Faculty of Electrical Engineering, University of Montenegro, Cetinjski Put bb, 81000 Podgorica, Montenegro.
Department of Soils, Biotechnical Faculty, University of Montenegro, Mihala Lalaica 1, 81000 Podgorica, Montenegro.
Int J Environ Res Public Health. 2021 Jun 18;18(12):6565. doi: 10.3390/ijerph18126565.
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.
颗粒物空气污染是当今最危险的污染物之一，也是许多疾病的间接原因。如果大量地点（尤其是城市地区）都能获得有关空气污染的正确信息，就有可能避免许多这些后果。不幸的是，如今并非如此。在整个欧洲，只有大约 3000 个用于 PM10 的自动测量站，只有大约 1400 个配备 PM2.5 测量的站点。为了改善这一问题并提供有关空气污染的实时数据，无论是在现场还是在实验室研究中，都在考虑使用不同的低成本基于传感器的解决方案。在本文中，我们将展示使用自行开发的 Ecomar 系统进行 PM 粒子监测的结果。在黑山的两个城市的七个不同地点，在多个时期进行了测量。总共在 1107 天的现场测量中使用了三个 Ecomar 系统。在两个靠近官方自动测量站的地点进行的测量，在 610 天内证明了 Ecomar 系统在可靠性和测量精度方面的性能令人满意（PM10 的 NRMSE 为 0.33，PM2.5 的 NRMSE 为 0.44），并且在数据有效性和运行稳定性方面非常高（Ecomar 为 94.13％-AMS 为 95.63％）。此外，还利用五个具有不同交通、绿地和附近工业物体的偏远城市/农村地点，突出了需要更密集的测量地点空间分布。据我们所知，这是在巴尔干地区进行的现场测试持续时间最长的基于低成本传感器的空气质量测量系统的最广泛研究。
