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| 1 | Study on the Current Situation and Source Apportionment of PM_(2.5) Pollution in China显示文摘In this paper,using concentration data of PM2. 5in 2013 in China and referring to a lot of literature,we preliminary studied the pollution of fine particulate matter and summarized PM2. 5source apportionment in the key cities in China. Our results showed that PM2. 5showed significant spatial and temporal distribution; high surface concentrations of PM2. 5concentrated mainly in the North China Plain,the Sichuan Basin,Yangtze River Delta and other regions; the average annual concentration of PM2. 5was about 80μg / m3 in North China Plain; Seasonal changes in the concentration of PM2. 5was winter > spring > autumn > summer; fired sources,industrial sources,vehicle exhaust were the major sources of PM2. 5; motor vehicle exhaust mostly contributed 10%- 30% to PM2. 5. This review provides a fundamental understanding of PM2. 5source apportionment and serves as an important reference for future source apportionment studies to be widely conducted in China. | Nianliang CHENG Shangyin GAO Yunting LI Bingfen CHENG Kuikui YUAN | 2015 | Asian Agricultural Research2015，7，1： | 1 |
| 2 | Comparisons of two serious air pollution episodes in winter and summer in Beijing显示文摘Characteristics of two serious air pollution episodes(9–15 January, as the winter case; and30 June to 1 July, as the summer case), which occurred in Beijing in 2013 were investigated and compared using multi-method observations and numerical simulations. During these two air pollution episodes, PM_(2.5) concentrations varied significantly within Beijing, with PM_(2.5) concentrations in southern parts of Beijing being significantly higher than in northern areas. Typically, heavy air pollution episodes begin in the southern parts and disperse towards the northern parts of Beijing. Clearly, synoptic patterns and the stability of atmospheric circulation patterns were the main factors controlling air pollution in Beijing.During the winter case, a warm center above 900 h Pa occurred over Beijing. Meanwhile, in the summer case, although there was only a weak inversion, the convective inhibition energy was strong(over 200 J/k G). This clearly influenced the duration of the air pollution event. Except for the local accumulation and secondary atmospheric reactions in both cases, regional straw burnings contributed a lot to the PM_(2.5) concentrations in summer case.Using the CAMxmodel, we established that regional transport contributed almost 59% to the PM_(2.5) averaged concentration in Beijing in the winter case, but only 31% in the summer case. Thus, the winter case was a typical regional air pollution episode, while the summer case resulted from local accumulation straw burnings transportation and strong secondary atmospheric reactions. Given that air pollution is a regional problem in China, consistent and simultaneous implementation of regional prevention and control strategies is necessary to improve regional air quality. | Nianliang Cheng Yunting Li Bingfen Cheng Xin Wang Fan Meng Qin Wang Qihong Qiu | 2018 | Journal of Environmental Sciences2018，30，7： | 0 |
| 3 | Analysis about the Characteristics and Formation Mechanism of a Serious Pollution Event in Beijing in October 2014显示文摘In this paper,atmospheric environmental background,weather conditions and formation mechanism of one typical air pollution episode in Beijing during October 6^(th)-12^(th),2014 were investigated by combining observed data with numerical model CAMx.Results showed that the occurrence of heavy air pollution resulted mainly from stable atmospheric conditions regionally or locally.Observed heavy pollution episodes were characterized by a stagnant atmospheric structure with average wind speed of 1.56 m/s,high humidity of 83.13%,large inversion strength of 3.42 ℃/100 m which were disadvantageous to the dispersal of air pollutants.The air pollution episode during October 8^(th)-11^(th) was the most serious with daily average PM_(2.5) concentration of 264 μg/m^3 in Beijing,and heavily polluted land area at Beijing,Tianjin and Hebei districts was about 2 × 10~5 km^2.Model research showed that regional transmission contributions to the receptor sites in Beijing were between 61%-69%during 8^(th)-11^(th),and regional transportation played a more important role in this serious air pollution episode. | Li Honglu Li Shanshan Zhang Xiaoqin Sun Rongji Cheng Bingfen | 2015 | Meteorological and Environmental Research2015，6，8： | 0 |
| 4 | Temporal, Spatial Distribution and Source Simulation Analysis of NO3- in PM2.5 in Beijing City in 2013显示文摘In this paper,the spatial,temporal distribution,transformation and source simulation of NO_3^- were analyzed systematically based on the monitoring data,literature review and numerical simulation(CMAQ4.7.1).Analysis results showed that annual average concentration of NO_3^- in Beijing was between 6.69 and 12.48 μg/m^3 with an increasing trend in recent years;concentration of NO_3^- in Beijing in 2013 was higher in winter and autumn than that in spring and summer and diurnal variation of NO_3^- showed bimodal distribution and spatial distribution of NO_3^- showed significant north-south gradient distribution;annual average NOR in Beijing was between 0.12 and 0.17 while it was between 0.17 and 0.20 during heavy air pollution days in 2013;the average ratio of NO_3^-/SO_4^(2-) was between 0.97 and 1.06 while it was between 1.00 and 1.07 during heavy air pollution days in 2013;the emission sources of Beijing was being changed from fixed source to both fixed and moving sources in feature development;simulated local,external transportation,background and boundary condition were 40%,44%and 16%respectively to the annual average concentration of NO_3^- in Beijing in 2013 while they were 31%,57%and 12%respectively in heavy air pollution days,which indicated that external source played an important role to the concentration of NO_3^- in Beijing. | Xln Liang Cheng Nianllang Cheng Bingfen Meng Fan | 2015 | Meteorological and Environmental Research2015，6，8： | 0 |
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