Journal of Environmental Biology

Assessment of the relationship between ground level ozone and meteorological parameters in Aizawl, Mizoram

M.C. Lalropeki¹, H. Lalrinpuii²* and Lallawmkimi²     

1Department of Environmental Science, Mizoram University, Aizawl-796 009, India

2Department of Environmental Science, Pachhunga University College, Aizawl- 796 005, India

Received: 13 June 2025                   Revised: 22 August 2025                   Accepted: 05 September 2025

*Corresponding Author Email : hildarini25@gmail.com                  *ORCiD: https://orcid.org/0009-0003-5702-7140

Abstract

Aim: This study explores the relationship between ground-level ozone and key meteorological parameters in Aizawl, Mizoram over a period from March 2022 to February 2023.

Methodology: Secondary data on ozone concentrations and meteorological parameters were analysed using SPSS tool and Excel to investigate the seasonal variability of ground-level ozone concentrations, and to examine diurnal variations to identify peak ozone levels occurring at specific time intervals within 24 hours. It also analysed the correlation between ground-level ozone concentrations and key meteorological parameters such as temperature, humidity, and wind speed.

Results: Seasonal and diurnal variations showed that ozone concentrations were highest in summer (33.34 µg m^-3) and lowest in winter (7.04 µg m^-3), with peak levels during morning hours (06:00 am to 11:59 am). Correlation analysis and multiple linear regression models were employed to determine the impact of these variables on ozone levels. Temperature had a weak positive correlation with ozone (r = 0.275, p = 0.214), while rainfall (r = -0.273, p = 0.024) and humidity (r = -0.142, p = 0.018) exhibited significant negative correlations.

Interpretation: Ground-level ozone is a secondary pollutant produced due to human activity and has the potential to influence meteorological parameters, as well as climate change.

Key words: Ground level ozone, Humidity, Rainfall, Temperature

Copyright © 2026 Triveni Enterprises. All rights reserved. No part of the Journal can be reproduced in any form without prior permission. Responsibility regarding the authenticity of the data, and the acceptability of the conclusions enforced or derived, rest completely with the author(s).