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Generation of a national landslide hazard and risk map for the country of Georgia

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  • George Gaprindashvili
  • Cees Westen

Abstract

Landslide risk assessment for large areas at a country level requires a different approach and data than what is standard practice at large scales. The main goal of this research was to design a methodology for a nationwide landslide risk assessment for Georgia taking into account the limitations in data availability and detail, which do not allow the use of physically based models or statistical methods. Given these limitations, we decided to generate a qualitative landslide risk index using spatial multicriteria evaluation (SMCE). An attempt was made to compile a national landslide inventory, using old and partly destroyed archives from the Soviet period, combined with information from annual field surveys. A web-based interface for the reporting of landslide events was developed to improve the updating of the inventory in future. Relevant factor maps were prepared for the entire country, partly based on remote sensing data. As the available landslide inventory was not sufficient to use statistical methods, the factor maps were weighted using the expert-based SMCE method, and the resulting susceptibility map was validated using the available landslide inventory. The inventory was also used to make an estimation of the spatial probability of landslide occurrence within the various susceptibility classes. The resulting map was used in combination with element-at-risk maps to calculate exposure maps and to make a tentative assessment of the expected landslide losses in a 50-year time period . Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • George Gaprindashvili & Cees Westen, 2016. "Generation of a national landslide hazard and risk map for the country of Georgia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(1), pages 69-101, January.
  • Handle: RePEc:spr:nathaz:v:80:y:2016:i:1:p:69-101
    DOI: 10.1007/s11069-015-1958-5
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    References listed on IDEAS

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    1. Yang Hong & Robert Adler & George Huffman, 2007. "Use of satellite remote sensing data in the mapping of global landslide susceptibility," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 43(2), pages 245-256, November.
    2. Chun Liu & Weiyue Li & Hangbin Wu & Ping Lu & Kai Sang & Weiwei Sun & Wen Chen & Yang Hong & Rongxing Li, 2013. "Susceptibility evaluation and mapping of China’s landslides based on multi-source data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1477-1495, December.
    3. Dalia Kirschbaum & Robert Adler & Yang Hong & Stephanie Hill & Arthur Lerner-Lam, 2010. "A global landslide catalog for hazard applications: method, results, and limitations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 52(3), pages 561-575, March.
    4. Vargas, Luis G., 1990. "An overview of the analytic hierarchy process and its applications," European Journal of Operational Research, Elsevier, vol. 48(1), pages 2-8, September.
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    2. G. Sakkas & I. Misailidis & N. Sakellariou & V. Kouskouna & G. Kaviris, 2016. "Modeling landslide susceptibility in Greece: a weighted linear combination approach using analytic hierarchical process, validated with spatial and statistical analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1873-1904, December.
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