探索水利项目的多目标优化运营模式,以促进协同效应和改善大河流系统的水质
Di Zhu1, Yanlai Zhou2, Shenglian Guo2
1State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, 430072, China; Bureau of Hydrology, Changjiang Water Resources Commission, Wuhan, 430010, China.
Journal of environmental management
|July 28, 2023
概括
优化水资源项目运营使藻类繁殖指标减少了36.7%,水库容量提高了33.1%. 这种方法增强了河流生态系统和水电发电,同时可持续地管理水资源.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 生态系统恢复 恢复生态系统
背景情况:
- 中国的河流环境因营养丰富和高水需求而日益恶化,导致频繁的藻类繁殖.
- 藻类繁殖对河流生态系统构成重大威胁,使其控制成为一个关键的环境挑战.
- 复杂的,多因素的相互作用使管理河流藻类繁殖的努力变得复杂.
研究的目的:
- 优化水务项目的联合运营,以协同改善水质,水量和水电发电.
- 开发一种方法来防止藻类繁殖,通过根据水文和水质条件调节水分释放.
- 为大型河流系统的可持续水资源管理提供科学指导.
主要方法:
- 使用非主导排序遗传算法开发了一种多目标优化方法.
- 该算法同时将藻类繁殖指标 (水质),水库容量使用 (水量) 降至最低,并最大化了水电发电.
- 该方法应用于中国汉江河13个水利项目,分析了2017-2021年的数据.
主要成果:
- 总和度减少了36.7%,这表明水质有所改善.
- 在剩余的水库容量中获得了33.1%的改善,提高了供水可靠性.
- 与标准运行政策相比,水电产量增加了41.0%.
- 最佳的水释放方案将下游的最低流速提高了8.6%-9.4%,以控制藻类繁殖.
结论:
- 拟议的方法有效地刺激了水质,数量和水电目标之间的协同效益.
- 优化水项目运营为大型河流系统的环境改善提供了一种新的方法.
- 这项研究为环保主义者和决策者提供了关于可持续水资源管理的关键科学指导.
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