一种空间最佳分配方法,考虑多属性决策和多个BMPs随机组合在子流域
Xueting Wang1, Shuai Liu1, Bingnan Ruan1
1Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi, 712100, China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Journal of environmental management
|December 1, 2023
概括
本研究提出了一个新的框架,通过将土壤和水评估工具 (SWAT) 与多目标决策相结合,优化流域污染控制. 这种方法有效地平衡了最佳管理实践 (BMP) 的成本,减少了总和总.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 生态工程生态工程生态工程
背景情况:
- 非点源污染是流域管理的一个重大挑战.
- 有效分配最佳管理实践 (BMP) 需要考虑客观的职能权重和限制性条件.
- 现有的方法往往缺乏空间优化和多属性决策,用于组合的BMP.
研究的目的:
- 开发一个新的框架,在水域中空间最优地分配多个BMP.
- 整合多属性决策,以实现成本效益高的污染控制.
- 在BMP成本的同时,考虑总 (TN) 和总 (TP) 的联合减少率.
主要方法:
- 使用土壤和水评估工具 (SWAT) 和非主导排序基因算法II (NSGA-II) 进行多目标优化.
- 综合重法 (EWM) 和以类似于理想解决方案 (TOPSIS) 为权重TN和TP减轻的订单偏好的技术.
- 在京河流域 (JRB) 评估了四个BMP类别 (耕作,营养管理,植物过条,景观管理).
主要成果:
- 实现的平均减少率为9.77% (耕作),10.53% (营养管理),16.40% (过条) 和14.27% (景观管理).
- 开发的BMP分配方案分为低成本,中成本和高成本场景,主要BMP和子流域覆盖范围各不相同.
- 在整个财务场景中,在实施成本和减少污染效率之间证明了权衡.
结论:
- 该创新框架促进了对流域污染控制措施的成本有效实施.
- 该方法提供了一种有利的方法,用于根据当地属性和成本效益分析选择合适的保护实践.
- 该研究为不同地区的流域管理和非点源污染减轻提供了有价值的决策支持工具.
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