Author Login IJIRT Partner Network (IPN) Login

PREDICTION OF SEWAGE TREATMENT PLANT PERFORMANCE IN LUCKNOW CITY BY USING ARTIFICIAL NEURAL NETWORKS

  • Unique Paper ID: 152613
  • Volume: 8
  • Issue: 3
  • PageNo: 1015-1020
  • Abstract:
  • To predict the performance of a sewage treatment plant (STP), Artificial neural networks (ANN) models were developed based on past information. The data used in this work were obtained from a Bharwara 345 MLD Gomti nagar sewage Treatment Plant Lucknow, with an average flow rate of 345 million lit/day. Daily records of biochemical oxygen demand (BOD) concentrations through various stages of the treatment process over 4 months were obtained from the plant laboratory. Exploratory data analysis was used to detect relationships in the data and evaluate data dependence. ANN-based models for prediction of BOD concentrations in plant effluent are presented. The appropriate architecture of the neural network models was determined through several steps of training and testing of the models. The ANN-based models were found to provide an efficient and a robust tool in predicting WWTP performance.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 3
  • PageNo: 1015-1020

PREDICTION OF SEWAGE TREATMENT PLANT PERFORMANCE IN LUCKNOW CITY BY USING ARTIFICIAL NEURAL NETWORKS

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry