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Complex Geoinformation Analysis of Multiple Natural Hazards Using Fuzzy Logic

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Intelligent Systems for Crisis Management (Gi4DM 2018)

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

Natural hazards are existence of natural components and processes, which create a situation that could negatively affect people, the economy and the environment. Rising public awareness about natural hazards could improve the quality of life, save financial resources and even save lives. The complicated essence of natural hazards and the interrelations between natural components require a complex analysis of natural hazard factors. In the current research, the factors are analysed by application of analytic hierarchy process. Spatial overlay analysis is done in GIS environment and as a result, landslide susceptibility and flood susceptibility maps are created. Single hazard maps are overlaid in order to receive a complex hazard level. A fuzzy logic with four inputs and one output is designed. This model is used to determine the complex level of hazard considering the factors interaction. The results of the current research and suggested approach could support decision makers in civil protection, territorial planning and management.

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Author information

Authors and Affiliations

  1. Department of Geology and Geoinformatics, University of Mining and Geology, Sofia, Bulgaria

    Valentina Nikolova

  2. Institute of Robotics, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Plamena Zlateva

Authors
  1. Valentina Nikolova
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  2. Plamena Zlateva
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Corresponding author

Correspondence to Plamena Zlateva .

Editor information

Editors and Affiliations

  1. Department of Geomatics, Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

    Orhan Altan

  2. Microwave Engineering and Electromagnetic Theory, Technische Universität Chemnitz, Chemnitz, Germany

    Madhu Chandra

  3. Department of Geomatics, Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

    Filiz Sunar

  4. LabSoC Laboratory, COMELEC Department, Campus SophiaTech, Institut Mines-Telecom-Telecom ParisTech, Biot, France

    Tullio Joseph Tanzi

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Nikolova, V., Zlateva, P. (2019). Complex Geoinformation Analysis of Multiple Natural Hazards Using Fuzzy Logic. In: Altan, O., Chandra, M., Sunar, F., Tanzi, T. (eds) Intelligent Systems for Crisis Management. Gi4DM 2018. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-030-05330-7_5

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