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Development of Vertical Profiling of Air Pollution Monitoring System

EasyChair Preprint no. 10755

14 pagesDate: August 21, 2023


This paper presents the development of a vertical profiling air pollution monitoring system utilizing Unmanned Aerial Vehicles (UAVs), air quality sensors and a real-time monitoring system. The air quality sensor incorporates the Arduino UNO R3 board programmed by Arduino Mega, along with other essential components. These include the HPMA115S0 particulate matter sensor, ATH20 temperature and humidity sensor, BPM180 barometric pressure sensor, GPRS Module model SIM800L for data transmission, RTC DS3231 for timekeeping and synchronization, and an SD card slot for data retention. The integration of these technologies enables comprehensive and dynamic assessments of dust (PM2.5 and PM10) concentrations and meteorological parameters (humidity and temperature) at different altitudes (0-120 m). This study leverages the use of two handheld air quality detectors, the data from the Department of Environment, and the nearby stationary sensor of AiRBOX Sense within the area of UiTM for data comparison and field co-location. The obtained results demonstrate promising potential, as a comparison between the collected data and the reliable data from the three sources revealed a fair similarity. Holistically, the system empowers accurate data collection, analysis, and management, contributing to improved understanding and mitigation of air pollution.

Keyphrases: air monitoring, air pollution, air quality, particulate matter, Quadcopter, vertical profile

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Sayidah Musfirah Kamarul Shukri and Arnis Asmat and Mohd Hezri Fazalul Rahiman and Ahmad Zia Ul-Saufie Mohamad Japeri and Zulhilmy Sahwee},
  title = {Development of Vertical Profiling of Air Pollution Monitoring System},
  howpublished = {EasyChair Preprint no. 10755},

  year = {EasyChair, 2023}}
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