Urbanization enhances channel and surface runoff: A quantitative analysis using both physical and empirical models over the Yangtze River basin

被引:11
|
作者
Huang, Shuzhe [1 ]
Gan, Yuan [1 ]
Chen, Nengcheng [1 ,2 ,3 ]
Wang, Chao [1 ]
Zhang, Xiang [2 ]
Li, Chuxuan [4 ]
Horton, Daniel E. [4 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
[2] China Univ Geosci Wuhan, Natl Engn Res Ctr Geog Informat Syst, Sch Geog & Informat Engn, Wuhan 430074, Peoples R China
[3] Hubei Luojia Lab, Wuhan 430079, Peoples R China
[4] Northwestern Univ, Dept Earth & Planetary Sci, Evanston, IL 60208 USA
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
Urbanization effect; Channel runoff; Surface runoff; Local climate zone; Hydrological model; GREEN INFRASTRUCTURE; URBAN AGGLOMERATION; STORM RUNOFF; WRF-HYDRO; LAND-USE; IMPACT; DYNAMICS; PRECIPITATION; RAINFALL; SYSTEM;
D O I
10.1016/j.jhydrol.2024.131194
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Urbanization has become an irreversible trend and is even more rapid in flood-prone area. However, the responses of both channel runoff and surface runoff to the urbanization and the underlying mechanisms still deserve more in-depth exploration within urban extents with limited data availability. Accordingly, we conducted a comprehensive quantitative analysis of the urbanization effects on channel and surface runoff from both statistical and model-based perspectives over three major urban agglomerations (i.e., Chengyu (CY), middle region of Yangtze River (MRYR), Yangtze River Delta (YRD)) in the Yangtze River Basin. The long-term highresolution channel and surface runoff under different urbanization scenarios were simulated using both WRFHydro and SCS-CN models by integrating multiple remotely sensed, reanalysis, and in-situ datasets. Results demonstrated that the channel runoff increased by 4.4%, 5%, and 12.08% in CY, MRYR, and YRD urban agglomerations, respectively. Meanwhile, the urbanization also contributed to 30%, 21.4%, and 17.7% of the surface runoff changes in three urban agglomerations. Based on the high-resolution local climate zone (LCZ), our results highlighted that the high-rise and middle-rise buildings and compact-arranged regions were more prone to accumulating surface runoff and trigger flooding events due to the weaker infiltration capacity of land surface with the densely distribution of impervious surface. Further machine learning based investigation and case analysis also explored the potential influencing factors and mechanisms of the impact of urbanization on channel and surface runoff. Results in the current research show further evidence that policy makers of urban planning and management need to consider and ensure societal preparedness for extreme runoff and flooding events.
引用
收藏
页数:17
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