IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v80y2016i2d10.1007_s11069-015-2012-3.html
   My bibliography  Save this article

The spatial exposure of the Chinese infrastructure system to flooding and drought hazards

Author

Listed:
  • Xi Hu

    (University of Oxford)

  • Jim W. Hall

    (University of Oxford
    University of Oxford)

  • Peijun Shi

    (Beijing Normal University)

  • Wee Ho Lim

    (University of Oxford
    University of Oxford)

Abstract

Recent rapid urbanisation means that China has invested in an enormous amount of infrastructure, much of which is vulnerable to natural hazards. This paper investigates from a spatial perspective how the Chinese infrastructure system is exposed to flooding and drought hazards. Infrastructure exposure across three different sectors—energy, transport, and waste—is considered. With a database of 10,561 nodes and 2863 edges that make up the three infrastructure networks, we develop a methodology assigning the number of users to individual infrastructure assets and conduct hotspot analysis by applying the Kernel density estimator. We find that infrastructure assets in Anhui, Beijing, Guangdong, Hebei, Henan, Jiangsu, Liaoning, Shandong, Shanghai, Tianjin, Zhejiang—and their 66 cities—are exceptionally exposed to flooding, which affects sub-sectors including rail, aviation, shipping, electricity, and wastewater. The average number of infrastructure users who could be disrupted by the impacts of flooding on these sectors stands at 103 million. The most exposed sub-sectors are electricity and wastewater (20 and 14 % of the total, respectively). For drought hazard, we restrict our work to the electricity sub-sector, which is potentially exposed to water shortages at hydroelectric power plants and cooling water shortage at thermoelectric power plants, where the number of highly exposed users is 6 million. Spatially, we demonstrate that the southern border of Inner Mongolia, Shandong, Shanxi, Hebei, north Henan, Beijing, Tianjin, south-west of Jiangsu—and their 99 cities—are especially exposed. While further work is required to understand infrastructure’s sensitivity to hazard loading, the results already provide evidence to inform strategic infrastructure planning decisions.

Suggested Citation

  • Xi Hu & Jim W. Hall & Peijun Shi & Wee Ho Lim, 2016. "The spatial exposure of the Chinese infrastructure system to flooding and drought hazards," 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(2), pages 1083-1118, January.
  • Handle: RePEc:spr:nathaz:v:80:y:2016:i:2:d:10.1007_s11069-015-2012-3
    DOI: 10.1007/s11069-015-2012-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-015-2012-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-015-2012-3?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 Tang & Steven Chien & Marouane Temimi & Cheryl Blain & Qu Ke & Liuhui Zhao & Simon Kraatz, 2013. "Vulnerability of population and transportation infrastructure at the east bank of Delaware Bay due to coastal flooding in sea-level rise conditions," 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(1), pages 141-163, October.
    2. Kaizhong Li & Shaohong Wu & Erfu Dai & Zhongchun Xu, 2012. "Flood loss analysis and quantitative risk assessment in 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. 63(2), pages 737-760, September.
    3. Shuang, Qing & Zhang, Mingyuan & Yuan, Yongbo, 2014. "Node vulnerability of water distribution networks under cascading failures," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 132-141.
    4. Wang, Shuliang & Hong, Liu & Chen, Xueguang, 2012. "Vulnerability analysis of interdependent infrastructure systems: A methodological framework," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3323-3335.
    5. Madan Regmi & Shinya Hanaoka, 2011. "A survey on impacts of climate change on road transport infrastructure and adaptation strategies in Asia," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(1), pages 21-41, January.
    6. Olga Wilhelmi & Donald Wilhite, 2002. "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study," 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. 25(1), pages 37-58, January.
    7. Philip J. Ward & Brenden Jongman & Peter Salamon & Alanna Simpson & Paul Bates & Tom De Groeve & Sanne Muis & Erin Coughlan de Perez & Roberto Rudari & Mark A. Trigg & Hessel C. Winsemius, 2015. "Usefulness and limitations of global flood risk models," Nature Climate Change, Nature, vol. 5(8), pages 712-715, August.
    8. Johansson, Jonas & Hassel, Henrik, 2010. "An approach for modelling interdependent infrastructures in the context of vulnerability analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1335-1344.
    9. Jim Hall & Paul Sayers & Richard Dawson, 2005. "National-scale Assessment of Current and Future Flood Risk in England and Wales," 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. 36(1), pages 147-164, September.
    10. Marrone, Stefano & Nardone, Roberto & Tedesco, Annarita & D'Amore, Pasquale & Vittorini, Valeria & Setola, Roberto & De Cillis, Francesca & Mazzocca, Nicola, 2013. "Vulnerability modeling and analysis for critical infrastructure protection applications," International Journal of Critical Infrastructure Protection, Elsevier, vol. 6(3), pages 217-227.
    11. Ouyang, Min & Zhao, Lijing & Hong, Liu & Pan, Zhezhe, 2014. "Comparisons of complex network based models and real train flow model to analyze Chinese railway vulnerability," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 38-46.
    12. Timothy Matisziw & Alan Murray & Tony Grubesic, 2009. "Exploring the vulnerability of network infrastructure to disruption," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(2), pages 307-321, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Edward J. Oughton & Daniel Ralph & Raghav Pant & Eireann Leverett & Jennifer Copic & Scott Thacker & Rabia Dada & Simon Ruffle & Michelle Tuveson & Jim W Hall, 2019. "Stochastic Counterfactual Risk Analysis for the Vulnerability Assessment of Cyber‐Physical Attacks on Electricity Distribution Infrastructure Networks," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 2012-2031, September.
    2. Ryley, Tim & Baumeister, Stefan & Coulter, Liese, 2020. "Climate change influences on aviation: A literature review," Transport Policy, Elsevier, vol. 92(C), pages 55-64.
    3. da Silva, Antonio Samuel Alves & Stosic, Tatijana & Arsenić, Ilija & Menezes, Rômulo Simões Cezar & Stosic, Borko, 2023. "Multifractal analysis of standardized precipitation index in Northeast Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    4. Hong, Wei-Ting & Clifton, Geoffrey & Nelson, John D., 2022. "Rail transport system vulnerability analysis and policy implementation: Past progress and future directions," Transport Policy, Elsevier, vol. 128(C), pages 299-308.

