Flood Hazard Assessment and Zonal Prioritization for Ernakulam District, Kerala

A 2026 study by Ajeesh Puthusserry Paulose proposes a hybrid multi-criteria decision-making model for flood risk assessment. The research prioritizes flood-prone zones in Kerala's Ernakulam district using LR-bipolar triangular fuzzy numbers and integrates PSI, SAW, and CODAS methods. The findings identify Kochi, Vypen, and Paravoor as the most vulnerable areas.

Use Cases

• Prioritize flood mitigation investments based on a hybrid MCDM ranking of zones.
• Validate regional vulnerability patterns using K-means clustering and PCA analyses.
• Support climate action planning (SDG 13) with targeted risk assessments for local authorities.

Strengths

• The methodology integrates three established MCDM techniques (PSI, SAW, CODAS) for balanced ranking.
• The study applies unsupervised learning (K-means, PCA) to validate its vulnerability findings.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• The dataset is a single 82.4 KB PDF file, suggesting limited raw data scope.
• Column-level documentation and sample data are unavailable, requiring manual inspection.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

Ajeesh Puthusserry Paulose via figshare.

Collection Method

A hybrid MCDM model employing LR-bipolar triangular fuzzy numbers, normalization, aggregation, and defuzzification.

Freshness

Last updated 2026-05-01 05:24:59.

Geography

Ernakulam district, Kerala, India.