Kai Zhang

Prof. Kai Zhang

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2017 in Environmental Pollution
Verified
Journal Article
Closed access
YLYan Lyu
Yan Lyu
KZKai Zhang
Kai Zhang
FCFahe Chai
Fahe Chai
TCTiantao Cheng
Tiantao Cheng
QYQing Yang
Qing Yang
XLXiang Li
Xiang Li

1 March 2021 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Open access
MZMinkang Zhi
Minkang Zhi
XZXi Zhang
Xi Zhang
KZKai Zhang
Kai Zhang
SUSimon J. Ussher
Simon J. Ussher
WLWenli Lv
Wenli Lv
FMFan Meng
Fan Meng
In order to investigate the pollution characteristics of size-segregated particles and metal elements (MEs) after the Chinese Air Pollution Prevention Action Plan was released in 2013, an intensive field campaign was conducted in the suburban area of Chaoyang District, Beijing in winter 2016. The size distributions of particle mass concentrations were bimodal, with the first peak in the fine fraction (0.4-2.1 µm) and the second peak in the coarse fraction (3.3-5.8 µm). Moreover, the proportion of fine particles increased and the proportion of coarse particles decreased as the pollution level was more elevated. It was found that the composition of coarse particles is as important as that of fine particles when pollution of aerosol metals in the atmosphere in 2016 were compared to 2013. In addition, according to the size distribution characteristics, 23 MEs were divided into three groups: (a) Fe, Co, Sr, Al, Ti, Ba, and U, which concentrated in coarse mode; (b) Zn, As, Cd, Tl, and Pb, which concentrated in fine mode; and (c) Na, K, Be, V, Cr, Mn, Ni, Cu, Mo, Ag, and Sn, showing bimodal distribution. Under clean air, slight pollution and moderate pollution conditions, most elements maintained their original size distributions, while under severe pollution, the unimodal distributions of most MEs became bimodal distributions. The factors analysis combined with size distributions indicated that Na, Zn, Mo, Ag, Cd, and Tl, showing the moderate to severe contamination on environment, were significantly influenced by diffuse regional emissions or anthropogenic source emissions (vehicle exhaust emissions and combustion process). The environmental risk assessment revealed that the heavy metal loading in the atmospheric particles collected had a high potential for ecological risk to the environment during sampling period because of the high contribution of Cd, Tl, Zn and Pb.

1 September 2018 in Journal of Environmental Sciences
Verified
Journal Article
Closed access
KZKai Zhang
Kai Zhang
FCFahe Chai
Fahe Chai
ZZZilong Zheng
Zilong Zheng
QYQing Yang
Qing Yang
XZXuecai Zhong
Xuecai Zhong
GZGuangzhu Zhou
Guangzhu Zhou

1 September 2018 in Journal of Environmental Sciences
Verified
Journal Article
Closed access
JWJinhe Wang
Jinhe Wang
XZXi Zhang
Xi Zhang
QYQing Yang
Qing Yang
KZKai Zhang
Kai Zhang
YZYue Zheng
Yue Zheng
Guanhua ZhouGuanhua Zhou
Guanhua Zhou

21 February 2018 in Atmospheric Chemistry and Physics
Verified
Journal Article
Open access
PDF file
XSXiaona Shang
Xiaona Shang
KZKai Zhang
Kai Zhang
FMFan Meng
Fan Meng
SWShihao Wang
Shihao Wang
MLMeehye Lee
Meehye Lee
YZYuxi Zhao
Yuxi Zhao
For PM2.5 filter samples collected daily at the Chinese Research Academy of Environmental Sciences (Beijing, China) from December of 2013 to February of 2014 (the winter period), chemical characteristics and sources were investigated with an emphasis on haze events in different alert levels. During the 3 months, the average PM2.5 concentration was 89 µg m−3, exceeding the Chinese national standard of 75 µg m−3 in 24 h. The maximum PM2.5 concentration was 307 µg m−3, which characterizes developed-type pollution (PM2.5 / PM10>0.5) in the World Health Organization criteria. PM2.5 was dominated by SO42−, NO3−, and pseudo-carbonaceous compounds with obvious differences in concentrations and proportions between non-haze and haze episodes. The non-negative matrix factorization (NMF) analysis provided reasonable PM2.5 source profiles, by which five sources were identified: soil dust, traffic emission, biomass combustion, industrial emission, and coal combustion accounting for 13, 22, 12, 28, and 25 % of the total, respectively. The dust impact increased with northwesterlies during non-haze periods and decreased under stagnant conditions during haze periods. A blue alert of heavy air pollution was characterized by the greatest contribution from industrial emissions (61 %). During the Chinese Lantern Festival, an orange alert was issued and biomass combustion was found to be the major source owing to firework explosions. Red-alert haze was almost equally contributed by local traffic and transported coal combustion emissions from the vicinity of Beijing (approximately 40 % each) that was distinguished by the highest levels of NO3− and SO42−, respectively. This study also reveals that the severity and source of haze are largely dependent on meteorological conditions.

1 September 2019 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Closed access
XZXi Zhang
Xi Zhang
KZKai Zhang
Kai Zhang
WLWenli Lv
Wenli Lv
BLBing Liu
Bing Liu
MAMasahide Aikawa
Masahide Aikawa
JWJinhe Wang
Jinhe Wang