The influence of meteorological factors and terrain on air pollution concentration and migration: a geostatistical case study from Krakow, Poland

Danek, Tomasz; Węglińska, Elżbieta; Zaręba, Mateusz

doi:10.1038/s41598-022-15160-3

Cited by 39 publications

(23 citation statements)

References 50 publications

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“…In the analysis we have also considered the changes in meteorological parameters, well known to in uence the PM 10 concentration in ambient air, since the main functionality of our mobile monitoring system was to determine the hot spot occurrence in the villages and cities surrounding Krakow. Danek et al 20 for instance indicate that the probability of "low" emission (explained earlier as emission up to 40 m high, derived mainly from domestic households and car tra c) rises when the ambient air temperature is close or less than 0°C; air humidity is above 70%; and the wind speed is low. Moreover, during long term research carried out by KAS, it was concluded that the "low" emissions is directly correlated with the hours of human activity in the place of residence, that is in the morning (approx.…”

Section: Resultsmentioning

confidence: 99%

A mobile car monitoring system as a supplementary tool for air quality monitoring in urban and rural environments. The case study from Poland

Maslouski

Jarosz‐Krzemińska

Jagoda³

et al. 2023

Preprint

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Living in healthy environment should be regarded as a primary human right and not a privilege rendered to chosen ones. For that reason, a national air monitoring grid should be as extensive as possible. Unfortunately, small towns and villages, which are also exposed to air pollution episodes are not commonly covered by monitoring grid. Fixed air monitoring systems have their limitations, which can be overcome by e.g., properly validated, reliable but cheaper mobile monitoring systems. The aim of this study was to assess the use of a car mobile PM10 monitoring system to study ambient air quality in rural communities surrounding Kraków, not covered by fixed monitoring grid. A monitoring dataset was collected during 6 winter car campaigns conducted between December 2021 and March 2022. Except for providing multiple monitoring data, the main goal pertain to methodological aspect of the mobile system, including its validation, indicating its advantages, limitations as well as providing recommendations for the future mobile studies. Our car mobile monitoring system was useful in identifying a local hot-spots with good spatial and temporal resolution, thus giving the local government decision-making tool for taking appropriate action in places not included in national monitoring grid.

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Section: Resultsmentioning

confidence: 99%

A mobile car monitoring system as a supplementary tool for air quality monitoring in urban and rural environments. The case study from Poland

Maslouski

Jarosz‐Krzemińska

Jagoda³

et al. 2023

Preprint

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“…Local meteorology (PBL height, temperature, RH, and wind speed and direction) and topography influence the concentration and dispersion of PM 2.5 [64]. A study found that a small difference in wind speed (as small as one to two meters per second) between areas is associated with a reduced concentration of pollution [65]. Wind speed might be one of the reasons for the higher PM 2.5 in the Gambela, Benishangul-Gumuz, Amhara, and Tigray regions considering the lower wind speed in these regions relative to the other areas.…”

Section: Discussionmentioning

confidence: 99%

The spatial and temporal variation of fine particulate matter pollution in Ethiopia: Data from the Atmospheric Composition Analysis Group (1998–2019)

