Probabilistic Modeling of Flood Hazard and its Risk Assessment for Eastern Region of India.
Hazard
inundation depth
risk index
vulnerability
Journal
Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924
Titre abrégé: Risk Anal
Pays: United States
ID NLM: 8109978
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
26
04
2016
revised:
26
12
2018
accepted:
18
01
2019
pubmed:
29
5
2019
medline:
29
5
2019
entrez:
29
5
2019
Statut:
ppublish
Résumé
This article models flood occurrence probabilistically and its risk assessment. It incorporates atmospheric parameters to forecast rainfall in an area. This measure of precipitation, together with river and ground parameters, serve as parameters in the model to predict runoff and subsequently inundation depth of an area. The inundation depth acts as a guide for predicting flood proneness and associated hazard. The vulnerability owing to flood has been analyzed as social vulnerability
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1615-1633Informations de copyright
© 2019 Society for Risk Analysis.