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A method for na-tech risk assessment as supporting tool for land use planning mitigation strategies

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  • Adriana Galderisi
  • Andrea Ceudech
  • Massimiliano Pistucci

Abstract

Hazardous industrial sites have always represented a threat for the community often provoking major accidents overcoming the boundaries of the plants and affecting the surrounding urban areas. If the industrial sites are located in natural hazard-prone areas, technological accidents may be triggered by natural events, generating so-called na-tech events which may modify and increase the impact and the overall damage in the areas around them. Nevertheless, natural and technological hazards are still treated as two separate issues, and up to now the methods for na-tech risk assessment have been developed mainly for specific natural hazards, generally restricted to some plant typologies and to the area of the plant itself. Based on a review of the current na-tech literature, this article illustrates a risk assessment method as a supporting tool for land use planning strategies aimed at reducing na-tech risk in urban areas. More specifically, a multi attribute decision-making method, combined with fuzzy techniques, has been developed. The method allows planners to take into account, according to different territorial units, all the individual na-tech risk factors, measured through both quantitative and qualitative parameters, while providing them with a na-tech risk index, useful to rank the territorial units and to single out the priority intervention areas. The method is designed to process information generally available about hazardous plants (safety reports), natural hazards (hazard maps) and features of urban systems mainly influencing their exposure and vulnerability to na-tech events (common statistical territorial data). Furthermore, the method implemented into a GIS framework should easily provide planners with comparable maps to figure out the hazard factors and the main territorial features influencing the exposure and vulnerability of urban systems to na-tech events. The method has been tested on a middle-sized Municipality in the Campania Region, identified as 2nd class seismic zone, according to the Ordinance 3274/2003, in which a LPG storage plant, classified as a plant with major accident potential by the Seveso II Directive (art. 9), is located just within the city core. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Adriana Galderisi & Andrea Ceudech & Massimiliano Pistucci, 2008. "A method for na-tech risk assessment as supporting tool for land use planning mitigation strategies," 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. 46(2), pages 221-241, August.
  • Handle: RePEc:spr:nathaz:v:46:y:2008:i:2:p:221-241
    DOI: 10.1007/s11069-008-9224-8
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    References listed on IDEAS

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    1. Jie Lu & Guangquan Zhang & Da Ruan & Fengjie Wu, 2007. "Fuzzy Group Decision Making," World Scientific Book Chapters, in: Multi-Objective Group Decision Making Methods, Software and Applications with Fuzzy Set Techniques, chapter 10, pages 207-227, World Scientific Publishing Co. Pte. Ltd..
    2. Jie Lu & Guangquan Zhang & Da Ruan & Fengjie Wu, 2007. "Group Decision Making," World Scientific Book Chapters, in: Multi-Objective Group Decision Making Methods, Software and Applications with Fuzzy Set Techniques, chapter 3, pages 39-51, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Tiezhong Liu & Hubo Zhang & Xiaowei Li & Haiyan Li, 2017. "Effects of organization factors on flood-related Natechs in urban areas of China," 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. 88(1), pages 355-365, August.
    2. Marzo, E. & Busini, V. & Rota, R., 2015. "Definition of a short-cut methodology for assessing the vulnerability of a territory in natural–technological risk estimation," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 92-97.
    3. José Carlos de Moura Xavier & Wilson Cabral Sousa Junior, 2016. "Recognising na-tech events in Brazil: moving forward," 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. 82(1), pages 493-506, May.
    4. Nicholas Santella & Laura J. Steinberg & Gloria Andrea Aguirra, 2011. "Empirical Estimation of the Conditional Probability of Natech Events Within the United States," Risk Analysis, John Wiley & Sons, vol. 31(6), pages 951-968, June.
    5. Yunfeng Yang & Guohua Chen & Yuanfei Zhao, 2023. "A Quantitative Framework for Propagation Paths of Natech Domino Effects in Chemical Industrial Parks: Part II—Risk Assessment and Mitigation System," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    6. Pilone, E. & Demichela, M., 2018. "A semi-quantitative methodology to evaluate the main local territorial risks and their interactions," Land Use Policy, Elsevier, vol. 77(C), pages 143-154.
    7. Bernier, Carl & Gidaris, Ioannis & Balomenos, Georgios P. & Padgett, Jamie E., 2019. "Assessing the accessibility of petrochemical facilities during storm surge events," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 155-167.

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