Human Vulnerability to Landslides.

disaster landslide mortality probability of death risk analysis vulnerability

Journal

GeoHealth
ISSN: 2471-1403
Titre abrégé: Geohealth
Pays: United States
ID NLM: 101706476

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 10 06 2020
revised: 24 08 2020
accepted: 15 09 2020
entrez: 23 10 2020
pubmed: 24 10 2020
medline: 24 10 2020
Statut: epublish

Résumé

Landslides pose a devastating threat to human health, killing thousands of people annually. Human vulnerability is a crucial element of landslide risk reduction, yet up until now, all methods for estimating the human consequences of landslides rely on subjective, expert judgment. Furthermore, these methods do not explore the underlying causes of mortality or inform strategies to reduce landslide risk. In light of these issues, we develop a data-driven tool to estimate an individual's probability of death based on landslide intensity, which can be used directly in landslide risk assessment. We find that between inundation depths of approximately 1-6 m, human behavior is the primary driver of mortality. Landslide vulnerability is strongly correlated with the economic development of a region, but landslide losses are not stratified by gender and age to the degree of other natural hazards. We observe that relatively simple actions, such as moving to an upper floor or a prepared refuge space, increase the odds of survival by up to a factor of 12. Additionally, community-scale hazard awareness programs and training for citizen first responders offer a potent means to maximize survival rates in landslides.

Identifiants

pubmed: 33094206
doi: 10.1029/2020GH000287
pii: GH2190
pmc: PMC7567151
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e2020GH000287

Informations de copyright

©2020. The Authors.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest relevant to this study.

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Auteurs

William Pollock (W)

Department of Civil and Environmental Engineering University of Washington Seattle WA USA.

Joseph Wartman (J)

Department of Civil and Environmental Engineering University of Washington Seattle WA USA.

Classifications MeSH