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Related Experiment Video

Updated: Oct 30, 2025

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Measurement of Air Pollution Parameters in Montenegro Using the Ecomar System.

Nikola Zaric1, Velibor Spalevic2,3, Nikola Bulatovic1

  • 1Faculty of Electrical Engineering, University of Montenegro, Cetinjski Put bb, 81000 Podgorica, Montenegro.

International Journal of Environmental Research and Public Health
|July 2, 2021
PubMed
Summary

This study validates the Ecomar system for monitoring particulate matter (PM10 and PM2.5) air pollution. The low-cost sensor system offers reliable, precise, and stable real-time data, crucial for expanding air quality monitoring networks.

Keywords:
Internet of ThingsPM particlesair measurementsair pollutionair qualitysensors

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Area of Science:

  • Environmental Science
  • Air Quality Monitoring
  • Sensor Technology

Background:

  • Particulate matter (PM) air pollution is a significant global health concern, linked to numerous diseases.
  • Current air quality monitoring networks, especially in Europe, have limited spatial coverage for PM10 and PM2.5.
  • There is a critical need for accessible, real-time air pollution data, particularly in urban environments.

Purpose of the Study:

  • To evaluate the performance and reliability of a self-developed low-cost sensor system, Ecomar, for monitoring particulate matter (PM10 and PM2.5).
  • To assess the feasibility of deploying dense networks of low-cost sensors for improved air quality surveillance.
  • To highlight the necessity for increased spatial distribution of air pollution measurement locations.

Main Methods:

  • On-field measurements of PM10 and PM2.5 were conducted using three Ecomar systems over 1107 days across seven locations in two Montenegrin cities.
  • The Ecomar system's performance was validated against official automated measuring stations over 610 days.
  • Data analysis focused on reliability, measurement precision (NRMSE), data validity, and operating stability.

Main Results:

  • The Ecomar system demonstrated satisfying reliability and measurement precision, with NRMSE values of 0.33 for PM10 and 0.44 for PM2.5.
  • High data validity (94.13%) and operating stability were recorded for the Ecomar system compared to official stations (95.63%).
  • Measurements at diverse urban and rural locations underscored the need for denser air quality monitoring networks.

Conclusions:

  • The Ecomar system is a reliable and precise tool for particulate matter air pollution monitoring.
  • Low-cost sensor networks, like the one proposed using Ecomar, can significantly enhance spatial coverage and real-time data availability for air quality management.
  • The findings support the expansion of dense, low-cost sensor-based air quality monitoring in regions like the Balkan region.