Abstract
Based on the mine water produced by mining, to improve the ecological environment, the optimal allocation of mine water resources is studied. To reduce the uncertainty of the calculation results of ecological water demand, the wolf colony algorithm neural network model is used for long-term rainfall forecast. Combined with the forecast annual rainfall, the ecological water demand is classified and calculated. The results show that the ecological water demand based on rainfall forecast can reduce the allocation of water resources in wet years to ecological, so that the surplus water resources can be used in industries, irrigation, and other aspects that can create economic benefits, and improve the utilization efficiency of water resources. The ecological allocation model of mine water based on long-term rainfall forecast can reduce the uncertainty of regional water resources allocation based on rainfall forecast, which has good guiding significance and practical value for the optimal allocation of water resources in arid and water shortage areas.
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The authors are grateful to the support of the National Key Research and Development Plan (No: 2018YFC0406406).
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Data collection and analysis, Methodology development and implementation, draft manuscript preparation: GJL, CSL. Manuscript review and editing: WCW, JXY. Conceptualization: HW.
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Lei, Gj., Liu, Cs., Wang, W. et al. Study on Ecological Allocation of Mine Water in Mining Area Based on Long-term Rainfall Forecast. Water Resour Manage 36, 5545–5563 (2022). https://doi.org/10.1007/s11269-022-03311-0
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DOI: https://doi.org/10.1007/s11269-022-03311-0