期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2022
卷号：13
期号：2
DOI：10.14569/IJACSA.2022.0130271
语种：English
出版社：Science and Information Society (SAI)
摘要：A rise in the population of a region implies an increase in water consumption and such a continuous increase in the usage of water worsens wastewater generation by the region. This escalation in wastewater (influent) requires the Wastewater Treatment Plants (WWTPs) to operate efficiently in order to process the demand for sewage disposal (effluent). This research paper is based upon visualizing and analyzing the parameters of influent like COD, BOD, TSS, pH, MPN and also, the parameters of effluent like COD, BOD, DO, pH and MPN of Bharwara WWTP situated in Lucknow, India which is the largest UASB-based wastewater treatment plant in Asia. We also design and implement an initial model using the machine learning based techniques to analyze as well as predict the parameters of influent and effluent of the WWTP. Model Performance is measured using Mean Squared Error (MSE) and Correlation Coefficient (R). For analyzing and designing the model, the parameters of influent and effluent have been collected over a period of 26 months on a daily basis covering the variations between seasons and climate. As a result, the model shall provide a better quality of effluent along with consuming the plant resources in an efficient manner.
关键词：Wastewater treatment plant; Bharwara STP; UASB-based plant; influent or effluent prediction; data visualization of influent and effluent; machine learning based for WWTPs
