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Cited by 19Infrastructure Resilience and Vulnerability AnalysisWater Resources and SustainabilityWater resources management and optimization

Resilience Assessment and Critical Point Identification for Urban Water Supply Systems under Uncertain Scenarios

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Liu, Jinning, Shao, Zhiguo, Wang, Wei·2021·Water
DOI 10.3390/w13202939
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Abstract

The urban water supply system environment is becoming more complicated and unpredictable than ever before in the context of global climate change and expanding urbanization. Existing studies have adopted either static or dynamic approaches to assess the resilience of water supply systems without combining the two. Previous literature mostly establishes rigid quantitative metrics for resilience assessment, often without depicting the dynamics and adaptability of system resilience. For example, these studies usually fail to provide a critical point for identifying system resilience. To accurately describe the dynamics and adaptability of water supply system resilience under uncertain scenarios, in this study, we constructed a comprehensive framework based on the qualitative assessment of the input parameters, combining static and dynamic assessment, with the latter playing a dominant role based on the system perspective of pressure–state–influence–response. Taking Qingdao as a case study, we combined this framework with the system resilience theory, and statically assessed the five types of capitals and three attributes of resilience with the capital portfolio approach (CPA). Then, we dynamically assessed the resilience of urban water supply systems and identified critical points with the dynamic socio-technical model coupled with system resilience and the fitting analysis method. The results are as follows: (1) the static assessment results demonstrate an imbalanced development in the levels of the five types of capitals (financial capital, management efficiency, infrastructure, available water resources, and adaptation) and three attributes (robustness, recoverability, and adaptability) in the water supply systems of Qingdao. (2) The dynamic assessment results show that the current resilience trajectory of the water supply systems in Qingdao is that of a city in transition. (3) The fitting analysis shows that robustness (RB) has a linear relationship with resilience, recoverability (RE) has a non-linear relationship with resilience, and the critical points are RB = 0.70 and RE = 1.20. The research findings provide a reference for studying resilience mechanisms, internal attribute relationships, and resilience enhancement measures of urban water supply systems.

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Research works printed but not linked: 61

