic rocks and slate. Estimated hydraulic conductivity range from 10.2 to 2x10-6 feet/day. Mean and median hydraulic conductivity are 3.7 and 1.6, respectively. The highest and lowest hydraulic conductivities were in slate and fractured lava, respectively. Compressed air and traditional displacement-tube methods were employed. Water levels were measured with barometrically compensated (11 tests) and absolute pressure transducers (1 test) and recorded with data loggers. Test data were analyzed with AQTESOLV software using the unconfined KGS (Hyder and others, 1994; 9 tests) and Bower-Rice, 1976 models (3 tests). Data files include the original recorded data, data files transformed into a form necessary for AQTESLOV, AQTESOLV analysis files and results files, and a compilation of well information and slug-test results. All files are formatted as tab-delimited ASCII except for the AQTESOVE analysis and results files, which are proprietary aqt and PDF files respectively. For convenience, a Microsoft Excel file is included that contains a synopsis of the well data and slug-test results, original recorded, transformed, and plotted slug-test data, data formats, constants and variables used in the data analysis, and notes about each test. Data files include the original recorded data, data files transformed into a form necessary for AQTESLOV, AQTESOLV analysis files and results files, and a compilation of well information and slug-test results. All files are formatted as tab-delimited ASCII except for the AQTESOVE analysis and results files, which are proprietary aqt and PDF files respectively. For convenience, a Microsoft Excel file is included that contains a synopsis of the well data and slug-test results, original recorded, transformed, and plotted slug-test data, data formats, constants and variables used in the data analysis, and notes about each test.
Water-level and well-discharge data related to aquifer testing in Wet Mountain Valley, Colorado, 2019
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Short-term aquifer tests were conducted to estimate hydraulic properties in an alluvial aquifer. Tests included eight single-hole pumping and recovery tests and three slug tests (in a single well). These investigations were conducted in the Wet Mountain Valley, in Custer and Fremont Counties, Colorado. The U.S. Geological Survey (USGS) conducted aquifer tests in May, 2019. These aquifer tests inform the conceptual understanding of the valley-fill aquifer and serve as primary inputs to the numerical groundwater-flow model. Testing was completed in cooperation with the Upper Arkansas Water Conservancy District. This data release contains raw data from aquifer tests, water-level and pumping discharge rate measurements, well logs, graphs of the testing data, and plots of analytical solutions.
Water-level and well-discharge data related to aquifer testing in Wet Mountain Valley, Colorado, 2019
공공데이터포털
Short-term aquifer tests were conducted to estimate hydraulic properties in an alluvial aquifer. Tests included eight single-hole pumping and recovery tests and three slug tests (in a single well). These investigations were conducted in the Wet Mountain Valley, in Custer and Fremont Counties, Colorado. The U.S. Geological Survey (USGS) conducted aquifer tests in May, 2019. These aquifer tests inform the conceptual understanding of the valley-fill aquifer and serve as primary inputs to the numerical groundwater-flow model. Testing was completed in cooperation with the Upper Arkansas Water Conservancy District. This data release contains raw data from aquifer tests, water-level and pumping discharge rate measurements, well logs, graphs of the testing data, and plots of analytical solutions.
Aquifer slug test data, San Antonio Creek Valley watershed, Santa Barbara County, California, 2017.
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To determine aquifer properties in the San Antonio Creek Valley watershed (SACVW) single well air and physical slug aquifer tests were conducted on seventeen monitoring wells at nine sites beginning on August 7 2017 and ending on August 13, 2017 . For all tests either a physical or air slug was used based on the distance of the groundwater level from the perforated interval of the well. A physical slug was used if the distance from the groundwater level to the top of the perforated interval was less than seven feet (ft); otherwise an air slug was used. above the screened interval than a physical slug was used. Physical slug tests were used in order to produce enough change in groundwater levels to adequately characterize the hydraulic conductivity, but without losing air to the aquifer which would significantly affect the outcome and interpretation of the test. Aquifer slug tests were conducted in order to estimate the hydraulic conductivity of aquifer units within the SACVW. The perforation intervals of the 17 monitoring wells in which aquifer slug tests were conducted varied between 45 ft below land surface and 940 ft below land surface providing a range of aquifer zones to study.
