The quantitative relationship between visibility and mass concentration of PM2.5 in Beijing

Wang, Jingli; Zhang, Yuanhang; Shao, Min; Liu, Xu-Lin; Zeng, Limin; Cheng, Conglan; Xu, Xilong

doi:10.2495/air06059

Cited by 46 publications

(43 citation statements)

References 2 publications

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“…This means that PLAM/h has significant capability in describing optimal or inferior visibility and, moreover, its seasonal difference is great. This finding is consistent with the climate observation result that the aerosol concentration high value in summer appears at the same rate as with low visibility (Wang and Liu, 2006).…”

Section: Analysis Of Seasonal Characteristics Of Plam/h Index and Vissupporting

confidence: 82%

PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China

et al. 2016

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Abstract. Using surface meteorological observation and high-resolution emission data, this paper discusses the application of the PLAM/h index (Parameter Linking Air-quality to Meteorological conditions/haze) in the prediction of largescale low visibility and fog-haze events. Based on the twodimensional probability density function diagnosis model for emissions, the study extends the diagnosis and prediction of the meteorological pollution index PLAM to the regional visibility fog-haze intensity. The results show that combining the influence of regular meteorological conditions and emission factors together in the PLAM/h parameterization scheme is very effective in improving the diagnostic identification ability of the fog-haze weather in North China. The determination coefficients for four seasons (spring, summer, autumn, and winter) between PLAM/h and visibility observation are 0.76, 0.80, 0.96, and 0.86, respectively, and all of their significance levels exceed 0.001, showing the ability of PLAM/h to predict the seasonal changes and differences of fog-haze weather in the North China region. The high-value correlation zones are located in Jing-Jin-Ji (Beijing, Tianjin, Hebei), Bohai Bay rim, and southern Hebei-northern Henan, indicating that the PLAM/h index is related to the distribution of frequent heavy fog-haze weather in North China and the distribution of emission high-value zone. Through comparative analysis of the heavy fog-haze events and large-scale clear-weather processes in winter and summer, it is found that PLAM/h index 24 h forecast is highly correlated with the visibility observation. Therefore, the PLAM/h index has good capability in identification, analysis, and forecasting.

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Section: Analysis Of Seasonal Characteristics Of Plam/h Index and Vissupporting

confidence: 82%

PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China

et al. 2016

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“…Thus, with an increase in relative humidity, the correlation between the visibility and the concentration of PM 2.5 becomes weaker. A similar situation was found for the summer in Beijing (Wang and Liu, 2006).…”

Section: Correlation Between Visibility and The Concentration Of Pm 2supporting

confidence: 82%

“…The results show that the concentration of fine particles also plays an important role in reducing visibility in Hangzhou. This phenomenon has also been observed in Beijing (Song et al, 2003;Wang and Liu, 2006), Guangzhou (Tan et al, 2009b), Shanghai (Fu et al, 2008) and Jinan (Yang et al, 2007), Seoul (Kang et al, 2004) and the mid-Atlantic region (Chen et al, 2003). …”

Section: Influence Of Fine Particulate Matter On Visibilitymentioning

confidence: 55%

Estimation of the Main Factors Influencing Haze, Based on a Long-term Monitoring Campaign in Hangzhou, China

Xiao

Zhang

Hong

et al. 2011

Aerosol Air Qual. Res.

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Eight years of data on haze and visibility (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) and one year of (2010) data on surface meteorological elements (relative humidity, wind speed, air temperature), visibility and the concentrations of air pollutants (PM 2.5 , SO 2 , NO 2 and O 3 ) measured each hour of each day were analyzed using correlation analysis to investigate the main factors influencing haze in Hangzhou, China. The occurrence of hazy weather has become more frequent over the past eight years in Hangzhou, and haze appears about 160 days per year. The occurrence of haze during the day was more frequent in the spring and the winter and less frequent in the summer and the autumn. Low visibility occurred in the morning, and the maximum visibility occurred in the afternoon period. The results of the statistical analysis show that the relative humidity and the concentration of PM 2.5 played the most important roles in reducing visibility. The correlation coefficients between the concentration of PM 2.5 and the concentrations of O 3 , SO 2 and NO 2 indicate that O 3 and NO 2 are the dominant factors contributing to PM 2.5 pollution, which, in turn, can lead to haze. To reduce the number of haze days, greater concern and more countermeasures should be taken to decrease the O 3 and NO 2 pollution in Hangzhou, China.

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“…The high concentration of PM 2.5 could have significant adverse impacts on the atmospheric visibility and the human health. For example, previous studies indicated that the PM 2.5 was the main cause of reduced visibility in Beijing (Wang et al, 2006;Zhou et al, 2012a). Such fine particles can also result in serious human health problems (e.g., cardiovascular diseases, respiratory irritation, and pulmonary dysfunction) since they contain microscopic solids or liquid droplets which are toxic and can get deep into the human body (Cao et al, 2012;Haberzettl et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A Monitoring and Modeling Study to Investigate Regional Transport and Characteristics of PM2.5 Pollution

Lang

Cheng

et al. 2013

Aerosol Air Qual. Res.

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In this study, the regional transport and characteristics of PM 2.5 pollution were examined through a case study in Beijing, China. The results from an intensive monitoring program indicate that the inorganic particles (sulfate, nitrate, and ammonium), organic carbons, and the elements accounted for 35.5, 24.2, and 15.3% of the total PM 2.5 on an annual average basis, respectively. The proportions of such PM 2.5 components also showed clear seasonal variations. An integrated MM5-CMAQ modeling system was then developed to examine the regional transport of PM 2.5 and its components in Beijing within four typical months of 2010. The results indicate that the annual average total trans-boundary contribution ratio (TBCR) is 42.2, 46.3, 77.4, and 61.6% for the concentrations of PM 2.5 , sulfate, nitrate, and ammonium, respectively. A logarithmic relationship was found between the total TBCR and the PM 2.5 concentrations in Beijing for different seasons. Further investigations showed that trans-boundary transport played a major role in Beijing's PM 2.5 concentrations during the period of high pollution levels, with an annual average TBCR of 54.6%. As a result, the control of PM 2.5 pollution in Beijing needs effective cooperation between Beijing and its surrounding regions, especially during periods of heavy pollution.

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The quantitative relationship between visibility and mass concentration of PM2.5 in Beijing

Cited by 46 publications

References 2 publications

PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China

PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China

Estimation of the Main Factors Influencing Haze, Based on a Long-term Monitoring Campaign in Hangzhou, China

A Monitoring and Modeling Study to Investigate Regional Transport and Characteristics of PM2.5 Pollution

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