Abstract
Modern cities are densely populated spaces and number of people living in cities is increasing rapidly by years. The air monitoring stations exist in most of the cities to monitor air pollution. However, their number is insufficient having in mind the high cost of stations, as well as annual calibration cost. The potential solution is to use low-cost off-the-shelf sensors to monitor related air quality parameters, but they are not reliable due to the low accuracy, calibration issues, and short life cycle. In this paper, the methodology is proposed for calibration off-the-shelf air quality sensors using statistical algorithms and offset values from the official public measurement stations. The possibilities are analysed to improve the reliability of low-cost sensors by processing the obtained raw data. Special attention is devoted to the detection and elimination of short intervals when the raw results have the extraordinary high value-peaks and to the corresponding interpolation of these data. New algorithm for “peaks” detection and elimination is proposed and evaluated. Common Air Quality Index (CAQI) is calculated and evaluated in comparison with public monitoring station. It is shown that low-cost sensors could be used with high reliability as a complementary network to public monitoring stations.
Highlights
The population of the earth is growing up fast, but the urban population is growing up even faster
The results before peaks elimination are presented in red colour, while the results after peaks elimination are presented in blue colour
It is proved that low-cost sensors could be used with high reliability as a complementary network to public monitoring stations
Summary
The population of the earth is growing up fast, but the urban population is growing up even faster. From year 2007, more than half of the world’s population live in urban areas [1], and the World Health Organisation (WHO) estimates, that by year 2050, cities will be home to more of 70 % of the planet’s population [2]. The air monitoring stations exist in most of the cities to monitor air pollution in urban areas Their number is insufficient having in mind the high cost per station, as well as annual calibration cost. We are proposing the methodology for calibration off-the-shelf air quality sensors using statistical algorithms and offset values from the official public measurement stations.
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