HAOLong,HUIJian-wei,HUXiao-ming,et al.Performance of Filter Layer in Infiltration Gallery under Varying Permeability Coefficients: Simulation and Optimization[J].China Water & Wastewater,2025,41(13):94-99.
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Performance of Filter Layer in Infiltration Gallery under Varying Permeability Coefficients: Simulation and Optimization

China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU] volume: 第41卷 Number: 第13期 Page: 94-99 Column: Date of publication: 2025-07-01
Author(s):
HAO　Long1;  HUI　Jian-wei1;  HU　Xiao-ming2;  ZHOU　Guo-hua3; 4; 5;  CHEN　Liang4; 5
（1. China Railway 20th Bureau Group Sixth Engineering Co. Ltd.， Xi’an 710032， China； 2. Shandong Province Traffic Planning and Design Institute Group Co. Ltd.， Jinan 250101， China； 3. North China Municipal Engineering Design & Research Institute Co. Ltd.， Tianjin 300074； 4. State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation， Tianjin University， Tianjin 300354， China； 5. School of Civil Engineering， Tianjin University， Tianjin 300354， China）
Keywords:
infiltration gallery;  filter;  turbidity;  HYDRUS;  anti-blocking;  permeability coefficient
Abstract:
Discharge volume at the filter layer was initially simulated and predicted using a curve regression model by integrating the physical simulation test of the infiltration gallery for the emergency water source project in the main urban area of Shijiazhuang City. Subsequently, the obtained discharge volume data were incorporated into the HYDRUS model as variation conditions to predict the water quality at the filter layer. As the turbidity of the influent increased, a greater amount of suspended solids accumulated within the filter layer. This not only further reduced the turbidity of the effluent but also led to a decrease in water volume. The variation of the effluent flow velocity (vt) with respect to operating time t can be predicted using the equation vt=v0e-Tt, where v0 represents the initial effluent flow velocity, and the parameter T exhibits a linear correlation with the influent turbidity C0. Meanwhile, the HYDRUS model was employed to simulate and predict the effluent turbidity by considering the effluent volume as the variation condition. The results demonstrated a high degree of fitting accuracy, with a coefficient of determination (R2) not less than 0.97. Combined with the simulation results of the HYDRUS model, it is essential to incorporate anti-blocking measures such as pre-sedimentation tanks, post-sedimentation tanks, anti?filtration systems, and river gravel permeable dams within the infiltration gallery to ensure its operational efficiency.
Last Update: 2025-07-01