Real-time Vertical Air Quality Monitoring System Development for Urban Scale

Developing air pollution monitoring systems utilizing Unmanned Aerial Vehicles (UAVs) and a real-time platform is a significant advancement in environmental monitoring. The paper described a system incorporating multiple sensors, including particulate matter, temperature and humidity sensors, and a barometric pressure sensor to assess air quality parameters using UAVs at different altitudes. The system monitors air quality parameters from 0 to 120 meters at various altitudes. This vertical profiling capability provides a more detailed understanding of air quality variations in the vertical dimension, which is crucial for identifying pollution sources and patterns. The system leverages the Internet of Things (IoT) platform for real-time data collection, transmission, and analysis. The study suggests that the developed system could serve as an alternative for particulate matter monitoring at an urban scale. Combining UAVs, air quality sensors, and IoT technologies offers a comprehensive and dynamic approach to air quality monitoring in urban environments.

Institutions

Publication Details

Journal
International Journal of Geoinformatics
Published
2024-08-30
DOI
https://doi.org/10.52939/ijg.v20i8.3463
Citations
2
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.41

Funders

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article

Real-time Vertical Air Quality Monitoring System Development for Urban Scale

2 citations
International Journal of Geoinformatics
Air Quality Monitoring and Forecasting
0.41
article

Real-time Vertical Air Quality Monitoring System Development for Urban Scale

article en
2 citations

Abstract

Developing air pollution monitoring systems utilizing Unmanned Aerial Vehicles (UAVs) and a real-time platform is a significant advancement in environmental monitoring. The paper described a system incorporating multiple sensors, including particulate matter, temperature and humidity sensors, and a barometric pressure sensor to assess air quality parameters using UAVs at different altitudes. The system monitors air quality parameters from 0 to 120 meters at various altitudes. This vertical profiling capability provides a more detailed understanding of air quality variations in the vertical dimension, which is crucial for identifying pollution sources and patterns. The system leverages the Internet of Things (IoT) platform for real-time data collection, transmission, and analysis. The study suggests that the developed system could serve as an alternative for particulate matter monitoring at an urban scale. Combining UAVs, air quality sensors, and IoT technologies offers a comprehensive and dynamic approach to air quality monitoring in urban environments.

International Journal of Geoinformatics
Universiti Teknologi MARA System (MY), Malaysia University of Science and Technology (MY), Universiti Teknologi MARA (MY)
Universiti Teknologi MARA
Sustainable cities and communities
Openalex Percentile: Top 42%
Air Quality Monitoring and Forecasting
0.41
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