%0 Journal Article
%T 基于卫星遥感数据率定分布式水文模型参数<br>Parameter Calibration of a Distributed Hydrological Model Based on Satellite Remote Sensing Data
%A 曾凌
%A 陈金凤
%A 李雨
%A 刘秀林
%J Journal of Water Resources Research
%P 561-571
%@ 2166-5982
%D 2022
%I Hans Publishing
%R 10.12677/JWRR.2022.116061
%X 近年来卫星遥感数据产品得到长足发展，可为水文建模领域提供有力的数据支撑。在渭河流域收集长序列卫星遥感土壤湿度和蒸发数据的基础上，分别采用联合和分步方法率定分布式水文模型DDRM参数，并与常规仅基于流量的参数率定方法的模拟效果进行对比。结果表明：参数率定过程引入卫星遥感数据可显著提高DDRM模型对蒸发和土壤湿度的模拟效果，但相应的径流模拟效果略有下降。此外，分步率定方法相较于常规率定方法能有效降低径流模拟的不确定性。<br />
Recently rapid development of satellite remote sensing data product can provide a solid basis for hydrological modeling. In this study, based on the long-term satellite remote sensing evaporation and soil moisture data, the joint-calibration and stepwise-calibration schemes were used to calibrate the DDRM model in the Weihe basin, and the simulation performance was compared with the common calibration scheme using streamflow data only. The results show that incorporating the satellite remote sensing data into the calibration procedure can significantly improve DDRM’s simulation performance on evaporation and soil moisture, with a slightly decreased performance on streamflow simulation. Moreover, the stepwise-calibration schemes can effectively reduce the simulation uncertainty of streamflow, when compared to the common calibration scheme.
%K 水文模型，卫星遥感，土壤湿度，渭河流域，参数率定<br>Hydrological Model
%K Satellite Remote Sensing
%K Soil Moisture
%K Weihe Basin
%K Parameter Calibration
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=60091