Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Qingyan Fu is active.

Publication


Featured researches published by Qingyan Fu.


Science of The Total Environment | 2016

Intense secondary aerosol formation due to strong atmospheric photochemical reactions in summer: observations at a rural site in eastern Yangtze River Delta of China

Dongfang Wang; Bin Zhou; Qingyan Fu; Qianbiao Zhao; Qi Zhang; Jianmin Chen; Xin Yang; Yusen Duan; Juan Li

High pollution episodes of PM2.5 and O3 were frequently observed at a rural site (N31.0935º, E120.978°) in eastern Yangtze River Delta (YRD) in summer. To study the impacts of photochemical reactions on secondary aerosol formation in this region, we performed real-time measurements of the mass concentration and composition of PM2.5, particle size distribution (13.6~736.5 nm), concentrations of gas pollutants including O3, SO2, NO2, CO, non-methane hydrocarbons (NMHC)), and nitrate radical in 2013. During the sampling period, the average concentration of PM2.5 was 76.1 (± 16.5) μg/m(3), in which secondary aerosol species including sulfate, nitrate, ammonium, and secondary organic aerosol (SOA) accounted for ~ 62%. Gas-phase oxidation of SO2 was mainly responsible for a fast increase of sulfate (at 1.70 μg/m(3)/h) in the morning. Photochemical production of nitric acid was intense during daytime, but particulate nitrate concentration was low in the afternoon due to high temperature. At night, nitrate was mainly formed through the hydrolysis of NO3 and/or N2O5. The correlations among NMHC, Ox (= O3 + NO2), and SOA suggested that a combination of high emission of hydrocarbons and active photochemical reactions led to the rapid formation of SOA. In addition, several new particle formation and fast growth events were observed despite high ambient aerosol loading. Since the onset of new particle events was accompanied by a rapid increase of H2SO4 and SOA, enhanced formation of sulfate and SOA driven by photochemical oxidation likely promoted the formation and growth of new particles. Together, our results demonstrated that strong atmospheric photochemical reactions enhanced secondary aerosols formation and led to the synchronous occurrence of high concentrations of PM2.5 and O3 in a regional scale. These findings are important for better understanding the air pollution in summer in YRD.


Science of The Total Environment | 2017

Sources and spatial distribution of particulate polycyclic aromatic hydrocarbons in Shanghai, China

Yue Liu; Caiqing Yan; Xiang Ding; Xinming Wang; Qingyan Fu; Qianbiao Zhao; Yihua Zhang; Yusen Duan; Xinghua Qiu; Mei Zheng

Atmospheric particulate polycyclic aromatic hydrocarbons (PAHs) have been drawing sustained attention due to their health risk and effects on air pollution. It is essential to determine the main sources and reduce atmospheric levels of PAHs to protect human health. PAHs in PM2.5 have been detected at five sites located in five districts in Shanghai, a modern metropolitan city in China. Spatial and temporal variations of composition profiles and sources of PAHs at each site in each season were investigated. The results showed that atmospheric particulate PAHs level in Shanghai was the lowest in summer and the highest in winter, dominated by high molecular weight (HMW) PAHs. Analysis with a combination of coefficients of Pearsons correlation and coefficient of divergences indicated heterogeneous spatial and temporal distribution for LMW PAHs and homogenous distribution for HMW PAHs. Diagnostic ratios and positive matrix factorization (PMF) model both identified pyrogenic sources as the main contributor of PAHs in Shanghai, with vehicular source contribution of 32-43% to the total PAHs annually and around 20% from biomass burning emissions in urban and urban buildup areas. While in winter, coal combustion and biomass burning could act as two major sources of PAHs in suburban areas, which could contribute to >70% of total PAHs measured in PM2.5 in Shanghai.


