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Measurement of Air Pollution Parameters in Montenegro Using the Ecomar System

Author

Listed:
  • Nikola Zaric

    (Faculty of Electrical Engineering, University of Montenegro, Cetinjski Put bb, 81000 Podgorica, Montenegro)

  • Velibor Spalevic

    (Department of Soils, Biotechnical Faculty, University of Montenegro, Mihala Lalaica 1, 81000 Podgorica, Montenegro
    Department of Geography, Faculty of Philosophy, University of Montenegro, D. Bojovica bb, 81400 Niksic, Montenegro)

  • Nikola Bulatovic

    (Faculty of Electrical Engineering, University of Montenegro, Cetinjski Put bb, 81000 Podgorica, Montenegro)

  • Nikola Pavlicevic

    (ZTE Corporation, Technical Support Office in Montenegro, 81000 Podgorica, Montenegro)

  • Branislav Dudic

    (Faculty of Management, Comenius University in Bratislava, 82005 Bratislava, Slovakia
    Faculty of Economics and Engineering Management, University Business Academy, 21000 Novi Sad, Serbia)

Abstract

Particulate matter air pollution is one of the most dangerous pollutants nowadays and an indirect cause of numerous diseases. A number of these consequences could possibly be avoided if the right information about air pollution were available at a large number of locations, especially in urban areas. Unfortunately, this is not the case today. In the whole of Europe, there are just approximately 3000 automated measuring stations for PM10, and only about 1400 stations equipped for PM2.5 measurement. In order to improve this issue and provide availability of real-time data about air pollution, different low-cost sensor-based solutions are being considered both on-field and in laboratory research. In this paper, we will present the results of PM particle monitoring using a self-developed Ecomar system. Measurements are performed in two cities in Montenegro, at seven different locations during several periods. In total, three Ecomar systems were used during 1107 days of on-field measurements. Measurements performed at two locations near official automated measuring stations during 610 days justified that the Ecomar system performance is satisfying in terms of reliability and measurement precision (NRMSE 0.33 for PM10 and 0.44 for PM2.5) and very high in terms of data validity and operating stability (Ecomar 94.13%–AMS 95.63%). Additionally, five distant urban/rural locations with different traffic, green areas, and nearby industrial objects were utilized to highlight the need for more dense spatial distributions of measuring locations. To our knowledge, this is the most extensive study of low-cost sensor-based air quality measurement systems in terms of the duration of the on-field tests in the Balkan region.

Suggested Citation

  • Nikola Zaric & Velibor Spalevic & Nikola Bulatovic & Nikola Pavlicevic & Branislav Dudic, 2021. "Measurement of Air Pollution Parameters in Montenegro Using the Ecomar System," IJERPH, MDPI, vol. 18(12), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6565-:d:577330
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    References listed on IDEAS

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    1. Megan L. Benka-Coker & Maggie L. Clark & Sarah Rajkumar & Bonnie N. Young & Annette M. Bachand & John R. Balmes & Robert Brook & Tracy L. Nelson & John Volckens & Steve J. Reynolds & Ander Wilson & Ch, 2018. "Exposure to Household Air Pollution from Biomass Cookstoves and Levels of Fractional Exhaled Nitric Oxide (FeNO) among Honduran Women," IJERPH, MDPI, vol. 15(11), pages 1-16, November.
    2. Hang Qiu & Kun Tan & Feiyu Long & Liya Wang & Haiyan Yu & Ren Deng & Hu Long & Yanlong Zhang & Jingping Pan, 2018. "The Burden of COPD Morbidity Attributable to the Interaction between Ambient Air Pollution and Temperature in Chengdu, China," IJERPH, MDPI, vol. 15(3), pages 1-15, March.
    3. Delan Devakumar & Zeshan Qureshi & Jenevieve Mannell & Manju Baruwal & Neha Sharma & Eva Rehfuess & Naomi M. Saville & Dharma S. Manandhar & David Osrin, 2018. "Women’s Ideas about the Health Effects of Household Air Pollution, Developed through Focus Group Discussions and Artwork in Southern Nepal," IJERPH, MDPI, vol. 15(2), pages 1-13, February.
    4. Sergio Trilles & Ana Belen Vicente & Pablo Juan & Francisco Ramos & Sergi Meseguer & Laura Serra, 2019. "Reliability Validation of a Low-Cost Particulate Matter IoT Sensor in Indoor and Outdoor Environments Using a Reference Sampler," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
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    Cited by:

    1. Cichowicz, Robert & Dobrzański, Maciej, 2022. "3D spatial dispersion of particulate matter and gaseous pollutants on a university campus in the center of an urban agglomeration," Energy, Elsevier, vol. 259(C).
    2. Michał Zacharko & Robert Cichowicz & Adam Depta & Paweł Chmura & Marek Konefał, 2022. "High Levels of PM10 Reduce the Physical Activity of Professional Soccer Players," IJERPH, MDPI, vol. 20(1), pages 1-9, December.
    3. Jun Liu & Shuang Lai & Ayesha Akram Rai & Abual Hassan & Ray Tahir Mushtaq, 2023. "Exploring the Potential of Big Data Analytics in Urban Epidemiology Control: A Comprehensive Study Using CiteSpace," IJERPH, MDPI, vol. 20(5), pages 1-24, February.

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