Examining the impact of lahars on buildings using numerical modelling

Abstract : Lahars are volcanic flows containing a mixture of fluid and sediment which have the potential to cause significant damage to buildings, critical infrastructure and human life. The extent of this damage is controlled by properties of the lahar, location of elements at risk and susceptibility of these elements to the lahar. Here we focus on understanding lahar-induced building damage. Quantification of building damage can be difficult due to the 15 complexity of lahar behaviour (hazard), varying number and type of buildings exposed to the lahar (exposure) and the uncertain susceptibility of buildings to lahar impacts (vulnerability). In this paper, we quantify and examine the importance of lahar hazard, exposure and vulnerability in determining building damage with reference to a case study in the city of Arequipa, Peru. Numerical modelling is used to investigate lahar properties that are important in determining the inundation area and forces applied to buildings. Building vulnerability is 20 quantified through the development of critical depth-pressure curves based on the ultimate bending moment of masonry structures. In the case study area, results suggest that building strength plays a minor role in determining overall building losses in comparison to the effects of building exposure and hydraulic characteristics of the lahar.
Document type :
Journal articles
Complete list of metadatas

Cited literature [50 references]  Display  Hide  Download

Contributor : Sylvaine Jouhannel <>
Submitted on : Thursday, December 20, 2018 - 12:32:10 PM
Last modification on : Tuesday, November 19, 2019 - 2:46:39 AM
Long-term archiving on: Friday, March 22, 2019 - 10:04:48 AM


Mead et al ms..pdf
Files produced by the author(s)



Stuart Mead, Christina Magill, Vincent Lemiale, Jean-Claude Thouret, Mahesh Prakash. Examining the impact of lahars on buildings using numerical modelling. Natural Hazards and Earth System Sciences, European Geosciences Union, 2017, 17 (5), pp.703 - 719. ⟨10.5194/nhess-17-703-2017⟩. ⟨hal-01636812⟩



Record views


Files downloads