Household greywater treatment using phytoremediation technology and CapsNet model

In recent decades, recycling of wastewater has received increasing attention among researchers, because it can satisfy the proliferating demand for groundwater and reduce water shortages in developed developing countries. A deep learning technique, CapsNet, was to predict optimal plant household greywater treatment. Then, a treatment system by utilizing phytoremediation technology with horizontal flow wetland construction utilize final treated organic gardening. Evaluation parameters like color, odor, temperature, pH, electrical conductivity, free residual chlorine, chloride, sulfate, Salmonella spp, Total Dissolved Solids (TDS), Suspended (TSS), oil grease, sulfide, Chemical Oxygen Demand (COD), E. coli, Biochemical (BOD), Nitrate Nitrogen were used analyze performance system. The experimental outcomes showed that Typha angustifolia achieved an effective outcome compared other plants, where most parameter values effluent low those influent. Most pH TDS higher than aquifers, but fell within world health organization safety limits.