Environment and Ecology Research Vol. 11(6), pp. 942 - 948
DOI: 10.13189/eer.2023.110605
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Particulate Matter Continuous Emission Monitoring System on Car Free Day Based on the Internet of Thing

Lina Warlina ^1,*, Sri Listyarini ¹, Aceng Sambas ^2,3, Dian Syah Maulana ^4
1 Department of Environment, Universitas Terbuka, Indonesia
² Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin (UniSZA), Besut Campus, Malaysia
³ IoT, Machines, and Systems (IMachS) Special Interest Group, Universiti Sultan Zainal Abidin, Gong Badak Campus, Malaysia
⁴ Sekolah Menengah Kejuruan PST Al-Huda, Tasikmalaya, Indonesia

ABSTRACT

The escalation in the prevalence of petrol and diesel-powered vehicles within urban locales, coupled with the presence of industrial zones situated on the peripheries of major metropolitan areas, constitutes the primary catalyst for atmospheric pollution. Notably, particulate matter (PM) emerges as a preeminent constituent in the compendium of air pollutants. PM denotes minuscule particles, exhibiting a diameter falling within the range of 2.5 to 10 micrometers or less. It becomes imperative to devise a continuous ambient air PM concentration measurement apparatus to enable the perpetual scrutiny of air quality. The PM2.5 monitoring system necessitates a sensor characterized by affordability, compactness, and a commendable level of precision. To this end, researchers have conceived a sensor predicated on the light scattering methodology for the quantification of airborne particulates. Nevertheless, these sensors mandate a rigorous evaluation phase before their deployment in real-world scenarios. Consequently, there arises a need for a calibration system designed to assess their performance. In the present investigation, the GP2Y1010AU0F Dust Sensor Module was selected for PM assessment. This paper outlines the design of a PM2.5 monitoring system utilizing sensors that have undergone validation within an aerosol chamber. The monitoring system integrates the AVR Arduino Uno microcontroller as the data processing unit, while the Internet of Things (IoT) framework, denoted by ESP8266, was employed in this study. The results obtained through the monitoring endeavor reveal that Car-Free Day (CFD) events yield a reduction of 14.55% in PM concentrations compared to typical operational days. The findings derived from the air quality assessment undertaken during CFD activities substantiate the sensors' aptitude for accurately quantifying PM2.5 concentrations in ambient air.

KEYWORDS
Airborne Particulate, Aerosol Chamber, Pm Sensor, Air Particulate Monitoring

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Lina Warlina , Sri Listyarini , Aceng Sambas , Dian Syah Maulana , "Particulate Matter Continuous Emission Monitoring System on Car Free Day Based on the Internet of Thing," Environment and Ecology Research, Vol. 11, No. 6, pp. 942 - 948, 2023. DOI: 10.13189/eer.2023.110605.

(b). APA Format:
Lina Warlina , Sri Listyarini , Aceng Sambas , Dian Syah Maulana (2023). Particulate Matter Continuous Emission Monitoring System on Car Free Day Based on the Internet of Thing. Environment and Ecology Research, 11(6), 942 - 948. DOI: 10.13189/eer.2023.110605.