Zhao Hujia

Dr. Zhao Hujia


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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9 January 2015 in Atmosphere
Verified
Journal Article
Open access
PDF file
YLYang Li
Yang Li
QCQuanliang Chen
Quanliang Chen
ZHZhao Hujia
Zhao Hujia
LWLin Wang
Lin Wang
RTRan Tao
Ran Tao
Daily average monitoring data for PM10, PM2.5 and PM1.0 and meteorological parameters at Chengdu from 2009 to 2011 are analyzed using statistical methods to replicate the effect of urban air pollution in Chengdu metropolitan region of the Sichuan Basin. The temporal distribution of, and correlation between, PM10, PM2.5 and PM1.0 particles are analyzed. Additionally, the relationships between particulate matter (PM) and certain meteorological parameters are studied. The results show that variations in the average mass concentrations of PM10, PM2.5 and PM1.0 generally have the same V-shaped distributions (except for April), with peak/trough values for PM average mass concentrations appearing in January/September, respectively. From 2009 to 2011, the inter-annual average mass concentrations of PM10, PM2.5 and PM1.0 fall year on year. The correlation coefficients of daily concentrations of PM10 with PM2.5, PM10 with PM1.0, and PM2.5 with PM1.0 were high, reaching 0.91, 0.83 and 0.98, respectively. In addition, the average ratios of PM2.5/PM10, PM1.0/PM10 and PM1.0/PM2.5 were 85%, 78% and 92%, respectively. From this, fine PM is determined to be the principal pollutant in the Chengdu region. Except for averaged air pressure values, negative correlations exist between other meteorological parameters and PM. Temperature and air pressure influenced the transport and accumulation of PM by affecting convection. Winds promoted PM dispersion. Precipitation not only accelerated the deposition of wet PM, but also inhibited surface dust transport. There was an obvious correlation between PM and visibility; the most important cause of visibility degradation was due to the light extinction of aerosol particles.

ZHZhao Hujia
Zhao Hujia
HCHuizheng Che
Huizheng Che
YMYanjun Ma
Yanjun Ma
YWYangfeng Wang
Yangfeng Wang
HYHongbin Yang
Hongbin Yang
XZXiaoye Zhang
Xiaoye Zhang
The variations of visibility, PM-mass concentration and mixing-layer height (MLH) in four major urban/industry regions (Shenyang, Anshan, Benxi and Fushun) of central Liaoning in Northeast China are evaluated from 2009 to 2012 to characterize their dynamic effect on air pollution. The annual mean visibilities are about 13.7 ± 7.8, 13.5 ± 6.5, 12.8 ± 6.1 and 11.5 ± 6.8 km in Shenyang, Anshan, Benxi and Fushun, respectively. The pollution load (PM × MLH) shows a weaker vertical diffusion in Anshan, with a higher PM concentration near the surface. High concentrations of fine-mode particles may be partially attributed to the biomass-burning emissions from September in Liaoning Province and surrounding regions in Northeast China as well as the coal burning during the heating period with lower MLH in winter. The visibility on non-hazy fog days is about 2.5–3.0 times higher than that on hazy and foggy days. The fine-particle concentrations of PM2.5 and PM1.0 on hazy and foggy days are ~1.8–1.9 times and ~1.5 times higher than those on non-hazy foggy days. The MLH declined more severely during fog pollution than in haze pollution. The results of this study can provide useful information to better recognize the effects of vertical pollutant diffusion on air quality in the multi-cities of central Liaoning Province in Northeast China.

1 January 2021 in Atmospheric Pollution Research
Verified
Journal Article
Closed access
YLYuche Liu
Yuche Liu
ZHZhao Hujia
Zhao Hujia
YMYanjun Ma
Yanjun Ma
HYHongbin Yang
Hongbin Yang
YWYangfeng Wang
Yangfeng Wang
WQWeijun Quan
Weijun Quan

1 April 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
ZHZhao Hujia
Zhao Hujia
KGKe Gui
Ke Gui
YMYanjun Ma
Yanjun Ma
YWYangfeng Wang
Yangfeng Wang
YWYaqiang Wang
Yaqiang Wang
XZXiaoye Zhang
Xiaoye Zhang

1 November 2019 in Atmospheric Pollution Research
Verified
Journal Article
Closed access
ZHZhao Hujia
Zhao Hujia
ZWZhenling Wu
Zhenling Wu
JLJingle Liu
Jingle Liu
GWGuoliang Wu
Guoliang Wu

5 August 2016 in Atmosphere
Verified
Journal Article
Open access
PDF file
ZHZhao Hujia
Zhao Hujia
HCHuizheng Che
Huizheng Che
YWYaqiang Wang
Yaqiang Wang
HWHong Wang
Hong Wang
YMYanjun Ma
Yanjun Ma
XZXiaoye Zhang
Xiaoye Zhang
Measurements of the aerosol optical depth (AOD) and the Ångström exponent were retrieved from level 1.5 data obtained by the CE318 sun photometer at Dalian monitoring station from April 2007 to April 2012 to characterize the aerosol spatial and temporal characteristics in this coastal region of Northeast China. The results suggest that the highest mean ± SD value for the AOD over Dalian occurred in the month of July (0.86 ± 0.45), whereas a lower value was observed in the month of January (0.42 ± 0.31). The monthly mean Ångström exponent was at a maximum (about 1.27) in September and October and the minimum value of about 0.60 was recorded in March. The frequency distributions of the AOD and Ångström exponent at Dalian both presented a single peak distribution, with peak values of 0.26 and 1.06, respectively. The scatter grams of the AOD and Ångström exponent suggested that the aerosol size in Dalian was affected by both fine and coarse particles in different seasons. The spectral difference in Ångström exponent wavelength pairs between 440–675 and 675–870 nm indicate that high AOD440 nm values (>1.50) could be clearly identified by the fine mode growth in summer and the addition of coarse mode particles in spring over Dalian. The AOD440 nm value on a foggy day was almost 2.15 times larger than that on a day with high levels of dust. The Ångström exponents (440–870 nm) were about 0.13 and 1.46 on the days with high levels of dust and on the foggy days, respectively.