Estimation of the effective precipitation recharge coefficient in an unconfined aquifer using stochastic analysis Export

@article{gau2000a, abstract = {Effectively managing groundwater relies heavily on estimating the amount of precipitation that may infiltrate the subsurface and supply groundwater. In this study, we present a novel estimation method based on a stochastic approach to evaluate the quantity of precipitation that may recharge groundwater. The precipitation recharge coefficient is also investigated based on an unconfined aquifer with an unbound, infinitely extended boundary condition. Moreover, a spectrum's relationship to the precipitation and groundwater level variation is also derived. The precipitation recharge coefficient can be obtained from the solution of the spectrum equation. Furthermore, sensitivity analysis is performed in order to determine the key variable on the precipitation recharge coefficient. Analysis results indicate that the location of an observation well affects the estimated precipitation recharge coefficient. If the precipitation recharge area is large enough, the precipitation recharge coefficient becomes insensitive to the location of the observation well. The spectrum's relationship between the precipitation recharge and groundwater level variation is also applied when estimating the precipitation recharge coefficient upstream of the Cho-Shui River alluvial fan. According to those results, the precipitation recharge coe.cient is 0.03 and the amount of groundwater recharge from precipitation is 35 million tons of water annually upstream of the Cho-Shui River alluvial fan. -Groundwater Recharge}, author = {Gau, H. S. and Liu, C. W.}, citeulike-article-id = {329018}, journal = {Hydrological Processes}, keywords = {analysis, aquifer, coefficient, precipitation, recharge, stochastic, unconfined}, pages = {811--830}, posted-at = {2005-09-21 17:36:38}, priority = {0}, title = {Estimation of the effective precipitation recharge coefficient in an unconfined aquifer using stochastic analysis}, volume = {14}, year = {2000} }

TY - JOUR ID - gau2000a L3 - citeulike-article-id:329018 N2 - Effectively managing groundwater relies heavily on estimating the amount of precipitation that may infiltrate the subsurface and supply groundwater. In this study, we present a novel estimation method based on a stochastic approach to evaluate the quantity of precipitation that may recharge groundwater. The precipitation recharge coefficient is also investigated based on an unconfined aquifer with an unbound, infinitely extended boundary condition. Moreover, a spectrum's relationship to the precipitation and groundwater level variation is also derived. The precipitation recharge coefficient can be obtained from the solution of the spectrum equation. Furthermore, sensitivity analysis is performed in order to determine the key variable on the precipitation recharge coefficient. Analysis results indicate that the location of an observation well affects the estimated precipitation recharge coefficient. If the precipitation recharge area is large enough, the precipitation recharge coefficient becomes insensitive to the location of the observation well. The spectrum's relationship between the precipitation recharge and groundwater level variation is also applied when estimating the precipitation recharge coefficient upstream of the Cho-Shui River alluvial fan. According to those results, the precipitation recharge coe.cient is 0.03 and the amount of groundwater recharge from precipitation is 35 million tons of water annually upstream of the Cho-Shui River alluvial fan. -Groundwater Recharge JF - Hydrological Processes EP - 830 TI - Estimation of the effective precipitation recharge coefficient in an unconfined aquifer using stochastic analysis VL - 14 SP - 811 KW - analysis KW - aquifer KW - coefficient KW - precipitation KW - recharge KW - stochastic KW - unconfined AU - Gau, HS AU - Liu, CW PY - 2000/// ER -