Flood risk assessment: role of mitigation capacity in spatial flood risk mapping

Abstract

Globally, the frequency, intensity, and damage rate of floods have increased extensively in the last few decades. The present study proposes a spatial-based multi-criteria approach integrating mitigation capacity to map the degree of flood risk. Flood risk is calculated considering 14 relevant factors under three risk components. Thematic layers were ranked through fuzzy membership functions, and risk components were prepared using fuzzy overlay operation. To make a comparison, first, we calculated risk with mitigation capacity and later without it. Results exhibit, without mitigation capacity around 67% of the study area is exposed to high flood risk, while after integrating mitigation capacity flood risks decreased to 62%. Moreover, validation evaluation suggests risk map integrating mitigation capacity is more accurate (82%) than the risk map without it (79%). Therefore, the developed integrated risk mapping approach is more efficient to assess flood risk, and can be implemented by policymakers in similar environments.

Keywords:

• Flood risk
• mitigation capacity
• GIS
• remote sensing
• fuzzy logic

Acknowledgments

We thank the relevant organizations (Survey of Bangladesh, Flood Forecasting & Warning Centre, Bangladesh Agriculture Research Council, and the Ministry of Disaster Management and Relief) for providing the necessary data. The authors acknowledge Rasel Mia and Anik Shuvra Daw for their field assistance.

Disclosure statement

The authors declare no conflict of interest.

Data availability

Data sharing is not applicable to this article as no new data were created or analyzed in this study.