Skip to main content

Advertisement

Log in

Basin-Wide Initial Water Rights Allocation Model Considering Both the Quantity and Quality of Water

  • Published:
Environmental Modeling & Assessment Aims and scope Submit manuscript

Abstract

Allocating initial water rights is a prerequisite for implementing water rights trading and enhancing the water use efficiency. This paper investigates the establishment of a model for allocating basin-wide initial water rights considering both the quantity and quality of water. First, a new concept, two-dimensional water rights, is presented and described in the paper. Second, the initial water rights allocation model, which maximizes the harmonious degree of an entire water system, is developed based on five principles: (1) the basic water demands, (2) fairness, (3) respect for the status quo, (4) economic efficiency, and (5) the unification of water withdrawals and sewage discharge. Third, the proposed model is applied to the Beijiang River Basin in southern China, and the model validity and reasonability of the presented two-dimensional water rights allocation scheme are verified via comparisons with other allocation patterns. Finally, several conclusions are presented.

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

Similar content being viewed by others

References

  1. Brown, C. M., Lund, J. R., Cai, X., Reed, P. M., Zagona, E. A., Ostfeld, A., et al. (2015). The future of water resources systems analysis: toward a scientific framework for sustainable water management. Water Resources Research, 51, 6110–6124.

    Google Scholar 

  2. Archibald, T. W., & Marshall, S. E. (2018). Review of mathematical programming applications in water resource management under uncertainty. Environmental Modeling and Assessment, 23(6), 753–777.

    Google Scholar 

  3. Montanari, A., Bahr, J., Blöschl, G., Cai, X., Mackay, D. S., Michalak, A. M., et al. (2015). Fifty years of water resources research: legacy and perspectives for the science of hydrology. Water Resources Research, 51, 6797–6803.

    Google Scholar 

  4. Poff, N. L., Brown, C. M., Grantham, T. E., Matthews, J. H., Palmer, M. A., Spence, C. M., et al. (2016). Sustainable water management under future uncertainty with eco-engineering decision scaling. Nature Climate Change, 6(1), 25–34.

    Google Scholar 

  5. Li, Y. P., Huang, G. H., & Nie, S. L. (2009). Water resources management and planning under uncertainty: an inexact multistage joint-probabilistic programming method. Water Resources Management, 23(12), 2515–2538.

    Google Scholar 

  6. Lund, J. R. (2015). Integrating social and physical sciences in water management. Water Resources Research, 51, 1–14.

    CAS  Google Scholar 

  7. Hu, S., Wang, Z., Wang, Y., & Zhang, L. (2010). Total control-based unified allocation model for allowable basin water withdrawal and sewage discharge. SCIENCE CHINA Technological Sciences, 53(5), 1387–1397.

    Google Scholar 

  8. Wang, Z., Zheng, H., & Wang, X. (2009). A harmonious water rights allocation model for Shiyang River Basin, Gansu Province, China. International Journal of Water Resources Development, 25(2), 355–371.

    Google Scholar 

  9. Zheng, H., Wang, Z., Calow, R., & Wei, Y. (2012). Water rights allocation, management and trading in an irrigation district - a case study of northwestern China. In K. Manish (Ed.), Problems, Perspectives and Challenges of Agricultural Water Management (1st ed., pp. 65–88). InTech.

  10. Liu, C., & Zheng, H. (2002). South-to-north water transfer schemes for China. International Journal of Water Resources Development, 18(3), 453–471.

    Google Scholar 

  11. Burness, H. S., & Quirk, J. P. (1979). Appropriative water rights and the efficient allocation of resources. American Economic Review, 69(1), 25–37.

    Google Scholar 

  12. Grantham, T. E., & Viers, J. H. (2014). 100 years of California’s water rights system: patterns, trends and uncertainty. Environmental Research Letters, 9(8), 084012.

  13. Wong, B. D. C., & Eheart, J. W. (1983). Market simulations for irrigation water rights: a hypothetical case study. Water Resources Research, 19(5), 1127–1138.

    Google Scholar 

  14. Hendry, S. (2014). Water rights and allocation. In Frameworks for Water Law Reform (International Hydrology Series, pp. 35–56). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511998065.003

  15. Erkun Gao. (2007). China’s water right system development. Beijing (in Chinese): China Water Power Press.

  16. Commission, P. (2003). Water rights arrangements in Australia and overseas. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.496882.

  17. Bird, J., Arriens, W. L., & Custodio, D. Von. (2009). Water rights and water allocation issues and challenges for Asia 17. Asian Development Bank, 1–76.

  18. Shen, D., & Speed, R. (2009). Water resources allocation in the People’s Republic of China. International Journal of Water Resources Development, 25(2), 209–225.

    Google Scholar 

  19. Wang, L., Fang, L., & Hipel, K. W. (2007). Mathematical programming approaches for modeling water rights allocation. Journal of Water Resources Planning and Management, 133(2), 50–59.

