AccScience Publishing / AJWEP / Volume 20 / Issue 3 / DOI: 10.3233/AJW230032
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RESEARCH ARTICLE

Characteristics of Ambient Air Pollutions in Delhi, India

Tofan Agung Eka Prasetya1* ,  Muhammad Rifki Taufik2 ,  Ratnaningtyas Wahyu1 ,  Kusuma Wardani1 ,  Tri Wijayanti Septiarini3 ,  Eka Rosanti4
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1 Health Department, Faculty of Vocational Studies, Universitas Airlangga, Indonesia
2 Research and Development Center, Indonesian Agency for Meteorology, Climatology, and Geophysics, BMKG
3 Faculty of Economics and Management, University of Darussalam, Indonesia
4 Faculty of Health Science, University of Darussalam, Gontor, Indonesia
AJWEP 2023, 20(3), 1–9; https://doi.org/10.3233/AJW230032
Received: 19 July 2021 | Published online: 19 April 2024
© 2024 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Air pollution is characterised as the presence of one or more pollutants in the outdoor environment, such as dust, gases, mist, odour, smoke, or vapour. They are harmful to human, plant, or animal life or property or interfere with the healthy nature of life or property in specific amounts, characteristics, or periods. This study aimed to investigate the characteristics of ambient air pollution through relations between determinants to each SO2, NO2, PM10, and suspended particulate matter (SPM) by applying linear regression. The data has been obtained from the official websites of the Indian government based on the real-time pollutant concentrations monitored by stations in an urban and resident areas from 2000 until 2015. The data consisted of eight (8) variables; SO2, NO2, PM10, and SPM as outcomes, month, year, area, and monitoring stations as determinants. The model showed that the month, year, monitoring station, and area were correlated to SO2, NO2, and PM10 concentration. Yet, in SPM concentration, month, year, the station was correlated. The area was not correlated to SPM. Investigation of other predictors was needed to gain information about the increasing air pollution on a global scale.

Keywords
Air pollution
regression
suspended particulate matter.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing
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