Shiferaw

Kumie²,

Tefera³

2023

PLoS ONE

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Background Evidence suggests ambient fine particulate matter (PM2.5) is a risk factor for cardiovascular diseases, lung cancer morbidity and mortality, and all-cause mortality. Countries that implement strong policies are able to reduce ambient PM2.5 concentration. In Ethiopia, however, PM2.5 monitoring stations, laboratory technicians, and equipment are staggeringly limited. In this study, the spatial and temporal variation of PM2.5 in Ethiopia was assessed. Methods Satellite-based PM2.5 estimates, from the year 1998 to 2019, by Atmospheric Composition Analysis Group (ACAG) at a spatial resolution of 0.01° X 0.01° was used. The annual mean PM2.5 concentration for all administrative regions and zones in Ethiopia was extracted. The average mean from the twenty-two years was also calculated. The trend of PM2.5 concentration was graphed and quantitatively calculated using the Mann-Kendall test. The slope of the change over time was estimated using the Theil-Sen slope. At the zonal administration level, for the average annual mean, spatial dependency using univariate Global Moran’s I and clustering and outlier tests using Anselin Local Moran’s were performed. Results The country’s average annual mean PM2.5 concentration was 17 μgm-3. The Afar region had the highest concentration, 27.9 μgm-3. The Mann-Kendall S was positive and significant at p<0.001. The spatial distribution of satellite-based ambient PM2.5 concentration was non-random. Significant highest value clustering of ambient total PM2.5 concentration exists in the Afar, Eastern Tigray, and Eastern and Southeastern Amhara while the significant lowest value dispersing was observed in the Southern Oromia and Somali region. Conclusion At the national and regional levels, the annual mean ambient PM2.5 concentration is beyond the World Health Organization (WHO)-recommended level. The ambient PM2.5 concentration distribution is spatially dependent and significantly clustered in space. Installation of additional ground-based PM2.5 monitoring devices, particularly in regions where PM2.5 concentration is higher, is recommended. Validating satellite-based PM2.5 data with ground-based measurements in the country is also advised.

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“…The studies showed that terrain played a crucial role in the generation and migration of PM [23]. The wind azimuth has a significant impact on the outflow of PM, while wind speed and direction have a significant impact on the inflow of PM [21]. Temperature and relative humidity are also correlated with the concentration of PM 2.5 [22].…”

Section: Introductionmentioning

confidence: 99%

“…The impact mechanism of meteorological factors on PM concentrations is relatively complex, and the impact of a single meteorological factor depends on its combination with other factors. Moreover, the same meteorological element has different or even opposite effects on the inflow and outflow of PM [21]. PM 2.5 is more susceptible to meteorological conditions than PM 10 [22].…”

Section: Introductionmentioning

confidence: 99%

The WRF-CMAQ Simulation of a Complex Pollution Episode with High-Level O3 and PM2.5 over the North China Plain: Pollution Characteristics and Causes

Dou,

Yu,

et al. 2024

Atmosphere

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The problem of atmospheric complex pollution led by PM2.5 and O3 has become an important factor restricting the improvement of air quality in China. In drawing on observations and Weather Research and Forecasting-Community Multiscale Air Quality (WRF-CMAQ) model simulations, this study analyzed the characteristics and causes of a regional PM2.5-O3 complex pollution episode in North China Plain, in the period from 3 to 5 April 2019. The results showed that in static and stable weather conditions with high temperature and low wind speed, despite photochemical reactions of O3 near the ground being weakened by high PM2.5 concentrations, a large amount of O3 generated through gas-phase chemical reactions at high altitudes was transported downwards and increased the O3 concentrations at the ground level. The high ground-level O3 could facilitate both the conversion of SO2 and NO2 into secondary inorganic salts and volatile organic compounds into secondary organic aerosols, thereby amplifying PM2.5 concentrations and exacerbating air pollution. The contributions of transport from outside sources to PM2.5 (above 60%) and O3 (above 46%) increased significantly during the episode. This study will play an instrumental role in helping researchers to comprehend the factors that contribute to complex pollution in China, and also offers valuable references for air pollution management.

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The influence of meteorological factors and terrain on air pollution concentration and migration: a geostatistical case study from Krakow, Poland

Cited by 39 publications

References 50 publications

A mobile car monitoring system as a supplementary tool for air quality monitoring in urban and rural environments. The case study from Poland

A mobile car monitoring system as a supplementary tool for air quality monitoring in urban and rural environments. The case study from Poland

The spatial and temporal variation of fine particulate matter pollution in Ethiopia: Data from the Atmospheric Composition Analysis Group (1998–2019)

The WRF-CMAQ Simulation of a Complex Pollution Episode with High-Level O3 and PM2.5 over the North China Plain: Pollution Characteristics and Causes

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