5. CONCLUSIONS
This study identified the dominant influencing factors of urban flooding
by integrating series driving forces (topography, drainage capacity,
land cover composition, landscape configuration, building patterns) by
adopting BRT model. Moreover, we further revealed the interaction
effects among building metrics in Beijing’s central area by using GD
method. The urban flooding points present a aggregation pattern, and was
mainly concentrated in Haidian and Fengtai districts. The landscape
shape index, slope, green space ratio, and waterbody ratio were the most
important factors affecting urban flooding, with total relative
contribution of 67.23. Building metrics has a certain impact on urban
flooding, and sum of relative contribution can reach at 21.03%.
Anymore, enhancement effect exist between building metrics, especially
the building congestion degree and building density. The results also
demonstrated the occlusion effects in BRT model. This study provides
practical suggestions to improve stormwater management via optimizing
urban morphology in 2D and 3D.