IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v82y2023ics0957178723000656.html
   My bibliography  Save this article

Natural hazard risk management in the Chilean drinking water industry: Diagnosis and recommendations

Author

Listed:
  • Molinos-Senante, María
  • Chamorro, Alondra
  • Contreras, Marta
  • Echaveguren, Tomas

Abstract

Disaster risk management in water infrastructure is still a world challenge. In this study, we present and discuss the results of an extensive survey conducted to Chilean water companies focused on disaster risk management in the production of drinking water. The main conclusions were: i) there is significant heterogeneity in the practices applied by water companies; ii) water companies use a large variety of tools to manage natural disasters; iii) earthquake is the one more relevant hazard for water companies. Based on the main conclusions of the survey, a set of recommendations for the Chilean water industry are proposed.

Suggested Citation

  • Molinos-Senante, María & Chamorro, Alondra & Contreras, Marta & Echaveguren, Tomas, 2023. "Natural hazard risk management in the Chilean drinking water industry: Diagnosis and recommendations," Utilities Policy, Elsevier, vol. 82(C).
  • Handle: RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000656
    DOI: 10.1016/j.jup.2023.101553
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957178723000656
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jup.2023.101553?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Han, Fangyuan & Zio, Enrico, 2019. "A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 1-13.
    2. Aven, Terje, 2010. "On how to define, understand and describe risk," Reliability Engineering and System Safety, Elsevier, vol. 95(6), pages 623-631.
    3. Faramondi, Luca & Oliva, Gabriele & Setola, Roberto, 2020. "Multi-criteria node criticality assessment framework for critical infrastructure networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    4. Brown, Charlotte & Seville, Erica & Vargo, John, 2017. "Measuring the organizational resilience of critical infrastructure providers: A New Zealand case study," International Journal of Critical Infrastructure Protection, Elsevier, vol. 18(C), pages 37-49.
    5. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Majeed Abimbola & Faisal Khan, 2018. "Dynamic Blowout Risk Analysis Using Loss Functions," Risk Analysis, John Wiley & Sons, vol. 38(2), pages 255-271, February.
    2. Caputo, Antonio C. & Federici, Alessandro & Pelagagge, Pacifico M. & Salini, Paolo, 2023. "Offshore wind power system economic evaluation framework under aleatory and epistemic uncertainty," Applied Energy, Elsevier, vol. 350(C).
    3. Aven, Terje, 2013. "A conceptual framework for linking risk and the elements of the data–information–knowledge–wisdom (DIKW) hierarchy," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 30-36.
    4. Terje Aven & Ortwin Renn, 2015. "An Evaluation of the Treatment of Risk and Uncertainties in the IPCC Reports on Climate Change," Risk Analysis, John Wiley & Sons, vol. 35(4), pages 701-712, April.
    5. Nguyen, Son & Chen, Peggy Shu-Ling & Du, Yuquan & Shi, Wenming, 2019. "A quantitative risk analysis model with integrated deliberative Delphi platform for container shipping operational risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 203-227.
    6. Wang, Jian & Gao, Shibin & Yu, Long & Ma, Chaoqun & Zhang, Dongkai & Kou, Lei, 2023. "A data-driven integrated framework for predictive probabilistic risk analytics of overhead contact lines based on dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    7. Bing Wu & Huibin Tian & Xinping Yan & C. Guedes Soares, 2020. "A probabilistic consequence estimation model for collision accidents in the downstream of Yangtze River using Bayesian Networks," Journal of Risk and Reliability, , vol. 234(2), pages 422-436, April.
    8. Tornyeviadzi, Hoese Michel & Owusu-Ansah, Emmanuel & Mohammed, Hadi & Seidu, Razak, 2022. "A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    9. van Winsen, Frankwin & de Mey, Yann & Lauwers, Ludwig & Van Passel, Steven & Vancauteren, Mark & Wauters, Erwin, 2013. "Cognitive mapping: A method to elucidate and present farmers’ risk perception," Agricultural Systems, Elsevier, vol. 122(C), pages 42-52.
    10. Giffoni, Eduarda & Jude, Simon & Smith, Heather M. & Pollard, Simon J.T., 2022. "Real-life resilience: Exploring the organisational environment of international water utilities," Utilities Policy, Elsevier, vol. 79(C).
    11. Inger Lise Johansen & Marvin Rausand, 2014. "Defining complexity for risk assessment of sociotechnical systems: A conceptual framework," Journal of Risk and Reliability, , vol. 228(3), pages 272-290, June.
    12. Abrahamsen, Eirik Bjorheim & Abrahamsen, Håkon Bjorheim & Milazzo, Maria Francesca & Selvik, Jon Tømmerås, 2018. "Using the ALARP principle for safety management in the energy production sector of chemical industry," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 160-165.
    13. Gianluca Pescaroli & David Alexander, 2018. "Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2245-2257, November.
    14. Aven, Terje, 2011. "On the new ISO guide on risk management terminology," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 719-726.
    15. Goerlandt, Floris & Montewka, Jakub, 2015. "Maritime transportation risk analysis: Review and analysis in light of some foundational issues," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 115-134.
    16. Tien-Li Chen & Chin-Chuan Chen & Yen-Ching Chuang & James J. H. Liou, 2020. "A Hybrid MADM Model for Product Design Evaluation and Improvement," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    17. Sankararaman, S. & Mahadevan, S., 2013. "Separating the contributions of variability and parameter uncertainty in probability distributions," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 187-199.
    18. J Montewka & P Krata & F Goerlandt & A Mazaheri & P Kujala, 2011. "Marine traffic risk modelling – an innovative approach and a case study," Journal of Risk and Reliability, , vol. 225(3), pages 307-322, September.
    19. R. Cantelmi & G. Di Gravio & R. Patriarca, 2021. "Reviewing qualitative research approaches in the context of critical infrastructure resilience," Environment Systems and Decisions, Springer, vol. 41(3), pages 341-376, September.
    20. Andrea Kampmann & Burkhard Pedell, 2022. "Using Storytelling to Promote Organizational Resilience: An Experimental Study of Different Forms of Risk Communication," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 695-725, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:juipol:v:82:y:2023:i:c:s0957178723000656. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/utilities-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.