Simulating lava flows by an improved cellular automata method
Computers & Geosciences
A lava flow simulation model for the development of volcanic hazard maps for Mount Etna (Italy)
Computers & Geosciences
The effect of error in gridded digital elevation models on the estimation of topographic parameters
Environmental Modelling & Software
International Journal of Remote Sensing - Advances in the Remote Sensing of Volcanic Activity and Hazards
International Journal of Remote Sensing - Advances in the Remote Sensing of Volcanic Activity and Hazards
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Mount Cameroon (MC), West Africa's most active volcano, is a typical example of a hazardous volcano in a densely populated area, often inflicting damage by lava flows. The spatial variation of the lava flow hazard has not been mapped systematically at MC and at many other volcanoes in developing countries because they are insufficiently documented and not continuously, systematically monitored with integrated state-of-the-art methods. Sophisticated lava flow models requiring the specification of numerous physical properties cannot yet be applied in such cases. Hence, a low-cost approach is proposed to assess the medium-to long-term spatial variation of lava flow hazard. The 'lava flow zonation system using low-cost methods' (LAZSLO) approach takes advantage of freely available topographic data and moderate-resolution (10-100 m) satellite imagery. For any eruption, the formulation used here expresses the probability of lava flow invasion at any location as a product of the spatial variation of eruption probability and exposure of low-lying terrain to lava flow reach. The last term is derived by determining the upslope area from where lava flows can invade a given site. A standard UNESCO formula is then used to estimate the lava flow risk. Hazard assessment results at MC indicate that the southwest and northeast flanks are the most hazardous from lava flows, whereas the risk of damage is greatest in the area between Limbe, Mapanja and Batoke, where industrial, urban and tourism infrastructures are developing rapidly. The presented approach can be applied to assist local authorities with disaster preparedness and emergency planning at many poorly studied volcanoes, particularly in developing countries with limited financial resources.