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Elsevier, Journal of Volcanology and Geothermal Research, 1-2(203), p. 12-22

DOI: 10.1016/j.jvolgeores.2011.03.006

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Tephra fallout hazard assessment for a Plinian eruption scenario at Volcán de Colima (Mexico)

This paper is available in a repository.
This paper is available in a repository.

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Abstract

Volcanic ash fallout associated with renewal of explosive activity at Colima, represents a serious threat to the surrounding urbanized area. Here we assess the tephra fallout hazard associated with a Plinian eruption scenario. The eruptive history of Volcán de Colima shows that Plinian eruptions occur approximately every 100 years and the last eruption, the 1913, represents the largest historic eruption of this volcano. We used the last eruption as a reference to discuss volcanic hazard and risk scenarios connected with ash fallout. Tephra fallout deposits are modeled using HAZMAP, a model based on a semi-analytical solution of the advection–diffusion–sedimentation equation for volcanic particles. Based on a statistical study of wind profiles at Colima region, we first reconstructed ash loading maps and then computed ground load probability maps for different seasons. The obtained results show that a Plinian eruptive scenario at Volcán de Colima, could seriously damage more than 10 small towns and ranches, and potentially affect big cities located at tens of kilometers from the eruptive center. The probability maps obtained are aimed to give support to the risk mitigation strategies.Research Highlights► The paper is focused on the reconstruction of the 1913 eruption of Volcan de Colima. ► Hazard assessment for a Plinian scenario subsequent to a possible renewal of the Colima activity. ► Tephra fallout deposits are modeled using HAZMAP, a model based on a semi-analytical solution of the advection-diffusion-sedimentation equation for volcanic particles. ► Based on a statistical study of different wind profiles at Colima region, we reconstructed ash loading maps and computed ground load probability maps for different seasons. ► The probability maps obtained are aimed to give support to the risk mitigation strategies.