PROBABILISTIC MULTI-HAZARD RISK ASSESSMENT

4D-EARTH

Potential supervisors

prof. dr. Cees van Westen, Nanette Kingma MSc.

Spatial Engineering

This topic is adaptable to Spatial Engineering and it covers the following core knowledge areas:
  • Spatial Information Science (SIS)
  • Technical Engineering (TE)

Suggested Electives

Modelling Multi-Hazards and Risk (2nd year)

Additional Remarks

An internship with Asian Institute of Technology- GeoInformatics Center could be helpful.

Description

ITC has been involved in national-scale multi-hazard risk assessment in a number of countries (e.g. in the Caribbean, Georgia, Tajikistan and Pakistan). The focus of these projects were generally on the development of hazard maps and elements-at-risk maps from scratch, based on available local and global datasets. In a project with the UNDP ITC has developed a web-based multi-hazard risk platform (http://tajirisk.ait.ac.th/ ) in which the risk for seven types of hazards (earthquakes, floods, mudflows, drought, windstorms, landslides and snow avalanches) was evaluated for agriculture, settlements, roads and people. Currently ITC is involved in a similar study in Pakistan. In both studies we used deterministic approaches to estimate losses for specific return periods of hazard events, and used the so-called Dutch method for analysing the average annual loss. This Msc study will go one step further and aims to analyze the risk probabilistically, taking into account many hazard scenarios and incorporating uncertainties.

Objectives and Methodology

Development of a national spatial geo-referenced GIS dynamic database of public and private assets and infrastructure (agriculture, livestock, infrastructure, buildings) and associated physical vulnerability to different types of natural hazard of varying intensity and reconstruction costs. Probabilistic disaster risk modeling and assessment for the quantification of the risk posed by geophysical hazards (earthquake), and hydro-meteorological hazards (floods, droughts and tropical cyclones).

Further reading

https://www.ur2020.org/agenda/session/440128