CIVIL AIR QUALITY MONITORING AS AN ALTERNATIVE AND SUPPLEMENT TO THE NATIONAL AIR QUALITY MONITORING NETWORK

被引:0
作者
Bozilov, Aca V. [1 ]
Tasic, Visa M. [2 ]
Misic, Nikola Z. [1 ]
Lazovic, Ivan M. [3 ]
Topalovic, Dusan B. [3 ]
Zivkovic, Nenad, V [1 ]
Mirkov, Nikola S. [3 ]
机构
[1] Univ Nis, Fac Occupat Safety, Nish, Serbia
[2] Min & Met Inst, Bor, Serbia
[3] Univ Belgrade, Vinca Inst Nucl Sci, Natl Inst Republ Serbia, Belgrade, Serbia
来源
THERMAL SCIENCE | 2023年 / 27卷 / 3B期
关键词
air quality; monitoring; low-cost; particulate matter; PMS7003; sensors; PERFORMANCE; SENSOR; PM2.5;
D O I
10.2298/TSCI220303103B
中图分类号
O414.1 [热力学];
学科分类号
摘要
The European initiatives for citizens' inclusion in the air quality monitoring pro-cess have impacted the participants' knowledge, and attitudes towards air pollution and have led to a higher sense of community toward activities and measures against air pollution. In the Republic of Serbia, an experiment with self-made sensor kits "Klimerko - Air to the Citizens" started in 2018. In this paper, we have presented the level of agreement of the particulate matter (PM) readings from selected Klimerko devices to the PM readings of the reference equivalent PM monitors from the National Air Quality Monitoring Network in the cities of Bor and Belgrade. The Klimerko devices that we tested showed excellent stability and reliability during the comparison period. The conclusion of our investigation is that the properly calibrated Klimerko devices could be applied for indicative measurements of PM mass concentrations in the ambient air.
引用
收藏
页码:2255 / 2263
页数:9
相关论文
共 50 条
  • [41] An Embedded System Model for Air Quality Monitoring
    Jangid, Sneha
    Sharma, Sandeep
    PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT, 2016, : 3003 - 3008
  • [42] Data Analytics for Home Air Quality Monitoring
    Mihaylova, Petya
    Manolova, Agata
    Georgieva, Petia
    FUTURE ACCESS ENABLERS FOR UBIQUITOUS AND INTELLIGENT INFRASTRUCTURES, FABULOUS 2019, 2019, 283 : 79 - 88
  • [43] Plasmonic foam platforms for air quality monitoring
    Becerril-Castro, I. Brian
    Munoz-Munoz, Franklin
    Castro-Cesena, Ana B.
    Gonzalez, Ana L.
    Alvarez-Puebla, Ramon A.
    Romo-Herrera, Jose M.
    NANOSCALE, 2021, 13 (03) : 1738 - 1744
  • [44] Specific approach for continuous air quality monitoring
    Zivkovic, Predrag M.
    Tomic, Mladen A.
    Ilic, Gradimir S.
    Vukic, Mica V.
    Stevanovic, Zana Z.
    HEMIJSKA INDUSTRIJA, 2012, 66 (01) : 85 - 93
  • [45] Machine Learning Methods for Air Quality Monitoring
    Zaytar, Mohamed Akram
    El Amrani, Chaker
    3RD INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEM & SECURITY (NISS'20), 2020,
  • [46] Monitoring and Predicting Air Quality with IoT Devices
    Banciu, Claudia
    Florea, Adrian
    Bogdan, Razvan
    PROCESSES, 2024, 12 (09)
  • [47] Air Quality Monitoring System Based on LabVIEW
    Wang, Hai-bao
    Wu, Ting-ting
    Wu, Guang-jie
    MANUFACTURING SYSTEMS ENGINEERING, 2012, 429 : 210 - +
  • [48] Air Quality Monitoring System Based on LabVIEW
    Wang, Hai-bao
    Wu, Ting-ting
    Wu, Guang-jie
    2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II, 2010, : 514 - 517
  • [49] Use of Association Algorithms in Air Quality Monitoring
    Soares, Paulo Henrique
    Monteiro, Johny Paulo
    Gaioto, Fernando Jose
    Ogiboski, Luciano
    Andrade, Cid Marcos Goncalves
    ATMOSPHERE, 2023, 14 (04)
  • [50] State of the art review on air quality monitoring
    Dziadak, Bogdan
    Josko, Adam
    Makowski, Lukasz
    Michalski, Andrzej
    Watral, Zbigniew
    PRZEGLAD ELEKTROTECHNICZNY, 2022, 98 (07): : 1 - 10