Resilience and Vulnerability Analysis for Restoration After Tsunamis and Floods: The Case of Dwellings and Industrial Plants - Post-Tsunami Hazard: Reconstruction and Restoration - page 231

16.2 Hazards and Mechanical Effects: Tsunamis and Floods

16.2.1 Resilience Analysis as an Integrated Framework

16.2.1.1 General Framework and Description

The resilience analysis may provide a relevant and objective integrated framework
when dealing with disasters and post-disaster restoration (Barker et al. 2013 ;
Barroca and Serre 2013 ; Cimellaro et al. 2010 ; Dinh et al. 2012 ; Manyena 2014 ;
Pant et al. 2014 ; Schelfaut et al. 2011 ; Shirali et al. 2012 ; Wang et al. 2012 ).
However, accurate modeling of hazards, vulnerability, risk, resilience and disaster
management is a complex process (Fig. 16.1 ):

- Hazard modeling for natural or technological events

- Vulnerability and fragility modeling in order to evaluate the capacity of the

system to withstand the effects of the hazard

- Risk analysis and failure probabilities

- Resilience analysis and the ability of the system to recover expected utility func-

tion values within the defined recovery time.

16.2.1.2 Resilience Analysis and Post-disaster Recovery

Since vulnerability and subsequent damage are of crucial importance, a sensitivity
analysis has been developed in order to show their influence on resilience. This type
of analysis can be very helpful in reconstruction processes.
Furthermore, for illustrative purposes, various methodologies are presented in
order to evaluate the vulnerability of constructions and industrial facilities:

- Masonry constructions: Models already issued by the authors are detailed,

(Mebarki et al. 2008 , 2012 ). After a rapid inspection, they evaluate the mechanical
vulnerability of non-designed (informal) masonry constructions under the effects
of flooding hazards. This evaluation identifies the capacity of the construction on
the basis of every governing parameter considered to be influent, for example
quality of materials, geometry, number of stories, the slope of the terrain,
structural typology and regularity. Corresponding fragility curves estimate the
level of structural failure risks. This failure risk vs. a given water height and flow
velocity can then be mapped. Real cases are used for illustrative purposes.

- Dwelling houses: A new methodology that predicts the volume of waste gener-

ated by floods is developed and discussed. Structural, as well as non-structural,
vulnerability may give rise to different kinds of waste. Models and fragility
curves are adopted in order to predict the waste quantity depending on water
height and flow velocity. Depending on this quantity, the territory may take several
years to recover.