Monitoring and analysis of air quality and meteorological parameters on the construction site by the IoT

Keywords: construction site, PM concentration, correlation, meteorology

Abstract


Introduction/purpose: The construction industry is one of the main producers of dust, greenhouse gases and air pollutants.  Effective operation and management of construction site operations can significantly reduce projects' carbon footprints and other environmental impacts.  Through the cooperation of a scientific and research institution and a construction company, the real-time monitoring of air quality at a construction site was implemented using IoT technologies.  

Methods: An IoT-based system framework that integrates a distributed sensor network to collect real-time data and demonstrates air quality at a construction site was implemented.  Different types of sensors were used to collect data related to NO2, PM2.5, and PM10 particles, as well as meteorological parameters – wind speed and direction, humidity, pressure, and temperature.

Results: The results of real-time measurements provide a picture of the state of air pollution at the construction site and the connection with construction activities that can be managed in order to reduce the concentration of polluting gases and suspended particles. Through on-site monitoring of  a construction site in Belgrade City, this study found that the dust  level due to construction activities is relatively high.

Conclusion: It can be concluded that the construction activity had a significant impact on the air quality in the construction surrounding areas. Regarding the main factors affecting the building construction dust emission, the correlations show that building construction dust emission was not significantly correlated with  meteorological factors.

 

References

Araújo, I.P.S., Costa, D.B. & De Moraes, R.J.B. 2014. Identification and Characterization of Particulate Matter Concentrations at Construction Jobsites. Sustainability, 6(11), pp.7666-7688. Available at: https://doi.org/10.3390/su6117666.

Azarmi, F., Kumar, P. & Mulheron, M. 2014. The exposure to coarse, fine and ultrafine particle emissions from concrete mixing, drilling and cutting activities. Journal of Hazardous Materials, 279, pp.268-279. Available at: https://doi.org/10.1016/j.jhazmat.2014.07.003.

De Moraes, R.J.B., Costa, D.B. & Araújo, I.P.S. 2016. Particulate Matter Concentration from Construction Sites: Concrete and Masonry Works. Journal of Environmental Engineering, 142(11). Available at: https://doi.org/10.1061/(ASCE)EE.1943-7870.0001136.

-EPA – United States Environmental Protection Agency. 2022. Criteria Air Pollutants [online]. Available at: https://www.epa.gov/criteria-air-pollutants#sel [Accessed: 02 April 2023].

Font, A., Baker, T., Mudway, I.S., Purdie, E., Dunster, C. & Fuller, G.W. 2014. Degradation in urban air quality from construction activity and increased traffic arising from a road widening scheme. Science of The Total Environment, 497-498, pp.123–132. Available at: https://doi.org/10.1016/j.scitotenv.2014.07.060.

Hassan, H.A., Kumar, P. & Kakosimos, K.E. 2016. Flux estimation of fugitive particulate matter emissions from loose Calcisols at construction sites. Atmospheric Environment, 141, pp.96-105. Available at: https://doi.org/10.1016/j.atmosenv.2016.06.054.

Kinsey, J.S., Linna, K.J., Squier, W.C., Muleski, G.E. & Chatten, C.Jr. 2004. Characterization of the Fugitive Particulate Emissions from Construction Mud/Dirt Carry out. Journal of the Air & Waste Management Association, 54(11), pp.1394-1404. Available at: https://doi.org/10.1080/10473289.2004.10471007.

Tian, G., Qiao, Z. & Xu, X. 2014. Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001–2012 in Beijing. Environmental Pollution, 192, pp.266-274. Available at: https://doi.org/10.1016/j.envpol.2014.04.036

Wei, L., Xiaohui, H., Huapeng, C., Luyao, H. & Huihua, C. 2022. Analyzed and Simulated Prediction of Emission Characteristics of Construction Dust Particles under Multiple Pollution Sources. Computational Intelligence and Neuroscience, 2022, art.ID:7349001. Available at: https://doi.org/10.1155/2022/7349001.

Yan, H., Ding, G., Li, H., Wang, Y., Zhang, L., Shen, Q. & Feng, K. 2019. Field Evaluation of the Dust Impacts from Construction Sites on Surrounding Areas: A City Case Study in China. Sustainability, 11(7), art.number:1906. Available at: https://doi.org/10.3390/su11071906.

Zhang, W., Wang, X., Liu, Z., Zhang, Y., Shao, M., Cheng, Q., Wu, D. & Ian, W. 2010. Construction Fugitive PM10Emission and Its Influences on Air Quality in Guiyang. Acta Scientiarum Naturalium Universitatis Pekinensis, 46(2), pp.258-264 [online]. Available at: http://xbna.pku.edu.cn/EN/Y2010/V46/I2/258 [Accessed: 02 April 2023].

Zhao, Y., Yu, L., Zhang, C., Wang, Q., Jing, T. & Chen, Z. 2010. Spatial dispersion laws of particulate matter from construction work site of municipal engineering. Ecology and Environmental Sciences, 11, pp.2625-2628. Available at: https://doi.org/10.16258/j.cnki.1674-5906.2010.11.030.  

Published
2023/06/08
Section
Original Scientific Papers