摘要
水文模型是模拟流域水文过程和揭示流域水资源丰枯状态的重要工具,但获取水文模型参数的优化算法具有主观性,进而使得在评估流域水资源量上存在差异性。本文以嘉陵江流域为例,采用3种不同智能优化算法(PSO、SEC-UA和FPA)率定出新安江(XAJ)水文模型参数,以此探究优化算法不确定性对月尺度水资源评估的影响。结果表明:不同优化算法得到的模型参数取值差异不同;不同优化算法均能得到较满意的模拟精度,且PSO算法最适合嘉陵江流域XAJ模型的率定;优化算法不确定性对不同特征时期的影响差异显著,尤其是干旱季节。研究结果对流域水管部门制定科学的水资源评估方案具有重要意义。
Hydrological model is an important tool to simulate watershed hydrological process and reveal the state of water resources in a watershed.However,the optimization algorithm to obtain hydrological model parameters is subjective,which leads to differences in the assessment of watershed water resources.Taking Jialing River basin as an example,this paper uses three different intelligent optimization algorithms(PSO,SEC-UA and FPA)to determine the parameters of Xin’anjiang(XAJ)hydrological model,so as to explore the impact of uncertainty of optimization algorithm on monthly water resources assessment.The results show that the model parameters obtained by different optimization algorithms have different values.Different optimization algorithms can obtain satisfactory simulation accuracy,and PSO is the best determination for XAJ hydrological model of Jialing River basia,The influence of uncertainty of optimization algorithm on different characteristic periods is significant,especially in dry season.The results of the study are of great significance to the designation of scientific water olepartment assessment schemes for water pipe department in the basin.
作者
李鑫
王颖苗
LI Xin;WANG Yingmiao(Shuifa Planning and Design Co.,Ltd.,Jinan 250100,China;Shanxi Water Resources and Hydropower Science Institute,Taiyuan 030002,China)
出处
《水资源开发与管理》
2020年第8期40-45,共6页
Water Resources Development and Management
关键词
水资源评估
水文模型
不确定性
嘉陵江流域
water resources assessment
hydrological model
uncertainty
aJialing River basin
作者简介
李鑫(1988-),男,工程师,硕士,主要从事水文水资源规划及相关工作。