Environment International | 2018

Estimation of personal ozone exposure using ambient concentrations and influencing factors

Yue Niu; Jing Cai; Yongjie Xia; Haofei Yu; Renjie Chen; Zhijing Lin; Cong Liu; Chen Chen; Weidong Wang; Li Peng; Xiaoling Xia; Qingyan Fu; Haidong Kan

Evidence is limited regarding whether ambient monitoring can properly represent personal ozone exposure. We conducted a longitudinal panel study to measure personal exposure to ozone using real-time personal ozone monitors. Corresponding ambient ozone concentrations and possible influencing factors (meteorological conditions and activity patterns) were also collected. We used linear mixed-effect models to analyze personal-ambient ozone concentration associations and possible influencing factors. Ambient ozone concentrations were around two to three times higher than personal ozone (43.1 μg/m3 on average) and their correlations were weak with small slopes (0.35) and marginal R square (RM2) values (0.24). Larger RM2 values were found under high temperature (>29.5 °C), low humidity (<62.1%), good ventilation conditions (>4 h) and for individuals spent longer time outdoors (>0.6 h). In final model, personal ozone exposure was positively associated with ambient concentrations and ventilation conditions, but inversely correlated with ambient temperature and humidity. The models explained >50% of personal ozone concentration variabilities. Our results highlight that ambient ozone concentration alone is not a suitable surrogate for individual exposure assessment. Meteorological conditions (temperature and humidity) and activity patterns (windows opening and outdoor activities) that affecting personal ozone exposure should be taken into account.


Science of The Total Environment | 2019

Characteristics of atmospheric PM2.5 composition during the implementation of stringent pollution control measures in shanghai for the 2016 G20 summit

Haiwei Li; Dongfang Wang; Long Cui; Yuan Gao; Juntao Huo; Xinning Wang; Z.H. Zhang; Yan Tan; Yu Huang; Junji Cao; Judith C. Chow; S.C. Lee; Qingyan Fu

To reduce air pollution within a 300 km radius from Hangzhou (the capital city of Zhejiang Province in East China) for the 2016 G20 summit (9/4-9/5), the 14-day (8/24-9/6) stringent pollution control measures were implemented in Shanghai. Changes in atmospheric concentrations during the same 14-day period from 2014 to 2016 were examined at two Supersites, i.e., urban Pudong site (PD) and Dianshan Lake regional site (DSL). Up to 50% reductions were found for PM2.5, with 13.1% and 9.7% reductions for SO2 and NO2, respectively. No apparent improvements were found for 8-h average O3 concentrations. Large reductions were also found for SO42- (51.4%), NO3- (68.8%), and NH4+ (84.4%), on average. Elevated coefficient of divergence values (0.52-0.56) suggested that pollutant sources differed at the two sites. Biomass burning, resuspended dust, combustion, iron and steel industry, sea salt, secondary aerosol, and vehicle exhaust were identified at the DSL site by Positive Matrix Factorization (PMF). Secondary aerosol and vehicle exhaust accounted for 45.7% of PM2.5 mass, followed 11.2%-13.7% each by industry, resuspended dust, and coal and oil combustion.


Environment International | 2018

Fine particulate matter constituents and stress hormones in the hypothalamus–pituitary–adrenal axis

Yue Niu; Renjie Chen; Yongjie Xia; Jing Cai; Zhekang Ying; Zhijing Lin; Cong Liu; Chen Chen; Li Peng; Zhuohui Zhao; Wenhao Zhou; Jianmin Chen; Dongfang Wang; Juntao Huo; Xinning Wang; Qingyan Fu; Haidong Kan

Fine particulate matter (PM2.5) has recently been associated with the activation of the hypothalamus-pituitary-adrenal (HPA) axis, increasing cardiometabolic risks. However, it is unknown which constituents of PM2.5 were mainly responsible for these associations. In a longitudinal panel study with 4 repeated measurements among 43 college students in Shanghai, China, we measured serum levels of corticotropin releasing hormone (CRH), adrenocorticotropic hormone (ACTH) and cortisol, as indicators of HPA axis activation. Then, we evaluated the associations of 22 constituents of PM2.5 with these stress hormones using linear mixed-effect models. During the study period, the average daily concentration of PM2.5 was 41.1 μg/m3. We found that short-term exposure to PM2.5 was associated with elevated levels of the 3 stress hormones. We observed that water-soluble inorganic ions, especially nitrate (NO3-) and ammonium, had stronger influences on 3 hormones. Six metallic elements, including Zn, Mn, Cu, Fe, Br, and Cr, had positive but generally instable associations with 3 hormones. The effects of organic carbon and elemental carbon on hormones were generally weak. When correcting for multiple comparisons using false discovery rate, NO3- was still significantly associated with CRH, but other important associations turned to be insignificant. An interquartile range increase in NO3- on the previous day were associated with 12.13% increase (95% confidence interval: 4.45%, 20.37%) in CRH. Our findings suggested that water-soluble inorganic constituents of PM2.5 (especially, NO3-) might have stronger influences on the activation of HPA axis than carbonaceous and elemental components.


