Contribution of meteorological factors to particulate pollution during winters in Beijing

Meng, Chunlei; Cheng, Tianhai; Gu, Xingfa; Shi, Shuaiyi; Wang, Wannan; Wu, Yu; Bao, Fang

doi:10.1016/j.scitotenv.2018.11.365

Cited by 55 publications

(20 citation statements)

References 34 publications

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“…Studies have uncovered that both meteorological conditions and air pollutant emissions dominate pollutant concentration trends [21,22]. The authors of [23] reported that favorable meteorological conditions have important effects on air criteria, by impacting dispersal conditions and thus the environmental capacity. Hence, both regional and local meteorology have an effect on the temporal and spatial ordering of air pollutants [22].…”

Section: Introductionmentioning

confidence: 99%

Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

et al. 2021

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This study assessed the spatial disposition of air pollutants and their relationship with meteorological parameters in urban slum settlements of Lagos city. The gaseous pollutants were quantified using a gas analyzer, and the PM2.5 concentration and meteorological parameters were determined using an Air Metric Sampler and Wind Mate, respectively. SPSS for Windows and ArcGIS were used for data analysis. The results revealed that the seasonal variations in SO2, NO2, CO2, and PM2.5 showed a higher level of air pollutant concentration during the dry season than during the wet season. During the wet season, a significant correlation was observed between PM2.5 and temperature at the 1% level (0.957 **), and VOC and SO2 (0.907 *) at the 5% level; during the dry season, significant correlations were observed between NO2 and SO2 at the 1% level (0.9477 **), and PM2.5 and relative humidity (0.832 *) at the 5% level. Atmospheric pressure (72%), temperature (60%), and relative humidity (98.4) were the primary meteorological factors affecting air pollutants such as VOC, CO2, and SO2. The spatial dispersal of air pollutants revealed a high Z score and a moderate p-value, indicating hot spot locations throughout the five selected slum settlements. It is recommended that regular monitoring based on quantifiable economic costs that are beneficial to the well-being of the populace be investigated, and policy-based initiatives for air pollution control based on scientific evidence be advocated for.

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Section: Introductionmentioning

confidence: 99%

Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

et al. 2021

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“…Emis represents anthropogenic emission induced ambient PM 2.5 concentration. To simplify the modeling process, here we defined Emis as the mean PM 2.5 concentration increment within the next 24-hr right after the time when the monthly lowest value was observed, by following Meng et al (2019).…”

Section: Methodsmentioning

confidence: 99%

Do More Frequent Temperature Inversions Aggravate Haze Pollution in China?

Bai

Guo

et al. 2022

Geophysical Research Letters

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As an inversion of the air temperature lapse rate, temperature inversion (TI) significantly suppresses turbulence and convection in the planetary boundary layer (PBL), leading to higher concentration of air pollutants by trapping them at the ground level (Bilello, 1966;Serreze et al., 1992;Wu et al., 2014). Previous studies have also revealed a close association between TI episodes and severe haze pollution events (

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“…After that step, the meteorological data (i.e., PREC, AWS, ATEM, ARH) at each site were interpolated to 3-km continuous raster data by the inverse distance weight interpolation method [38]. PBLH data were resampled to 3 × 3 km grid cell by bilinear interpolation [89]. For the other variables (i.e., DEM, SLP, NDVI, GDP and POP), the corresponding values of the pixels fell in each grid cell were averaged separately to match the fixed 3 × 3 km grid [90].…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta during the 2014–2017 Period

Cheng

Chen

et al. 2019

IJERPH

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Large amounts of aerosol particles suspended in the atmosphere pose a serious challenge to the climate and human health. In this study, we produced a dataset through merging the Moderate Resolution Imaging Spectrometers (MODIS) Collection 6.1 3-km resolution Dark Target aerosol optical depth (DT AOD) with the 10-km resolution Deep Blue aerosol optical depth (DB AOD) data by linear regression and made use of it to unravel the spatiotemporal characteristics of aerosols over the Pan Yangtze River Delta (PYRD) region from 2014 to 2017. Then, the geographical detector method and multiple linear regression analysis were employed to investigate the contributions of influencing factors. Results indicate that: (1) compared to the original Terra DT and Aqua DT AOD data, the average daily spatial coverage of the merged AOD data increased by 94% and 132%, respectively; (2) the values of four-year average AOD were high in the north-east and low in the south-west of the PYRD; (3) the annual average AOD showed a decreasing trend from 2014 to 2017 while the seasonal average AOD reached its maximum in spring; and that (4) Digital Elevation Model (DEM) and slope contributed most to the spatial distribution of AOD, followed by precipitation and population density. Our study highlights the spatiotemporal variability of aerosol optical depth and the contributions of different factors over this large geographical area in the four-year period, and can, therefore, provide useful insights into the air pollution control for decision makers.

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Contribution of meteorological factors to particulate pollution during winters in Beijing

Cited by 55 publications

References 34 publications

Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

Spatial Pattern of Air Pollutant Concentrations and Their Relationship with Meteorological Parameters in Coastal Slum Settlements of Lagos, Southwestern Nigeria

Do More Frequent Temperature Inversions Aggravate Haze Pollution in China?

Spatiotemporal Variability and Influencing Factors of Aerosol Optical Depth over the Pan Yangtze River Delta during the 2014–2017 Period

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