    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. Xi Hu & Jim W. Hall & Peijun Shi & Wee Lim, 2016. "The spatial exposure of the Chinese infrastructure system to flooding and drought hazards," 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(2), pages 1083-1118, January.
    2. Augutis, Juozas & Jokšas, Benas & Krikštolaitis, Ričardas & Urbonas, Rolandas, 2016. "The assessment technology of energy critical infrastructure," Applied Energy, Elsevier, vol. 162(C), pages 1494-1504.
    3. Chao Fang & Piao Dong & Yi-Ping Fang & Enrico Zio, 2020. "Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed," Journal of Risk and Reliability, , vol. 234(2), pages 235-245, April.
    4. Zhao, Chen & Li, Nan & Fang, Dongping, 2018. "Criticality assessment of urban interdependent lifeline systems using a biased PageRank algorithm and a multilayer weighted directed network model," International Journal of Critical Infrastructure Protection, Elsevier, vol. 22(C), pages 100-112.
    5. Galvan, Giulio & Agarwal, Jitendra, 2020. "Assessing the vulnerability of infrastructure networks based on distribution measures," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    6. Abedi, Amin & Gaudard, Ludovic & Romerio, Franco, 2019. "Review of major approaches to analyze vulnerability in power system," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 153-172.
    7. Nicholson, Charles D. & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "Flow-based vulnerability measures for network component importance: Experimentation with preparedness planning," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 62-73.
    8. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    9. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
    10. Jingjing Kong & Slobodan P. Simonovic & Chao Zhang, 2019. "Resilience Assessment of Interdependent Infrastructure Systems: A Case Study Based on Different Response Strategies," Sustainability, MDPI, vol. 11(23), pages 1-31, November.
    11. Gentile, U. & Marrone, S. & Nardone, R. & Bellini, E., 2020. "Computer-aided security assessment of water networks monitoring platforms," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    12. Zio, E. & Ferrario, E., 2013. "A framework for the system-of-systems analysis of the risk for a safety-critical plant exposed to external events," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 114-125.
    13. Zhang, Yanlu & Yang, Naiding, 2018. "Vulnerability analysis of interdependent R&D networks under risk cascading propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 1056-1068.
    14. Bellè, Andrea & Zeng, Zhiguo & Duval, Carole & Sango, Marc & Barros, Anne, 2022. "Modeling and vulnerability analysis of interdependent railway and power networks: Application to British test systems," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    15. Ferrario, E. & Zio, E., 2014. "Assessing nuclear power plant safety and recovery from earthquakes using a system-of-systems approach," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 103-116.
    16. Gao, Xingle & Peng, Minfang & Tse, Chi K., 2022. "Robustness analysis of cyber-coupled power systems with considerations of interdependence of structures, operations and dynamic behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    17. Li, Tao & Rong, Lili, 2021. "Impacts of service feature on vulnerability analysis of high-speed rail network," Transport Policy, Elsevier, vol. 110(C), pages 238-253.
    18. Alexandra Toimil & Iñigo J. Losada & Pedro Díaz-Simal & Cristina Izaguirre & Paula Camus, 2017. "Multi-sectoral, high-resolution assessment of climate change consequences of coastal flooding," Climatic Change, Springer, vol. 145(3), pages 431-444, December.
    19. Beatrice Monteleone & Iolanda Borzí & Brunella Bonaccorso & Mario Martina, 2023. "Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves," 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(3), pages 2761-2796, April.
    20. Yan, Yongze & Hong, Liu & He, Xiaozheng & Ouyang, Min & Peeta, Srinivas & Chen, Xueguang, 2017. "Pre-disaster investment decisions for strengthening the Chinese railway system under earthquakes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 39-59.

    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:spr:nathaz:v:80:y:2016:i:2:d:10.1007_s11069-015-2012-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.