Deciding Flood Premium Rates based on Flood Risk Zones using Remote Sensing and GIS Techniques: A Case Study of Cuddalore District, Tamil Nadu, India

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Autores principales: Adlin Chericha D J, Sakthivel R, Linda Theres B
Formato: Recurso digital
Publicado: Zenodo 2022
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author Adlin Chericha D J
Sakthivel R
Linda Theres B
author_facet Adlin Chericha D J
Sakthivel R
Linda Theres B
contents Flood hazards have increased in frequency due to climate changes. A flood can lead to catastrophic consequences. Flood insurance helps us to cope with the damages of a flood. The risk of flood varies for each property due to heterogeneity in the earth's topography. The insurance policyholders are currently paying a uniform premium for flood insurance unaware of the risk associated with their property. GIS can be used to add the risk factor to the premium. The flood insurance premium can be discounted for properties in low-risk zones. The insureds in the high-risk zone have higher chances of claiming flood insurance, hence can be assigned a higher premium rate. GIS when integrated with various layers can offer significant benefits for strategic planning, marketing and sales, and claims handling. GIS techniques can be used for visualization as well as analysis of the risk. A flood insurance model has been generated to calculate the discounted premium for flood insurance based on the risk.
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18447289
institution Zenodo
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publishDate 2022
publisher Zenodo
record_format zenodo
spellingShingle Deciding Flood Premium Rates based on Flood Risk Zones using Remote Sensing and GIS Techniques: A Case Study of Cuddalore District, Tamil Nadu, India
Adlin Chericha D J
Sakthivel R
Linda Theres B
GIS; flood insurance
flood risk zonation
GIS-based flood insurance discounted premium
Flood hazards have increased in frequency due to climate changes. A flood can lead to catastrophic consequences. Flood insurance helps us to cope with the damages of a flood. The risk of flood varies for each property due to heterogeneity in the earth's topography. The insurance policyholders are currently paying a uniform premium for flood insurance unaware of the risk associated with their property. GIS can be used to add the risk factor to the premium. The flood insurance premium can be discounted for properties in low-risk zones. The insureds in the high-risk zone have higher chances of claiming flood insurance, hence can be assigned a higher premium rate. GIS when integrated with various layers can offer significant benefits for strategic planning, marketing and sales, and claims handling. GIS techniques can be used for visualization as well as analysis of the risk. A flood insurance model has been generated to calculate the discounted premium for flood insurance based on the risk.
title Deciding Flood Premium Rates based on Flood Risk Zones using Remote Sensing and GIS Techniques: A Case Study of Cuddalore District, Tamil Nadu, India
topic GIS; flood insurance
flood risk zonation
GIS-based flood insurance discounted premium
url https://doi.org/10.5281/zenodo.18447289