Influence of meteorological conditions and particulate matter on visual range impairment in Jinan, China

Yang, Lingxiao; Wang, Dongcheng; Cheng, Sainan; Wang, Zhe; Zhou, Yang; Zhou, Xuehua; Wang, Wenxing

doi:10.1016/j.scitotenv.2007.04.042

Cited by 135 publications

(78 citation statements)

References 10 publications

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“…2). The predominant contribution of sulfate to aerosol light extinction budget is consistent with the results from many other studies, such as in Xi'an (39.8%) , Jinan (41%) (Yang et al, 2007) and Guangzhou (50 ± 11%) (Tao et al, 2014a). The contribution of OM was comparable to those in mentioned studies, i.e., 23.8% in Xi'an, 22% in Jinan and 19% in Guangzhou, while the contribution of AN was much lower than those in these studies.…”

Section: Reconstructed B Ext Using Improve Formulasupporting

confidence: 91%

“…(3), the average reconstructed b ext of 47 samples was 253.7 ± 162.9 Mm -1 . The value was smaller than those obtained in other studies in China, for example, 912 ± 882 Mm -1 in Xi'an , 900 ± 623 Mm -1 in Chengdu , 326 ± 248 Mm -1 in Guangzhou (Tao et al, 2014a) and 292 Mm -1 in Jinan (Yang et al, 2007). The seasonal median of reconstructed b ext was in the order of autumn (257.3 ± 207.2 Mm -1 ) > winter (180.7 ± 175.5 Mm ) > spring (193.3 ± 94.9 Mm -1 ).…”

Section: Reconstructed B Ext Using Improve Formulacontrasting

confidence: 70%

“…According to the formula, contribution of each aerosol species and the total contribution by aerosol to light extinction can be calculated. Both the original and the revised formulas have been applied in the studies in China (Yang et al, 2007;Tao et al, 2009;Zhang et al, 2012;Xiao et al, 2014). The major concern in applying the IMPROVE formulas is their universal applicability since the formulas were developed for rural/remote areas in United States (Sisler and Malm, 1994;Hand et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reconstructed Light Extinction Coefficients of Fine Particulate Matter in Rural Guangzhou, Southern China

Chen

Lai

Gao

et al. 2016

Aerosol Air Qual. Res.

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A one-year campaign was conducted to collected PM 2.5 samples in the rural area of Guangzhou, the largest megacity in South China, from March 2012 to February 2013. Mass concentration of PM 2.5 , carbonaceous fractions (i.e., organic carbon (OC) and elemental carbon (EC)) and 6 water-soluble ions were analyzed. Light extinction coefficient (b ext ) of fine particulate matter was reconstructed using the revised IMPROVE formula at the site. (NH 4 ) 2 SO 4 (AS) made a dominant contribution to the light extinction budget, accounting for 61.3% (155.6 ± 108.5 Mm -1 ) annually, with highest in autumn (68.0%) and lowest in winter (55.2%). Organic matter (OM) was the second largest contributor accounting for 20.5% (52.2 ± 42.7 Mm -1 ) with highest in winter (23.4%) and lowest in spring (18.0%). The relationship between reconstructed b ext and measured b ext was investigated under the influence of seasonality, visibility and PM 2.5 concentration. We found that b ext could be reconstructed using revised IMPROVE formula in high PM 2.5 days (threshold value of ~60 µg m -3 ). On other hand, the performance of formula was unsatisfactory for b ext reconstruction of in low PM 2.5 days, when meteorological conditions could have significant impact on visibility.

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Section: Reconstructed B Ext Using Improve Formulasupporting

confidence: 91%

Section: Reconstructed B Ext Using Improve Formulacontrasting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reconstructed Light Extinction Coefficients of Fine Particulate Matter in Rural Guangzhou, Southern China

Chen

Lai

Gao

et al. 2016

Aerosol Air Qual. Res.

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show abstract

“…During hazy days, concentration of BC, one of the most important aerosol components from both environmental and climate perspectives, could exceed 20 μg m -3 in China's megacities (Yang et al, 2007;Sun et al, 2014), far more than those in other regions across the world. Such a high level of BC concentration in China is primarily attributed to intensive residential combustions and coal-dominant energy structure (Qin and Xie, 2011;Zhang et al, 2009b).…”

Section: Introductionmentioning

confidence: 99%

Dome effect of black carbon and its key influencing factors: A one-dimensional modelling study

Wang¹,

Huang²,

Ding³

2017

Preprint

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Black carbon (BC) has been identified to play a critical role in aerosol-planet boundary layer (PBL) interaction and further deterioration of near-surface air pollution in megacities, which has been named as its "dome effect". However, the impacts of key factors that influence this effect, such as the vertical distribution and aging processes of BC, and also the underlying land surface, have not been quantitatively explored yet. Here, based on available in-situ measurements of meteorology and 15 atmospheric aerosols together with the meteorology-chemistry online coupled model, WRF-Chem, we conduct a set of parallel simulations to quantify the roles of these factors in influencing the BC's dome effect and surface haze pollution, and discuss the main implications of the results to air pollution mitigation in China. We found that the impact of BC on PBL is very sensitive to the altitude of aerosol layer. The upper level BC, especially those near the capping inversion, is more essential in suppressing the PBL height and weakening the turbulence mixing. The dome effect of BC tends to be significantly intensified 20 as BC aerosol mixed with scattering aerosols during winter haze events, resulting in a decrease of PBL height by more than 25%. In addition, the dome effect is more substantial (up to 15%) in rural areas than that in the urban areas with the same BC loading, indicating an unexpected regional impact of such kind of effect to air quality in countryside. This study suggests that China's regional air pollution would greatly benefit from BC emission reductions, especially those from the elevated sources from the chimneys and also the domestic combustions in rural areas, through weakening the aerosol-boundary layer 25 interactions that triggered by BC.

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“…The IMPROVE algorithm is a concise way to link b ext with the major chemical components of particles, and therefore has been broadly used in previous studies to reconstruct the chemical budget of b ext (Hand and Malm, 2006;Malm and Hand, 2007;Yang et al, 2007;Jung et al, 2009;Cao et al, 2012;Lin et al, 2014;Tao et al, 2014aTao et al, , 2014b. However, the mass scattering/absorbing efficiency (MSE/MAE) and hygroscopic growth factor (f(RH)) set in the IMPROVE algorithm is only an approximation and simplification, and its extensive use in other sites, particularly ones in heavily polluted area, is always under question.…”

Section: Introductionmentioning

confidence: 99%

Changes in visibility with PM2.5 composition and relative humidity at a background site in the Pearl River Delta region

Wang

et al. 2016

Journal of Environmental Sciences

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Influence of meteorological conditions and particulate matter on visual range impairment in Jinan, China

Cited by 135 publications

References 10 publications

Reconstructed Light Extinction Coefficients of Fine Particulate Matter in Rural Guangzhou, Southern China

Reconstructed Light Extinction Coefficients of Fine Particulate Matter in Rural Guangzhou, Southern China

Dome effect of black carbon and its key influencing factors: A one-dimensional modelling study

Changes in visibility with PM2.5 composition and relative humidity at a background site in the Pearl River Delta region

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