Abstract
Tropical cyclone causes large-scale devastation and destruction in the coastal plains of India, particularly in Odisha, which is the most cyclone-affected state in the country. Tropical cyclones are projected to be more powerful and widespread due to changing climate. Hence, the risk assessment of tropical cyclone is necessary to identify cyclone-risk areas in coastal Odisha which may help in the mitigation of the damages caused by cyclones. Therefore, this study utilizes geospatial techniques to produce a comprehensive risk map posed by tropical cyclones and to estimate the degree of risk for coastal districts of Odisha. For this, we evaluated the district-level cyclone risk for coastal Odisha using multi-criteria decision-making (MCDM) technique by considering 21 parameters for each of the four components of risk, i.e., exposure, hazard, vulnerability, as well as mitigation capacity. For each criterion, thematic raster map layers were created and weighted using a fuzzy analytical hierarchy process (FAHP). We prepared individual risk component maps using weighted overlay techniques and finally integrated all indices to create the risk map. The study shows that 13% area of the study area comes under a very high-risk zone whereas, 25% area comes under a high-risk zone. The central (Cuttack, northern parts of Khordha, and south-western parts of Jajpur district) and the eastern part (most of the parts of Jagatsinghpur, Kendrapara, and northern parts of Puri district) of the study area come under high to very high tropical cyclone impact zone. Almost 67% of the total area is highly vulnerable to tropical cyclones and mainly concentrated near the shoreline. The applied approach and results can assist the local authorities in identifying vulnerable and hazardous locations and developing workable solutions for the mitigation of revised cyclone threats in the coastal districts of Odisha.
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Acknowledgements
The lead author is thankful to the University Grant Commission (UGC), India, for providing a doctoral fellowship during this research work. The authors are grateful to the United States Geological Survey (USGS), the International Best Track Archive for Climate Stewardship, and the Census of India for providing the necessary datasets.
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Tanmoy Das: methodology, data curation, software, visualization, writing—original draft. Shahfahad: visualization, data curation, formal analysis, writing—review and editing. Atiqur Rahman: conceptualization, project administration, writing—review and editing and supervision.
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Das, T., Shahfahad & Rahman, A. Assessing tropical cyclone risk for improving mitigation strategies in Coastal Odisha, India. Environ Sci Pollut Res (2024). https://doi.org/10.1007/s11356-024-33017-2
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DOI: https://doi.org/10.1007/s11356-024-33017-2