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Evaluating the effect of building patterns on urban flooding based on a boosted regression tree: a case study of Beijing, China
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  • Zhen Li,
  • Zhuowei Wang,
  • Leixiang Wu,
  • Wei Huang,
  • Wenqi Peng
Zhen Li
China Institute of Water Resources and Hydropower Research

Corresponding Author:lizhen9106@126.com

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Zhuowei Wang
China Institute of Water Resources and Hydropower Research
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Leixiang Wu
China Institute of Water Resources and Hydropower Research
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Wei Huang
China Institute of Water Resources and Hydropower Research
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Wenqi Peng
China Institute of Water Resources and Hydropower Research
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Abstract

Rapid urbanization and global climate change are likely to exacerbate urban flooding intensity, frequency, and uncertainty. Thus, it is fundamental and crucial to investigate the dominant influencing factors for the mitigation of urban flooding. However, the influence of building patterns on urban flooding remains limited. Taking Beijing, a typical megacity, as a case study area, we quantified the importance of building patterns and their interaction effect at the subwatershed scale using the boosted regression tree (BRT) and geographical detector model (GeoD). The results indicated that (1) the landscape shape index, slope, green space ratio and waterbody ratio were the most important influencing factors determining urban flooding, with a total relative contribution of 67.23%, (2) building metrics had a certain impact on urban flooding, and the sum of the relative contribution can reach 21.03%, (3) with urban flooding density, the landscape shape index, slope, and green space ratio exhibited a combination of negative and positive correlation, and (4) an enhancement effect existed between building metrics, especially the building congestion degree and building density. These findings provide quantitative insights that rational urban morphology planning can improve stormwater management and promote urban sustainability in megacities.
16 Jan 2023Submitted to Hydrological Processes
20 Jan 2023Assigned to Editor
20 Jan 2023Submission Checks Completed
23 Jan 2023Reviewer(s) Assigned
26 Jan 2023Reviewer(s) Assigned