摘要
近年来,遥感技术的进步为获取大面积连续的水文变量带来了很大的便利。为探究在流域缺资料的情况下引入其他遥感水文变量进行水文模型参数率定的可行性,以新安江模型为研究模型,使用SCE-UA(Shuffled Complex Evolution)算法对水文模型进行参数率定,分析在短序列径流资料的情况下,联合遥感土壤湿度和径流资料对模型参数率定结果的影响。分析结果表明,使用短序列径流数据率定水文模型会有一定的不确定性,在验证期模拟精度较差,而引入土壤湿度进行参数率定的模拟结果虽然在率定期有一定降低,但是在验证期要明显好于前者,并且可以接近使用长序列径流数据率定参数的水平。
In recent years, the progress of remote sensing technology has brought great convenience for obtaining large-scale continuous hydrological variables. In order to explore the feasibility of using other remote sensing hydrological variables to calibrate hydrological model parameters in case of lack of data in the basin, the Xin’anjiang model was taken as the research model using Shuffled Complex Evolution(SCE-UA) algorithm to calibrate hydrological model parameters, and the impact of combined remote sensing soil moisture and runoff data on model parameter calibration results in case of short series discharge data was analyzed. The results show that there are some uncertainties when using short series discharge data to calibrate hydrological model, and the simulation accuracy is poor in the validation period, while the simulation results obtained by introducing soil moisture to carry out parameter calibration are reduced in the rate period, but it is better than the former in the validation period, and it can be close to the level of using long series discharge data to calibrate parameters.
作者
吴平辉
张佳鹏
王加虎
蒋婕妤
WU Pinghui;ZHANG Jiapeng;WANG Jiahu;JIANG Jieyu(Hunan Institute of Hydrological Instrument and Equipment Testing,Changsha 410007;College of Hydrology and Water Recourses,Hohai University,Nanjing 210098,China;Hunan Institute of Water Resources and Hydropower Research,Changsha 410007)
出处
《中国防汛抗旱》
2022年第4期72-76,共5页
China Flood & Drought Management
基金
国家重点研发计划重点专项项目(2019YFC1510700)
湖南省重大水利科技项目(XSKJ2021000-08、XSKJ2019081-03)。
关键词
新安江模型
参数率定
径流模拟
遥感土壤湿度
Xin’anjiang model
parameter calibration
runoff simulation
remote sensing soil moisture
