水科学进展2025，Vol.36Issue(3)：412-424,13.DOI:10.14042/j.cnki.32.1309.2025.03.005
太湖平原水网区雨洪响应特征及其影响因素
Changes of rainfall-flood response characteristics and its influencing factor over the Taihu river network plain region
摘要
Abstract
To investigate the patterns of rainfall-flood response and identify their key drivers in urbanized river network plain regions,this study focuses on the Wuchengxiyu area within the Taihu Lake basin.Based on hydrological observations from diverse urban river network units,four rainfall-flood response characteristic indices were established and a comparative analysis was then performed to discern variations in these responses across typical urban river network units,utilizing interpretable machine learning to probe into the multifactorial influences at play.The results reveal that regions characterized by sparse river networks,a high proportion of impervious surfaces,and being situated beyond urban flood control embankment systems experience the highest peak flood water levels for every rainfall intensity,along with the most intense rainfall-flood response processes,and the magnitude,scale,and dynamic characteristics of flood peaks are primarily controlled by rainfall features and pre-event river channel conditions.The impervious surface ratio significantly and positively impacts the rate at which floodwaters rise,while the ratio of the water surface area and the area-length ratio of the mainstream are pivotal in mitigating flood peaks and regulating flood flows.These findings contribute to a deeper scientific understanding of rainfall-flood response characteristics and their underlying mechanisms in plain river network regions,thus laying a solid foundation for flood risk mitigation and river system conservation.关键词
雨洪响应特征/次降雨事件/可解释机器学习/平原水网区/太湖流域Key words
rainfall-flood response characteristics/rainfall event division/interpretable machine learning/river network plain region/Taihu Lake basin分类
建筑与水利引用本文复制引用
林芷欣,罗爽,王强,许有鹏,陆苗,林炳青..太湖平原水网区雨洪响应特征及其影响因素[J].水科学进展,2025,36(3):412-424,13.基金项目
国家自然科学基金项目(U2240203 （）
42471035) The study is financially supported by the National Natural Science Foundation of China(No.U2240203 （）
No.42471035). （）
