Skip to main content
Log in

Resolving Transboundary Water Conflicts: Dynamic Evolutionary Analysis Using an Improved GMCR Model

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Accurately simulating the dynamic evolution of the behaviors of different decision-makers (DMs) is essential for identifying solutions to transboundary water conflicts. The purpose of this study is to present a dynamic evolutionary analysis model for simulating the behavior of different water users and solving the problem of transboundary water conflicts. To accomplish this goal, a revenue function, which can objectively evaluate the relative preferences of different DMs in water conflicts, was constructed to improve the graph model for conflict resolution (GMCR) model. A demonstration area in the Yangtze River Delta on ecologically friendly development (DAYRD) in China is applied to demonstrate the applicability of the improved method. The results show that the improved GMCR model based on the revenue function can accurately simulate the dynamic evolution of transboundary water conflicts and avoid the influence of subjective factors of researchers or experts in the traditional method. Additionally, the results indicated that water conflicts in the DAYRD can be transformed from the status quo (conflict) to the target state (cooperation) by effectively controlling the intensity of third-party intervention. These findings provide useful insights for the resolution of transboundary water conflicts and enhance our understanding of the role of third parties in transforming conflict into cooperation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data Availability

The data is available upon request.

References

Download references

Acknowledgements

This study was supported by the Major Science and Technology Program for Water Pollution Control and Treatment of China [grant number 2017ZX07207003-01]. We also thank the Taihu Basin Authority for providing relevant information and data.

Funding

This research was supported by the Major Science and Technology Program for Water Pollution Control and Treatment [grant number 2017ZX07207003-01].

Author information

Authors and Affiliations

Authors

Contributions

M.J. Yang: Conceptualization, Formal analysis, Investigation, Methodology, Writing—original draft. K. Yang: Conceptualization, Funding acquisition, Writing—reviewing and editing. Y. Che: Conceptualization, Writing—reviewing and editing. S.Q. Lu: Validation, Resources. F.Y. Sun: Validation, Writing—reviewing and editing. Y. Chen: Formal analysis, Investigation. M.T. Li: Formal analysis, Investigation.

Corresponding authors

Correspondence to Kai Yang or Yue Che.

Ethics declarations

Consent to Publish

All authors agree for publication of this manuscript in WARM.

Competing Interests

None.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 46 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, M., Yang, K., Che, Y. et al. Resolving Transboundary Water Conflicts: Dynamic Evolutionary Analysis Using an Improved GMCR Model. Water Resour Manage 35, 3321–3338 (2021). https://doi.org/10.1007/s11269-021-02895-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-021-02895-3

Keywords

Navigation