Abstract
Risk management stakeholders in high-populated volcanic islands should be provided with the latest high-quality volcanic information. We present here the first volcanic susceptibility map of Lanzarote and Chinijo Islands and their submarine flanks based on updated chronostratigraphical and volcano structural data, as well as on the geomorphological analysis of the bathymetric data of the submarine flanks. The role of the structural elements in the volcanic susceptibility analysis has been reviewed: vents have been considered since they indicate where previous eruptions took place; eruptive fissures provide information about the stress field as they are the superficial expression of the dyke conduit; eroded dykes have been discarded since they are single non-feeder dykes intruded in deep parts of Miocene-Pliocene volcanic edifices; main faults have been taken into account only in those cases where they could modified the superficial movement of magma. The application of kernel density estimation via a linear diffusion process for the volcanic susceptibility assessment has been applied successfully to Lanzarote and could be applied to other fissure volcanic fields worldwide since the results provide information about the probable area where an eruption could take place but also about the main direction of the probable volcanic fissures.
Highlights
Oceanic volcanic islands should address the analysis of volcanic risk in order to develop emergency plans before unrest, since they are geographically isolated territories and crisis management may be complex
The chronostratigraphy of the Quaternary deposits of Lanzarote and Chinijo Islands has been updated for this work
Volcanic susceptibility analysis must be based on reviewed volcano-structural data at a minimum scale of 1:5.000, since the improvement of the datasets results in a more reliable susceptibility map
Summary
Fissure volcanic fields are characterized by a linear distribution of structures This uniqueness must be considered in the susceptibility analysis. Previous studies usually approached the susceptibility analysis by applying probability density functions (PDFs) by core features or Kernel of Gauss type[1,2,3,4,5,8,9,10,11]). These algorithms have bandwidth acting in one direction of space providing a radially symmetric kernel function. Volcanic activity resumed in the central sector (2.7 Ma16)
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