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Earthquake and post-earthquake vulnerability assessment of urban gas pipelines network

Author

Listed:
  • Saeideh Farahani

    (Amirkabir University of Technology)

  • Ahmad Tahershamsi

    (Amirkabir University of Technology)

  • Behrouz Behnam

    (Amirkabir University of Technology)

Abstract

Urban gas pipelines network as one of the most vital lifelines plays an important role in the level of vulnerability and earthquake damage. Iran is located on the Alpide earthquake belt, which is one of the highly earthquake-prone zones of the world. The first earthquake effect, which can damage pipelines, is the transient ground deformation caused by wave propagation. The second one is the permanent ground deformation, which refers to liquefaction, landslide, and ground failure. With the failure of the gas pipelines, a fire may also occur, and consequently, the indirect damage caused by the earthquake may even further increase. This paper investigates the seismic risk of the Asaluyeh city urban gas distribution network by regarding the all geo-seismic hazard using HAZUS methodology. The post-earthquake ignition is evaluated using fault tree method, and the consequences of the design earthquake are assessed using PHAST package. Finally, the network physical damage risk, human risk, and direct economic risk are all evaluated. The results show that three possible failures may happen in the Asaluyeh gas distribution network. While the probability of an ignition occurrence is 35% for leakage and 32% for breaking, the post-earthquake ignition can affect around 30 people.

Suggested Citation

  • Saeideh Farahani & Ahmad Tahershamsi & Behrouz Behnam, 2020. "Earthquake and post-earthquake vulnerability assessment of urban gas pipelines network," 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. 101(2), pages 327-347, March.
    • Handle: RePEc:spr:nathaz:v:101:y:2020:i:2:d:10.1007_s11069-020-03874-4
    DOI: 10.1007/s11069-020-03874-4
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    References listed on IDEAS

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    1. Mehdi Mousavi & Mostafa Hesari & Alireza Azarbakht, 2014. "Seismic risk assessment of the 3rd Azerbaijan gas pipeline in Iran," 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. 74(3), pages 1327-1348, December.
    2. Selcuk Toprak & Filiz Taskin, 2007. "Estimation of Earthquake Damage to Buried Pipelines Caused by Ground Shaking," 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. 40(1), pages 1-24, January.
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    Cited by:

    1. Qi Tong & Thomas Gernay, 2022. "A hierarchical Bayesian model for predicting fire ignitions after an earthquake with application to California," 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. 111(2), pages 1637-1660, March.
    2. Qing Deng & Kuo Wang & Jiahao Wu & Feng Yu & Huiling Jiang & Lida Huang, 2023. "An integrated model for evaluating the leakage risk of urban gas pipe: a case study based on Chinese real accident 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. 116(1), pages 319-340, March.
    3. Anže Babič & Matjaž Dolšek & Jure Žižmond, 2021. "Simulating Historical Earthquakes in Existing Cities for Fostering Design of Resilient and Sustainable Communities: The Ljubljana Case," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    4. Zheng He & Negar Elhami Khorasani, 2022. "Identification and hierarchical structure of cause factors for fire following earthquake using data mining and interpretive structural modeling," 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. 112(1), pages 947-976, May.
    5. Lihui Wu & Da Ma & Jinling Li, 2023. "Assessment of the Regional Vulnerability to Natural Disasters in China Based on DEA Model," Sustainability, MDPI, vol. 15(14), pages 1-12, July.

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