Development of Science and Significance-based Indicators for Social-ecological System Flood Resilience

In flood-prone landscapes, assessing the resilience of the local social-ecological system is imperative, yet established indicators are lacking. This research aims to fill this gap by employing a comprehensive and scientific approach within the social-ecological systems (SES) framework from Berkes (2011) and Ostrom (2009). The methodology encompasses a systematic literature review, Fuzzy Delphi Method (FDM), and the Analytical Hierarchy Process (AHP) to develop science and significance-based indicators for flood resilience assessment. Based on the results, key indicators include natural wetland management, drainage systems, employment rates, disaster management budgets, and community linkages. Supported by data-driven insights, these indicators collectively contribute to the establishment of a robust and sustainable flood risk management framework. Recommendations extend to the incorporation of additional indicators such as capacity building activities, ecological conservation, infrastructure enhancements, measures for economic stability, increased budget allocations, and enhanced stakeholder engagement. Overall, this holistic approach is designed to assist policymakers and practitioners in formulating sustainable flood management practices, ultimately fostering greater resilience in flood-prone areas.