Comprehensive Flood Risk and Inundation Mapping in the Thamirabarani River Basin Through GIS-AHP and Remote Sensing Techniques

Suvish S; Saravanavel J1

1

Publication Date: 2024/12/03

Abstract: Flooding poses significant risks to communities and infrastructure in vulnerable regions, requiring robust assessment methods for effective mitigation. This study aims to assess flood risk in the Thamirabarani River Basin using a GIS-based Analytical Hierarchy Process (AHP) model, combined with remote sensing techniques. The model incorporates factors such as population density, proximity to rivers, slope, land use, and precipitation patterns to evaluate flood vulnerability and hazard. Sentinel-1 imagery from the European Space Agency’s Copernicus Portal was used for flood inundation analysis, detecting changes in land cover due to flooding on December 18, 2023. The findings reveal that 94 villages in Tirunelveli, Tenkasi, and Thoothukudi districts are high-risk zones, with areas near rivers and densely populated regions showing the greatest vulnerability. The combination of AHP modeling and remote sensing offers a detailed assessment of flood risk, aiding policymakers in developing targeted strategies for flood mitigation and preparedness. This research highlights the importance of integrated approaches for managing flood risks in susceptible regions.

Keywords: Flood Risk, GIS, AHP, Remote Sensing, Flood Inundation Analysis.

DOI: https://doi.org/10.38124/ijisrt/IJISRT24NOV1244

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24NOV1244.pdf

REFERENCES

  1. Smith, K. (2013). Flood Risk Management: A Global Perspective. Environmental Science and Policy, 27, 27-34.
  2. Jha, A., L. Bloch, and J. Lamond (2012). Cities and Flooding: A Guide to Integrated Urban Flood Risk Management for the 21st Century. World Bank.
  3. Malczewski, J. (2000). Beyond GIS and AHP: A Multi-Criteria Decision Framework. International Journal of Geographical Information Science, 14(3), 229-243.
  4. Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
  5. Zhang, J., and W. Zhang (2017). Application of GIS-based AHP in Flood Risk Assessment: A Case Study of the Yangtze River Basin. Water, 9(11), 851.
  6. Khan, S. (2019). Flood Vulnerability Mapping Using Remote Sensing and GIS Techniques: A Case Study of the Upper Indus River Basin. Journal of Flood Risk Management, 12(1), e12424.
  7. Mastrorillo, M., A. S. D. Morandi, and B. K. M. Ahmed (2016). Understanding Flood Vulnerability: Towards an Integrated Assessment Framework. Environmental Modelling & Software, 82, 64-72.
  8. Patel, P., and B. Kumar (2021). A Review of Flood Risk Assessment Methodologies: Moving Towards Integrated Approaches. Water, 13(5), 706.
  9. Saaty, T. L. (1970). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.
  10. Saaty, T. L. (1977). A Scaling Method for Prioritizing Criteria and Alternatives in Hierarchical Structures. Journal of Mathematical Psychology, 15(3), 234-281.
  11. Saaty, T. L., & Vargas, L. G. (1991). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Kluwer Academic Publishers.
  12. Saaty, T.L. (2005). Theory and Applications of the Analytic Network Process.
  13. Kundzewicz, Z. W., Pińskwar, I., & Brakenridge, G. R. (2014). Climate Change and Floods: A Review of Scientific Evidence and Implications for Policy. Journal of Hydrology, 519, 1-10.
  14. Jha, A. K., Bloch, R., & Lamond, J. (2012). Cities and Flooding: A Guide to Integrated Urban Flood Risk Management for the 21st Century. The World Bank.
  15. Morris, J. T., Faber, B. A., & Huang, H. (2021). The Impact of Urbanization on Flood Risk: A Study of Land Cover Changes. Water Resources Research, 57(2), e2019WR026313.
  16. Lu, D., Mausel, P., Brondízio, E., & Moran, E. (2020). Change Detection Techniques. International Journal of Remote Sensing, 22(4), 915-935.
  17. Priya, K., Kumar, S., & Jothi, G. (2021). Integrated Flood Risk Management: A Case Study from India. Environmental Science & Policy, 114, 96-105.
  18. Khan, M. A., Yasmin, A., & Raza, A. (2023). Impact of Climate Change on Flooding: A Review of Recent Trends and Future Directions. Journal of Hydrology, 617, 128851.