𝔖 Bobbio Scriptorium
✦   LIBER   ✦

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

✍ Scribed by H. S. Gau; C. W. Liu


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
294 KB
Volume
14
Category
Article
ISSN
0885-6087

No coin nor oath required. For personal study only.

✦ Synopsis


Eectively managing groundwater relies heavily on estimating the amount of precipitation that may in®ltrate 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 coecient is also investigated based on an uncon®ned aquifer with an unbound, in®nitely extended boundary condition. Moreover, a spectrum's relationship to the precipitation and groundwater level variation is also derived. The precipitation recharge coecient 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 coecient. Analysis results indicate that the location of an observation well aects the estimated precipitation recharge coecient. If the precipitation recharge area is large enough, the precipitation recharge coecient 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 coecient upstream of the Cho-Shui River alluvial fan. According to those results, the precipitation recharge coecient 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.