فهرست نشریات علمی دسترسی آزاد ایران

BACKGROUND AND OBJECTIVES: Flood management in low-lying coastal and peatland regions is not only a technical challenge but also a governance issue. Although advances in hydrodynamic modelling and geographic information system-based multi-criteria analysis have improved the identification of flood-prone areas, these outputs often remain disconnected from the institutional realities that determine whether interventions can be implemented. In decentralised systems, fragmented mandates, limited fiscal capacity, and uneven technical resources frequently constrain effective action. The study objectives were to propose an integrated decision-support framework to bridge spatial flood risk assessment with governance-sensitive implementation sequencing in climate-exposed coastal systems.METHODS: Aceh Singkil District, Indonesia, a compound riverine–tidal floodplain characterized by extensive peatlands, was selected as the case study. Multi-return-period (2–50 year) hydrodynamic simulations were used to quantify spatial variations in flood depth and duration. These hazard layers were integrated with exposure and vulnerability indicators using spatial multi-criteria evaluation and the analytic hierarchy process, incorporating stakeholder-derived weights. To move beyond static prioritisation, an implementation readiness index was developed to assess technical feasibility and institutional capacity. Interventions were then organised into phased short-, medium-, and long-term pathways.FINDINGS: The results indicate that the highest flood risk is concentrated in coastal and peatland settlements where inundation depth and duration are prolonged. However, a clear spatial mismatch emerges between hazard severity and governance readiness. Several high-risk sub-districts demonstrate limited capacity for immediate large-scale intervention, while some moderate-risk areas exhibit higher readiness due to more stable institutional and infrastructural conditions. By integrating structural measures with nature-based solutions within a phased framework, the proposed sequencing approach better aligns flood intensity with implementation feasibility, reducing the risk of delayed or maladaptive responses.CONCLUSION: This study contributes to environmental management by embedding governance capacity within spatial flood risk assessment. By shifting from static prioritisation toward a sequencing-based approach, the framework links where interventions are needed with when they can be realistically implemented. The readiness-based sequencing model provides a transferable pathway for decentralised and climate-vulnerable regions to translate scientific risk analysis into adaptive, implementable, and context-sensitive policy.