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Featured researches published by Delong Zhao.


Science of The Total Environment | 2015

Effects of meteorology and secondary particle formation on visibility during heavy haze events in Beijing, China

Qiang Zhang; Jiannong Quan; Xuexi Tie; Xia Li; Quan Liu; Yang Gao; Delong Zhao

The causes of haze formation in Beijing, China were analyzed based on a comprehensive measurement, including PBL (planetary boundary layer), aerosol composition and concentrations, and several important meteorological parameters such as visibility, RH (relative humidity), and wind speed/direction. The measurement was conducted in an urban location from Nov. 16, 2012 to Jan. 15, 2013. During the period, the visibility varied from >20 km to less than a kilometer, with a minimum visibility of 667 m, causing 16 haze occurrences. During the haze occurrences, the wind speeds were less than 1m/s, and the concentrations of PM2.5 (particle matter with radius less than 2.5 μm) were often exceeded 200 μg/m(3). The correlation between PM2.5 concentration and visibility under different RH values shows that visibility was exponentially decreased with the increase of PM2.5 concentrations when RH was less than 80%. However, when RH was higher than 80%, the relationship was no longer to follow the exponentially decreasing trend, and the visibility maintained in very low values, even with low PM2.5 concentrations. Under this condition, the hygroscopic growth of particles played important roles, and a large amount of water vapor acted as particle matter (PM) for the reduction of visibility. The variations of meteorological parameters (RH, PBL heights, and WS (wind speed)), chemical species in gas-phase (CO, O3, SO2, and NOx), and gas-phase to particle-phase conversions under different visibility ranges were analyzed. The results show that from high visibility (>20 km) to low visibility (<2 km), the averaged PBL decreased from 1.24 km to 0.53 km; wind speeds reduced from 1m/s to 0.5m/s; and CO increased from 0.5 ppmv to 4.0 ppmv, suggesting that weaker transport/diffusion caused the haze occurrences. This study also found that the formation of SPM (secondary particle matter) was accelerated in the haze events. The conversions between SO2 and SO4 as well as NOx to NO3(-) increased, especially under high humidity conditions. When the averaged RH was 70%, the conversions between SO2 and SO4 accounted for about 20% concentration of PM2.5, indicating that formation of secondary particle matter had important contribution for the haze occurrences in Beijing.


Journal of Environmental Sciences-china | 2013

Ground-high altitude joint detection of ozone and nitrogen oxides in urban areas of Beijing

Pengfei Chen; Qiang Zhang; Jiannong Quan; Yang Gao; Delong Zhao; Jimwang Meng

Based on observational data of ozone (O3) and nitrogen oxide (NO(x)) mixing ratios on the ground and at high altitude in urban areas of Beijing during a period of six days in November 2011, the temporal and spatial characteristics of mixing ratios were analyzed. The major findings include: urban O3 mixing ratios are low and NO(x) mixing ratios are always high near the road in November. Vertical variations of the gases are significantly different in and above the planetary boundary layer. The mixing ratio of O3 is negatively correlated with that of NO(x) and they are positively correlated with air temperature, which is the main factor directly causing vertical variation of O3 and NO(x) mixing ratios at 600-2100 m altitude. The NO(x) mixing ratios elevated during the heating period, while the O3 mixing ratios decreased: these phenomena are more significant at high altitudes compared to lower altitudes. During November, air masses in the urban areas of Beijing are brought by northwesterly winds, which transport O3 and NO(x) at low mixing ratios. Due to Beijings natural geographical location, northwest air currents are beneficial to the dilution and dispersion of pollutants, which can result in lower O3 and NO(x) background values in the Beijing urban area.


Environment International | 2018

Substantial reductions in ambient PAHs pollution and lives saved as a co-benefit of effective long-term PM2.5 pollution controls

Shaofei Kong; Qin Yan; Huang Zheng; Haibiao Liu; Wei Wang; Shurui Zheng; Guowei Yang; Mingming Zheng; Jian Wu; Shihua Qi; Guofeng Shen; Lili Tang; Yan Yin; Tianliang Zhao; Huan Yu; Dantong Liu; Delong Zhao; Tao Zhang; Jujun Ruan; Mingzhi Huang