Aquifer slug test data, San Antonio Creek Valley watershed, Santa Barbara County, California, 2017.
공공데이터포털
To determine aquifer properties in the San Antonio Creek Valley watershed (SACVW) single well air and physical slug aquifer tests were conducted on seventeen monitoring wells at nine sites beginning on August 7 2017 and ending on August 13, 2017 . For all tests either a physical or air slug was used based on the distance of the groundwater level from the perforated interval of the well. A physical slug was used if the distance from the groundwater level to the top of the perforated interval was less than seven feet (ft); otherwise an air slug was used. above the screened interval than a physical slug was used. Physical slug tests were used in order to produce enough change in groundwater levels to adequately characterize the hydraulic conductivity, but without losing air to the aquifer which would significantly affect the outcome and interpretation of the test. Aquifer slug tests were conducted in order to estimate the hydraulic conductivity of aquifer units within the SACVW. The perforation intervals of the 17 monitoring wells in which aquifer slug tests were conducted varied between 45 ft below land surface and 940 ft below land surface providing a range of aquifer zones to study.
Slug test analysis results from unconsolidated and bedrock aquifers at Badger Army Ammunition Plant, Sauk County, Wisconsin, 2020
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This data release contains water level data and analytical results from slug tests performed at 12 wells at Badger Army Ammunition Plant (BAAP), Sauk County, Wisconsin. Water-level data, representing the displacement and recovery of groundwater levels with time in wells during slug tests, are provided in comma delimited files. Analytical results are provided in AQTESOLV files (*.aqt files) and *.pdf summary files.
Slug test analysis results from unconsolidated and bedrock aquifers at Badger Army Ammunition Plant, Sauk County, Wisconsin, 2020
공공데이터포털
This data release contains water level data and analytical results from slug tests performed at 12 wells at Badger Army Ammunition Plant (BAAP), Sauk County, Wisconsin. Water-level data, representing the displacement and recovery of groundwater levels with time in wells during slug tests, are provided in comma delimited files. Analytical results are provided in AQTESOLV files (*.aqt files) and *.pdf summary files.
Water-level data and results for slug tests performed in 17 wells in Wake County, North Carolina, 2020 and 2021
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A water-supply plan is being developed for Wake County, North Carolina, in accordance with the 50-year planning window used by the North Carolina Division of Water Resources for residents in unincorporated areas of the county. To develop this supply plan, Wake County seeks to better understand the sustainability of groundwater resources of the regolith/fractured-rock aquifer system. Slug tests were performed in 17 wells in the Wake County area, during 2020 and 2021, to provide values of horizontal hydraulic conductivity and transmissivity to support the development of Wake County’s water-supply plan. Wake County is in the Piedmont physiographic province. The two principal aquifers are nonconsolidated regolith overlying fractured-crystalline rock. The regolith is weathered remains of crystalline rock. Most of the groundwater storage is within the regolith. The fracture-crystalline rock is mostly metamorphic rock with igneous intrusions and some Triassic sedimentary rock. This data release is made up of 17 directories, one for each well, plus general support files. Within the 17 well directories are files specific to the wells. Files in each directory include water-level data files as recorded by In-Situ Level Troll 700 self-logging pressure transducer during the time that one or two slug tests were being performed in the well, culled-data files containing small, manageable time-series of water levels that represent the slug test, and a copy of the field form. The culled data were analyzed in an analysis_BR spreadsheet that uses concepts from the Bouwer and Rice (1976) and is described in Halford and Kuniansky (2002). This data release also contains support files that summarize information about the data files and culled-data files, well characteristics, analyses, results, manual water-level measurements, and metadata (*.xml and README.txt).