  1. Minucci, G. Assessing adaptive capacity of water management organizations. The case study of the municipality of Tomave (Bolivia). J. Risk Res. 2016, 19, 847-872. [CrossRef] · DOI
  2. Ulibarri, N.; Scott, T.A. Environmental hazards, rigid institutions, and transformative change: How drought affects the con- sideration of water and climate impacts in infrastructure management. Glob. Environ. Chang. 2019, 59, 102005. [CrossRef] [PubMed] · DOI
  3. Simonovic, S.P. Systems Approach to Management of Water Resources-Toward Performance Based Water Resources Engineering. Water 2020, 12, 1208. [CrossRef] · DOI
  4. Sweya, L.N.; Wilkinson, S.; Mayunga, J.; Joseph, A.; Lugomela, G.; Victor, J. Development of a Tool to Measure Resilience against Floods for Water Supply Systems in Tanzania. J. Manag. Eng. 2020, 36, 0502007. [CrossRef] · DOI
  5. Short, M.D.; Peirson, W.L.; Peters, G.M.; Cox, R.J. Managing Adaptation of Urban Water Systems in a Changing Climate. Water Resour. Manag. 2012, 26, 1953-1981. [CrossRef] · DOI
  6. Hoover, D.J.; Odigie, K.O.; Swarzenski, P.W.; Barnard, P. Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA. J. Hydrol. Reg. Stud. 2017, 11, 234-249. [CrossRef] · DOI
  7. Abidin, H.Z.; Andreas, H.; Gumilar, I.; Fukuda, Y.; Pohan, Y.E.; Deguchi, T. Land subsidence of Jakarta (Indonesia) and its relation with urban development. Nat. Hazards 2011, 59, 1753-1771. [CrossRef] · DOI
  8. Cubillo, F.; Martínez-Codina, Á. A metric approach to measure resilience in water supply systems. J. Appl. Water Eng. Res. 2019, 7, 67-78. [CrossRef] · DOI
  9. Balaei, B.; Wilkinson, S.; Potangaroa, R.; Hassani, N.; Alavi-Shoshtari, M. Developing a Framework for Measuring Water Supply Resilience. Nat. Hazards Rev. 2018, 19, 04018013. [CrossRef] · DOI
  10. Joannou, D.; Kalawsky, R.; Saravi, S.; Rivas Casado, M.; Fu, G.; Meng, F. A Model-Based Engineering Methodology and Architecture for Resilience in Systems-of-Systems: A Case of Water Supply Resilience to Flooding. Water 2019, 11, 496. [CrossRef] · DOI
  11. David, R.; Pavel, S.; Simona, S. Resilience of Critical Infrastructure Elements and Its Main Factors. Systems 2018, 6, 21.
  12. Rehak, D.; Senovsky, P.; Hromada, M.; Lovecek, T. Complex approach to assessing resilience of critical infrastructure elements. Int. J. Crit. Infrastruct. Prot. 2019, 25, 125-138. [CrossRef] · DOI
  13. Krueger, E.H.; Borchardt, D.; Jawitz, J.W.; Klammler, H.; Yang, S.; Zischg, J.; Rao, P.S.C. Resilience Dynamics of Urban Water Supply Security and Potential of Tipping Points. Earth's Future 2019, 7, 1167-1191. [CrossRef] · DOI
  14. Zhao, S.; Liu, X.; Zhuo, Y.; Fan, B. Stuay on Recovery Strategies of Water Supply System under Emergent Water Pollution Events. Ind. Eng. Manag. 2015, 20, 135-141.
  15. Li, Q.; Chen, Z.; Zhao, X. Comprehensive Seismic resilience of Urban Lifeline System: Double-dimensional approach. China Civ. Eng. J. 2017, 50, 65-72.
  16. Liu, J.; Huang, W. Research on Resilience Capacity Assessment of Urban Water Supply System in Cities under Salt Tide Situation. Mod. City Res. 2017, 9, 32-40.
  17. Liu, J.; Wang, W.; Shao, Z. Research on resilience capacity assessment and promotion strategy of water supply system in Qingdao under flood and drought disaster. J. Inst. Disaster Prev. 2020, 22, 9-19.
  18. Bruneau, M.; Chang, S.E.; Eguchi, R.T.; Lee, G.C.; O'Rourke, T.D.; Reinhorn, A.M.; Shinozuka, M.; Tierney, K.; Wallace, W.A.; Von Winterfeldt, D. A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities. Earthq. Spectra 2003, 19, 733-752. [CrossRef] · DOI
  19. Lawson, E.; Farmani, R.; Woodley, E.; Butler, D. A Resilient and Sustainable Water Sector: Barriers to the Operationalisation of Resilience. Sustainability 2020, 12, 1797. [CrossRef] · DOI
  20. Walker, G. Come back socio technical systems theory, all is forgiven. Civ. Eng. Environ. Syst. 2015, 32, 170-179. [CrossRef] · DOI
  21. Quitana, G.; Molinos-Senante, M.; Chamorro, A. Resilience of critical infrastructure to natural hazards: A review focused on drinking water systems. Int. J. Disaster Risk Reduct. 2020, 48, 101575. [CrossRef] · DOI
  22. Xu, W.; Zhong, Z.; Proverbs, D.; Xiong, S.; Zhang, Y. Enhancing the Resilience of the Management of Water Resources in the Agricultural Supply Chain. Water 2021, 13, 1619. [CrossRef] · DOI
  23. Behboudian, M.; Kerachian, R.; Pourmoghim, P. Evaluating the long-term resilience of water resources systems: Application of a generalized grade-based combination approach. Sci. Total. Environ. 2021, 786, 147447. [CrossRef] · DOI
  24. Tantri, F.; Amir, S. Modeling a Simulation for Sociotechnical Resilience. Complexity 2019, 2019, 7950629. [CrossRef] · DOI
  25. Vazquez, K.; Muneepeerakul, R. Modeling Resilience and Sustainability of Water-Subsidized Systems: An Example from Northwest Costa Rica. Sustainability 2021, 13, 2013. [CrossRef] · DOI
  26. Brown, R.R.; Keath, N.; Wong, T.H.F. Urban water management in cities: Historical, current and future regimes. Water Sci. Technol. 2009, 59, 847-855. [CrossRef] [PubMed] · DOI
  27. Daniell, K.A.; Rinaudo, J.D.; Chan, N.W.W.; Nauges, C.; Grafton, Q. Understanding and managing urban water in transition. In Understanding and Managing Urban Water in Transition; Springer: Dordrecht, The Netherlands, 2015; pp. 1-30.
  28. Hoekstra, A.Y.; Buurman, J.; Van Ginkel, K.C. Urban water security: A review. Environ. Res. Lett. 2018, 13, 053002. [CrossRef] · DOI
  29. Krueger, E.; Rao, P.S.C.; Borchardt, D. Quantifying urban water supply security under global change. Glob. Environ. Chang. 2019, 56, 66-74. [CrossRef] · DOI
  30. Appelbaum, S.H. Socio-technical systems theory: An intervention strategy for organizational development. Manag. Decis. 1997, 35, 452-463. [CrossRef] · DOI · Paper page
