对试点和大规模建设湿地的元分析审查:设计参数,处理性能和影响因素
Vinh Son Lam1, Thi Cuc Phuong Tran2, Thi-Dieu-Hien Vo3
1HUTECH Institute of Applied Sciences, HUTECH University, 475A Dien Bien Phu Street, Binh Thanh District, Ho Chi Minh City, Vietnam.
The Science of the total environment
|April 3, 2024
概括
这项研究提供了使用先进的统计方法建造湿地 (CWs) 的新设计准则. 它推了垂直和水平流系统的最佳液压加载率和保留时间,以提高废水处理效率.
科学领域:
- 环境科学 环境科学
- 水处理工程水处理工程
- 生态工程生态工程生态工程
背景情况:
- 建筑湿地 (CWs) 是可持续的,基于自然的环境修复解决方案.
- 关于CW的研究正在增长,但使用高级统计和机器学习的定量元分析缺乏.
- 在CW研究中,传统的统计方法往往无法传达信心或不确定性.
研究的目的:
- 通过使用先进的统计技术,对建筑湿地性能进行定量元分析.
- 评估各种操作参数对CW污染物清除效率的影响.
- 为建造湿地提供数据驱动的设计建议.
主要方法:
- 使用基于启动的95%置信区间进行可靠的统计分析.
- 采用基于Random Forest的开箱式驾驶员分析来确定关键性能因素.
- 分析了55项研究的数据,包括163个试点和全规模建造湿地案例.
主要成果:
- 推的表面液压负载率 (HLR) 中位数为0.14 m/d,用于垂直流CWs (VF) 和0.13 m/d,用于水平流CWs (HF).
- 建议的液压保留时间 (HRT) 为VF的125.14小时,HF的72.00小时.
- 影响化学氧气需求 (COD) 是COD去除的主要驱动因素 (21.58%),而影响总 (TN) 和COD显著影响了TN去除 (分别为12.89%和10.01%).
- 液压保留时间 (HRT) 和基板高度 (H) 对COD去除有有限的影响,但对TN去除有很大影响.
结论:
- 该研究为建造湿地提供了统计学上可靠的设计参数.
- 确定了影响CW中COD和TN去除的关键操作因素.
- 为优化建筑湿地的设计和运营提供了切实可行的指导,以实现有效的废水处理.
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