Abstract
In this research, a large-scale inexact optimization method was developed for the conjunctive use management of a watershed-lake water distribution system. The modeling framework has the advantages in taking into account the water balance of multi-reservoirs, satisfying the municipal industrial and agricultural water demands in the multi-period context, reflecting the relationship among multi-reservoirs, multiple water related projects, and maintaining the operational rules of certain lake levels. Moreover, such a method can also handle the uncertainty expressed as fuzzy membership functions through integrating the fuzzy credibility chance-constrained programming. The developed method was applied to the conjunctive use management of water resources in the lake Dianchi watershed, China. Cost-effective water allocation schemes for the groundwater project and the water transfer project, and optimal operational rules for the lake and multiple reservoirs were successfully obtained. Also, the annual water balance of the watershed-lake system and the system cost of the conjunctive water use were investigated and analyzed under multiple credibility levels of meeting the water demands for municipal, industrial and agricultural users.
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Acknowledgments
This paper was supported by the Major Science and Technology Program for Water Pollution Control and Treatment of China (2013ZX07102-006), and the National Science Foundation for Innovative Research Group (No. 51121003 and 51522901). Also, the authors are grateful to the editors and the anonymous reviewers for their insightful comments and suggestions.
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Dai, C., Cai, Y.P., Lu, W.T. et al. Conjunctive Water Use Optimization for Watershed-Lake Water Distribution System under Uncertainty: a Case Study. Water Resour Manage 30, 4429–4449 (2016). https://doi.org/10.1007/s11269-016-1430-7
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DOI: https://doi.org/10.1007/s11269-016-1430-7