Risk Assessment and Categorization of Flood Risk Zones Using Geospatial Data and Multi-Criteria Decision Model in a Low-Lying Deltaic Region, Kuttanad, India-Reference-Cited by-同舟云学术

Risk Assessment and Categorization of Flood Risk Zones Using Geospatial Data and Multi-Criteria Decision Model in a Low-Lying Deltaic Region, Kuttanad, India

Published:2024-04-03 Issue:5 Volume:52 Page:985-1002
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Lukose Neethu^ORCID,Sunilkumar N.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12524-024-01852-y.pdf

Reference45 articles.

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2. Addis, A. (2023). GIS–based flood susceptibility mapping using frequency ratio and information value models in upper Abay River basin Ethiopia. Natural Hazards Research, 3(2), 247–256. https://doi.org/10.1016/j.nhres.2023.02.003

3. Avtar, R., Singh, C. K., Shashtri, S., & Mukherjee, S. (2011). Identification of erosional and inundation hazard zones in Ken-Betwa river linking area, India, using remote sensing and GIS. Environment Monitoring and Assessment, 182(7), 341–360. https://doi.org/10.1007/s10661-011-1880-6

4. Bin, L., Xu, K., Pan, H., Zhuang, Y., & Shen, R. (2023). Urban flood risk assessment characterizing the relationship among hazard, exposure, and vulnerability. Environmental Science and Pollution Research, 30(36), 1–15. https://doi.org/10.1007/s11356-023-28578-7

5. Chen, Y. (2022). Flood hazard zone mapping incorporating geographic information system (GIS) and multi-criteria analysis (MCA) techniques. Journal of Hydrology, 612(1), 1–13. https://doi.org/10.1016/j.jhydrol.2022.128268

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