Multi-Hazard risk assessment Training.

Event details

Location: Nairobi

Country: Kenya

Beginning: 12 Dec 2016 | Ending: 21 Dec 2016 | 10 Days

Registration closes: 5 Dec 2016

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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.


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;


8 Days


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


The Training Event fee is USD $1050, this caters for facilitation, refreshments and lunch for the entire training period. Accommodation can be arranged on request at an extra cost.

To registers for this event, click on this link:

Contact: Versed Professional Services +254 7739167709

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