Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025International Journal of Environment and Climate ChangeOpen Access

GIS and AHP Based Flood Susceptibility Mapping: A Case Study of Chalakudy River Basin, Kerala, India

View Full Paper
Ask AI
Bookmark
Share

Authors

KMK. S. MuraliKSK. Srinivasan

Discussion

Loading...

Member takes

Overview

GIS-AHP approach assesses flood susceptibility in Chalakudy River basin, highlighting key factors involved.

Key Points

  • 7.41% of the Chalakudy River basin is classified as very highly susceptible to flooding, demonstrating significant flood risk.
  • The study uses GIS and AHP to evaluate flood susceptibility, with weights derived from literature yielding a reliable model.
  • Analysis integrates twelve critical factors affecting flood occurrence, including hydrology, morphometry, and land cover dynamics.
  • Findings suggest the necessity for advanced techniques alongside AHP to enhance accuracy in flood risk evaluations, emphasizing method limitations.

Cite This Study

Murali et al. (2025) studied this question.

synapsesocial.com/papers/68c1d5f754b1d3bfb60f9062https://doi.org/10.9734/ijecc/2025/v15i94992
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Flood susceptibility mapping of the Subarnarekha River Basin using multicriteria flood conditioning factors in GIS-AHP integrated framework2026
  2. 2Integrating Remote Sensing and GIS-based AHP for Flood Hazard Assessment in the Damodar River Basin, India2026
  3. 3Integrating the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) for flood susceptibility mapping in Sunamganj district2026
  4. 4Flood hazard mapping using <scp>GIS</scp>‐based <scp>AHP</scp> approach for Krishna River basin2024 · 12 citations
  5. 5Flood susceptibility mapping in the Alappuzha Coastal Lowland, Kerala, India using GIS and multi-criteria decision analysis2026