Sankararajan Vanitha, Neelakandhan Nampoothiri, Chandrasekaran Sivapragasam
Center for Water Technology, Department of Civil Engineering, Kalasalingam University, Krishnankovil, Srivilliputtur, Virudhunagar District, Tamil Nadu, India.
Environ Monit Assess. 2017 Apr;189(4):164. doi: 10.1007/s10661-017-5857-y. Epub 2017 Mar 15.
Despite the extensive use of constructed wetland (CW) as an effective method for domestic wastewater treatment, there is lack of clarity in arriving at well-defined design guidelines. This is particularly due to the fact that the design of CW is dependent on many inter-connected parameters which interact in a complex manner. Consequently, different researchers in the past have tried to address different aspects of this complexity. In this study, an attempt is made to model the influence of relative humidity (RH) in the effectiveness of BOD removal. Since it is an accepted fact that plants respond to change in humidity, it is necessary to take this parameter into consideration particularly when the CW is to be designed involving changes in relative humidity over a shorter time horizon (say a couple of months). This study reveals that BOD depends on the ratio of BOD and relative humidity. An attempt is also made to model the outlet BOD using genetic programming with inlet BOD and relative humidity as input parameters.
尽管人工湿地（CW）作为一种处理生活污水的有效方法被广泛使用，但在制定明确的设计指南方面仍缺乏清晰度。这尤其归因于人工湿地的设计依赖于许多相互关联的参数，这些参数以复杂的方式相互作用。因此，过去不同的研究人员试图解决这种复杂性的不同方面。在本研究中，尝试对相对湿度（RH）对生化需氧量（BOD）去除效果的影响进行建模。由于植物对湿度变化有反应这是一个公认的事实，所以在设计人工湿地时，特别是当涉及到相对湿度在较短时间范围内（比如几个月）发生变化时，有必要考虑这个参数。本研究表明，生化需氧量取决于生化需氧量与相对湿度的比值。还尝试使用遗传编程，以进水生化需氧量和相对湿度作为输入参数，对出水生化需氧量进行建模。
