Parameter transferability across spatial resolutions in urban hydrological modelling:a case study in Beijing,China

作     者：Xiaoshu HOU Lei CHEN Xiang LIU Miao LI Zhenyao SHEN 

作者机构：State Key Laboratory of Water Environment SimulationSchool of EnvironmentBeijing Normal UniversityBeijing 100875China School of EnvironmentTsinghua UniversityBeijing 100084China 

出 版 物：《Frontiers of Earth Science》 (地球科学前沿（英文版）)

年 卷 期：2019年第13卷第1期

页      面：18-32页

核心收录：

学科分类：07[理学] 

基　　金：the State Key Program of the National Natural Science Foundation of China (Grant No.41530635) the Fund for Innovative Research Group of the National Natural Science Foundation of China (Grant No.51421065) Open Research Fund Program of Key Laboratory of Urban Storm Water System and Water Environment, Ministry of Education 

主　　题：SWMM high resolution low resolution rainfall characteristics parameter transferability 

摘      要：This study examined the influence of spatial resolution on model parameterization,output,and the parameter transferability between different resolutions using the Storm Water Management ***-resolution models,in which most subcatchrnents were homogeneous,and high-resolution-based low-resolution models (in 3 scenarios)were constructed for a highly urbanized catchment in *** results indicated that the parameterization and simulation results were affected by both spatial resolution and rainfall *** simulated peak inflow and total runoff volume were sensitive to the spatial resolution,but did not show a consistent ***-resolution models performed very well for both calibration and validation events in terms of three indexes:1)the Nash-Sutcliffe efficiency, 2)the peak flow error,and 3)the volume error;indication of the advantage of using these *** parameters obtained from high-resolution models could be directly used in the low-resolution models and performed well in the simulation of heavy rain and torrential rain and in the study area where sub-area routing is ***,sub-area routing should be considered and estimated *** successful scale conversion from high spatial resolution to low spatial resolution is of great significance for the hydrological simulation of ungauged large areas.