A Dashboard System for Monitoring Air Pollution in Surabaya based on PM2.5
Downloads
In developing countries where population grows rapidly, air pollution has been a serious issue for the public health. Among various pollutants, ï¬ne particulate matters (PM2.5) is associated with distinct serious health problems, e.g., asthma, cancer, cardiovascular and respiratory diseases. To raise the awareness of the community and decision makers in order to solve the air-pollution problem, the level of the PM2.5 index should be monitored. In this paper, we propose a dashboard system for monitoring air pollution based on PM2.5. A portable device (i.e., Edimax Airbox) was installed inside the building of Stikom Surabaya college to measure the PM2.5 level. The sensors in this device read the PM2.5 level, air temperature, and humidity level, and then it transmits the data to the cloud service. The cloud platform makes the collected data accessible through an open data API that allows our system to interact with the data in the JSON format. The data then was parsed in a web server and visualized in a dashboard system. The dashboard system provides two indicators, the live PM2.5 sensor measurement and the measurement history. The dashboard successfully visualized the indicator of air pollution index, based on PM2.5 standards by WHO and Dinas Kesehatan Indonesia (the Indonesian Department of Health). Within seven days of the study, PM2.5 level reaches the maximum value of 65 µg/m3 with the average value of 39.36 µg/m3 on July 8, 2018. This is an alarming rate given that the indoor average level threshold of PM2.5 by WHO is 25 µg/m3.
Y.-F. Xing, M.-H. Shi, Y.-H. Xu and Y.-X. Lian, "The impact of PM2.5 on the human respiratory system," Journal of Thoracic Disease, vol. 8, no. 1, pp. E69-E74, 2016.
F. Schulze, X. Gao, D. Virzonis, S. Damiati, M. R. Schneider and R. Kodzius, "Air Quality Effects on Human Health and Approaches for Its Assessment through Microfluidic Chips," Genes, vol. 8, no. 10, p. 244, 2017.
A. W. Correia, C. A. Pope, D. W. Dockery, Y. Wang, M. Ezzati and F. Dominici, "Effect of air pollution control on life expectancy in the United States: an analysis of 545 U.S. counties for the period from 2000 to 2007," Epidemiology, vol. 24, no. 1, pp. 23-31, 2013.
H. Handoni, "Jakarta "Krisis Alat Pemantau Kualitas Udara?"," BBC, 2 March 2017. [Online]. Available: http://bbc.com/indonesia/majalah-39137710. [Accessed 20 6 2018].
A. Zwoździak, I. Sówka, A. Worobiec, J. Zwoździak and A. Nych, "The contribution of outdoor particulate matter (PM1, PM2.5, PM10) to school indoor environment," Indoor and Built Environment, vol. 24, no. 8, pp. 1038 - 1047, 2014.
K. Azhar, I. Dharmayanti and I. Mufida, "The Indoor Average Level of PM2,5 and ARI Among Children Under Five in Kelurahan Kayuringin," Media Litbangkes, vol. 26, no. 1, pp. 45-52, 2016.
World Health Organization, "WHO Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide," 2006.
Kementrian Kesehatan, "Permenkes RI No.1077/Menkes/Per/V/2011 tentang Pedoman penyehatan udara dalam ruang rumah," Kementerian Kesehatan, Jakarta, 2011.
World Air Quality, "Real-time Air Quality Index (AQI)," 2016. [Online]. Available: http://aqicn.org. [Accessed 15 July 2018].
D. Marquez-Viloria, J. S. Botero-Valencia and J. Villegas-Ceballos, "A low cost georeferenced air-pollution measurement system used as early warning tool," in 2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA), Bucaramanga, Colombia, 2016.
K. Bickerstaff and G. Walker, "Public Understandings of Air Pollution: The "Localization” of Environmental Risk," Global Environ Change, vol. 11, pp. 133-145, 2001.
S. Vijaykumar, Y. Jin and G. Nowak, "Social Media and the Virality of Risk: The Risk Amplification through Media Spread (RAMS) Model," Journal of Homeland Security and Emergency Management, vol. 12, p. 653–677, 2015.
X. Liu, H. Zhu, Y. Hu, S. Feng, Y. Chu, Y. Wu, C. Wang, Y. Zhang, Z. Yuan and Y. Lu, "Public's Health Risk Awareness on Urban Air Pollution in Chinese Megacities: The Cases of Shanghai, Wuhan and Nanchang," International Journal of Environmental Research and Public Health, vol. 13, no. 9, p. 845, 2016.
Laura, "Open Data & Air Pollution: A Powerful Tool in the Struggle for Cleaner Air," 14 March 2017. [Online]. Available: https://www.opendatasoft.com/2017/03/14/open-data-air-pollution-a-powerful-tool-in-the-struggle-for-cleaner-air/. [Accessed 11 July 2018].
E. O'Neill, "Clearing The Air," 20 May 2016. [Online]. Available: http://brokentoilets.org/article/clearing-the-air/. [Accessed 10 July 2018].
N. Calvillo, "In The Air," [Online]. Available: http://intheair.es/. [Accessed 10 July 2018].
L.-J. Chen, Y. H. Ho, H. C. Lee, H. C. Wu, H. M. Liu, H. H. Hsieh, Y. T. Huang and S. C. C. Lung, "An Open Framework for Participatory PM2.5 Monitoring in Smart Cities," IEEE Access, vol. 5, pp. 14441 - 14454, 2017.
LASS Community / Academia Sinica, "PM2.5 Open Data Portal," 2018. [Online]. Available: https://pm25.lass-net.org/data/history.php?device_id=74DA38B05372. [Accessed 15 July 2018].
Google Developers, "Google Charts," 23 February 2017. [Online]. Available: https://developers.google.com/chart/interactive/docs/. [Accessed 11 July 2018].
Airbox, "Airbox Edimax Cloud," 2018. [Online]. Available: https://airbox.edimaxcloud.com/. [Accessed 15 July 2018].
Authors who publish with this journal agree to the following terms:
All accepted papers will be published under a Creative Commons Attribution 4.0 International (CC BY 4.0) License. Authors retain copyright and grant the journal right of first publication. CC-BY Licenced means lets others to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material for any purpose, even commercially).
