水力层析法在非均质含水层刻画中的增量信息作用研究OA

Hydraulic tomography is a high-resolution method for inverting the spatial distribution of hydrogeological parameters in aquifers through multiple sets of cross-hole pumping tests.However,there is a lack of insightful research on how much additional pumping tests can improve the characterization of aquifer heterogeneity.Based on the iterative ensemble Kalman smoother algorithm,this study validated the role of multiple pumping tests using virtual random field cases and actual site data.In the virtual case,a Gaussian random field was generated as the reference hydraulic conductivity field,and steady-state head drawdowns from 9 pumping tests were simulated as observation data with different levels of added noise.Results showed that as the number of pumping tests increased from 1 to 4,details of the inverted hydraulic conductivity field gradually emerged,with increasingly clear contours of high and low permeability zones.Although noise disturbance reduced resolution,incremental tests still improved estimation accuracy.In the actual case scenario,the first 1 to 4 sets of test data were used to invert the hydraulic conductivity field,and the inversion results were applied to predict heads from the 5th to 9th tests.Prediction accuracy improved with the increase in the number of tests included in the inversion,indicating that additional pumping tests provide non-redundant information and enhance aquifer characterization precision.This study confirms the advantages of hydraulic tomography in the absence of prior knowledge of real parameters and provides a reference for refined management of heterogeneous aquifers.