Rehman Khadeeja, Arslan Muhammad, Müller Jochen A, Saeed Muhammad, Anwar Samina, Islam Ejazul, Imran Asma, Amin Imran, Mustafa Tanveer, Iqbal Samina, Afzal Muhammad
Soil & Environmental Biotechnology Division, National Institute for Biotechnology and Genetic Engineering College, Pakistan Institute of Engineering and Applied Sciences (NIBGE-C, PIEAS), Faisalabad, Punjab, 38000, Pakistan.
Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan.
Sci Rep. 2022 Mar 16;12(1):4566. doi: 10.1038/s41598-022-08517-1.
The application of floating treatment wetlands (FTWs) is an innovative nature-based solution for the remediation of polluted water. The rational improvement of water treatment via FTWs is typically based on multifactorial experiments which are labor-intensive and time-consuming. Here, we used the response surface methodology (RSM) for the optimization of FTW's operational parameters for the remediation of water polluted by crude oil. The central composite design (CCD) of RSM was used to generate the experimental layout for testing the effect of the variables hydrocarbon, nutrient, and surfactant concentrations, aeration, and retention time on the hydrocarbon removal in 50 different FTW test systems planted with the common reed, Phragmites australis. The results from these FTW were used to formulate a mathematical model in which the computational data strongly correlated with the experimental results. The operational parameters were further optimized via modeling prediction plus experimental validation in test FTW systems. In the FTW with optimized parameters, there was a 95% attenuation of the hydrocarbon concentration, which was very close to the 98% attenuation predicted by the model. The cost-effectiveness ratio showed a reduction of the treatment cost up to $0.048/liter of wastewater. The approach showed that RSM is a useful strategy for designing FTW experiments and optimizing operational parameters.
浮动处理湿地（FTW）的应用是一种创新的基于自然的污染水修复解决方案。通过FTW进行水处理的合理改进通常基于多因素实验，这些实验既耗费人力又耗时。在此，我们使用响应面法（RSM）来优化FTW处理原油污染水的运行参数。RSM的中心复合设计（CCD）用于生成实验布局，以测试碳氢化合物、营养物质、表面活性剂浓度、曝气和停留时间等变量对50个不同种植有芦苇（Phragmites australis）的FTW测试系统中碳氢化合物去除效果的影响。这些FTW的结果用于建立一个数学模型，其中计算数据与实验结果高度相关。通过在测试FTW系统中的模型预测和实验验证进一步优化运行参数。在参数优化后的FTW中，碳氢化合物浓度衰减了95%，这与模型预测的98%衰减非常接近。成本效益比显示处理成本降低至每升废水0.048美元。该方法表明RSM是设计FTW实验和优化运行参数的有用策略。
