Flood Susceptibility Mapping Using Analytic Hierarchy Process and Geographic Information System in Baitarani Basin of Odisha, India

Authors

  • Ranu Rani Sethi Principal Scientist Author
  • Asit Kumar Dandapat Senior Research Fellow Author
  • S Sankalp Author
  • S.K Jena Author
  • D.K. Panda Author
  • P.K Patra Author

DOI:

https://doi.org/10.52151/jae2024614.1865

Keywords:

disaster management, flooding, multi-criteria decision-making technique, pair-wise comparison matrix, land use/land cover

Abstract

Baitarani, the 6th largest river basin in Odisha, eastern India, faces water related challenges in its catchments. As one of the most frequent environmental disasters, floods are consistently cited in hotspots of the eastern region in India. Hence, in this study, flood susceptibility maps were generated for Baitarani River basin by using analytical hierarchy process technique and geographic information system. Eleven thematic maps of topographic ruggedness index, topographic wetness index, stream power index, elevation, lithology, soil, slope, drainage density, distance from drainage network, land use/land cover and normalized difference vegetation index were prepared for flood vulnerability mapping. The themes were assigned suitable weights depending on relative influence of each of the themes on flood risk. The results indicated that 87% of the basin falls under intermediate flood susceptibility zone, while 10% is classified under high flood hazard zone. Areas in the lower elevation catchment, particularly those with flat topography near the coastline, were identified as being highly susceptible to flooding. The impacts of severe flooding in the basin are most pronounced in specific blocks in Jajpur district (Jajpur, Dasarathpur, and Korei blocks), Bhadrak district (Dhamnagar and Bhandaripokhari blocks), and Anandapur block in the Keonjhar district of Odisha. Additionally, changes in land use/land cover during 1995-2020 revealed 8% decline in agricultural land and 13.93% increase in fallow land in the area. The outcomes of this research can help researchers, planners and managers in managing natural resources, find locations that could be vulnerable to flooding, and lessen the damage.

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Published

2024-10-02

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Regular Issue

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How to Cite

Sethi, R. R., Dandapat, A. K. ., Sankalp, S. ., Jena, S., Panda, D., & Patra, P. (2024). Flood Susceptibility Mapping Using Analytic Hierarchy Process and Geographic Information System in Baitarani Basin of Odisha, India. Journal of Agricultural Engineering (India), 61(4). https://doi.org/10.52151/jae2024614.1865