2008
DOI: 10.1080/01431160802167873
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A new approach to assess long‐term lava flow hazard and risk using GIS and low‐cost remote sensing: the case of Mount Cameroon, West Africa

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Cited by 43 publications
(51 citation statements)
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“…With a sub-aerial volume of ∼1,300 km3, Mt Cameroon is one of the largest continental volcanoes and the most active volcano of West Africa with at least 7 eruptions in the last hundred years (Fitton 1983;Suh et al 2003;Njome et al 2008). Recent lava flows (Suh et al 2003), tectonic earthquakes (Ateba 2009), landslides (Ayonghe et al 2004) and lake out-gassing (Freeth and Kay 1987) events in SW Cameroon have caused casualties and damage to property and infrastructure, highlighting the need to assess volcano-related hazards in this densely populated region (Bonne et al 2007;Thierry et al 2008).…”
Section: Introductionmentioning
confidence: 98%
“…With a sub-aerial volume of ∼1,300 km3, Mt Cameroon is one of the largest continental volcanoes and the most active volcano of West Africa with at least 7 eruptions in the last hundred years (Fitton 1983;Suh et al 2003;Njome et al 2008). Recent lava flows (Suh et al 2003), tectonic earthquakes (Ateba 2009), landslides (Ayonghe et al 2004) and lake out-gassing (Freeth and Kay 1987) events in SW Cameroon have caused casualties and damage to property and infrastructure, highlighting the need to assess volcano-related hazards in this densely populated region (Bonne et al 2007;Thierry et al 2008).…”
Section: Introductionmentioning
confidence: 98%
“…For these tasks, a large number of methods have been proposed such as a statistical method using Weibull analysis and a non-homogeneous generalized Pareto-Poisson process [83], a mixture of exponentials distributions [84], a Bayesian event tree to estimate volcanic hazard (BET VH) [85][86][87], a Bayesian event tree for eruption forecasting [88], the extreme value theory [89] A detailed description of GIS and their application to natural hazards is presented by Tarolli and Cavalli [101]. Such analysis of data has allowed addressing many applications such as analysis of lava ows [95], discrimination of volcanic ashes according to textures [102], ranking of volcanic threats [103], zonation of volcanic hazards [104], zonation of lava ow [105], analysis of sensitivity to lahar hazards for variations in exposed population [106], forecast of style and size of eruptions [82], pattern recognition of volcanic tremor data [107], management of volcanic crises [108], modelling of volcanic source [90], location of incipient volcanic vents [75], characterization of thermal volcanic activities [91], land-use and contingency planning as risk mitigation strategies [80], and development of volcanic alert systems [109].…”
Section: Volcanic Eruptionsmentioning
confidence: 99%
“…Basaltic lava flows occur predominantly along the NE and SW flanks of the volcano. These lava flows are relatively mobile, reaching lengths of up to 9 km (Bonne et al 2008;Favalli et al 2011;Njome et al 2008;Wantim et al 2013a, b), and thus pose a potential threat to communities at the base of the volcano. Favalli et al (2011) and Wantim et al (2013b) developed idealised lava flow models to be used as a base to alert and potentially evacuate communities at risk of advancing lava flows.…”
Section: Mount Cameroon: General Setting and Types Of Natural Hazardsmentioning
confidence: 99%
“…Donovan et al (2014) suggest that Mount Cameroon is considered as a low risk potential, due to the predominantly effusive nature of its eruptions, but with an extremely high likelihood of an eruption in the next 30 years. A number of volcanic hazard and risk assessments have been performed (Bonne et al 2008;Thierry et al 2008;Favalli et al 2011;Gehl et al 2013) but these have largely been limited to scientific publications. Translation of relevant scientific information into understandable language for the local population is yet to be fully implemented in the area, and will facilitate the delivery of more efficient assistance in preparedness and response to natural hazards (e.g.…”
Section: Project Motivationmentioning
confidence: 99%