A Comprehensive Review of Air Quality Monitoring Systems
Keywords:
Air Quality Index (AQI), API integration, Atmospheric data analysis, Cloud-based monitoring, Dynamic dashboards, Environmental data visualization, Public health informatics, Real-time data monitoring, Smart city applications, Weather analyticsAbstract
In light of the growing effects of climate change and urban air pollution on public health, there is a higher demand for accessible, real-time environmental data. This study shares the results of a survey carried out among urban residents, environmental experts, and policy makers to evaluate the need, usability, and effectiveness of a real-time weather and air quality monitoring system. The proposed system combines data from reliable meteorological and environmental sources using RESTful APIs. It captures parameters like temperature, humidity, pressure, and pollutant levels (PM2.5, PM10, etc.). Respondents stressed the need for timely, accurate, and understandable environmental data for informed decision-making. This is especially important in urban planning, healthcare, and environmental management. The system was built with a scalable cloud-based backend and a web-based dashboard. It offers real-time visualization, historical trend analysis, and geospatial analytics through an easy-to-use graphical interface. Survey results showed high user satisfaction with the interface's simplicity and the clarity of the visual data. Over 85% of respondents believed that the platform could greatly improve public awareness and policy responses. The findings support the system’s ability to connect complex environmental data with public understanding. This research highlights the essential role of accessible environmental information in creating sustainable and health-oriented communities.
References
T. Geller, “Envisioning the Wind: Meteorology Graphics at Weather Underground,” IEEE Computer Graphics and Applications, vol. 27, no. 5, pp. 92–97, Sep. 2007, doi: https://doi.org/10.1109/mcg.2007.124.
R. Ramachandran, S. Sreelakshmi, D. Sivasree, T. Prem Raj, and T. Pranav, “Health Weather App,” 2021 2nd Global Conference for Advancement in Technology (GCAT), Oct. 2021, doi: https://doi.org/10.1109/gcat52182.2021.9587785.
J. Raychev, D. Kinaneva, G. Hristov, P. Zahariev, and G. Staevska, “Investigating the Possibilities of Integrating Cloud Weather Data into Existing Applications,” In2019 27th National Conference with International Participation (TELECOM), pp. 46–49, Oct. 2019, doi: https://doi.org/10.1109/telecom48729.2019.8994887.
A. Villar-Martinez, L. Rodriguez-Gil, I. Angulo, P. Orduna, J. Garcia-Zubia, and D. Lopez-De-Ipina, “Improving the Scalability and Replicability of Embedded Systems Remote Laboratories Through a Cost-Effective Architecture,” IEEE Access, vol. 7, pp. 164164–164185, 2019, doi: https://doi.org/10.1109/access.2019.2952321.
S. Chadha, N. Gupta, and R. Chauhan, “Development of Weather Forecast Application using API,” 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N), pp. 653–658, Dec. 2024, doi: https://doi.org/10.1109/icac2n63387.2024.10895829.
A. K. Das and S. Ghosh, “Development and Evaluation of a User-Friendly and Lightweight Weather Map Application: Enhancing Access to Real-Time Meteorological Data,” 2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech), pp. 1–4, Dec. 2023, doi: https://doi.org/10.1109/iementech60402.2023.10423443.
N. R. Zhu, N. Y. Liu, N. H. Jiang, and N. Z. Yin, “Visualization of weather-induced disaster warning information system using Google Earth API based on Mashup,” In2011 International Conference on Multimedia Technology, pp. 3789–3793, Jul. 2011, doi: https://doi.org/10.1109/icmt.2011.6002715.
K. Alnavar, R. U. Kumar, and C. N. Babu, “Document Parsing Tool for Language Translation and Web Crawling using Django REST Framework,” Journal of Physics: Conference Series, vol. 1962, no. 1, p. 012018, Jul. 2021, doi: https://doi.org/10.1088/1742-6596/1962/1/012018.
H. Feng and H. Fan, “3D weather simulation on 3D virtual earth,” In2012 IEEE International Geoscience and Remote Sensing Symposium, pp. 543–545, Jul. 2012, doi: https://doi.org/10.1109/igarss.2012.6351536.
K. Routh and T. Pal, “A survey on technological, business and societal aspects of Internet of Things by Q3, 2017,” 2018 3rd International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Feb. 2018, doi: https://doi.org/10.1109/iot-siu.2018.8519898
