Abstract

This study aims to investigate SO2 and NO2 level in atmospheric air using AVR microcontroller-SMS gateway system. This system could gather high-resolution spatiotemporal air pollution data by GSM network of low-cost sensors for monitoring real-time concentrations of different air pollutants, which can be then utilized for a variety of air pollution management tasks. The system able to provide information with threshold values, Good (1-50PPM), Medium (51-100PPM), No Health (101-199PPM), Very Unhealth (200-299PPM) and Dangerous (above 300 PPM). Level of NO2 is higher than NO2 standard. Meanwhile in general, level of SO2 is slightly higher than the standard value. The response time to the SMS communication system averages about 5 seconds depending on signal quality and data traffic from cellular service providers. Differences in Voltage and ADC measurements are caused by several errors, such as ADC ± 2 bit output error, rounding ADC conversion error to volt, or due to errors in the measuring tool used.

Highlights

  • Outdoor air pollution is a major problem in the 21st century, attributing to ~3.7 million deaths globally [1]

  • Monitoring sites are determined based on the Air Quality Standards, which clearly defines the minimum number of fixed monitoring stations for each target pollutant based on the air pollution levels, population, and coverage area

  • This study aims to investigate SO2 and NO2 level in atmospheric air using AVR microcontroller-SMS gateway system

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Summary

Introduction

Outdoor air pollution is a major problem in the 21st century, attributing to ~3.7 million deaths globally [1]. Monitoring sites are determined based on the Air Quality Standards, which clearly defines the minimum number of fixed monitoring stations for each target pollutant based on the air pollution levels, population, and coverage area. Such sites are generally spread in and around cities and provide temporal concentrations (typically hourly) of different pollutants. They are insufficient to provide accurate information about the spatial distribution of pollutants or identify pollution hotspots.

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