*Si-Xian Liu1, Yong-Lin Chen2, Hong-Ru Lin2, Shao-Yang Huang3, Tian-Chyi Jim Yeh4, Jet-Chau Wen3,5
(1.Graduate School of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology, 2.Graduate School of Engineering Science and Technology, National Yunlin University of Science and Technology, 3.Research Center for Soil & Water Resources and Natural Disaster Prevention (SWAN), National Yunlin University of Science and Technology, 4.Department of Hydrology and Atmospheric Sciences, The University of Arizona, 5.Department and Graduate School of Safety Health and Environmental Engineering, National Yunlin University of Science and Technology)
Keywords:Boundary effect, Hydraulic tomography, Sequential pumping test, Heterogeneity
Over the last decades, hydraulic tomography (HT), that is an aquifer test technology has been widely developed and successfully utilized into several field sites in order to delineate the heterogeneous distributions of hydraulic properties. Yet, field uncertainties, such as earthquakes, tides, and boundary effects, may influence hydraulic properties while using HT. The data of the field site boundary conditions, for instance, cannot be easily defined and often set as prescribed heads or fluxes, leading to inaccurate findings. This study investigates possible outcomes of boundary conditions by applying HT field data in different numerical models, so to detect the most effective simulation process for hydraulic property estimations. Specifically, Three numerical models: (1) the boundary condition of prescribed head; (2) the boundary condition of variable head by kriging method; and (3) the boundary condition of variable head using the sensitivity equation method (SEM) are compared for estimating the heterogeneous distributions of hydraulic properties by using data from the sequential pumping tests at field site. According to the results, model (3) presents hydraulic property estimations more precise to the field data; therefore, it can be stated that the boundary conditions of this model can minimize uncertainties affecting the results. By establishing monitoring wells in field sites of known boundaries and recording long-term groundwater level modifications, real conditions of heterogeneous aquifers can be further defined.