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Ecological network analysis for urban physical-virtual water cycle: A case study of Beijing

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  • Cai, Qingnan
  • Fang, Delin
  • Chen, Bin

Abstract

Growing water demands have increasingly challenged the urban water cycle resilience. In contrast to conventional evaluations, which concentrate primarily on the physical water cycle, this study presents a methodological framework considering both physical and virtual components and chooses Beijing as a case study. We constructed an urban physical-virtual water cycle (PVWC) network model to investigate water cycle resilience through structural and functional analysis based on ecological network analysis (ENA). The PVWC model covers multiple water suppliers (surface water, groundwater, transferred water, and reclaimed water), multiple water users (production water use, domestic water use, and ecological water use), water leakage, and wastewater treatment, as well as physical links and virtual flows driven by trade among these nodes. This study analyzed the system's robustness and the contributions of individual components to overall resilience from structural dimension, as well as revealed dominant sectors and interrelationships between components that sustain the system's resilience from functional dimension. The case study of Beijing in 2017 demonstrates that its network is moderately robust and synergistic. The external water transfer subsystem mainly has more remarkable mutualistic pair-wise relationships with secondary industry, tertiary industry, and household consumption. Moreover, water distribution subsystem is the dominant controller of PVWC, while the through flows of water leakage and wastewater treatment rely on the operation of whole system. The ecological environment, which has strong connections with reclaimed water and ecological water flows, played an important role in the entire system promoting more mutualistic relationships. We found that increasing the proportions of transferred water and reclaimed water supply and promoting mutualistic interactions between water users are critical to improving urban water cycle resilience.

Suggested Citation

  • Cai, Qingnan & Fang, Delin & Chen, Bin, 2025. "Ecological network analysis for urban physical-virtual water cycle: A case study of Beijing," Ecological Modelling, Elsevier, vol. 501(C).
    • Handle: RePEc:eee:ecomod:v:501:y:2025:i:c:s0304380024003600
    DOI: 10.1016/j.ecolmodel.2024.110972
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    References listed on IDEAS

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    1. Chunyang He & Zhifeng Liu & Jianguo Wu & Xinhao Pan & Zihang Fang & Jingwei Li & Brett A. Bryan, 2021. "Future global urban water scarcity and potential solutions," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Fath, Brian D., 2007. "Network mutualism: Positive community-level relations in ecosystems," Ecological Modelling, Elsevier, vol. 208(1), pages 56-67.
    3. Kharrazi, Ali & Rovenskaya, Elena & Fath, Brian D. & Yarime, Masaru & Kraines, Steven, 2013. "Quantifying the sustainability of economic resource networks: An ecological information-based approach," Ecological Economics, Elsevier, vol. 90(C), pages 177-186.
    4. Di Long & Wenting Yang & Bridget R. Scanlon & Jianshi Zhao & Dagen Liu & Peter Burek & Yun Pan & Liangzhi You & Yoshihide Wada, 2020. "South-to-North Water Diversion stabilizing Beijing’s groundwater levels," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    5. Schramski, J.R. & Gattie, D.K. & Patten, B.C. & Borrett, S.R. & Fath, B.D. & Whipple, S.J., 2007. "Indirect effects and distributed control in ecosystems: Distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 18-30.
    6. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    7. Martina Flörke & Christof Schneider & Robert I. McDonald, 2018. "Water competition between cities and agriculture driven by climate change and urban growth," Nature Sustainability, Nature, vol. 1(1), pages 51-58, January.
    8. Hongwei Huang & Shan Jiang & Xuerui Gao & Yong Zhao & Lixing Lin & Jichao Wang & Xinxueqi Han, 2022. "The Temporal Evolution of Physical Water Consumption and Virtual Water Flow in Beijing, China," Sustainability, MDPI, vol. 14(15), pages 1-15, August.
    9. Whipple, Stuart J. & Borrett, Stuart R. & Patten, Bernard C. & Gattie, David K. & Schramski, John R. & Bata, Seth A., 2007. "Indirect effects and distributed control in ecosystems: Comparative network environ analysis of a seven-compartment model of nitrogen flow in the Neuse River estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 1-17.
    10. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    11. Li, Y. & Chen, B. & Yang, Z.F., 2009. "Ecological network analysis for water use systems—A case study of the Yellow River Basin," Ecological Modelling, Elsevier, vol. 220(22), pages 3163-3173.
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    Cited by:

    1. Xi Yu & Hanshuo Yang & Yao Shi, 2025. "Theoretical Connotation and Measurement Indicator System of Ecological Green Development Level in China," Sustainability, MDPI, vol. 17(10), pages 1-26, May.

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