In the Philippines, air pollution is a serious environmental issue that calls for the creation of efficient air quality monitoring systems for source-receptor analyses. This paper describes the creation of a system for monitoring air quality that was created with this objective in mind. The system uses a variety of sensors to assess important air contaminants and includes low-cost IoT-based data gathering technologies. In order to facilitate source-receptor analysis, it also uses data processing and analytic methods.
The analysis of linked literature demonstrates the importance of IoT-based, crowd-sourced, and low-cost air quality data gathering systems in expanding air quality monitoring capabilities. As crucial approaches for comprehending pollution patterns and causes, spatiotemporal analysis of air pollution data and receptor modeling of particulate matter are addressed. Furthermore, the comparison of fuel economy estimates from various approaches highlights the need of precise and trustworthy data for the assessment of policy and the development of mitigation measures.
The methodology section gives a summary of the planned air quality monitoring system and describes the sensors, hardware, and data collecting methods that will be used. Also provided are the data processing and analysis methods used for source-receptor analysis.
The designed air quality monitoring system’s performance assessment is shown in the findings and discussion section, indicating its capacity to offer real-time monitoring of significant air contaminants. Additionally, the part contains a thorough source-receptor analysis utilizing the data gathered, demonstrating the system’s efficiency in locating pollution sources and trends.
The summary of the developed air quality monitoring system’s contributions to source-receptor analysis in the Philippines is provided in the conclusion. It shows the system’s potential uses in community awareness, policy evaluation, health impact assessment, and urban planning. Future paths for study are also recommended, including sensor calibration, network extension, integration of extra parameters, sophisticated data processing methods, and cooperation for data sharing.
Overall, this study provides a thorough framework for the creation of an air quality monitoring system and emphasizes the need of doing so in order to comprehend and resolve air pollution problems in the Philippines.