Author(s)

Da Mao^1,2*, Yan Xie¹, ZhiYu Yuan¹

Affiliation(s)

¹School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China.

²Xinxiang Urban-Rural and Landscape Digital Technology Engineering Research Center, Xinxiang 453003, Henan, China.

Corresponding Author

Da Mao

ABSTRACT

Under extreme rainfall scenarios, urban stormwater pipe networks are prone to saturation and failure, rendering flood risk assessment under such conditions of critical importance. This study established a flood risk assessment framework using GIS technology and open web data to evaluate 270 catchment subunits in Zhengzhou's main urban area. Results reveal an overall stepped spatial pattern of flood risks, characterized by lower risks in the southwest and higher risks in the northeast, with contiguous high-risk clusters identified in the city center. Spatial autocorrelation analysis confirms strong spatial dependence of flood risks: High-High clusters concentrate in the urban core and northeastern districts, while Low-Low clusters are distributed across the higher-elevation southwestern region. The study further conducts bivariate correlation analysis between zonal flood risks and influencing factors, culminating in the proposal of targeted mitigation strategies.

KEYWORDS

Waterlogging; Flood; Risk; Open data; Evaluate

CITE THIS PAPER

Da Mao, Yan Xie, ZhiYu Yuan. Can open web data assess urban flood risk? evidence from Zhengzhou. Frontiers in Environmental Research. 2025, 3(2): 46-54. DOI: https://doi.org/10.61784/fer3029.

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