Flood Risk Identification of Zhengzhou Metropolitan Area Based on Invest Model

Authors

  • Bingyu Ma

DOI:

https://doi.org/10.54097/e5z5be52

Keywords:

InVEST model; flood regulation services; supply-demand ratio; zhengzhou metropolitan area; flood risk.

Abstract

Rainstorm and urban flood are always one of the most serious natural disasters in China due to the change of ecological environment, terrain conditions and climate change. Rainstorm and flood disasters seriously threaten the security and development of regional economy and society. Therefore, how to identify the high-risk areas of flood disasters is an important issue to be solved in the prevention of flood disasters. Taking Zhengzhou metropolitan area as the research object, based on the Urban Flood Risk Mitigation module of InVEST model, the vulnerability of flood disaster, the supply capacity of flood regulation service and the supply-demand ratio of ecosystem service in the study area are obtained through analysis, and the areas vulnerable to flood disaster in the study area are identified. The results show that : (1) The flood regulation service supply capacity is mainly manifested in the spatial distribution pattern of high in the west and low in the east. The northern Jiaozuo, northern Xinyang, western Zhengzhou and western Xuchang have higher supply service levels. (2) Affected by factors such as population density, economic development level and land use development degree, there are also obvious spatial differences in the spatial distribution of flood regulation service demand. The high demand area of flood regulation service is concentrated in the central urban area. (3) In areas with low population density and high vegetation coverage, the high supply and low demand of flood regulation services lead to a higher service supply-demand ratio. In the central urban area of the city, due to the large proportion of construction land and dense population, the supply and demand of services is relatively low.

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Published

20-01-2024

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Section

Articles

How to Cite

Ma, B. (2024). Flood Risk Identification of Zhengzhou Metropolitan Area Based on Invest Model. Academic Journal of Science and Technology, 9(1), 172-175. https://doi.org/10.54097/e5z5be52