Multi-Hazard risk assessment Training

INTRODUCTION

This course deals with the procedures to collect, analyze and evaluate spatial information for risk assessment from natural and human-induced hazards (such as geological hazard, hydro-meteorological hazards, environmental hazards and technological hazards). The course will guide you through the entire process of risk assessment, on the basis of a case study of a city exposed to multiple hazards, in a developing country (Risk City).  Also a number of case studies are used from Europe (Italy, France), China, and Georgia. 

TRAINING OBJECTIVES

• understand the concepts of hazard assessment, elements at risk mapping, vulnerability assessment, and risk assessment;
• formulate the spatial data requirements for risk assessment; 
• generate an elements at risk data base using GIS;
• formulate the requirements of hazard data and methods;
• apply various methods for vulnerability assessment;
• generate risk maps using qualitative and quantitative methods;
• have insight in how a risk assessment could be carried out in your own situation; 

DURATION

8 Days

TRAINING CONTENT

The course is composed of a number of Modules. Below is a summary of the Modules and detailed content.

Module 1: Introduction to risk assessment

• Theory:Introduction to disaster risk management and risk assessment. 
• Exercise:  Generation of a hazard profile using disaster databases; Introduction to ILWIS, and introduction to the RiskCity dataset. Learn the various hazard problems by evaluating high resolution images 

Module 2: Obtaining spatial data for risk assessment

• Theory:Presentation of data requirements for the various types of hazards. Sources of spatial data.
• Exercises: Defining spatial data requirements for risk assessment; Internet search for information on risk assessment; acquiring free and low cost data; generating three dimensional image data using Google Earth; stereo image interpretation

Module 3: Hazard Assessment

• Theory: Hazard types; Main concepts of hazard assessment; Frequency magnitude – relationships
• Exercises: Frequency assessment; Selection of hazard assessment example (flooding, landslides, earthquakes, technological hazards, volcanic hazards etc)

 Module 4: Elements at risk assessment

• Theory: Types of elements at risk; classification of buildings, infrastructure, lifelines, critical facilities; population information; collection of elements at risk information.
• Exercise: Generating an elements at risk database from scratch; Generating an elements at risk database using available data (building footprint map, census data and LiDAR) 

Module 5: Vulnerability assessment

• Theory:Types of vulnerability; social vulnerability; physical vulnerability; methods for vulnerability assessment; participatory GIS; Spatial Multi Criteria Evaluation
• Exercises: Defining vulnerability curves; Spatial Multi-criteria evaluation for vulnerability assessment

Module 6: Risk assessment

• Theory: Loss estimation models; HAZUS; qualitative risk assessment; QRA; basics of flood risk, seismic risk, landslide and technological risk assessment;
• Exercises: Creating risk curves; Selection of risk assessment method: flooding, earthquakes, landslides, technological.

Module 7: Risk management

• Theory:Risk evaluation; risk governance; risk communication; cost benefit analysis; Using risk information for emergency planning; spatial planning, and Environmental Impact Assessment
• Exercises: Multi-hazard risk assessment for buildings; assessing economic losses; Cost benefit analysis

Module 8: Final project and examination

• Discussion: How to do such a study in your area?
• Final project: Selection of project topic related to risk assessment and its use in risk management

Others Details

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