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Featured researches published by Yali Lei.


Science of The Total Environment | 2016

Chemical profiles of urban fugitive dust PM2.5 samples in Northern Chinese cities

Zhenxing Shen; Jian Sun; Junji Cao; Leiming Zhang; Qian Zhang; Yali Lei; Jinjin Gao; Rujin Huang; Suixin Liu; Yu Huang; Chongshu Zhu; Hongmei Xu; Chunli Zheng; Pingping Liu; Zhiguo Xue

Urban fugitive dust PM2.5 samples were collected in 11 selected cities in North China, and 9 ions (SO4(2-), NO3(-), Cl(-), F(-), Na(+), NH4(+), K(+), Mg(2+), and Ca(2+)) and 22 elements (Si, Al, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Br, Rb, Sr, Sn, Sb, Ba, and Pb) were determined to investigate chemical profiles of PM2.5. The coefficient of divergence (CD) was used to compare the similarities of the chemical profiles for fugitive dust among three regions in North China, and the results showed that their composition are quite similar. Total water soluble ions occupied 9.3% and 10.0% on average of road dust and construction dust, respectively, indicating that most of the materials in urban fugitive dust samples were insoluble. Ca(2+) was the most abundant cation and SO4(2-) dominated in anions. Soil dust loading was calculated to occupy 70.8% and 83.6% in road dust and construction dust, respectively. Ca, Si, Fe, and Al were the most abundant elements in all the samples, and Ca was absolutely the most abundant specie among the 22 detected elements in construction dust samples. Chemical species ratios were used to highlight the characteristics of urban fugitive dust by comparing with other types of aerosols. High Ca/Al ratio was a good marker to distinguish urban fugitive dust from Asian dust and Chinese loess. In addition, low K(+)/K and NO3(-)/SO4(2-), and high Zn/Al and Pb/Al ratios were good indicators to separate urban fugitive dust from desert dust, Chinese loess, or urban PM2.5 samples.


Science of The Total Environment | 2019

Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China

Jian Sun; Zhenxing Shen; Leiming Zhang; Yali Lei; Xuesong Gong; Qian Zhang; Tian Zhang; Hongmei Xu; Song Cui; Qiyuan Wang; Junji Cao; Jun Tao; Ningning Zhang; Renjian Zhang

Urban fugitive (road and construction) dust PM2.5 samples were collected in 21 cities of seven regions in China. Seven water-soluble ions, eight sub-fractions of carbonaceous components, and 19 elements were determined to investigate the chemical profiles of urban fugitive dust. Among the analyzed chemical compositions and on regional average, the elemental compositions showed the highest proportion (12.5-28.9% in road dust (RD) and 13.1-38.0% in construction dust (CD)), followed by water-soluble ions (5.1-19.0% in RD and 4.2-16.4% in CD) and carbonaceous fractions (5.4-9.6% in RD and 4.9-9.3% in CD). Chemical compositions measured in CD were all slightly lower than those in RD although statistically insignificant (p > 0.05). Soil dust, which was estimated from Fe concentration, was proved to be the biggest contributor to urban fugitive dust PM2.5 mass. While, it showed a higher contribution in Northern China (71.5%) than in Southern China (52.1%). Higher enrichment factors were found for elemental S, Zn and Pb in RD than CD, reflecting stronger anthropogenic sources (i.e. vehicle exhaust) in RD. Low NO3-/SO42- and high SO42-/K+ ratios both indicated that fugitive dust was strongly influenced by stationary sources (e.g. coal combustion), and this influence was especially strong in Northern China. Coefficients of divergence proved that dust profiles within the same region were more similar than across regions, reflecting that urban fugitive dust was influenced more by local sources than long-range transport.


Atmospheric Research | 2017

Particulate matters emitted from maize straw burning for winter heating in rural areas in Guanzhong Plain, China: Current emission and future reduction

Jian Sun; Zhenxing Shen; Junji Cao; Leiming Zhang; Tingting Wu; Qian Zhang; Xiuli Yin; Yali Lei; Yu Huang; R-J Huang; Suixin Liu; Yongming Han; Hongmei Xu; Chunli Zheng; Pingping Liu


Atmospheric Environment | 2017

Optical properties and possible sources of brown carbon in PM2.5 over Xi'an, China

Zhenxing Shen; Qian Zhang; Junji Cao; Leiming Zhang; Yali Lei; Yu Huang; Rujin Huang; Jinjin Gao; Zhuzi Zhao; Chongshu Zhu; Xiuli Yin; Chunli Zheng; Hongmei Xu; Suixin Liu


Atmospheric Environment | 2016

Retrieving historical ambient PM2.5 concentrations using existing visibility measurements in Xi'an, Northwest China

Zhenxing Shen; Junji Cao; Leiming Zhang; Qian Zhang; Rujin Huang; Suixin Liu; Zhuzi Zhao; Chongshu Zhu; Yali Lei; Hongmei Xu; Chunli Zheng


Aerosol Science and Engineering | 2017

Methanol Extracted Brown Carbon in PM2.5 Over Xi’an, China: Seasonal Variation of Optical Properties and Sources Identification

Zhenxing Shen; Yali Lei; Leiming Zhang; Qian Zhang; Yaling Zeng; Jun Tao; Chongshu Zhu; Junji Cao; Hongmei Xu; Suixin Liu


Science of The Total Environment | 2018

Source, health risk and composition impact of outdoor very fine particles (VFPs) to school indoor environment in Xi'an, Northwestern China

Hongmei Xu; Benjamin Guinot; Junji Cao; Yaqi Li; Xinyi Niu; Kin Fai Ho; Zhenxing Shen; Suixin Liu; Ting Zhang; Yali Lei; Qian Zhang; Jian Sun; Jinjin Gao


Atmospheric Research | 2018

Impact of primary and secondary air supply intensity in stove on emissions of size-segregated particulate matter and carbonaceous aerosols from apple tree wood burning

Jian Sun; Zhenxing Shen; Leiming Zhang; Qian Zhang; Yali Lei; Junji Cao; Yu Huang; Suixin Liu; Chunli Zheng; Hongmei Xu; Hongxia Liu; Hua Pan; Pingping Liu; Renjian Zhang


Atmosphere | 2018

Day-Night Differences, Seasonal Variations and Source Apportionment of PM10-Bound PAHs over Xi’an, Northwest China

Xin Wang; Zhenxing Shen; Yaling Zeng; Fobang Liu; Qian Zhang; Yali Lei; Hongmei Xu; Junji Cao; Liu Yang


Atmospheric Environment | 2017

Variations of aerosol size distribution, chemical composition and optical properties from roadside to ambient environment: A case study in Hong Kong, China

Qian Zhang; Zhi Ning; Zhenxing Shen; Guoliang Li; Junke Zhang; Yali Lei; Hongmei Xu; Jian Sun; Leiming Zhang; Dane Westerdahl; Nirmal Kumar Gali; Xuesong Gong

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Hongmei Xu

Chinese Academy of Sciences

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Zhenxing Shen

Xi'an Jiaotong University

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Qian Zhang

Xi'an Jiaotong University

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Junji Cao

Chinese Academy of Sciences

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Jian Sun

Xi'an Jiaotong University

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Suixin Liu

Chinese Academy of Sciences

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Qiyuan Wang

Chinese Academy of Sciences

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Yaling Zeng

Xi'an Jiaotong University

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Chunli Zheng

Xi'an Jiaotong University

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