Volcano - Population Exposure Index(GVM)

Source Global Volcano Model (GVM) and The International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI)
Contributor
Time Period of the Dataset [?] January 01, 2015-January 01, 2015 ... More
Modified [?] 24 November 2015
Dataset Added on HDX [?] 12 May 2015 Less
Expected Update Frequency Every year
Location
Visibility
Public
License
Methodology

The work consists of three components: (a) Comprehensive technical information on volcanic hazard, historical events, exposure and vulnerability, (b) Profile of regions and all countries with active volcanoes, (c) Global volcanic ash fall hazard modelling GVM/IAVCEI contributions to GAR15 includes in-depth information on: - Global inventory volcano and their activity rate - Historical events, mortality data, and impacts - Scientific description of volcanic hazards, types of volcanoes, and categories of eruption - Characteristics of vulnerability to volcano hazards, including physical, social, agricultural, etc. - Description of various methodologies for measuring eruption size, classifying hazard level of a volcano, and description of potential impact. - Current status of hazard and risk modelling methods - Current status of monitoring and early warning systems, as well as planning and emergency response practice around the world. The information can be found in the technical background paper titled: “Global Volcanic Hazard and Risk,” (GVM, 2014b). This paper includes 23 case studies from around the world on various topics related to volcanic hazard, risk, and risk management. It also contains Volcano Hazard Index for those volcanoes that can be classified (n=328) and the Population Exposure Index for every volcano worldwide: this in essence provides information on the population exposure within 10, 30 and 100 km of the volcano, weighted by the likelihood of fatalities from volcanic processes. Within the country profiles there is also information on total population within 10, 30 and 100 km and the proportion of that relative to the total country population. The average recurrence intervals for ash falls exceeding 1, 10 or 100 mm, at 10 km resolution.

Caveats / Comments

This dataset was generated using other global datasets; it should not be used for local applications (such as land use planning). The main purpose of GAR 2015 datasets is to broadly identify high risk areas at global level and for identification of areas where more detailed data should be collected. Some areas may be underestimated or overestimated. Given this analysis was conducted using global datasets, the resolution of which is not sufficient for in-situ planning, it should not be used for critical (like life saving) decisions. UNISDR and collaborators should in no case be liable for misuse or misinterpretation of the presented results. The designations employed and the presentation of material on the maps do not imply the expression of any opinion whatsoever on the part of UNISDR or the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.

The designations employed and the presentation of material on the maps do not imply the expression of any opinion whatsoever on the part of UNISDR or the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. This analysis was conducted using global datasets, the resolution of which is not relevant for in-situ planning and should not be used for life and death decisions. UNISDR and collaborators should in no case be liable for misuse of the presented results.

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