Spatial-temporal Evolution Pattern and Influencing Factors of Surface Runoff based on SCS-CN Model
Intense rainfall causing excessive runoff poses a severe threat to lives and property.Understanding the characteristics and driving factors of this runoff is crucial.Using Changsha City as a case study,this paper utilizes the SCS-CN model and geographic detectors to simulate the spatiotemporal distribution of surface runoff from 2000 to 2020.It uncovers the inherent connection between runoff and land use and examines the influencing factors.The results show that from 2000 to 2020,Changsha City's urban development expanded outward from the city center,leading to a corresponding increase in surface runoff.When it comes to influencing factors,precipitation,with an explanatory power of 0.705,had the most significant impact on surface runoff,while GDP had the least impact,with an explanatory power of only 0.022.The interaction between precipitation and fixed assets had the most pronounced effect on runoff's spatial distribution,while the interaction between slope and GDP had the least impact.
国家科技期刊平台
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