在水平流处理湿地中确定去除速率系数的最佳方法是什么:流入和废水度或纵向度概况?
Marcos von Sperling1, Scott D Wallace2, Jaime Nivala3
1Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
概括
使用纵向数据估计水平流 (HF) 湿地的去除率系数,可以更全面地了解处理过程. 然而,使用流入/流出数据可能会导致更安全的湿地设计,因为系数被低估了.
科学领域:
- 环境工程 环境工程
- 废水处理技术 废水处理技术
- 湿地系统 湿地系统
背景情况:
- 第一阶去除率系数 (k) 对于预测水平流 (HF) 湿地中的废水度至关重要.
- 估计这些系数通常依赖于流入和流出数据,但纵向数据提供了一个替代方案.
- 有限的资源可能会限制收集全面数据以准确估计系数.
研究的目的:
- 为了比较两种不同的方法衍生的坦克系列 (TIS) 模型的去除速率系数 (kV和kA),我们使用了两个不同的方法:入流/排水度与纵向度配置文件.
- 评估每种方法对理解内部清除过程和湿地设计安全性的影响.
主要方法:
- 一项文献调查确定了41个HF湿地/研究,在各种采样点进行化学氧需求 (COD) 测量.
- 使用TIS模型计算体积 (kV) 和面积 (kA) 移除速率系数,其中包括流入/流出数据和纵向数据.
主要成果:
- 从纵向配置文件中得出的去除速率系数通常高于从流入/流出数据中计算的.
- 这种差异表明,大部分成分的去除发生在HF湿地中的出口区域之前.
- 纵向分析提供了对内部处理机制的更全面的解释.
结论:
- 虽然纵向分析提供了对HF湿地性能更全面的了解,但使用流入/流出数据可能会导致更保守和更安全的设计,因为移除率被低估了.
- 方法的选择影响处理动态的理解和实际的工程设计考虑.
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