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Climate Change, Extreme Events and Disaster Risk Reduction pp 17–41Cite as

Analysis of Weather- and Climate-Related Disasters in Mountain Regions Using Different Disaster Databases

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Part of the book series: Sustainable Development Goals Series ((SDGS))

Abstract

Mountains are fragile ecosystems with global importance, providing key ecosystems services within mountainous areas but also for the lowlands. However, mountain regions are prone to natural disasters and exposed to multiple hazards. In this chapter, we present four disaster databases (EM-DAT, NatCatSERVICE, DesInventar, Dartmouth) that store information about spatiotemporal occurrence and impacts of natural disasters in mountain areas. Quality and completeness of the four databases are compared and analyzed regarding reliability for weather- and climate-related natural disasters. The analysis identifies the numbers of fatalities as the most reliable loss parameters, whereby the number of people affected and the economic loss are less trustworthy and highly dependent on the purposes of each database. Main limitations regarding sustainable mountain development are the inhomogeneity in database definitions, spatial resolutions, database purposes and lack of data registration for human and economic losses. While some individual disasters such as the Kedarnath flood in northern India in 2013 have been robustly linked to changes in climate, there is generally insufficient evidence to attribute any overall increasing disaster frequency to climate change. Damage due to hazard in mountain regions will increase irrespective of global warming, in regions where populations are growing and infrastructure is developed at exposed locations.

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Acknowledgements

We are grateful to Holger Frey for carefully reviewing the manuscript and for providing valuable input. Further, we would like to thank Petra Löw from Munich RE for the provision of data from the NatCatSERVICE database and for helpful discussion. We also thank Regina Below from the EM-DAT database for providing disaster data and for her explanatory notes. Thanks are also due to Sue McStea for English proofreading. This chapter is a contribution to the Sustainable Mountain Development for Global Change (SMD4GC) programme that is supported by the Swiss Agency for Development and Cooperation (SDC).

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Authors and Affiliations

  1. Department of Geography, University of Zurich, Zurich, Switzerland

    Anina Stäubli, Samuel U. Nussbaumer, Simon K. Allen & Christian Huggel

  2. Department of Natural Hazards, Kanton Bern, Bern, Switzerland

    Anina Stäubli

  3. Department of Geosciences, University of Fribourg, Fribourg, Switzerland

    Samuel U. Nussbaumer

  4. CONDESAN, Lima, Peru

    María Arguello

  5. CONDESAN, Quito, Ecuador

    María Arguello

  6. Climate Services Department, Centro Internacional para la Investigación del Fenómeno de El Niño (CIIFEN), Guayaquil, Ecuador

    Felipe Costa, Rodney Martínez & Eduardo Zambrano

  7. University of Central Asia (UCA), Mountain Societies Research Institute (MSRI), Bishkek, Kyrgyz Republic

    Christian Hergarten

  8. Escuela Latinoamericana de Desarrollo Local Sostenible y Resiliente (ELADES), Santiago, Chile

    Jaime Soto

  9. Risk Management Consultant, Panama City, Panama

    Ruben Vargas

  10. Institute of Geography, University of Bern, Bern, Switzerland

    Markus Zimmermann

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  1. Anina Stäubli
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Correspondence to Samuel U. Nussbaumer .

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Editors and Affiliations

  1. Department of Geography, Shaheed Bhagat Singh College, University of Delhi, New Delhi, India

    Suraj Mal

  2. Department of Geography, Delhi School of Economics, University of Delhi, New Delhi, India

    R.B. Singh

  3. Department of Geography, University of Zurich—Irchel, Zürich, Switzerland

    Christian Huggel

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Stäubli, A. et al. (2018). Analysis of Weather- and Climate-Related Disasters in Mountain Regions Using Different Disaster Databases. In: Mal, S., Singh, R., Huggel, C. (eds) Climate Change, Extreme Events and Disaster Risk Reduction. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-319-56469-2_2

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