大连理工大学学报2026，Vol.66Issue(1)：103-110,8.DOI:10.7511/dllgxb202601013
基于改进POT模型的土石坝渗流监控指标拟定方法
Method based on improved POT model for determining seepage monitoring index of earth-rock dam
摘要
Abstract
In view of the shortcomings of the existing methods for determining seepage monitoring index of earth-rock dam,which are subjective and low in accuracy,an optimization method for determining seepage monitoring index of earth-rock dam is proposed based on the improved peaks over threshold(POT)model using intelligent algorithm.Using 3σ criterion as the principle of determining the most reasonable threshold,the improved chaos sparrow search algorithm(ICSSA),which is based on chaotic mapping and dynamic selection strategy combined with Levy flight and reverse learning,is adopted to optimize the selection method for threshold of POT model.The ICSSA-POT model is established to realize the fitting of the tail data of monitoring data,so as to obtain a more reasonable seepage monitoring index of earth-rock dam.Research shows that compared with traditional methods,the proposed method can effectively avoid subjectivity and random errors,and the fitting determination coefficient of the obtained tail data of monitoring data is increased by 5％,which has higher calculation accuracy.The proposed seepage monitoring index is more safety oriented,and has strong guiding significance for preventing seepage damage of earth-rock dam and ensuring safe and long-term operation of earth-rock dam.关键词
土石坝/渗流监测/POT模型/麻雀搜索算法/参数优化Key words
earth-rock dam/seepage monitoring/POT model/sparrow search algorithm/parameter optimization分类
航空航天引用本文复制引用
周扬,李初寅,庞锐,徐斌..基于改进POT模型的土石坝渗流监控指标拟定方法[J].大连理工大学学报,2026,66(1):103-110,8.基金项目
国家自然科学基金资助项目(52379117,52279096,52279125) （52379117,52279096,52279125）
辽宁省科技计划联合计划资助项目(2023021239-JH2/1017). （2023021239-JH2/1017）
