[1]郝龙,惠建伟,胡小明,等.变化渗透系数下集水廊道滤料层性能模拟及优化[J].中国给水排水,2025,41(13):94-99.
　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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变化渗透系数下集水廊道滤料层性能模拟及优化

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第41卷 期数: 2025年第13期 页码: 94-99 栏目: 出版日期: 2025-07-01
Title:
Performance of Filter Layer in Infiltration Gallery under Varying Permeability Coefficients: Simulation and Optimization
作者:
郝龙1， 惠建伟1， 胡小明2， 周国华3,4,5， 陈亮4,5
（1.中铁二十局集团第六工程有限公司，陕西 西安 710032；2.山东省交通规划设计院集团有限公司，山东 济南 250101；3.中国市政工程华北设计研究总院有限公司，天津 300074；4.天津大学 水利工程智能建设与运维全国重点实验室，天津 300354；5.天津大学 建筑工程学院，天津 300354）
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）
关键词:
集水廊道;  滤料;  浊度;  HYDRUS;  防堵塞;  渗透系数
Keywords:
infiltration gallery;  filter;  turbidity;  HYDRUS;  anti-blocking;  permeability coefficient
摘要:
结合石家庄市主城区应急水源工程集水廊道物理模拟试验，首先利用曲线回归模型对滤料层出水量进行模拟预测，再将水量结果输入HYDRUS模型作为变化条件来预测滤料层出水水质。结果表明，随着进水浊度的升高，更多悬浮物淤积在滤料层，在进一步降低出水浊度的同时也降低了出水量；出水流速（vt）随运行时间t的变化可由方程预测，其中v0为初始出水流速，而T值与进水浊度C0线性相关。同时，以出水量作为变化条件，采用HYDRUS模型对出水浊度进行模拟预测，拟合度良好（R2≥0.97）。结合HYDRUS模型的模拟结果，为保证集水廊道的运行效果，有必要在集水廊道中增加前置及后置沉淀池、反过滤系统和河道碎石透水坝等防堵塞设施。
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.

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更新日期/Last Update: 2025-07-01