Review article

Natural hazard risk assessments at the global scale

Review (2020)
Author(s)

Philip J. Ward (Vrije Universiteit Amsterdam)

Veit Blauhut (Albert-Ludwigs-Universität Freiburg)

Nadia Bloemendaal (Vrije Universiteit Amsterdam)

E. James Daniell (Karlsruhe Institut für Technologie)

C. Marleen De Ruiter (Vrije Universiteit Amsterdam)

J. Melanie Duncan (British Geological Survey)

F. Susanna Jenkins (Nanyang Technological University)

Dalia Kirschbaum (NASA Goddard Space Flight Center)

C. Hessel Winsemius (TU Delft - Water Resources, Deltares)

undefined More Authors (External organisation)

Research Group
Water Resources
DOI related publication
https://doi.org/10.5194/nhess-20-1069-2020
More Info
expand_more
Publication Year
2020
Language
English
Research Group
Water Resources
Issue number
4
Volume number
20
Pages (from-to)
1069-1096
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Since 1990, natural hazards have led to over 1.6 million fatalities globally, and economic losses are estimated at an average of around USD 260-310 billion per year. The scientific and policy communities recognise the need to reduce these risks. As a result, the last decade has seen a rapid development of global models for assessing risk from natural hazards at the global scale. In this paper, we review the scientific literature on natural hazard risk assessments at the global scale, and we specifically examine whether and how they have examined future projections of hazard, exposure, and/or vulnerability. In doing so, we examine similarities and differences between the approaches taken across the different hazards, and we identify potential ways in which different hazard communities can learn from each other. For example, there are a number of global risk studies focusing on hydrological, climatological, and meteorological hazards that have included future projections and disaster risk reduction measures (in the case of floods), whereas fewer exist in the peer-reviewed literature for global studies related to geological hazards. On the other hand, studies of earthquake and tsunami risk are now using stochastic modelling approaches to allow for a fully probabilistic assessment of risk, which could benefit the modelling of risk from other hazards. Finally, we discuss opportunities for learning from methods and approaches being developed and applied to assess natural hazard risks at more continental or regional scales. Through this paper, we hope to encourage further dialogue on knowledge sharing between disciplines and communities working on different hazards and risk and at different spatial scales..