Supplemental Data: Surface Infiltration and Unsaturated Zone Characterization in Support of Managed Aquifer Recharge in Bedell Flat, Washoe County, Nevada
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This USGS data release presents tabular data and photos used to determine (1) the duration of flow, subsurface temperature, and concurrent infiltration along an ephemeral channel and (2) vertical change of soil moisture, texture, and pore-water chemistry in the unsaturated zone at selected locations. The data were collected to investigate the feasibility of managed aquifer recharge (MAR) for aquifer storage and recovery in Bedell Flat hydrographic area, Nevada. The supplemental data consist of 4 tabular datasets and time-lapse photographs of discharge events. Data in this release include: (1) Bird Springs channel site location information (tabular data), (2) Bird Springs channel stream stage and subsurface temperature data (tabular data), (3) Bird Springs channel temperature and flow sensor data; the latter dataset is uncalibrated electrical conductivity (EC) data used to determine the duration of stream discharge (tabular data), (4) Bird Springs channel time-lapse photographs (digital photographs), and (5) Soil moisture, texture, and chemical compositions of water extractions from bulk sediments and cores from Bedell Flat (tabular data).
Datasets for the 2015 potentiometric surfaces and changes in groundwater levels (2009-2015), in the Cockfield (upper Claiborne) and Wilcox aquifers, in northeastern and southern Arkansas
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Datasets includes groundwater well locations and 2015 water-level measurements for 31 wells, 20-foot contours, and water-level change for 31 wells measured in 2009 and 2015 of the Cockfield (upper Claiborne) aquifer. Data also includes groundwater well locations and 2015 water-level measurements for 37 wells, 10-foot contours of the northern Wilcox aquifer, 20-foot contours of the southern Wilcox aquifer, and water-level change for 31 wells measured in 2009 and 2015 of the Wilcox aquifer. Rasters for each aquifer were also constructed. Well-location and water-level data are publicly available from the U.S. Geological Survey's National Water Information System, April through June 2015 (U.S. Geological Survey, 2016).
Selected water-level data for the shallow aquifer system in the Lower Gunnison River Basin, Colorado
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This point dataset contains water-level information concerning depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system at selected well and borehole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Depth-to-water data were compiled from measurements reported by the Colorado Division of Water Resources, U.S. Geological Survey, and Bureau of Reclamation. Potentiometric-surface altitude values were computed from the potentiometric-surface altitude raster dataset (potalt). Saturated-thickness values were computed from the saturated-thickness raster dataset (satthk). The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
Selected water-level data for the shallow aquifer system in the Lower Gunnison River Basin, Colorado
공공데이터포털
This point dataset contains water-level information concerning depth to water, potentiometric-surface altitude, and saturated thickness for the shallow groundwater system at selected well and borehole locations in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Depth-to-water data were compiled from measurements reported by the Colorado Division of Water Resources, U.S. Geological Survey, and Bureau of Reclamation. Potentiometric-surface altitude values were computed from the potentiometric-surface altitude raster dataset (potalt). Saturated-thickness values were computed from the saturated-thickness raster dataset (satthk). The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.
Supplemental water-level change data used to substantiate the map of water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017
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The High Plains aquifer extends from about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital data set consists of three sets of water-level measurements. The first set are the supplemental water-level measurements for 457 wells screened in the High Plains aquifer, not located in New Mexico , and measured in predevelopment, and between 2013 and 2016, but not in 2017. These supplemental measurements were used to calculate historical water-level change values for predevelopment to 2013 to 2016 and approximate water-level change values from predevelopment to 2017 to substantiate the map of water-level changes, predevelopment (about 1950) to 2017. The water-level measurements used to calculate historical water-level changes from predevelopment are (1) 223 wells measured in predevelopment and in 2016, but not measured in 2017, which are used to calculate water-level change, predevelopment to 2016, (2) 83 wells measured in predevelopment and in 2015, but not measured in 2016 or 2017, which are used to calculate water-level change, predevelopment to 2015, (3) 86 wells measured in predevelopment and in 2014, but not measured in 2015, 2016, or 2017, which are used to calculate water-level change, predevelopment to 2014, and (4) 65 wells measured in predevelopment and in 2013, but not measured in 2014, 2015, 2016, or 2017, which are used to calculate water-level change, predevelopment to 2013. Two additional sets of water-level measurements were used to approximate water-level change, predevelopment to 2017, but did not have predevelopment water-level measurements. The first set included 296 wells, which were located in areas where water level declines from predevelopment to 1980 were 50 feet or more (Luckey and others, 1981; Cederstrand and Becker, 1999) and were measured in 1980 and in 2017, but not measured in the predevelopment period. For these wells, approximate water-level changes, predevelopment to 2017, were calculated as the beginning contour interval from the map of water-level change, predevelopment to 1980, plus measured water-level change from 1980 to 2017. The second set of water-level measurements used to calculate approximate water-level changes were from 1,134 wells that were measured on or before 6/15/1978 (termed post-development) and in 2017, but not in the predevelopment period. For these wells, approximate water-level changes, predevelopment to 2017, were calculated as the water level, 2017, minus water level, post-development.
Supplemental water-level change data used to substantiate the map of water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017
공공데이터포털
The High Plains aquifer extends from about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital data set consists of three sets of water-level measurements. The first set are the supplemental water-level measurements for 457 wells screened in the High Plains aquifer, not located in New Mexico , and measured in predevelopment, and between 2013 and 2016, but not in 2017. These supplemental measurements were used to calculate historical water-level change values for predevelopment to 2013 to 2016 and approximate water-level change values from predevelopment to 2017 to substantiate the map of water-level changes, predevelopment (about 1950) to 2017. The water-level measurements used to calculate historical water-level changes from predevelopment are (1) 223 wells measured in predevelopment and in 2016, but not measured in 2017, which are used to calculate water-level change, predevelopment to 2016, (2) 83 wells measured in predevelopment and in 2015, but not measured in 2016 or 2017, which are used to calculate water-level change, predevelopment to 2015, (3) 86 wells measured in predevelopment and in 2014, but not measured in 2015, 2016, or 2017, which are used to calculate water-level change, predevelopment to 2014, and (4) 65 wells measured in predevelopment and in 2013, but not measured in 2014, 2015, 2016, or 2017, which are used to calculate water-level change, predevelopment to 2013. Two additional sets of water-level measurements were used to approximate water-level change, predevelopment to 2017, but did not have predevelopment water-level measurements. The first set included 296 wells, which were located in areas where water level declines from predevelopment to 1980 were 50 feet or more (Luckey and others, 1981; Cederstrand and Becker, 1999) and were measured in 1980 and in 2017, but not measured in the predevelopment period. For these wells, approximate water-level changes, predevelopment to 2017, were calculated as the beginning contour interval from the map of water-level change, predevelopment to 1980, plus measured water-level change from 1980 to 2017. The second set of water-level measurements used to calculate approximate water-level changes were from 1,134 wells that were measured on or before 6/15/1978 (termed post-development) and in 2017, but not in the predevelopment period. For these wells, approximate water-level changes, predevelopment to 2017, were calculated as the water level, 2017, minus water level, post-development.
Supplemental water-level change data used to substantiate the map of water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2017
공공데이터포털
The High Plains aquifer extends from about 32 degrees to almost 44 degrees north latitude and from about 96 degrees 30 minutes to 106 degrees west longitude. The aquifer underlies about 175,000 square miles in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. This digital data set consists of three sets of water-level measurements. The first set are the supplemental water-level measurements for 457 wells screened in the High Plains aquifer, not located in New Mexico , and measured in predevelopment, and between 2013 and 2016, but not in 2017. These supplemental measurements were used to calculate historical water-level change values for predevelopment to 2013 to 2016 and approximate water-level change values from predevelopment to 2017 to substantiate the map of water-level changes, predevelopment (about 1950) to 2017. The water-level measurements used to calculate historical water-level changes from predevelopment are (1) 223 wells measured in predevelopment and in 2016, but not measured in 2017, which are used to calculate water-level change, predevelopment to 2016, (2) 83 wells measured in predevelopment and in 2015, but not measured in 2016 or 2017, which are used to calculate water-level change, predevelopment to 2015, (3) 86 wells measured in predevelopment and in 2014, but not measured in 2015, 2016, or 2017, which are used to calculate water-level change, predevelopment to 2014, and (4) 65 wells measured in predevelopment and in 2013, but not measured in 2014, 2015, 2016, or 2017, which are used to calculate water-level change, predevelopment to 2013. Two additional sets of water-level measurements were used to approximate water-level change, predevelopment to 2017, but did not have predevelopment water-level measurements. The first set included 296 wells, which were located in areas where water level declines from predevelopment to 1980 were 50 feet or more (Luckey and others, 1981; Cederstrand and Becker, 1999) and were measured in 1980 and in 2017, but not measured in the predevelopment period. For these wells, approximate water-level changes, predevelopment to 2017, were calculated as the beginning contour interval from the map of water-level change, predevelopment to 1980, plus measured water-level change from 1980 to 2017. The second set of water-level measurements used to calculate approximate water-level changes were from 1,134 wells that were measured on or before 6/15/1978 (termed post-development) and in 2017, but not in the predevelopment period. For these wells, approximate water-level changes, predevelopment to 2017, were calculated as the water level, 2017, minus water level, post-development.
Soil-Water-Balance model data sets for the Interstate 94 corridor surficial aquifer, Clearwater to Elk River, Minnesota, 2010-2014
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A soil-water balance model (SWB) was developed to estimate potential recharge to the Interstate 94 Corridor surficial aquifer, located in central Minnesota, for the period 2010 through 2014. The model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Furthermore, the model was based upon the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). The model was used to estimate recharge to the surficial aquifer system as part of a preliminary water budget exercise described in the associated report (http://dx.doi.org/10.3133/sir20175114).
Soil-Water-Balance model data sets for the Interstate 94 corridor surficial aquifer, Clearwater to Elk River, Minnesota, 2010-2014
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A soil-water balance model (SWB) was developed to estimate potential recharge to the Interstate 94 Corridor surficial aquifer, located in central Minnesota, for the period 2010 through 2014. The model was not calibrated; however, various water budget components from the model output compared reasonably well with other estimates. Furthermore, the model was based upon the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific Investigations Report 2015-5038 (http://dx.doi.org/10.3133/sir20155038). The model was used to estimate recharge to the surficial aquifer system as part of a preliminary water budget exercise described in the associated report (http://dx.doi.org/10.3133/sir20175114).