Air Quality Monitoring Systems with Multiple Data Sources for Ho Chi Minh City

Pham-Quoc, Cuong and Thinh, Tran Ngoc and Le, Trong Nhan and Vu, Phan Hien and Le, Tan Long and Hoang, Kha Huynh (2021) Air Quality Monitoring Systems with Multiple Data Sources for Ho Chi Minh City. EAI Endorsed Transactions on Context-aware Systems and Applications. e3. ISSN 2409-0026

[thumbnail of eai.2-11-2020.2305042.pdf]
Available under License Creative Commons Attribution No Derivatives.

Download (477kB) | Preview


In this paper, we present our proposed air quality monitoring system with multiple data sources for smart cities. We deploy our system in one of the biggest cities in Vietnam, Ho Chi Minh City. The proposed system uses data collected by our sensors and extracted from remote sensing images. The system also allows users to contribute by provide alerts through a portal. With data collected from sensors, we can provide exact values of fundamental parameters for calculating air quality index (AQI) while data extracted from remote sensing images help governors estimate the AQI values in surrounding areas without sensors deployed. This estimation although cannot provide exact information as sensors, it helps us to quickly understand AQI in an extremely large area with low cost. Along with these data sources, notifications from users also allow governors to react unawareness problems faster. Experimental results show the error (difference) between our systems and commercial devices is less than 24% for sensoring system and less than 9% for remote sensing images estimation. The sensoring system presented in this paper is low-energy consumption when using only 900mW in average.

Item Type: Article
Uncontrolled Keywords: Air quality index, air pollution, smart city, fine particulate matter, remote sensing images
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 15 Jul 2021 11:32
Last Modified: 15 Jul 2021 11:32

Actions (login required)

View Item
View Item