In Bioresource technology
Varying the depth of HFCW media causes differences in the redox status within the system, and hence the community structure and diversity of bacteria, affecting removal rates of different pollutants. The key functional microorganisms of CWs that remove contaminants belong to the phyla Proteobacteria, Bacteroidetes, Actinobacteria, and Firmicutes. Secondary data of 111 HFCWs (1232 datasets) were analyzed to deduce the relationship between volumetric removal rate coefficients (KBOD, KTN, KTKN, and KTP) and depth. Equations of depth were derived in terms of rate coefficients using machine learning approach (MLR and SVR) (R2=0.85,0.87 respectively). These equations were then used to find the optimum depth for pollutant(s) removal using Grey wolf optimization (GWO). The computed optimum depths were 1.48, 1.71, 1.91, 2.09, and 2.14 m for the removal of BOD, TKN, TN, TP, and combined nutrients, respectively, which were validated through primary data. This study would be helpful for optimal design of HFCWs.
Singh Saurabh, Soti Abhishek, Mohan Kulshreshtha Niha, Kumar Nikhil, Brighu Urmila, Bhushan Gupta Akhilendra, Bezbaruah Achintya N
2023-Mar-15
Grey Wolf Optimization (GWO), horizontal flow constructed wetlands (HFCWs), major functional microorganisms, optimum depth, volumetric removal rate coefficients
