Automated Dust Detection System for Air Quality Control and Monitoring in Hafr AL-Batin University
Keywords:
Air Pollution, Dust Detection, Environmental health, Hafr Al-Batin University, Internet of Things (IoT), Mobile application, Reliability.Abstract
Dust is one of the more worrisome manifestations of air pollution, which is a ubiquitous hazard to both our environment and health. Pollutants such as ozone, nitrogen oxides, and particulate matter combine with dust, which covers urban and highly populated areas, obstructing the skyline. This paper proposes a mobile application-based system to gather data from dust sensor hardware devices which were conveniently installed in classrooms at the University of Hafr Al-Batin and its offices premises. An Arduino-based Internet of Things (IoT) device is connected to a fine dust sensor and provides dust-level data to a mobile application in real time. This system serves as a dependable and informative indicator of dust levels present in these spaces. This application provides the students, faculty members, and employees with the tools to actively monitor and address potential dust-related concerns within their immediate surroundings. The proposed application is expected to monitor and provide early warning on the environmental health conditions of at the University of Hafr Al-Batin in real-time. Students and the staff members can then avoid places where pollution levels endanger their health.
Downloads
References
A.A. Chandra, N.I. Jannif, S. Prakash and V. Padiachy, Cloud Based Real-time Monitoring and Control of Diesel Generator using the IoT Technology, 2017 20th International Conference on Electrical Machines and Systems(ICEMS).
C.L. Zhong, Z. Zhu and R.G. Huang, "Study on the IoT Architecture and Access Technology", 2017 16th International Symposium on Distributed Computing and Applications to Business Engineering and Science(DCABES)
Marek Badura, Izabela Sówka, Piotr Szymański, Piotr Batog, Assessing the usefulness of dense sensor network for PM2.5 monitoring on an academic campus area, Science of The Total Environment, Volume 722, 2020.
Mansoor Ahmad Bhat, Fatma Nur Eraslan, Alaa Awad, Semra Malkoç, Özlem Özden Üzmez, Tuncay Döğeroğlu, Eftade O. Gaga, Investigation of indoor and outdoor air quality in a university campus during COVID-19 lock down period, Building and Environment, Volume 219, 2022
Bing Dong, Vishnu Prakash, Fan Feng, Zheng O'Neill, A review of smart building sensing system for better indoor environment control, Energy and Buildings, Vo199, Pp 29-46, 2019.
Omar Ramírez, Brayan Hernández-Cuellar, Jesús D. de la Rosa, Air quality monitoring on university campuses as a crucial component to move toward sustainable campuses: An overview, Urban Climate, Vol 52, 2023.
Polianytsia, O. Starkova and K. Herasymenko, "Survey of the IoT Data Transmission Protocols", 2017 4th International Scientific-Practical Conference Problems of Info communications. Science and Technology(PICS).
Bedell, E., Harmon, O., Fankhauser, K., Shivers, Z., & Thomas, E. A continuous, in-situ, near-time fluorescence sensor coupled with a machine learning model for detection of fecal contamination risk in drinking water: Design, characterization and field validation. Water Research, 220, 118644, 2022.
Besuglow, J., Tessonnier, T., Kopp, B., Mein, S., & Mairani, A.. The evolution of lateral dose distributions of helium ion beams in air: From measurement and modeling to their impact on treatment planning. Frontiers in Physics, 9, 797354, 2022.
Cattaneo, A., Spinazzè, A., & Cavallo, D. M. Indoor Air Quality in Offices. In Handbook of Indoor Air Quality,. Singapore: Springer Nature Singapore, pp. 1935-1960, 2022.
Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart farming: Internet of Things (IoT)-based sustainable agriculture. Agriculture, 12(10), 1745.
Dimitrios Bousiotis, Leah-Nani S. Alconcel, David C.S. Beddows, Roy M. Harrison, Francis D. Pope, Monitoring and apportioning sources of indoor air quality using low-cost particulate matter sensors, Environment International, Vol 174, 2023
Sophie A. Mills, José M. Maya-Manzano, Fiona Tummon, A. Rob MacKenzie, Francis D. Pope, Machine learning methods for low-cost pollen monitoring – Model optimisation and interpretability, Science of The Total Environment, Vol 903, 2023
R. An, H. Yu, Impact of ambient fine particulate matter air pollution on health behaviors: a longitudinal study of university students in Beijing, China, Public Health, Volume 159, Pages 107-115, 2018.
Ana Rita Amaral, Eugénio Rodrigues, Adélio Rodrigues Gaspar, Álvaro Gomes, A review of empirical data of sustainability initiatives in university campus operations, Journal of Cleaner Production, Volume 250, 2020.
Farella, M. M., Fisher, J. B., Jiao, W., Key, K. B., & Barnes, M. L. (2022). Thermal remote sensing for plant ecology from leaf to globe. Journal of Ecology, 110(9), 1996-2014.
Govardhan, G., Ghude, S. D., Kumar, R., Sharma, S., Gunwani, P., Jena, C., ... & Rajeevan, M. (2023). Decision Support System version 1.0 (DSS v1. 0) for air quality management in Delhi, India. Geoscientific Model Development Discussions, 2023, 1-30.
Guerrero-Ulloa, G., Andrango-Catota, A., Abad-Alay, M., Hornos, M. J., & Rodríguez-Domínguez, C, Development and assessment of an indoor air quality control IoT-based system. Electronics, 12(3), 608, 2023.
Khan, M. Z. A., Khan, H. A., Ravi, S. S., Turner, J. W., & Aziz, M. Potential of clean liquid fuels in decarbonizing transportation–An overlooked net-zero pathway? Renewable and Sustainable Energy Reviews, 183, 113483, 2023.
Habib M. Alshuwaikhat, Ismaila Abubakar, An integrated approach to achieving campus sustainability: assessment of the current campus environmental management practices, Journal of Cleaner Production, Vol 16, No 16, 2008, Pp 1777-1785
Fariba Abbasi, Hasan Pasalari, Juana Maria Delgado-Saborit, Ata Rafiee, Alireza Abbasi, Mohammad Hoseini, Characterization and risk assessment of BTEX in ambient air of a Middle Eastern City, Process Safety and Environmental Protection, Vol 139, Pp 98-105, 2020.
Naureen, I., Saleem, A., Aslam, S., Zakir, L., Mukhtar, A., Nazir, R., & Zulqarnain, S.. Potential Impact of Smog on Human Health. Haya Saudi J Life Sci, 7(3), 2022, 78-84.
Rizvi, S. S. R., Abbass, S., Rehman, A. U., Zia, T. J., Younas, M., & Asadullah, M. (2018). Socio-IoT enabled smart drive system for smart cities. International journal of computer science and network security, 18(8), 1-12.
Singh, S., & Kumar, R. (2022). Air Pollution and Its Associated Impacts on Atmosphere and Biota Health. In Extremes in Atmospheric Processes and Phenomenon: Assessment, Impacts and Mitigation (pp. 29-58). Singapore: Springer Nature Singapore.
Uddin, W. (2022). Mobile and area sources of greenhouse gases and abatement strategies. In Handbook of climate change mitigation and adaptation (pp. 743-807). Cham: Springer International Publishing.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
