Title: Application of artificial neural network in environmental engineering - a state-of-the-art review

Authors: Viren Chandanshive; Ashwini Shanbhag

Addresses: Department of Civil Engineering, Vidyavardhini's College of Engineering and Technology, Vasai Road (West), 401202, Maharashtra, India ' Department of Civil Engineering, Thakur College of Engineering and Technology, Thakur Village, Kandivali(E), Mumbai – 400101, Maharashtra, India

Abstract: The concept of an artificial neural network (ANN) was to imitate the nervous system and human brain's activity. Comprehensive literature review revealed that ANNs are widely used in environmental engineering and are recognised in modelling of water quality index and waste-water treatment plant efficiency, as well as in predicting air quality index and noise pollution analysis. This study provides a review of various methodologies and applications in environmental engineering. Accordingly, articles were categorised based on methodology, approach employed, release year, authors, research goals, outcomes, discoveries, solutions, and modelling. A decent corporeal sympathetic ANN approach is summarised in this study. The most significant factors were identified and explained in detail, which will be considered while developing a more efficient neural network model. Furthermore, this research may aid civil and environmental engineers, as well as practitioners, in addressing engineering difficulties and comprehending the applicability of ANN against traditional mathematical approaches.

Keywords: artificial neural network; ANN; water quality index; wastewater treatment; air quality; prediction.

DOI: 10.1504/IJEWM.2024.137949

International Journal of Environment and Waste Management, 2024 Vol.33 No.4, pp.499 - 510

Received: 28 Jul 2021
Accepted: 17 Nov 2021
Published online: 12 Apr 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article