The inherent complexity associated with volcanic eruptions and their relationship with societies requires innovative strategies about how we assess and manage risk. The 2011 Cordón Caulle eruption (2011-CC) demonstrated the additional complexity associated with secondary hazards and cascading effects that prolong and exacerbate the primary impact in both the short- and long-term. In particular, the remobilisation of volcanic ash driven by wind has generated a long-lasting impact, even at current time 8 years after the eruption. The detailed impact analysis in the three localities most impacted by this eruption, Villa la Angostura (VLA), San Carlos de Bariloche (SCB), and Ingeniero Jacobacci (IJ), reveals that we need a better understanding of the interaction of hazard typology and intensity with the various exposed systems in this region (e.g. critical infrastructures, agriculture, population). One of the most important complications rises from the fact that compiling impact data in an integrative and efficient way is a difficult task. During the crisis period, there is no time to design data acquisition templates, which are essential for the posterior impact analysis; after the crisis, the sparse and inhomogeneous collection of data is often difficult to interpret. Despite the large amount of data available in different formats provided by various stakeholders (e.g. technical reports, damage inventories, newspapers, pictures and videos), there is no standard methodologies on how to integrate and structure this information a posteriori in order to prioritize mitigation measures and reduce future volcanic risk. With the objective of increasing community preparedness and developing more efficient strategies for collection of impact data, the University of Geneva in collaboration with the National Institute of Technology and Agriculture of Argentina have organised a workshop to gather stakeholders from various disciplines and institutions. This workshop was designed to provide a feedback on the impact analysis carried out as part of the Swiss National Science Foundation project #200021_163152 (2015-2019), and to compile the stakeholders perspectives, lessons learnt and risk reduction strategies adopted.
Cite this work
Researchers should cite this work as follows: