In activated sludge systems, the sludge settling ability is considered a critical step where filamentous bulking and biomass deflocculation are the most common problems, causing the reduction of the effluent quality. Furthermore, in recent years image processing techniques have been successfully used to elucidate the activated sludge morphology. Keeping that in mind, a program was developed for...

The wastewater generated by the textile industry is rated as the most polluting among all industrial sectors considering both volumes discharged and effluent composition. Present investigation intended for COD and color removal from textile wastewater using naturally prepared coagulants i.e. Surjana Seed Powder (SSP), Maize Seed Powder (MSP) and Chitosan. Effect of coagulant dose, flocculation ...

Micropowder (20-250 µm) made from ground dry waste sludge from a municipal sewage treatment plant was added in a sequencing batch reactor (R2), which was fed by synthetic wastewater with acetate as carbon source. Compared with the traditional SBR (R1), aerobic sludge granulation time was shortened 15 days in R2. Furthermore, filamentous bacteria in bulking sludge were controlled to accelerate a...

This study investigated the effects of solid retention time (SRT) on sludge characteristics and operational performance in enhanced biological phosphorus removal (EBPR) reactor. The results showed that the reactor operated at SRT of / = 8.3 d could achieve phosphate removal efficiency > 90 % and SVI < 100 mL g–1. In comparison, increasing SRT to / = 16.6 d led to a decrease of phosphate removal...

Sludge Volume Index (SVI) is one of the most important operational parameters in an activated sludge process. It difficult to predict SVI because nonlinearity data and variability operation conditions. With complex time-series from Wastewater Treatment Plants (WWTPs), Recurrent Neural Network (RNN) with Explainable Artificial Intelligence was applied interpret prediction result. RNN architectur...

The electrocoagulation/flotation process is a novel approach in mining industry that is implemented to return Cu metal to the production cycle, which improves copper recovery and reduces waste water. In this research work, the response surface methodology was applied to optimize the factors effective in Cu metal recovery and sludge volume produced from thickener overflow. To this end, the D-opt...