水文变异下普者黑下游河段生态流量研究  

Study on Ecological Flow in the Downstream Section of Puzhehei River under Hydrological Variability

作　　者：许开和 邹进[1] 胡宇昕 牛鹏举 伍刚[1] Xu Kai-he;Zou Jin;Hu Yu-xin;Niu Peng-ju;Wu Gang(Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming 650500,Yunnan,China)

机构地区：[1]昆明理工大学电力工程学院,云南昆明650500

出　　处：《中国水运》2025年第3期62-64,共3页

基　　金：国家自然科学基金项目(41061053)。

摘　　要：本文研究了文山州丘北县清水河普者黑下游河段的生态流量问题。通过综合使用滑动T检验法等四种方法,确定了1997年为水文变异年份。利用Adam优化算法优化标准BP神经网络,成功还原了水文变异后的径流数据。基于还原的径流数据,对五种概率分布函数进行拟合优度检验,选出最优函数估算月生态流量,并与其他方法进行比较。研究结果表明,基于最优分布函数的生态流量计算方法合理,计算得到的清水河普者黑下游河段年总生态需水量约为1.076亿m^(3),为清水河流域的生态保护提供了科学依据。This study focuses on the ecological flow of the downstream section of the Qingshui river in Puzhehei,Qiubei County,Wenshan Prefecture.Using a combination of four methods,including the sliding T-test,1997 was identified as the year of hydrological variability.The runoff data after hydrological changes were successfully restored using a standard BP neural network optimized by the Adam algorithm.Based on the restored runoff data,five probability distribution functions were tested for goodness-of-fit to identify the optimal function for estimating monthly ecological flow,which was compared with other methods.The results indicate that the ecological flow calculation method based on the optimal distribution function is reasonable.The total annual ecological water demand for the downstream section of the Qingshui river in Puzhehei is approximately 107.6 million m3,providing scientific support for ecological conservation in the Qingshui river basin.

关 键 词：水文变异 Adam优化 BP神经网络 径流还原 生态流量 

分 类 号：TV21[水利工程—水文学及水资源]