Work

Assessment of flood risk under Polder-Type flood control measure using improved projection pursuit model

Year: 2024

Type: article

Abstract: Floods are the most common natural disaster worldwide and significantly impact human society and ecosystems. Therefore, research on flood risk assessment and zoning is crucial. Constructing polders in river deltas changes flood formation mechanisms and processes, impacting flood risk. This study proposes an integrated flood risk assessment model combining index-based evaluation, the best worst method, the projection pursuit model optimized by CPSGA, game theory, and the hydrological-hydrodynamic model, which was implemented in the Qinhuai River Basin to assess and zoning the flood risk. The results show that the integrated model allows an excellent flood risk assessment under different scenarios. Spatially, the high and highest-risk areas are mainly distributed in the urban areas, concentrated in densely populated and economically developed areas. Compared with the natural stream (without the PFCM), the high and highest risk areas decreased 0.06, 0.04, and 0.58 km 2 for 50 %, 30 %, and 3 % frequency flood scales, respectively. The proposed integrated model characterizes the spatial distribution of flood risk, understands the impact of polders on flood risk, and provides a reference for implementing integrated and efficient flood risk management.

Source: Ecological Indicators

DOI: 10.1016/j.ecolind.2024.113038

Authors: Li Gao, Yuqin Gao, Yunping Liu, Ming Wu

Institution: Hohai University

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Clean water and sanitation

Open Access status: gold

Estimated APC paid: $2,970