Air Quality, Atmosphere & Health | 2018

Impact of mixed anthropogenic and natural emissions on air quality and eco-environment—the major water-soluble components in aerosols from northwest to offshore isle

Yilun Jiang; Guoshun Zhuang; Qiongzhen Wang; Kan Huang; Congrui Deng; Guangyuan Yu; Chang Xu; Qingyan Fu; Yanfen Lin; Joshua S. Fu; Mei Li; Zhen Zhou

Based on more than 300 atmospheric TSP and PM2.5 samples collected at five sites over China in 2007 and 2008, characteristics, sources, and interactions of the major water-soluble species were investigated for a better understanding of their role in urban air quality and offshore eco-environment. From the dust source regions in Northwestern China to an offshore isle over the East China Sea, concentration levels and fine/coarse particle distributions of five representative water-soluble components were well elucidated, reflecting the distinct differences of geo-history, location, and present economic situation among the target areas. NO3−/SO42− mass ratios reflected significant divergence of motorization among the studied regions. Specifically, a case study during the World Car-Free Day proved that traffic restriction measures could indeed help mitigate the aerosol species formed from vehicle emissions. Investigation on the molar concentration stoichiometry and mass percentage variations of particulate NO3−, SO42−, and NH4+ revealed that NH3 was a driving factor in the formation of major secondary water-soluble ions in atmospheric fine particles over urban areas. Based on the prevailing wind analysis, observation over an offshore isle clearly indicated the influence of the relative strength of anthropogenic sources and ocean-related natural sources on the formation and size distribution of MSA (methanesulfonic acid), a major water-soluble organic component in aerosol. Annual dry deposition flux of particulate NO3− and NH4+ over the East China Sea was estimated based on the strength of an improved calculation formula. Reductive nitrogen was found to be the major form of the deposited atmospheric inorganic nitrogen, accounting for ~ 69% of the total nitrogen depositions.


Atmospheric Environment | 2008

Mechanism of formation of the heaviest pollution episode ever recorded in the Yangtze River Delta, China

Qingyan Fu; Guoshun Zhuang; Jing Wang; Chang Xu; Kan Huang; Juan Li; Bing Hou; Tao Lu; David G. Streets


Atmospheric Chemistry and Physics | 2011

Typical types and formation mechanisms of haze in an Eastern Asia megacity, Shanghai

Kan Huang; Guoshun Zhuang; Yanfen Lin; Joshua S. Fu; Qiongzhen Wang; Tingna Liu; Ruxin Zhang; Yilun Jiang; Congrui Deng; Qingyan Fu; N. C. Hsu; B. Cao


Journal of Geophysical Research | 2003

Contribution of biomass and biofuel emissions to trace gas distributions in Asia during the TRACE‐P experiment

Jung-Hun Woo; David G. Streets; Gregory R. Carmichael; Youhua Tang; Bongin Yoo; Won-Chan Lee; Narisara Thongboonchoo; Simon Pinnock; Gakuji Kurata; Itsushi Uno; Qingyan Fu; S. A. Vay; Glen W. Sachse; D. R. Blake; Alan Fried; Donald C. Thornton


Journal of Geophysical Research | 2006

Using CO2:CO Correlations to Improve Inverse Analyses of Carbon Fluxes

Paul I. Palmer; Parvadha Suntharalingam; Dylan B. A. Jones; Daniel J. Jacob; David G. Streets; Qingyan Fu; S. A. Vay; Glen W. Sachse

Collaboration


Dive into the Qingyan Fu's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joshua S. Fu

University of Tennessee

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

David G. Streets

Argonne National Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge