Variations In Influent To Wastewater Treatment Plants Based On Sequential Batch Reactors

Abstract

The rapid pace of urban development in India has dramatically increased the volume of wastewater generation. The growing discharge of untreated and semi-treated sewage has emerged as a serious threat to water resources. Natural water bodies used for drinking and irrigation are directly affected by these pollution loads. Wastewater treatment systems are designed to mitigate health and environmental hazards prior to final discharge. However, the influent characteristics fluctuate based on a variety of environmental and human factors. Seasonal shifts, cultural practices, and water consumption patterns greatly influence the quality of incoming wastewater. These changes, in turn, can directly impact the operational stability and output of treatment plants. The present research investigates how seasonal changes alter key wastewater parameters such as BOD, COD, and TSS. A comprehensive analysis was carried out over a three-year timeline at two municipal plants in Navi Mumbai. Both facilities, equipped with sequential batch reactor systems, were selected for their high treatment capacity. The collected data were interpreted using Response Surface Methodology supported by ANOVA for precise seasonal comparisons. Despite varying influent quality, both plants consistently met discharge regulations. The study emphasizes the need for robust monitoring frameworks to secure long-term treatment efficiency and environmental health.