人民黄河2026，Vol.48Issue(1)：103-108,6.DOI:10.3969/j.issn.1000-1379.2026.01.016
基于动态剪枝穷举法的LID设施优化研究
Research on LID Facility Optimization Based on Dynamic Pruning Exhaustive Method
摘要
Abstract
Low Impact Development(LID)facilities,as a sustainable stormwater management measure,demonstrate significant effectiveness in mitigating urban inundation,reducing peak runoff,and improving water quality.However,scientifically optimizing the layout and scale of LID facilities to achieve both runoff reduction and economic feasibility remains a challenging task.This study focused on the Haizhou District of Lianyungang City,Jiangsu Province.Integrating the characteristics of urban functional zones,it proposed a bidirectional dynamic pruning-based global exhaustive search method,which employs differentiated runoff control rates to ensure the precise matching of LID facility types and scales.A cross-scale coupling model for surface runoff and surface inundation was established by integrating the SWMM hydrological model with the LISFLOOD-FP hydrodynamic model.The results indicated that under a 2-year return period,the runoff control rate increased from 31.9%to 64.1%,the peak runoff decreased by 63.5%,the total inundation volume was reduced by 89%,the inundated area was re-duced by 73.6%,and deep inundation zones(with depths greater than 0.5 m)were virtually eliminated.The bidirectional dynamic pruning exhaustive method under heterogeneous constraints effectively balanced spatial adaptability and global economic feasibility.The dynamic prun-ing strategy,by eliminating ineffective LID combinations,reduced the computational load by 58.7%,demonstrating the practicality of this al-gorithm for low-dimensional nonlinear optimization problems.关键词
低影响开发/径流控制/SWMM模型/LISFLOOD-FP模型/海绵城市/穷举法Key words
low lmpact development/runoff control/SWMM model/LISFLOOD-FP model/sponge city/exhaustive method分类
建筑与水利引用本文复制引用
LIU Ankang,XU Qing,ZHU Wenjin,ZHANG Yang,XIE Baozhu,TANG Xinyue,KUANG Lijie..基于动态剪枝穷举法的LID设施优化研究[J].人民黄河,2026,48(1):103-108,6.基金项目
江苏海洋大学博士科研启动经费资助项目(KQ23036) （KQ23036）
江苏省自然科学基金资助项目(BK20230692) （BK20230692）
