Zhiguo Li

Prof. Zhiguo Li


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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11 October 2022 in Geophysical Research Letters
Verified
Journal Article
Closed access
YLYanbin Lei
Yanbin Lei
KYKun Yang
Kun Yang
Walter ImmerzeelWalter Immerzeel
Walter Immerzeel
PSPeiping Song
Peiping Song
BBBroxton W. Bird
Broxton W. Bird
ZLZhiguo Li
Zhiguo Li


10 December 2014 in Geomicrobiology Journal
Verified
Journal Article
Closed access
SZShuhong Zhang
Shuhong Zhang
SHShugui Hou
Shugui Hou
XQXiang Qin
Xiang Qin
WDWentao Du
Wentao Du
FLFeng Liang
Feng Liang
ZLZhiguo Li
Zhiguo Li

31 May 2025 in CATENA
Verified
Journal Article
Open access
ZLZhiguo Li
Zhiguo Li
Wanqin GuoWanqin Guo
Wanqin Guo
YWYetang Wang
Yetang Wang
YZYongqiang Zhang
Yongqiang Zhang
SZShun Zhang
Shun Zhang
NXNing Xu
Ning Xu

22 September 2021 in Polish Journal of Environmental Studies
Verified
Journal Article
Open access
RYRongpeng Yao
Rongpeng Yao
ZLZhiguo Li
Zhiguo Li
YZYulun Zhang
Yulun Zhang
JWJiajia Wang
Jiajia Wang
SZSongmei Zhang
Songmei Zhang
HXHuidao Xu
Huidao Xu
High concentrations of particulate matter with diameters less than 2.5 μm (PM2.5) have seriously affected the sustainable economic and social development of Henan Province. Analysis of the temporal and spatial distribution of PM2.5 and source analysis can provide a scientific basis for local pollution prevention and control. Using data from 17 atmospheric monitoring stations from 2016 to 2018, the spatiotemporal evolution of PM2.5 concentrations and source apportionment of Henan Province was explored using spatial autocorrelation analysis, empirical orthogonal function (EOF), potential source contribution factor (PSCF) analysis, and concentration weight trajectory (CWT) analysis. The PM2.5 concentration demonstrated varied annual, seasonal, monthly and daily characteristics from 2016 to 2018. The annual average concentrations decreased each year at an average rate of 5.3 μg/m3. The seasonal variation was “low in spring and summer while high in autumn and winter”. The monthly average and daily average over-standard rates exhibited a U-shaped pattern, with low values in the summer and high values in the winter. The daily average presented a pulse-type fluctuation. The areas with high concentrations of PM2.5 were primarily distributed in the central and northern parts of Henan Province, while the areas with low values were primarily distributed in the southern part of Henan Province. PM2.5 concentrations were negatively correlated with temperature, with the highest concentration at 0-5ºC, and strongly positively correlated with relative humidity in winter, with the highest PM2.5 concentrations between 80% and 90% relative humidity. Overall, the most important pollution transmission in winter came from southern Shanxi and northern Shaanxi, followed by Anhui and Shandong, again from the Beijing-Tianjin-Hebei region, and the smallest transmission came from Hubei. The area within Henan Province was also a significant contributor.

23 December 2015 in PLOS ONE
Verified
Journal Article
Open access
PDF file
ZLZhiguo Li
Zhiguo Li
KFKuangsheng Fan
Kuangsheng Fan
LTLide Tian
Lide Tian
BSBenlin Shi
Benlin Shi
SZShuhong Zhang
Shuhong Zhang
JZJingjing Zhang
Jingjing Zhang
Inland glacier and lake dynamics on the Tibetan Plateau (TP) and its surroundings over recent decades are good indicators of climate change and have a significant impact on the local water supply and ecosystem. The glacier and lake changes in Karakoram are quite different from those of the Himalayas. The mechanisms of the complex and regionally heterogeneous behavior of the glacier and lake changes between the Karakorum and Himalayas are poorly understood. Based on satellite images and meteorological data of Shiquanhe, Hetian, and Yutian stations, we demonstrate that the overall retreat of glaciers and increase of lake area at the transition zone between the Karakoram and Himalayas (TKH) have occurred since 1968 in response to a significant global climate change. Glacial areas in the Songmuxi Co basin, Zepu Co basin, Mang Co basin and Unnamed Co decreased by -1.98 ± 0.02 km2, -5.39 ± 0.02 km2, -0.01 ± 0.02 km2, and -0.12 ± 0.02 km2 during the study period, corresponding to losses of -1.42%, -2.86%, -1.54%, and -1.57%, respectively. The lake area of the Songmuxi Co, Zepu Co, Mang Co and Unnamed Co increased by 7.57 ± 0.02 km2, 8.53 ± 0.02 km2, 1.35 ± 0.02 km2, and 0.53±0.02 km2, corresponding to growths of 30.22%, 7.55%, 11.39%, and 8.05%, respectively. Increases in temperature was the main reason for glacier retreat, whereas decreases in potential evapotranspiration of lakes, increases in precipitation, and increases in melt water from glaciers and frozen soil all contributed to lake area expansion.