Literature DB >> 17294643

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

Jing-Li Wang1, Yuan-Hang Zhang, Min Shao, Xu-Lin Liu, Li-Min Zeng, Cong-Lan Cheng, Xiao-Feng Xu.   

Abstract

The pollution of particulate matter less than 2.5 microm (PM2.5) is a serious environmental problem in Beijing. The annual average concentration of PM2.5 in 2001 from seasonal monitor results was more than 6 times that of the U.S. national ambient air quality standards proposed by U.S. EPA. The major contributors to mass of PM2.5 were organics, crustal elements and sulfate. The chemical composition of PM2.5 varied largely with season, but was similar at different monitor stations in the same season. The fine particles (PM2.5) cause atmospheric visibility deterioration through light extinction. The mass concentrations of PM2.5 were anti-correlated to the visibility, the best fits between atmospheric visibility and the mass concentrations of PM2.5 were somehow different: power in spring, exponential in summer, logarithmic in autumn, power or exponential in winter. As in each season the meteorological parameters such as air temperature and relative humidity change from day to day, probably the reason of above correlations between PM2.5 and visibility obtained at different seasons come from the differences in chemical compositions of PM2.5.

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Year:  2006        PMID: 17294643

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  9 in total

1.  Preliminary study on visual recognition under low visibility conditions caused by artificial dynamic smog.

Authors:  Xu-Hong Zhang; Zhe-Yi Chen; Bin-Bin Su; Karunanedi Soobraydoo; Hao-Ran Wu; Qin-Zhuan Ren; Lu Sun; Fan Lyu; Jun Jiang
Journal:  Int J Ophthalmol       Date:  2018-11-18       Impact factor: 1.779

2.  A Risk and Decision Analysis Framework to Evaluate Future PM2.5 Risk: A Case Study in Los Angeles-Long Beach Metro Area.

Authors:  Bowen He; Qun Guan
Journal:  Int J Environ Res Public Health       Date:  2021-05-04       Impact factor: 3.390

3.  Health impact assessment of exposure to fine particulate matter based on satellite and meteorological information.

Authors:  Hak-Kan Lai; Hilda Tsang; Thuan-Quoc Thach; Chit-Ming Wong
Journal:  Environ Sci Process Impacts       Date:  2014-02       Impact factor: 4.238

Review 4.  A Review of Recent Advances in Research on PM2.5 in China.

Authors:  Yaolin Lin; Jiale Zou; Wei Yang; Chun-Qing Li
Journal:  Int J Environ Res Public Health       Date:  2018-03-02       Impact factor: 3.390

5.  Estimating the Excess Mortality Risk during Two Red Alert Periods in Beijing, China.

Authors:  Weilin Zeng; Lingling Lang; Yue Li; Lingchuan Guo; Hualiang Lin; Yonghui Zhang; Tao Liu; Jianpeng Xiao; Xing Li; Yanjun Xu; Xiaojun Xu; Lauren D Arnold; Erik J Nelson; Zhengmin Qian; Wenjun Ma
Journal:  Int J Environ Res Public Health       Date:  2017-12-29       Impact factor: 3.390

6.  microRNA-16 Via Twist1 Inhibits EMT Induced by PM2.5 Exposure in Human Hepatocellular Carcinoma.

Authors:  Hao Zhang; Zhihu Li
Journal:  Open Med (Wars)       Date:  2019-09-15

7.  Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China.

Authors:  Jiajia Chen; Huanfeng Shen; Tongwen Li; Xiaolin Peng; Hairong Cheng; And Chenyan Ma
Journal:  Int J Environ Res Public Health       Date:  2019-11-30       Impact factor: 3.390

8.  Effects of Urban Landscape Pattern on PM2.5 Pollution--A Beijing Case Study.

Authors:  Jiansheng Wu; Wudan Xie; Weifeng Li; Jiacheng Li
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

9.  Eigenvector Spatial Filtering Regression Modeling of Ground PM2.5 Concentrations Using Remotely Sensed Data.

Authors:  Jingyi Zhang; Bin Li; Yumin Chen; Meijie Chen; Tao Fang; Yongfeng Liu
Journal:  Int J Environ Res Public Health       Date:  2018-06-11       Impact factor: 3.390

  9 in total

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