Under great efforts in fighting against serious haze problem of China since 2013, decreasing of air pollutants especially for fine particles (PM2.5) has been revealed for several key regions. This study tried to answer whether the reduction of PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) was coincident with PM2.5 because of long-term pollution control measures (PCM), and to assess source-oriented health risks associated with inhalation exposure to PAHs. Field measurements were carried out before and after the publishing of local air pollution protection plan for Nanjing, a mega-city in east China. Results indicated that the air quality was substantially improving, with a significant reduction in annual average PM2.5 by 34%, and moreover, PM2.5-bound PAHs significantly reduced by 63% (pu202f<u202f0.001). The remarkable reduction was mainly attributable to the change of emission sources, compared to the influence of atmospheric circulation patterns, surface meteorological conditions, and atmospheric chemical reaction. Four PAHs sources including coal combustion (CC), petroleum and oil burning (PO), wood burning (WB) and vehicle emission (VE) were identified. On an annual basis, contributions to ambient PM2.5-PAHs from WB, PO, CC and VE sources in the period before the action of control measures were 2.26, 2.20, 1.96 and 5.62u202fngu202fm-3, respectively. They reduced to 1.09, 0.37, 1.31 and 1.77u202fngu202fm-3 for the four source types, with the reduction percentages as 51, 83, 33 and 68%, respectively. The estimated reduction in lifetime lung cancer risk was around 61%. The study that firstly assessed the health effects of PAHs reduction as a co-benefit raised by air PCM sustained for a long period is believed to be applicable and referential for other mega-cities around the world for assessing the benefits of PCM.


Atmospheric Environment | 2014

Characteristics of heavy aerosol pollution during the 2012–2013 winter in Beijing, China

Jiannong Quan; Xuexi Tie; Qiang Zhang; Quan Liu; Xia Li; Yang Gao; Delong Zhao


Particuology | 2013

Evolution of planetary boundary layer under different weather conditions, and its impact on aerosol concentrations

Jiannong Quan; Yang Gao; Qiang Zhang; Xuexi Tie; Junji Cao; Suqin Han; Junwang Meng; Pengfei Chen; Delong Zhao


Atmospheric Chemistry and Physics | 2012

Impact of aerosol composition on cloud condensation nuclei activity

Qiang Zhang; J. Meng; J. Quan; Yang Gao; Delong Zhao; P. Chen; Hui He


Atmospheric Environment | 2013

Aircraft measurements of BTEX compounds around Beijing city

Kankan Liu; Jiannong Quan; Yujing Mu; Qiang Zhang; Junfeng Liu; Yang Gao; Pengfei Chen; Delong Zhao; Haijun Tian


Atmosphere | 2015

In-Situ Aircraft Measurements of the Vertical Distribution of Black Carbon in the Lower Troposphere of Beijing, China, in the Spring and Summer Time

Delong Zhao; Xuexi Tie; Yang Gao; Qiang Zhang; Haijun Tian; Kai Bi; Yongli Jin; Pengfei Chen


Atmospheric Chemistry and Physics | 2018

Estimating the open biomass burning emissions in Central and Eastern China from 2003 to 2015 based on satellite observation

Jian Wu; Shaofei Kong; Fangqi Wu; Yi Cheng; Shurui Zheng; Qin Yan; Huang Zheng; Guowei Yang; Mingming Zheng; Dantong Liu; Delong Zhao; Shihua Qi


Atmospheric Environment | 2019

The impacts of pollution control measures on PM2.5 reduction: Insights of chemical composition, source variation and health risk

Huang Zheng; Shaofei Kong; Qin Yan; Fangqi Wu; Yi Cheng; Shurui Zheng; Jian Wu; Guowei Yang; Mingming Zheng; Lili Tang; Yan Yin; Kui Chen; Tianliang Zhao; Dantong Liu; Shuanglin Li; Shihua Qi; Delong Zhao; Tao Zhang; Jujun Ruan; Mingzhi Huang

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Dantong Liu

University of Manchester

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Shaofei Kong

China University of Geosciences

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Guowei Yang

China University of Geosciences

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Huang Zheng

China University of Geosciences

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Jian Wu

China University of Geosciences

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Mingming Zheng

China University of Geosciences

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Qin Yan

Nanjing University of Information Science and Technology

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Shihua Qi

China University of Geosciences

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Shurui Zheng

China University of Geosciences

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