  31. Langhans, S.D.; Reichert, P.; Schuwirth, N. The method matters: A guide for indicator aggregation in ecological assessments. Ecol. Indic. 2014, 45, 494-507. [CrossRef] · DOI
  32. Kong, J.; Simonovic, S.P.; Zhang, C. Resilience Assessment of Interdependent Infrastructure Systems: A Case Study Based on Different Response Strategies. Sustainability 2019, 11, 6552. [CrossRef] · DOI
  33. Klammler, H.; Rao, P.S.; Hatfield, K. Modeling dynamic resilience in coupled technological-social systems subjected to stochastic disturbance regimes. Environ. Syst. Decis. 2018, 38, 140-159. [CrossRef] · DOI
  34. Lindskog, F.; McNeil, A.J. Common Poisson shock models: Applications to insurance and credit risk modelling. ASTIN Bull. J. IAA 2003, 33, 209-238. [CrossRef] · DOI
  35. Bettencourt, L.M.; Lobo, J.; Helbing, D.; Kühnert, C.; West, G.B. Growth, innovation, scaling, and the pace of life in cities. Proc. Natl. Acad. Sci. USA 2007, 104, 7301-7306. [CrossRef] · DOI · Paper page
  36. Scheffer, M.; Carpenter, S.; Foley, J.A.; Folke, C.; Walker, B. Catastrophic shifts in ecosystems. Nature 2001, 413, 591-596. [CrossRef] · DOI · Paper page
  37. Shin, S.; Lee, S.; Judi, D.R.; Parvania, M.; Goharian, E.; McPherson, T.; Burian, S.J. A Systematic Review of Quantitative Resilience Measures for Water Infrastructure Systems. Water 2018, 10, 164. [CrossRef] · DOI
  38. Garrick, D.; Hall, J.W. Water Security and Society: Risks, Metrics, and Pathways. Annu. Rev. Environ. Resour. 2014, 39, 611-639. [CrossRef] · DOI
  39. Rasoulkhani, K.; Mostafavi, A. Resilience as an emergent property of human-infrastructure dynamics: A multi-agent simulation model for characterizing regime shifts and tipping point behaviors in infrastructure systems. PLoS ONE 2018, 13, e0207674. [CrossRef] [PubMed] · DOI
  40. Qiu, W.; Chen, Y.; Wan, C. Emergency safeguard measures and thinking of water Group Company Limited during COVID-19 epidemic (Water supply). Water Wastewater Eng. 2020, 56, 44-47.
  41. Wen, L.J.; Jiang, C.B.; Ma, Z.J.; Di, Y.; Cao, Y.Z.; Liu, G.Y. The General Situation of Marine Disaster in Shandong Province during 2010-2014 and Defense Strategies. Ocean. Dev. Manag. 2016, 33, 98-104.
  42. Xu, Y. Development Strategy of China's coastal cities for addressing Climate Change. Clim. Chang. Res. 2020, 16, 88-98.
  43. Cai, R.; Tan, H.; Guo, H. Response and Compound Risk of the Coastal China areas to Global Change. J. Appl. Oceanogr. 2019, 38, 514-527.
  44. Strogatz, S.H. Nonlinear Dynamics and Chaos with Student Solutions Manual: With Applications to Physics, Biology, Chemistry, and Engineering; CRC Press: Boca Raton, FL, USA, 2018.
  45. Laio, F.; Porporato, A.; Ridolfi, L.I.R.I.; Rodriguez-Iturbe, I. Mean first passage times of processes driven by white shot noise. Phys. Rev. E 2001, 63, 036105. [CrossRef] · DOI
  46. Tamea, S.; Laio, F.; Ridolfi, L.; Rodriguez-Iturbe, I. Crossing properties for geophysical systems forced by Poisson noise. Geophys. Res. Lett. 2011, 38, L18404. [CrossRef] · DOI
  47. Savenije, H.H.G. Water scarcity indicators; the deception of the numbers. Phys. Chem. Earth Part. B Hydrol. Ocean. Atmos. 2000, 25, 199-204. [CrossRef] · DOI
  48. Akhmouch, A.; Correia, F.N. The 12 OECD principles on water governance-When science meets policy. Util. Policy 2016, 43, 14-20. [CrossRef] · DOI
  49. Marlow, D.R.; Moglia, M.; Cook, S.; Beale, D.J. Towards sustainable urban water management: A critical reassessment. Water Res. 2013, 47, 7150-7161. [CrossRef] [PubMed] · DOI
  50. Padowski, J.C.; Carrera, L.; Jawitz, J.W. Overcoming urban water insecurity with infrastructure and institutions. Water Resour. Manag. 2016, 30, 4913-4926. [CrossRef] · DOI
  51. Mair, M.; Zischg, J.; Rauch, W.; Sitzenfrei, R. Where to find water pipes and sewers?-On the correlation of infrastructure networks in the urban environment. Water 2017, 9, 146. [CrossRef] · DOI
  52. Flörke, M.; Schneider, C.; McDonald, R.I. Water competition between cities and agriculture driven by climate change and urban growth. Nat. Sustain. 2018, 1, 51-58. [CrossRef] · DOI
  53. Christodoulou, S.E.; Fragiadakis, M. Vulnerability assessment of water distribution networks considering performance data. J. Infrastruct. Syst. 2015, 21, 04014040. [CrossRef] · DOI
  54. Chen, P.; Scown, C.; Matthews, H.S.; Garrett, J.H., Jr.; Hendrickson, C. Managing critical infrastructure interdependence through economic input-output methods. J. Infrastruct. Syst. 2009, 15, 200-210. [CrossRef] · DOI
  55. Rasoulkhani, K.; Mostafavi, A.; Reyes, M.P.; Batouli, M. Resilience planning in hazards-humans-infrastructure nexus: A multi-agent simulation for exploratory assessment of coastal water supply infrastructure adaptation to sea-level rise. Environ. Model. Softw. 2020, 125, 104636. [CrossRef] · DOI
  56. Liu, J.; Yang, H.; Gosling, S.N.; Kummu, M.; Flörke, M.; Pfister, S.; Hanasaki, N.; Wada, Y.; Zhang, X.; Zheng, C.; et al. Water scarcity assessments in the past, present and future. Earth's Future 2017, 5, 545-549. [CrossRef] · DOI
  57. Leigh, N.G.; Lee, H. Sustainable and Resilient Urban Water Systems: The Role of Decentralization and Planning. Sustainability 2019, 11, 918. [CrossRef] · DOI
  58. Diao, K.; Sweetapple, C.; Farmani, R.; Fu, G.; Ward, S.; Butler, D. Global resilience analysis of water distribution systems. Water Res. 2016, 106, 383-393. [CrossRef] [PubMed] · DOI
  59. Carpenter, S.R.; Brock, W.A. Adaptive Capacity and Traps. Ecol. Soc. 2008, 13, 40. [CrossRef] · DOI
  60. Brown, T.C.; Mahat, V.; Ramirez, J.A. Adaptation to future water shortages in the United States caused by population growth and climate change. Earth's Future 2019, 7, 219-234. [CrossRef] · DOI
  61. Mortula, M.M.; Ahmed, M.A.; Sadri, A.M.; Ali, T.; Ahmad, I.; Idris, A. Improving Resiliency of Water Supply System in Arid Regions: Integrating Centrality and Hydraulic Vulnerability. J. Manag. Eng. 2020, 36, 0502001. [CrossRef] · DOI

Cited by

Sorted by citations

Authors
Liu, J., Shao, Z., & Wang, W.
Affiliations
  • Qingdao University of Technology (CN)
  • Tongji University (CN)
Corresponding author
  • Shao, Zhiguo
  • Wang, Wei
ORCID
Venue
Water
Publisher
MDPI AG
Published
2021-10-19
Volume
13
Issue
20
Pages
2939
ISSN
2073-4441 (ISSN-L)
DOI
10.3390/w13202939
OpenAlex
W3207896287
Cited by
19
References
0
Citations by year
2026: 3 · 2025: 9 · 2024: 2 · 2023: 3 · 2022: 2
FWCI
0.88
Type
journal article
Language
en
Open access
Licence
Locations
  • Water (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (71874123;71704162)
  • Humanities and Social Science Research Youth Fund Project of Ministry of Education (17YJC630184)
  • Qingdao social science planning research project (QDSKL1901192)
Topics
  • Physical Sciences › Engineering › Civil and Structural Engineering › Infrastructure Resilience and Vulnerability Analysis
  • Physical Sciences › Environmental Science › Water Science and Technology › Water Resources and Sustainability
  • Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
Keywords
urban water supply systems, resilience assessment, critical points, robustness, recoverability, adaptability, socio-technical model, climate change adaptation, Qingdao

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