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Overview map around Cotopaxi volcano, showing exposed elements (human settlements, roads, airports), the hazard scenario used throughout this study (isomass map for an ERS of VEI 4-50 % probability of occurrence; Biass and Bonadonna, this volume) and the topographic context. The population density is inferred from the LandScan 2005 dataset. This area of Ecuador is divided into three regions: (i) La Sierra (central, orange), (ii) La Costa (west, purple) and (iii) La Amazonia (east, green)

Overview map around Cotopaxi volcano, showing exposed elements (human settlements, roads, airports), the hazard scenario used throughout this study (isomass map for an ERS of VEI 4-50 % probability of occurrence; Biass and Bonadonna, this volume) and the topographic context. The population density is inferred from the LandScan 2005 dataset. This area of Ecuador is divided into three regions: (i) La Sierra (central, orange), (ii) La Costa (west, purple) and (iii) La Amazonia (east, green)

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In order to develop efficient strategies for risk mitigation and emergency management, planners require the assessment of both the expected hazard (frequency and magnitude) and the vulnerability of exposed elements. This paper presents a GIS-based methodology to produce qualitative to semi-qualitative thematic risk assessments for tephra fallout ar...

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Context 1
... to tephra fallout able to combine geological and geographical datasets of varying precision and scales. Where the method is not able to quantify the expected losses, it still provides qualitative indications of the potential impact of tephra fallout. As an example, this strategy was applied to the area located around Cotopaxi volcano, Ecuador (Fig. ...
Context 2
... In order to present the method in a concise way, this paper illustrates two vulnerability themes (i.e. economic and physical) with one medium intensity eruptive scenario. The eruptive scenario chosen as an example is an ERS for VEI 4, with plume heights and erupted masses varying between 15 and 30 km and 1 -10 9 10 11 kg, respectively (Fig. 1). Hazard maps for all eruption scenarios can be found in Online Resource 1 of Biass and Bonadonna (this volume). Vulnerability and risk maps for all eruption scenarios and vulnerability themes are available in Online Resource 1 and 2 of this ...
Context 3
... resulting risk maps show a higher risk in administrative units located in the proximal and downwind areas and decreases away from the vent (Fig. 3b), which do not contain high densities of population (Fig. 1). Figure 3b is the resulting physical risk map considering an ERS of VEI 4 where the two closest parishes (Mulalo and Machachi) have values of building collapse of 2246 and 6221, respectively, corresponding to a loss of 100 % of the buildings in both cases. Physical risk maps for all eruptive scenarios are shown in the Online Resource ...
Context 4
... developed a method for a fast and remote qualitative assessment of the vulner- ability and the risk related to tephra fallout. The methodology was applied to Cotopaxi volcano, for which a thorough hazard assessment is described in Biass and Bonadonna (this volume). In this paper, we propose the use of isomass maps for a given probability (e.g. Fig. 1) when combining probabilistic hazard modelling and vulnerability assessments. In fact, isomass maps for given probability levels (e.g. 50 %) make the evaluation of the exposure clearer to decision-makers and the identification of the potential losses faster for governments. The acceptable levels of risk required to compile isomass maps ...
Context 5
... Areas between * 300 and * 18,000 km 2 (ERS for VEIs 3 and 5, respectively) could be affected by an accumulation of tephra of 10 kg/m 2 (about 1 cm). As shown in Fig. 1, the area most likely to be impacted is located west of the volcano, along the direction of prevailing winds, with consequences on (1) the important Panamerican Highway, which connects the Southern towns and cities of the Interandean valley to Quito and (2) the rural areas located around the town of Latacunga. The tephra threshold of ...

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... The use of GIS during post-disaster reconstruction (PDR) not only supports community participation and stakeholder engagement (Ali et al. 2020, Tafti andTomlinson 2015) but also facilitates emergency response planning (Dunn and Gonzalez-Otalora 2021) and provides timely and reliable information on infrastructure damages (Qi et al. 2021). Furthermore, GIS and remote sensing play a crucial role in conducting effective risk and vulnerability assessments, as well as implementing mitigation strategies (Biass et al. 2012, Mahmood et al. 2019. GIS also contributes to the improvement of land use patterns, offering opportunities to reduce vulnerabilities and enhance the design of the built environment (Gigović et al. 2017, Yau et al. 2014. ...
... Travel time or access penalties have been used to explore road vulnerability to volcanic hazards (e.g. Biass et al. 2012;Mossoux et al. 2019), whereby a hazard or impact threshold is used to reduce the functionality of a road. Scoring systems (such as those used in some index models to combine different types of vulnerability) have also been used to identify potential network disruption hotspots or to provide an overall score of system functionality for comparison across volcanoes, eruption scenarios or hazards (Galderisi et al. 2013;Bonadonna et al. 2021;Nieto-Torres et al. 2021;Hayes et al. 2022). ...
... Landslide risk assessments are complex tasks which involve geographic data of large areas of surface such as: land use, road network, human settlements, topography, temporal data, wind speed and patterns and variation in population density. Such data can come from diverse sources (El Morjani et al., 2007;Biass et al., 2013). The main limitations of the application of geo-informatics are: (1) the high demand and cost of data, (2) the need for multivariate / multi-format analysis, (3) the need for frequent updates of said data, and (4) databases and parameters relevant to the assessment of social vulnerability are difficult to map (Ebert et al., 2009). ...
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... Copyright Iste 2022 / File for personal use of Alessandro Tadini only isomass maps involves the same considerations as for isopach maps, and isomass maps could also be used to obtain the dispersion axis and the dispersal area (see previous section). Mass loading is an important parameter for defining the stability of roofs under tephra load and for determining mass loading threshold values that impact different elements at risk (Biass et al. 2013), both in real time (syn-eruptive conditions) and for long-term hazard and risk studies (post-eruptive conditions). ...
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... Le processus de dérivation des cartes d'isomasse implique les mêmes considérations que pour les cartes d'isopaque, et les cartes d'isomasse pourraient également être utilisées pour obtenir l'axe et la zone de dispersion (voir la section précédente). La charge massique est un paramètre important pour définir la stabilité des toitures sous l'effet des retombées et pour déterminer les valeurs seuils de la charge massique qui impactent différents éléments à risque (Biass et al. 2013), à la fois en temps réel (conditions syn-éruptives) et pour les études à long terme sur les dangers et les risques (conditions post-éruptives). ...
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