Download Free The Carbonate Aquifer Of The Central Roswell Basin Recharge Estimation By Numerical Modeling Book in PDF and EPUB Free Download. You can read online The Carbonate Aquifer Of The Central Roswell Basin Recharge Estimation By Numerical Modeling and write the review.

A numerical soil-water-balance (SWB) model was used to estimate groundwater recharge in the Williston and Powder River structural basins in the Northern Great Plains. The SWB model consisted of [1 km2] grid cells across the entire study area. Recharge was estimated for glacial deposits and exposed areas of the Lower Tertiary and Upper Cretaceous aquifer systems in the Dakotas, Montana, Wyoming, Saskatchewan, and Manitoba. The water-table fluctuation (WTF) and chloride mass-balance (CMB) methods were applied to local areas with available groundwater-level and chloride data. SWB model results were compared to the WTF and CMB results, potentiometric surfaces, and previous investigations. A sensitivity analysis was conducted for the SWB model input parameters. The annual SWB model recharge rates were averaged from 1981 to 2011. Average calculated recharge in the Williston basin was 0.190 in/yr [(1,281 ft3sec)] and ranged from no recharge to 4.71 in/yr. Calculated recharge decreased to the west and was greatest in the northeastern part of the basin where glaciofluvial deposits are present. Recharge was calculated to be about 1.1 percent of precipitation in the Williston basin. Average recharge in the Powder River basin was 0.136 in/yr [(248 ft3/sec)] and ranged from no recharge to 4.46 in/yr. Calculated recharge rates are greatest during the late spring and early summer for both basins. Recharge was about 0.8 percent of precipitation in the Powder River basin. The SWB models did not activate the surface-water flow routing algorithm; therefore, recharge is probably underestimated and a scale factor could be used to account for the additional recharge to downslope cells from surface-water runoff. Diffuse recharge estimates from the SWB models are reasonable and compare reasonably well with local recharge estimation results, potentiometric surfaces, and previous investigations. However, the SWB model results should be used cautiously, keeping in mind the assumptions of the model and the input data.