Abstract
With the rapid development of the economy and society, water resources are becoming scarcer and may lead to conflicts. Regional demand linkages have an impact on water allocation. This paper proposes a dynamic programming model, introducing power coefficients to verify the stability of the decision-making scheme, and considering the relevance of regional demand in the process of water resources allocation. Through numerical analysis, it is proved that the model provides a practical water allocation plan for the river basin management department.
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Acknowledgements
We thank department editors, associate editors, and judges for their valuable comments on earlier versions of this article. They made many profound and constructive comments. We are grateful to Professor Zhong for his research on areas of relevance in the supply rate issue, which provide a lot of inspiration for our article. We also thank Professor Hu for his research on water resources management issues, and he has provided us with many valuable opinions. Without the guidance of these seniors, this article will not be as perfect as it is now.
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Appendix
The following symbols are used in this paper:
C.V = coefficient of variation of \( \beta _{i}(t) \)
\( \delta (t) \) = standard deviation of the power coefficient \( \beta _{i}(t) \)
\( \bar{\beta (t)} \) = mean of the power coefficient \( \beta _{i}(t) \)
\( \beta _{i}(t) \) = Coefficient of rights for region i at stage t
\( \omega _i(t) \) = external parameter indicating each subarea’s power based on its economic, social, and demographic status.
\( q_i(t) \) = the amount of water supplied to the i subarea in the t-stage basin
S(t) = the amount of water in the t-stage basin
\( S(t+1) \) = the amount of water in the \( t+1 \)-stage basin
\( S_0 \) = initial water volume at the beginning of each year
WS(t) = other sources of water in the t-stage basin
\( D_i(t) \) = water demand in zone i during t phase (random variable)
\( \alpha _i \) = water supply rate demand in zone i
\( \alpha _i(t) \) = water supply rate demand at time t in zone i
\( E^{min} \) = watershed ecological water demand
\( \beta _{i}^{loss} \) = loss rate in the process of water supply and transportation to the i district.
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Zhao, L., Chen, X. (2020). Water Allocation Plan to Meet Multi-regional Relevance Needs. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1001. Springer, Cham. https://doi.org/10.1007/978-3-030-21248-3_51
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