FLOOD RISK ASSESSMENT USING A LITERATURE-BASED APPROACH

АУТОР(И) / AUTHOR(S): Wei-Wei Zhao, Shuilong Shen, Annan Zhou, Yanning Wang

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DOI:  10.46793/ACUUS2025.7.3.149

САЖЕТАК / ABSTRACT:

: Urban flood risk is intensifying under the dual pressures of rapid urbanization and climate change, highlighting the need for robust, transparent, and scalable assessment frameworks. This study presents a fully data-driven framework for urban flood risk assessment that integrates region-specific risk factors and minimizes subjective bias. A bibliometric-informed weighting method is employed to objectively assign importance to each factor based on its prominence in peer-reviewed literature. The framework was applied to a case study in Guilin, China, where twenty localized indicators were synthesized through spatial analysis to produce a composite flood risk map. Model validation against the major flood event of June 2024 demonstrated strong spatial agreement between predicted high-risk areas and actual flood-affected zones. These results confirm the framework’s predictive validity and practical applicability. By enhancing transparency, reproducibility, and adaptability, this approach offers valuable support for urban flood resilience planning and disaster mitigation.

КЉУЧНЕ РЕЧИ / KEYWORDS:

Urban flood risk, Data-driven framework, Region-specific indicators, Literature-based weighting, Flood risk mapping

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

The research work was funded by Guangdong Provincial Basic and Applied Basic Research Fund Committee (2022A1515240073).

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