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Multi-objective optimization for water allocation of the Yellow River basin based on fluid mechanics, emergy theory, and dynamic differential game

机译:基于流体力学,闻名理论和动态差异游戏的黄河流域水分配多目标优化

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摘要

The ecological restoration of the Yellow River Basin (YRB) requires urgent scientific and rational quantification of comprehensive value of water resources to optimally allocate water resources. Considering the sustainability of ecological environment, the quantifications of sediment transport value and negative sewage value were introduced into the calculation of comprehensive value of water resources in this study. First, Reynolds timeaveraged turbulence equations, force analysis and fluid mechanics were adopted in succession to precisely calculate the work on the bedload sediment and the suspended load sediment. Next, the quantification of the value of sediment transport in each river interval was presented based on the emergy theory. Furthermore, to coordinate and optimize the ecological environmental, economic, and social values, a dynamic differential gamebased multi-objective optimal water allocation model of the basin was proposed. On this basis, the Lagrangian multiplier method and the Hamiltonian function were exploited to obtain the optimal trading quantity of water in each province and bargain price. The provinces in the YRB were selected as a case study to verify the feasibility and practicality of the proposed model. Results indicate that (1) compared with previous optimal water allocation schemes, the economic value, social value, ecological environmental value, sediment transport value and negative sewage value of the YRB in this study in 2019 are yen 2.57X1011, yen 3.27X1011, yen 2.74X1011, yen 6.27X1010, and yen 3.30X1010, respectively, which is more balanced and sustainable in each field; (2) this model significantly increases the ecological environmental value (EEV) of YRB in 2019 from yen 2.21X1011 to yen 2.74X1011-which takes into consideration the sediment transport value (STV) and negative sewage value, and thus the method in this study pays more attention to water ecological sustainability; (3) the model significantly improved the comprehensive value of water resources in the YRB to yen 785.2169X108 if T = 1 month and yen 4471.0611X108 if T = 0.5 year in 2019. Therefore, instead of pursuing economic value unilaterally, this study can coordinate and optimize the ecological environmental, economic, and social values (SV) to improve the strategic trade-offs in efforts towards basin water sustainability.
机译:黄河流域(YRB)的生态恢复需要迫切科学合理的水资源综合量化,以最佳地分配水资源。考虑到生态环境的可持续性,沉积物运输价值和负污水价值的量化被引入了本研究水资源综合价值的计算。首先,继承中采用雷诺污染湍流方程,力分析和流体力学,精确地计算床单沉积物的工作和悬浮载荷沉积物。接下来,基于闻名理论,提出了每个河流间隔中沉积物传输值的量化。此外,为了协调和优化生态环境,经济和社会价值,提出了一种动态微分的微差异的盆地多目标最佳水分配模型。在此基础上,利用拉格朗日乘法器方法和哈密顿函数,以获得每个省和议价价格的最佳交易量。 YRB中的省份被选为案例研究,以验证所提出的模型的可行性和实用性。结果表明,(1)与以前的最优水分配方案相比,2019年这项研究中YRB的经济价值,社会价值,生态环境价值,沉积物运输价值和负污水价值是日元2.57x1011,日元3.27x1011,日元2.74x1011,日元6.27x1010,以及日元3.30x1010,分别在每个领域更平衡和可持续; (2)该模型从日​​元2.21X1011到日元2.74X1011的YRB的生态环境值(EEV)显着增加 - 这考虑了沉积物运输价值(STV)和负污水价值,从而考虑了本研究的方法更加关注水生态可持续性; (3)该模型显着提高了YRB中的水资源综合价值785.2169X108,如果T = 1个月和日元4471.0611x108,如果T = 0.5年,则为2019年。因此,这项研究可以协调,而不是追求经济价值。并优化生态环境,经济和社会价值(SV),以改善盆地水可持续性努力的战略权衡。

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