EGU21-10983
https://doi.org/10.5194/egusphere-egu21-10983
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

METEOR: A methodology for assessing the potential for multi-hazard impacts on building exposure in developing nations.

Annie Winson1, Kay Smith2, Colm Jordan1, Katy Mee1, Charles Huyck3, Vitor Silva4, Nicole Paul5, Sharad Wagle5, William Evans6, Emmanuel Kombe6, Innocent Maholi6, Ganesh Jimee5, Claire Dashwood1, Roxana Ciurean1, David Boon1, Christopher Sampson7, Paul Henshaw4, Charles Msangi8, Luca Petrarulo9, Suman Pradhan5, and the METEOR*
Annie Winson et al.
  • 1British Geological Survey, Keyworth, UK
  • 2British Geological Survey, Edinburgh, UK
  • 3ImageCat, Inc., Long Beach, United States
  • 4Global Earthquake Model Foundation, Pavia, Italy
  • 5National Society for Earthquake Technology Nepal, Kathmandu, Nepal
  • 6Humanitarian OpenStreetMap Team, Washington DC, United States
  • 7Fathom, Bristol, United Kingdom
  • 8Disaster Management Department, Dodoma, Tanzania
  • 9Oxford Policy Management, Oxford, United Kingdom
  • *A full list of authors appears at the end of the abstract

The METEOR project (Modelling Exposure Through Earth Observation Routines) is a three year project ending in March 2021, co-funded by the UK Space Agency International Partnership Programme. The aim of this project was to develop innovative methods to understand multi-hazard and exposure, and to deliver robust data for Disaster Risk Management (DRM) in Nepal and Tanzania.

In developing economies there is a pressing need to characterise hazard, exposure and vulnerability to allow for comprehensive DRM plans and pre-positioning. In the METEOR project these exposure protocols and standards were co-developed and validated in Nepal and Tanzania to ensure that they are fit-for-purpose.  Many multi-hazard mapping approaches focus on the frequency of events and use historical financial losses as a proxy for infrastructure impact or exposure (Bell and Glade, 2004; Tate et al., 2010; Schmidt et al., 2011; Kappes et al., 2012). Whilst such approaches may be appropriate for hazards with historic inventories detailing the distribution and scale of events, for others estimation of key factors such as historic frequency, or probability of occurrence or losses, is much more complex.

Here we will present a new methodology for assessing the national impact of multi-hazards on exposure, grounded in earth observation data, in the context of data paucity and high levels of inherent uncertainty. We explore a subset of the METEOR data for Nepal to discuss the main controls on the uncertainty of the final outputs of our model.  We also show how our model can be tied to existing vulnerability curves to link hazard assessments with expected damage.

METEOR:

Annie Winson, Kay Smith, Colm Jordan, Katy Mee, Charles Huyck, Vitor Silva, Nicole Paul, Sharad Wagle, William Evans, Emmanuel Kombe, Innocent Maholi, Ganesh Jimee, Claire Dashwood, Roxana Ciurean, David Boon, Christopher Sampson, Julia Crummy, Paul Henshaw, Charles Msangi, Shubharoop Ghosh, Luca Petrarulo, Aileen Lyon, Shamim Zakaria, Bimal Regmi, Suman Pradhan and John Kiriwai.

How to cite: Winson, A., Smith, K., Jordan, C., Mee, K., Huyck, C., Silva, V., Paul, N., Wagle, S., Evans, W., Kombe, E., Maholi, I., Jimee, G., Dashwood, C., Ciurean, R., Boon, D., Sampson, C., Henshaw, P., Msangi, C., Petrarulo, L., and Pradhan, S. and the METEOR: METEOR: A methodology for assessing the potential for multi-hazard impacts on building exposure in developing nations., EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-10983, https://doi.org/10.5194/egusphere-egu21-10983, 2021.

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