Optimal reservoir operation using multi-objective evolutionary algorithms for potential estuarine eutrophication control
Optimal reservoir operation using multi-objective evolutionary algorithms for potential estuarine eutrophication control
复制标题
使用多目标进化算法优化水库运行以控制潜在的河口富营养化
DOI：
10.1016/j.jenvman.2018.06.044
复制
发表时间：
2018
影响因子：
8.7
通讯作者：
Wang Xun
中科院分区：
文献类型：
--
作者：
Yu Yang;Wang Peifang;Wang Chao;Wang Xun
河口水中的营养负荷增加和养分比改变增强了富营养化和有害藻类开花的发生。这些后果大多数是由产生毒素的非硅质藻类的新扩散引起的。在这项研究中，我们提出了一个基于10天的时间尺度的多目标储层操作模型，以减少潜在的非硅质藻类爆发。该模型将水力发电和社会经济的水需求纳入储层中，将ICEP（河口富营养化潜力的指标）最小化为生态目标。应用三种现代多目标进化算法（MOEAS）来解决建议的储层操作模型。选择了三个峡谷水库及其对长江河口的操作效果作为案例研究。这三种算法的性能通过现代MOEAS能力的诊断评估框架进行了评估。结果表明，基于差分进化算子（MOEA/D-DE）分解的多目标进化算法为操作模型实现了最佳性能。它表明，水文管理的单一实施不能有效控制潜在的河口富营养化，而联合结合了TP内的浓度控制和储层最佳操作是一种更现实，至关重要的，有效的策略，可控制非硅质藻类增殖的富营养化潜力。在以控制的TP浓度和河口水的最佳操作下，河口饮用水源的生态饱腹率增加到77.78％，88.89％和83.33％的潮湿，正常和干燥年份，实际操作中的相应价值仅为72.22％，58.33％和55.556％，相应地分为72.22％。结果表明，这些行动不会对经济和社会利益产生负面影响。因此，拟议的综合管理方法可以为水管理者提供指导，以实现对河口水域的稳定营养控制。
Increased nutrient loads and changed nutrient ratios in estuarine waters have enhanced the occurrence of eutrophication and harmful algae blooms. Most of these consequences are caused by the new proliferation of toxin-producing non-siliceous algae. In this study, we propose a multi-objective reservoir operation model based on 10-day time scale for estuarine eutrophication control to reduce the potential non-siliceous algae outbreak. This model takes the hydropower generation and social economy water requirement in reservoir into consideration, minimizing the ICEP (indicator of estuarine eutrophication potential) as an ecological objective. Three modern multi-objective evolutionary algorithms (MOEAs) are applied to solve the proposed reservoir operation model. The Three Gorges Reservoir and its operation effects on the Yangtze Estuary were chosen as a case study. The performances of these three algorithms were evaluated through a diagnostic assessment framework of modern MOEAs' abilities. The results showed that the multi-objective evolutionary algorithm based on decomposition with differential evolution operator (MOEA/D-DE) achieved the best performance for the operation model. It indicates that single implementation of hydrological management cannot make effective control of potential estuarine eutrophication, while combined in-estuary TP concentration control and reservoir optimal operation is a more realistic, crucial and effective strategy for controlling eutrophication potential of non-siliceous algae proliferation. Under optimized operation with controlled TP concentration and estuarine water withdrawal of 1470 m3/s, ecological satiety rate for estuarine drinking water source increased to 77.78%, 88.89% and 83.33% for wet, normal and dry years, the corresponding values in practical operation were only 72.22%, 58.33% and 55.56%, respectively. The results suggest that these operations will not negatively affect the economic and social interests. Therefore, the proposed integrated management approaches can provide guidance for water managers to reach a stable trophic control of estuarine waters.