Bin Yi , Huiyuan Liu , Lu Chen , Zhiyuan Leng , Binlin Yang , Tao Xie , Siming Li , Weilong Jiang
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引用次数: 0
Abstract
Study region
Xun River in the Han River basin of China.
Study focus
This study aims to examine the potential of soil moisture products in the temporal calibration of lumped hydrological models, as well as soil moisture data for improving hydrological simulations by considering heterogeneity. The spatial calibration of semi- or fully distributed models has seldom been carried out for conceptual lumped models since it is more common for gridded products to be used.
New hydrological insights
The stepwise calibration scheme considering spatial heterogeneity had the highest average soil moisture correlation coefficient (r = 0.54), followed by the simultaneous calibration scheme considering spatial heterogeneity (r = 0.49), and lastly the simultaneous calibration scheme without considering spatial heterogeneity (r = 0.38). Additionally, the stepwise calibration scheme exhibited lower streamflow accuracy compared with that of the simultaneous calibration scheme. This apparent inconsistency arises because the stepwise approach, while achieving the highest average soil moisture correlation coefficient through spatial heterogeneity consideration, demonstrates compromised performance in streamflow simulation due to the neglected scale-dependent factors. These results reveal that the spatial heterogeneity of soil moisture is of great significance to the calibration results, and it is useful to consider it in the lumped hydrological model by using local soil moisture instead of average soil moisture.
期刊介绍:
Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.