Smart environmental drone utilization for monitoring urban air quality

Yıl 2024, Cilt: 7 Sayı: 2, 194 - 200, 30.06.2024

Yeliz Durgun , Mahmut Durgun

https://doi.org/10.35208/ert.1369716

Öz

Urban air quality has significant and far-reaching impacts on both human health and the broader environment. Pollutants like particulate matter (PM2.5 and PM10), for instance, are associated with a range of health issues including respiratory conditions, asthma, heart diseases, and even contribute to low birth weight in newborns. These health implications extend to larger environmental concerns such as air pollution, greenhouse gas emissions, and global climate change. Recognizing the urgent need for effective and dynamic air quality monitoring solutions, this paper explores the use of smart environmental drones as a promising approach. Our drone is equipped with a state-of-the-art, low-cost particulate matter sensor that can accurately measure PM2.5 and PM10 concentrations. Operating at a flight speed of 10 m/s and capable of covering a range of 5 km, the drone executes a pre-programmed flight plan to autonomously map pollution levels across urban areas. With a 95% accuracy rate in sensor readings, our model significantly minimizes potential errors commonly associated with traditional air quality monitoring methods. Furthermore, it simplifies maintenance procedures, reducing both time and financial costs. By employing drone technology in this innovative manner, our model offers a cost-effective, reliable, and dynamic solution for monitoring urban air quality. It provides real-time, actionable pollution indices that can inform public health decisions, regulatory policies, and community awareness, thereby contributing to the broader goal of improving air quality and public health.

Anahtar Kelimeler

Urban air quality, environmental drone, real time measurement, air pollution measurement

