Assessment of the impact of climate change on urban flooding: A case study of Beijing, China

Author:

Ding XingChen12,Liao WeiHong3,Lei XiaoHui3,Wang Hao4,Yang JiaLi5,Wang Hao3

Affiliation:

1. a College of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China

2. b Science and Technology Innovation Center of Smart Water and Resource Environment, Northeastern University, Shenyang 110819, China

3. c State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

4. d Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China

5. e School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

Abstract

Abstract Global climate change and rapid urbanization increase the risk of urban flooding, especially in China. Climate change and the ‘heat island effect’ have increased the frequency of extreme precipitation. Affected by the backwardness of drainage facilities and the lack of drainage capacity, many cities have experienced large-scale waterlogging in low-lying areas, and ocean-like phenomena appear in cities. The public infrastructure was damaged and caused a lot of economic losses. Therefore, it is important to investigate the adaptability of drainage systems to the future in a changing environment. The Sixth International Coupled Model Intercomparison Project (CMIP6) and Storm Water Management Model (SWMM) were used to quantify the impact of climate change on Beijing's waterlogging under different rainstorm scenarios for the future 40 years. The quantile delta mapping method of daily precipitation based on frequency (DFQDM) is proposed to correct the daily precipitation of the climate model and which is proved to be feasible. After the annual precipitation and extreme precipitation index are corrected, percent bias (PBIAS) is significantly reduced. The PBIAS of the extreme precipitation index of the corrected model is all controlled within 6%. The corrected accuracy of CanESM5 is the best. The total flood volume (TFV) of the node increases with the aggravation of climate change. The TFV of SSP5-8.5 and SSP2-4.5 increased by 45.43 and 20.8% in the 100-year return period, respectively, and more than 94% of the conduits reached the maximum drainage capacity in different return periods. After the low impact development (LID) was installed, the improvement effect on the outflow with a smaller return period was significant, decreasing by about 50%. The LID can effectively reduce the overflow of the drainage system. The results of this study can provide suggestions for the reconstruction of the drainage system and the management of flood risk for Beijing in the future.

Funder

National Natural Science Foundation of China

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change

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