Assessing the Connectivity of a Regional Fractured Aquifer Based on a Hydraulic Conductivity Field Reversed by Multi-Well Pumping Tests and Numerical Groundwater Flow Modeling
Jingjing Lin, Rui Ma, Ziyong Sun, Liansong Tang
Journal of Earth Science ›› 2023, Vol. 34 ›› Issue (6) : 1926-1939.
Assessing the Connectivity of a Regional Fractured Aquifer Based on a Hydraulic Conductivity Field Reversed by Multi-Well Pumping Tests and Numerical Groundwater Flow Modeling
Aquifer connectivity could greatly affect groundwater flow and further control the contaminant transport in fractured medium. However, assessing connectivity of fractured aquifer at regional scales is still a challenge because such connectivity is difficult to be measured directly. This study proposes a framework for assessing connectivity of a fractured aquifer, with Qitaihe area, Heilongjiang Province, northeastern China as an illustrating study area. The 3-D finite difference numerical models were established to interpret the results of three multi-well pumping tests and inversely estimate the distribution of hydraulic conductivity (K) in the fractured aquifer. A static connectivity metric of the minimum hydraulic resistance (MHR) was calculated, based on the optimized K-field, to evaluate the hydraulic connectivity in the aquifer, and the corresponding least resistance paths (LRPs) were identified. The results indicate a better horizontal connectivity in the fractured aquifer in the northeastern and middle parts than in the southwestern part of the study area. The identified LRP indicated that the preferential flow channels at regional scales were controlled mainly by aquifer connectivity instead of local high-K zones. The results of this study can provide a method for aquifer connectivity estimation at regional scales.
numerical modeling / aquifer connectivity / groundwater flow / hydraulic conductivity / minimum hydraulic resistance / least resistance paths
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Harbaugh, A. W., 2005. MODFLOW-2005, the U. S. Geological Survey Modular Ground-Water Model—The Ground-Water Flow Process, Techniques and Methods 6-A16. U. S. Geological Survey. https://doi.org/10.3133/tm6A16
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