Kaynakça

• H. Angelo and D. Wachsmuth, “Why does everyone think cities can save the planet?,” Urban Studies, Vol. 57(11), pp. 2201-2221, 2020. [CrossRef]
• H. Baykal, and T. Baykal, “Environmental problems in a globalized World,” Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Vol. 5(9), 2008.
• I. Manisalidis, E. Stavropoulou, A. Stavropoulos, and E. Bezirtzoglou, “Environmental and health impacts of air pollution: a review,” Frontiers in Public Health, Vol. 8, Article 14, 2020. [CrossRef]
• A. L. Melnik, “What Will You Drink?: Quenching Thirst Through the Ages,” Post Hill Press, 2020.
• H. A. Shahriyari, Y. Nikmanesh, S. Jalali, N. Tahery, A. Zhiani Fard, N. Hatamzadeh, K. Zarea, M. Cheraghi, and M. J. Mohammadi, “Air pollution and human health risks: mechanisms and clinical manifestations of cardiovascular and respiratory diseases,” Toxin Rev, Vol. 41(2), pp. 606-617, 2022. [CrossRef]
• N. Z. Muller, R. Mendelsohn, and W. Nordhaus, "Environmental accounting for pollution in the United States economy," Am. Econ. Rev., Vol. 101(5), pp. 1649-1675, 2011. [CrossRef]
• World Health Organization, Air quality guidelines: global update 2005: particulate matter, ozone, nitrogen dioxide, and sulfur dioxide. World Health Organization, 2006.
• X. Querol, A. Alastuey, S. Rodriguez, F. Plana, E. Mantilla, and C. R. Ruiz,"Monitoring of PM10 and PM2. 5 around primary particulate anthropogenic emission sources," Atmospheric Environment, Vol. 35(5), pp. 845858, 2001. [CrossRef]
• M. A. Zoran, R. S. Savastru, D. M. Savastru, and M. N. Tautan, “Assessing the relationship between surface levels of PM2. 5 and PM10 particulate matter impact on COVID-19 in Milan, Italy,” Science of The Total Environment, Vol. 738, Article 139825, 2020. [CrossRef]
• M. H. Vahidi, F. Fanaei, and M. Kermani, “Long-term health impact assessment of PM2. 5 and PM10: Karaj, Iran,” International Journal of Environmental Health Engineering, Vol. 9, pp. 1-7, 2020.
• L. Luo, X. Bai, S. Liu, B. Wu, W. Liu, Y. Lv, Z. Guo, S. Lin, S. Zhao, Y. Hao, J. Hao, K. Zhang, A. Zheng, and H. Tian,"Fine particulate matter (PM2. 5/PM1. 0) in Beijing, China: Variations and chemical compositions as well as sources," Journal of Environmental Sciences, Vol. 121, pp. 187-198, 2022. [CrossRef]
• H. Buhaug, N. P. Gleditsch, and O. M. Theisen, "Implications of climate change for armed conflict," World Bank, Vol. 2, 2008.
• T.-M. Chen, W. G. Kuschner, J. Gokhale, and S. Shofer, “Outdoor air pollution: nitrogen dioxide, sulfur dioxide, and carbon monoxide health effects,” The American Journal of the Medical Sciences, Vol. 333(4), pp. 249-256, 2007. [CrossRef]
• Y. Du, X. Xu, M. Chu, Y. Guo, and J. Wang, “Air particulate matter and cardiovascular disease: the epidemiological, biomedical and clinical evidence,” Journal of Thoracic Disease, Vol. 8(1), pp. E8-E19, 2016.
• P. Yin, J. Guo, L. Wang, W. Fan, F. Lu, M. Guo, S. B. R. Moreno, Y. Wang, H. Wang, M. Zhou, and Z. Dong, “Higher risk of cardiovascular disease associated with smaller size-fractioned particulate matter,” Environmental Science & Technology Letters, Vol. 7(2), pp. 95-101, 2020. [CrossRef]
• Y. A. Alemayehu, S. L. Asfaw, and T. A. Terfie, “Exposure to urban particulate matter and its association with human health risks,” Environmental Science and Pollution Research, Vol. 27, pp. 27491-27506, 2020. [CrossRef]
• K. Kuklinska, L. Wolska, and J. Namiesnik, “Air quality policy in the US and the EU–a review,” Atmospheric Pollution Research, Vol. 6(1), pp. 129-137, 2015. [CrossRef]
• H. Erdun, A. Öztürk, Ö. Çapraz, H. Toros, S. Dursun, and A. Deniz, “Spatial variation of PM10 in Turkey,” in 7th Atmospheric Sciences Symposium, Istanbul, Turkey, 2015, pp. 311-323. [CrossRef]
• T. Büke, and A. Ç. Köne, “Assessing air quality in Turkey: A proposed, air quality index,” Sustainability, Vol. 8(1), Article 73, 2016. [CrossRef]
• E. O. Gaga, T. Döğeroğlu, Ö. Özden, A. Ari, O. D. Yay, H. Altuğ, N. Akyol, S. Örnektekin, and W. Van Doorn, “Evaluation of air quality by passive and active sampling in an urban city in Turkey: current status and spatial analysis of air pollution exposure,” Environmental Science and Pollution Research, Vol. 19, pp. 3579-3596, 2012. [CrossRef]
• R. R. Hemamalini, R. Vinodhini, B. Shanthini, P. Partheeban, M. Charumathy, and K. Cornelius, “Air quality monitoring and forecasting using smart drones and recurrent neural network for sustainable development in Chennai city,” Sustainable Cities and Society, Vol. 85, Article 104077, 2022. [CrossRef]
• M. F. T. Babierra, N. N. Carandang, A. Mangubat, C. T. Mercado, A. Santos, and C. Escarez, “AQMoD: An IoT Implementation of Air Quality Monitoring, Mapping, and Warning System Using Drone Technology,” in Tencon 2022-2022 IEEE Region 10 Conference (Tencon), 2022, pp. 1-5. [CrossRef]
• R. Camarillo-Escobedo, J. L. Flores, P. M. Montoya, G. García-Torales, and J. M. Camarillo-Escobedo, “Smart multi-sensor system for remote air quality monitoring using unmanned aerial vehicle and LoRaWAN,” Sensors, Vol. 22(5), Article 1706, 2022. [CrossRef]
• A. Hossain, M. J. Anee, R. Faruqui, S. Bushra, P. Rahman, and R. Khan, “A gps based unmanned drone technology for detecting and analyzing air pollutants,” IEEE Instrumentation & Measurement Magazine, Vol. 25(9), pp. 53-60, 2022. [CrossRef]
• J. Burgués and S. Marco, “Drone-based monitoring of environmental gases,” in Air Quality Networks: Data Analysis, Calibration & Data Fusion, Springer, pp. 115-137, 2023. [CrossRef]
• I. A. Limon, A. D. Hossain, K. F. Ibne Faruque, M. R. Uddin, and M. Hasan "Drone-Based Real-Time Air Pollution Monitoring for Low-Access Areas by Developing Mobile-Smart Sensing Technology," in 2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2023, pp. 90-94, 2023. [CrossRef]
• A. Cozma, Adrian-Cosmin Firculescu, D. Tudose, and L. Ruse, “Autonomous Multi-Rotor Aerial Platform for Air Pollution Monitoring,” Sensors, Vol. 22(3), Article 860, 2022. [CrossRef]
• B. Yılmaz, B. Kütük, and İ. Korkamz, “Real Time Air Quality Sensing with Ground Robot and Drone.” file:///Users/batti/Downloads/RealTimeAirQualitySensingwithGroundRobot.pdf Accessed on Feb 16, 2024.
• B. Prabu, R. Malathy, M. N. A. Gulshan Taj, and N. Madhan “Drone networks and monitoring systems in smart cities,” in AI-Centric Smart City Ecosystems, CRC Press, pp. 123-148, 2022. [CrossRef]
• U. Isikdag and K. Sahin, “Web based 3D visualisation of time-varying air quality information,” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 42, pp. 267-274, 2018. [CrossRef]