A Review on Flood Risk Conceptual Frameworks and Development of Hierarchical Structures for Assessment Criteria

TL;DR

This paper introduces the IRL Framework for flood risk assessment, organizing criteria into hierarchical structures and evaluating existing methods to improve flood risk management amid climate change and urbanization.

Contribution

It develops the IRL Framework that systematically organizes flood risk criteria and evaluates existing assessment methods for better decision-making.

Findings

Organized 91 criteria into hazard, susceptibility, and resilience structures.

Provided a flexible framework adaptable to various data and research needs.

Reviewed and assessed existing flood risk assessment methods.

Abstract

Climate change and rapid urbanization have intensified the frequency and severity of flooding, resulting in substantial damage to communities and infrastructure. Existing research on flood risk addresses a wide range of dimensions, ranging from physical to managerial aspects, which adds complexity to the assessment process. This paper introduces the Integrated Risk Linkages (IRL) Framework to provide a systematic approach to flood risk assessment. The IRL Framework defines risk as the intersection of hazard and vulnerability, where vulnerability is shaped by exposure and susceptibility. Resilience, including coping and adaptive capacities, serves as a counterbalance to vulnerability, offering pathways to mitigate flood impacts. Guided by the IRL framework, this study conducts a comprehensive review of the literature to identify and organize a detailed set of 91 criteria and sub-criteria into three hierarchical structures: hazard, susceptibility, and resilience. Furthermore, the paper evaluates existing flood risk assessment methods, emphasizing their characteristics and practical applicability. The IRL framework presented in this study offers essential insights for navigating the complexities of flood risk management, serving as a valuable reference for researchers, policymakers, and practitioners. Its flexibility empowers users to adapt the framework by utilizing specific components or its entire hierarchical structure, depending on data availability and research objectives, thereby enhancing its applicability across diverse contexts.