A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people

Balbi, Stefano; Villa, Ferdinando; Mojtahed, Vahid; Hegetschweiler, Karin Tessa; Giupponi, Carlo

doi:10.5194/nhess-16-1323-2016

Articles | Volume 16, issue 6

https://doi.org/10.5194/nhess-16-1323-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Natural hazard event analyses for risk reduction and...

https://doi.org/10.5194/nhess-16-1323-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 6

Research article

|

08 Jun 2016

Research article |

| 08 Jun 2016

A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people

Stefano Balbi, Ferdinando Villa, Vahid Mojtahed, Karin Tessa Hegetschweiler, and Carlo Giupponi

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Views and downloads (calculated since 29 Oct 2015)

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Cumulative views and downloads (calculated since 29 Oct 2015)

Month	HTML	PDF	XML	Total
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Short summary

This study develops a novel methodology to assess flood risk to people by integrating people’s vulnerability and ability to cushion hazards through coping and adapting. The model is used to estimate the effect of improving an existing early warning system. The proposed approach extends traditional risk assessments beyond material damages, complements quantitative and semi-quantitative data with subjective and local knowledge, and improves the use of commonly available information.