Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region DOI Creative Commons
Václav Nevrlý, Michal Dostál, Petr Bitala

и другие.

Atmosphere, Год журнала: 2024, Номер 15(11), С. 1326 - 1326

Опубликована: Ноя. 3, 2024

Air pollution monitoring in industrial regions like Moravia-Silesia faces challenges due to complex environmental conditions. Low-cost sensors offer a promising, cost-effective alternative for supplementing data from regulatory-grade air quality stations. This study evaluates the accuracy and reliability of prototype node containing low-cost carbon monoxide (CO) particulate matter (PM), specifically tailored local conditions Moravian-Silesian Region during winter spring periods. An analysis reference observed evaluation period showed strong positive correlation between PM, CO, NO2 concentrations, attributable common sources under low ambient temperature increased heating activity. The Sensirion SPS30 sensor exhibited high linearity but systematic bias PM10 readings Polish smog episodes, likely fine particles domestic heating. Conversely, Saharan dust storm negative bias, underestimating levels prevalence coarse particles. Calibration adjustments, based on PM1/PM10 ratio derived Alphasense OPC-N3 data, were initially explored reduce these biases. For first time, this quantifies influence particle size distribution sensor’s response episodes varying origin, given seasonal In addition evaluation, we analyzed potential use Copernicus Atmospheric Monitoring Service (CAMS) as an increasing complexity. Our findings suggest that, with appropriate calibration, selected can provide reliable may also be used future adjustments CAMS model predictions.

Язык: Английский

Identification of Causes of Air Pollution in the Specific Industrial Part of the Czech City of Ostrava in Central Europe DOI Open Access
Vladimíra Volná, Radim Seibert, Daniel Hladký

и другие.

Опубликована: Янв. 4, 2024

This contribution deals with the assessment of air pollution caused by atmospheric aerosol particulate matter fraction PM10 and benzo[a]pyrene (BaP) in urban agglomeration Ostrava, located Czech Republic Central Europe. The motivation for this research was need to identify sources area, particularly locations where different concentrations pollutants concern has not been elucidated yet. In study, source apportionment vicinity industrial hot-spot performed statistically evaluating measured pollutant as a function meteorological variables using Positive Matrix Factorization (PMF) receptor model. A significant methodological innovation improvement over previous assessments higher monitoring resolution benzo[a]pyrene, samples collected at three-hour intervals instead standard 24-hour collection period. key findings indicate that cold part year, secondary particles - specifically sulphates ammonium nitrates were responsible most portion throughout area interest. these ranged from one third two fifths total concentration, except site Ostrava-Radvanice (TORE), they accounted approximately fifth concentration level. Emissions individual household heating identified main type pollution. With regards pollution, study found whole interest, site, it mainly originated coal (90%). contrast, two-thirds came premises Liberty Ostrava a.s., primarily coke production, less than one-third local domestic heating. also determined spatial extent occurrence extremely high (above 5 ng/m3), which are estimated affect nearly 10,000 inhabitants. results confirm data TORE station only representative its immediate surroundings applicable quality causes city or whole. After years research, provide Ministry Environment government an accurate basis implementing measures address success made possible adoption more detailed sampling approach, involved 3 hours 24 hours. is finding will be useful future studies.

Язык: Английский

Процитировано

2

Varying Performance of Low-Cost Sensors During Seasonal Smog Events in Moravian-Silesian Region DOI Creative Commons
Václav Nevrlý, Michal Dostál, Petr Bitala

и другие.

Atmosphere, Год журнала: 2024, Номер 15(11), С. 1326 - 1326

Опубликована: Ноя. 3, 2024

Air pollution monitoring in industrial regions like Moravia-Silesia faces challenges due to complex environmental conditions. Low-cost sensors offer a promising, cost-effective alternative for supplementing data from regulatory-grade air quality stations. This study evaluates the accuracy and reliability of prototype node containing low-cost carbon monoxide (CO) particulate matter (PM), specifically tailored local conditions Moravian-Silesian Region during winter spring periods. An analysis reference observed evaluation period showed strong positive correlation between PM, CO, NO2 concentrations, attributable common sources under low ambient temperature increased heating activity. The Sensirion SPS30 sensor exhibited high linearity but systematic bias PM10 readings Polish smog episodes, likely fine particles domestic heating. Conversely, Saharan dust storm negative bias, underestimating levels prevalence coarse particles. Calibration adjustments, based on PM1/PM10 ratio derived Alphasense OPC-N3 data, were initially explored reduce these biases. For first time, this quantifies influence particle size distribution sensor’s response episodes varying origin, given seasonal In addition evaluation, we analyzed potential use Copernicus Atmospheric Monitoring Service (CAMS) as an increasing complexity. Our findings suggest that, with appropriate calibration, selected can provide reliable may also be used future adjustments CAMS model predictions.

Язык: Английский

Процитировано

0