Abstract
In recent years, ultra-high-intensity rainfall at home and abroad has caused frequent urban waterlogging disasters, posing a severe threat to people’s lives, property and city’s safety. Based on the satellite image data of Shanghai Waigaoqiao Free Trade Zone in different periods and the Storm Water Management Model (SWMM), this paper establishes a model of heavy rainfall under the underlying surface of a complex city, and analyses topographic features, different land use types, rainfall infiltration intensity and the characteristics of the drainage pipe network. The rainwater accumulation under different rainstorms and urbanization levels is simulated and analysed. The research results show that urban rainstorm accumulation is closely related to land use changes. With the increase of surface impermeability and rainfall intensity, the risk of waterlogging in the study area tends to increase: From 1994 to 2019, the construction area has increased from 2.5096km2 to 5.8662km2 in the study area. Compared with 1994, under the same rainfall conditions, the simulated flooding node and runoff coefficient in 2019 both increased significantly.
Highlights
With the acceleration of global warming and urbanization, extreme weather has occurred frequently
This paper comprehensively considers the surface coverage, surface runoff process and drainage system confluence process, constructs a waterlogging model in Waigaoqiao area based on Storm Water Management Model (SWMM) software, studies and discusses the impact of land use changes on urban waterlogging disasters
The SWMM model of drainage pipe network is established according to the change of land use type
Summary
With the acceleration of global warming and urbanization, extreme weather has occurred frequently. Urban flooding and other disasters have caused severely restrict to the sustainable development of society, economic, the safe operation of cities, and have a huge impact on people’s production and life. Zheng et al [4] combined remote sensing data with SCS hydrological model to analyse the impact of land use changes in Shenzhen on surface runoff. Wang et al [5] used Mike Urban model to simulate the surface runoff process in different rainfall return periods. Many scholars [7,8,9,10] have built SWMM models to simulate waterlogging with good results. The change of land use type is one of the many factors that affect urban waterlogging, and it is the most important change feature in the process of urbanization [11,12,13]. Most waterlogging studies mainly consider surface runoff and underground drainage pipe network confluence data, 2.1 Study Area
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