Forecast of SO2 Air Contamination utilizing Artificial Neural Network: Sample of City Meerut-Reference-Cited by-同舟云学术

Forecast of SO2 Air Contamination utilizing Artificial Neural Network: Sample of City Meerut

Published:2024-02-13 Issue: Volume: Page:
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Author:

kumar Lokesh¹,Kumar Gaurav¹

Affiliation:

1. NAS College

Abstract

Abstract SO2 is among the air poisons that assume the best part in air contamination. In this study, using data from 2019 to 2023, estimates of how this contaminant was affecting human health and the environment were made using artificial neural networks, a well-liked learning method in use today. Information having a place with Meerut territory, where the center of industry is located, was acquired by the Air Observation Center of Uttar Pradesh Pollution Control Board (UPPCB), and modeling and optimization were completed in SPSS programming. The obtained SO2 estimation results were subjected to a multilayer perceptron analysis before being compared with the actual data. Furthermore, the SO2 value for the province of Meerut has been recorded to occasionally beyond the permissible level, particularly during periods of high production.

Publisher

Research Square Platform LLC

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