Chandrasekaran Sivapragasam, Sankararajan Vanitha, Neelakandhan Nampoothiri, Ram Kumar Mahalakshmi
Center for Water Technology, Department of Civil Engineering, Kalasalingam University, Krishnankovil, Virudhunagar District, Tamil Nadu, India.
Environ Monit Assess. 2017 Nov 4;189(12):607. doi: 10.1007/s10661-017-6337-0.
This study, through extensive experiments and mathematical modeling, reveals that other than retention time and wastewater temperature (T), atmospheric parameters also play important role in the effective functioning of aquatic macrophyte-based treatment system. Duckweed species Lemna minor is considered in this study. It is observed that the combined effect of atmospheric temperature (T), wind speed (U), and relative humidity (RH) can be reflected through one parameter, namely the "apparent temperature" (T). A total of eight different models are considered based on the combination of input parameters and the best mathematical model is arrived at which is validated through a new experimental set-up outside the modeling period. The validation results are highly encouraging. Genetic programming (GP)-based models are found to reveal deeper understandings of the wetland process.
本研究通过广泛的实验和数学建模表明，除了停留时间和废水温度（T）外，大气参数对基于水生植物的处理系统的有效运行也起着重要作用。本研究以浮萍属植物小浮萍为研究对象。研究发现，大气温度（T）、风速（U）和相对湿度（RH）的综合影响可以通过一个参数，即“表观温度”（T）来反映。基于输入参数的组合，共考虑了八个不同的模型，并得出了最佳数学模型，该模型通过建模期外的新实验装置进行了验证。验证结果非常令人鼓舞。基于遗传编程（GP）的模型能够更深入地理解湿地过程。
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