Analysis of aerosol characteristics and their relationships with meteorological parameters over Anhui province in China

Deng, Xiaodong; Shi, Chong; Wu, Buyun; Chen, Zhenghua; Nie, Suping; He, Dandan; Zhang, Hao

doi:10.1016/j.atmosres.2012.02.011

Cited by 54 publications

(51 citation statements)

References 37 publications

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“…Because it was the crop-harvesting season, large amounts of biomass (such as straw) were combusted and many aerosol pollutants emitted into the atmosphere. It has been discovered that the harvest season in northern Anhui Province is in June (summer) and considerable biomass is burned during this time; thus, the fire density is much greater in June than in other months [48].…”

Section: Identification and Source Of Hazementioning

confidence: 99%

Aerosol Optical Properties of a Haze Episode in Wuhan Based on Ground-Based and Satellite Observations

Zhang

Gong

et al. 2014

Atmosphere

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A severe haze episode that occurred in Wuhan, central China, from 6-14 June 2012 was investigated using ground-based and satellite-derived observations, from which the optical properties and vertical distribution of the aerosols were obtained. The mass concentrations of PM 2.5 and black carbon (BC) were 9.9 (332.79 versus 33.66 μg·m ). Particle size became larger, consistent with the reduced scattering Ångström exponent. The high asymmetry parameter (0.65) and single scattering albedo (SSA) (0.97) observed in the haze, which coincided with the relatively low backscatter ratio (0.11) and up-scatter fraction (0.23), were related to the increased particle size, and could have had a heating effect on the atmosphere. Aerosols accumulated primarily below 3 km and according to CALIPSO, were regular in their shapes. At the surface, the aerosol extinction coefficient detected by satellite remained at ~1 km , very close to the ground-based observations. Aerosol optical properties measured at this downtown site could help further the understanding of the effects of aerosols on the air quality, city environment, and radiation balance. OPEN ACCESSAtmosphere 2014, 5 700

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Section: Identification and Source Of Hazementioning

confidence: 99%

Aerosol Optical Properties of a Haze Episode in Wuhan Based on Ground-Based and Satellite Observations

Zhang

Gong

et al. 2014

Atmosphere

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“…Previous works [ Dawson et al ., ; Schwanghart and Schütt , ; Dawson et al ., ; Deng et al ., ; Jiménez‐Guerrero et al ., ; Yang et al ., ; Wang and Yang , ] have shown that aerosols are closely related to a suite of meteorological variables, i.e., air pressure (PRS), average temperature (TEM), relative humidity (RHU), precipitation (PRE), evaporation (EVP), wind speed (WIN), and sunshine duration (SSD). Modeling studies [ Dawson et al ., , ] have also examined the individual effects of various meteorological factors on concentrations of particulate matter (PM) in the Eastern US.…”

Section: Introductionmentioning

confidence: 99%

“…Deng et al . [] reported that variation in Aerosol Optical Thickness (AOT, also denoted τ) depends on various meteorological conditions such as wind and relative humidity. Meteorological conditions can affect aerosol by changing its composition and transmission path.…”

Section: Introductionmentioning

confidence: 99%

Statistical properties of aerosols and meteorological factors in Southwest China

et al. 2014

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The spatial and temporal variations of aerosols and their relationships with meteorological conditions in Southwest China were studied to understand the aerosol-meteorology interactions. The spatial distribution of aerosols shows a strong "basin" effect with the highest values of Aerosol Optical Thickness at 0.55 μm (AOT, also denoted τ 0.55 ) (>0.70), fine-mode AOT (τ 0.55-fine ) (0.40~0.67), and coarse-mode AOT (τ 0.55-coarse ) (0.40~0.54), all observed in the Sichuan Basin. The temporal variation of seasonal mean τ 0.55 shows dissimilar cyclic variations, which is due to the contrary annual cycle trends of seasonal mean τ 0.55-coarse (first decrease and then increase) and τ 0.55-fine (first increase and then decrease). Both the results obtained from self-organizing map (SOM) model and principal component analysis (PCA) could imply the reasons for different features of the spatial and temporal variations of τ 0.55 , τ 0.55-fine , and τ 0.55-coarse , and also confirm that their distributions are influenced by complex interactions among different meteorological factors. The seasonal mean τ 0.55 during the selected period is positively correlated with air pressure (PRS) and relative humidity (RHU) but negatively correlated with sunshine duration (SSD). The seasonal mean τ 0.55-fine is positively correlated with PRS, RHU, average temperature (TEM), and precipitation (PRE). However, the seasonal mean τ 0.55-coarse is only negatively correlated with PRE and evaporation (EVP). In particular, the τ 0.55-fine increases (decreases) and τ 0.55-coarse decreases (increases) with increasing (decreasing) TEM and PRE. This discrepant trend of τ 0.55-fine and τ 0.55-coarse might account for the weak relationships between τ 0.55 and these two meteorological factors.

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“…With terrain elevation increasing big particle aerosol is gradually cleared by gravitational settling and small particle aerosol is dominant which causes lower AOD and higher angstrom exponent over the mountainous region. Whereas AOD is higher and angstrom exponent is lower over the plain region compared with the mountainous region due to complex aerosol sources, including dust, biomass burning, industry emissions and traffic [28]. The area averaged time series and trends in AOD, AE and (Fig.…”

Section: Spatial and Temporal Variations Of Aod Ae And Fmfmentioning

confidence: 99%

An observational study of aerosol optical properties and their relationships with meteorological parameters over Bangladesh

Mamun¹

2014

IOSRJAGG

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Analysis of aerosol characteristics and their relationships with meteorological parameters over Anhui province in China

Cited by 54 publications

References 37 publications

Aerosol Optical Properties of a Haze Episode in Wuhan Based on Ground-Based and Satellite Observations

Aerosol Optical Properties of a Haze Episode in Wuhan Based on Ground-Based and Satellite Observations

Statistical properties of aerosols and meteorological factors in Southwest China

An observational study of aerosol optical properties and their relationships with meteorological parameters over Bangladesh

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