    Google Scholar 

  20. Hazelett, E. (2013). The evolution of water law toward the efficient allocation of water rights: an analysis of England and California. Wesleyan University.

  21. Dellapenna, J. W., & Gupta, J. (2009). The evolution of global water law. In J. W. Dellapenna & J. Gupta (Eds.), The Evolution of the Law and Politics of Water (pp. 3–20). Springer Science + Business Media B.V.

  22. Wu, K. Y., & Wu, D. N. (2014). Evolution of the relationship between economic development and water pollution in Shanghai. In Resources and Sustainable Development III (Vol. 962, pp. 2031–2039). Trans Tech Publications.

  23. Karamouz, M., Mojahedi, S. A., & Ahmadi, A. (2010). Interbasin water transfer: economic water quality-based model. Journal of Irrigation and Drainage Engineering, 136(2), 90–98.

    Google Scholar 

  24. Shahpouri, A., Biabi, H., & Abolhassani, L. (2016). Economic development and environmental quality: the environmental Kuznets curve for water pollution. Journal of Applied Sciences and Environmental Management, 20(1), 161–169.

    Google Scholar 

  25. Zuo, Q., Jin, R., Ma, J., & Cui, G. (2014). China pursues a strict water resources management system. Environmental Earth Sciences, 72(6), 2219–2222.

  26. Zuo, Q., Liu, H., Ma, J., & Jin, R. (2016). China calls for human-water harmony. Water Policy, 18(2), 255–261.

    Google Scholar 

  27. Yang, Y. E., Zhao, J., Cai, X., & Asce, M. (2011). Decentralized optimization method for water allocation management in the Yellow River basin. Journal of Water Resources Planning and Management, 138(8), 313–325.

    Google Scholar 

  28. Kumphon, B. (2013). Genetic algorithms for multi-objective optimization: application to a multi-reservoir system in the Chi River Basin, Thailand. Water Resources Management, 27(12), 4369–4378.

    Google Scholar 

  29. Tic, E. I., Popa, B., & Popa, R. (2017). Annual performance estimation of a multireservoir system including a pumped storage plant for the mean hydrological year. Journal of Energy Engineering, 143(6), 1–10.

    Google Scholar 

  30. Oliveira, R., & Loucks, D. P. (1997). Operating rules for multireservoir systems. Water Resources Research, 33(4), 839–852.

    Google Scholar 

  31. Van Der Zaag, P., Seyam, I. M., & Savenije, H. H. G. (2002). Towards measurable criteria for the equitable sharing of international water resources. Water Policy, 4(1), 19–32.

    Google Scholar 

  32. Jin, J., Cheng, J., & Wei, Y. (2007). Minimum relative information entropy method for determining weights of region water resources allocation. Journal of Hydroelectric Engineering, 26(1), 28–32.

    Google Scholar 

  33. Espinoza, F. P., Minsker, B. S., & Goldberg, D. E. (2005). Adaptive hybrid genetic algorithm for groundwater remediation design. Journal of Water Resources Planning and Management, 131(1), 14–24.

    Google Scholar 

  34. Millia, J., Delhi, N., Bonin, O., & Rousseaux, F. (2000). Multireservoir systems optimization using genetic algorithms: case study. Journal of Computing in Civil Engineering, 14(4), 255–263.

    Google Scholar 

  35. Hinçal, O., Altan-Sakarya, A. B., & Ger, A. M. (2011). Optimization of multireservoir systems by genetic algorithm. Water Resources Management, 25(5), 1465–1487.

    Google Scholar 

  36. Zargar, M., Samani, H. M. V., & Haghighi, A. (2016). Optimization of gated spillways operation for flood risk management in multi-reservoir systems. Natural Hazards, 82(1), 299–320.

  37. The Pearl River Water Resources Commission of the Ministry of Water Resources of China. (2013). The general water resources planning of Beijiang river basin. Guangzhou(in Chinese).

  38. Wang, Z., Zhang, L., Wang, Y., Jin, J., & Cheng, L. (2012). Preliminary theoretical framework of water resources operation based on initial two-dimensional water rights in a basin. Advances in Water Science, 23(4), 590–597 (in Chinese).

Download references

Acknowledgments

We would like to thank the anonymous reviewers for their helpful comments.

Funding

This research was supported financially by the National Key Research and Development Program of China (2018YFC0408005), the National Natural Science Foundation of China (51579064), and the Provincial Water Conservancy Research Program (SDSLKY201809).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Zongzhi Wang or Lingling Zhang.

Ethics declarations

Conflict of Interest

The authors declare that they have no conflicts of interest.

Human and animal rights and informed consent

This research does not involve human participants or animals.

Additional information

Publisher’s Note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z., Zhang, L., Cheng, L. et al. Basin-Wide Initial Water Rights Allocation Model Considering Both the Quantity and Quality of Water. Environ Model Assess 25, 581–589 (2020). https://doi.org/10.1007/s10666-020-09709-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10666-020-09709-7

Keywords

Navigation