![]() | Only 14 pages are availabe for public view |
Abstract By modeling soils as spatially random media, the soils’ properties of primary interest are its hydraulic conductivity K or transimssivity T. Prediction of dewatering and upconing is then obtained using the finite difference method. In this study probabilistic measures of upconing due to dewatering using a three-dimensional model combined with Monte Carlo simulations are presented The effect of variability on transsmissivity ,T, or hydraulic conductivity, K, on the piezometric head and upcoming ,respectively, is considerable. Usually designers use deterministic models to get piezometric head and upconing values, although there are many values of transmissivity and/or hydraulic conductivity. The developed model based on the present study assistants the designers to decrease the pumping cost. The developed model calculates upconing and piezometric head by using program language MATLAB. It was found that to be an intelligent designed, simple, powerful, and useful modeling package. The particular advantages that the finite difference method offers are desirable in many cases. Design charts were developed to calculate dewatering systems and corresponding upconing. charts of modification factor change with the Coefficient of Variation ,C.O.V, number of wells and discharge. The developed design aids to get safe penetration length of the pumping well and upconing of salt water |