Lijun Tian

Dr. Lijun Tian

Institute of Geology & Geophysics, Chinese Academy of Sciences, Beijing, China
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 2021 in Agricultural Water Management
Verified
Journal Article
Closed access
FRFutian Ren
Futian Ren
GYGuang Yang
Guang Yang
WLWanjing Li
Wanjing Li
XHXinlin He
Xinlin He
YGYongli Gao
Yongli Gao
SLSaihua Liu
Saihua Liu

1 March 2020 in Science of The Total Environment
Verified
Journal Article
Closed access
guang yangguang yang
guang yang
Lijun TianLijun Tian
Lijun Tian
XLXiaolong Li
Xiaolong Li
XHXinlin He
Xinlin He
YGYongli Gao
Yongli Gao
PLPengfei Li
Pengfei Li

8 March 2022 in Communications Earth & Environment
Verified
Journal Article
Open access
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CSChijun Sun
Chijun Sun
Lijun TianLijun Tian
Lijun Tian
TSTimothy M. Shanahan
Timothy M. Shanahan
JPJudson W. Partin
Judson W. Partin
YGYongli Gao
Yongli Gao
JBJay Banner
Jay Banner
Tropical cyclones produce rainfall with extremely negative isotope values (δ18O and δ2H), but the controls on isotopic fractionation during tropical cyclones are poorly understood. Here we studied the isotopic composition of rainfall at sites across central Texas during Hurricane Harvey (2017) to better understand these processes. Rainfall δ18O trend towards more negative values as a result of Rayleigh distillation of precipitation-generating airmasses as they travel towards the center of the storm. Superimposed on these gradual changes are abrupt isotopic shifts with exceptionally low deuterium excess values. These appear to be controlled by microphysical processes associated with the passage of spiral rainbands over the sampling locations. Isotope-enabled climate modeling suggests that it may be possible to identify the signature of tropical cyclones from annually resolved isotopic proxy records, but will depend on the size of the storm and the proximity of the site to the core of the storm system.

5 January 2023 in Water
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Journal Article
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GAGulishengmu Anfuding
Gulishengmu Anfuding
guang yangguang yang
guang yang
Lijun TianLijun Tian
Lijun Tian
YPYue Pan
Yue Pan
ZHZhou Huang
Zhou Huang
Yi LiYi Li
Yi Li
The investigation of water resource carrying capacity (WRCC) in oasis cities in Northwest China is useful for guiding the sustainable development of arid regions. To quantify the WRCC of Shihezi, an oasis city in the Manas River Basin (MRB), Northwest China, a total of 21 indicators from three subsystems were selected to construct an evaluation index system based on the theory of the water resource–socio-economic–ecological complex system. Our study utilized a combination of the CRITIC method and the entropy weight method to determine the synthesis weight, the GRA-TOPSIS approach to comprehensively evaluate the WRCC, and the obstacle degree model to identify its main obstacle factors. Our results showed that the WRCC of Shihezi showed an increasing trend from 2011 to 2020, with the compositive index increasing from 0.3454 to 0.5210. The carrying capacities of the ecological environment and socio-economic subsystems were generally on the rise, but the rate of change was relatively gentle from 2017 to 2020. The carrying capacity index of the water resource subsystem dropped significantly from year to year from 2016 to 2020. The irrigation coverage rate, the proportion of agricultural water, water consumption per 10,000 CNY of GDP, the modulus of water production, water resource development and its utilization ratio, the water supply modulus, and the proportion of ecological water were the seven most significant obstacles. Our findings could serve as scientific references for enhancing WRCC and promoting the sustainable development of oasis cities in arid regions.

23 July 2020 in Annals of Glaciology
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Journal Article
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Lijun TianLijun Tian
Lijun Tian
YGYongli Gao
Yongli Gao
BWBlake Weissling
Blake Weissling
SAStephen Ackley
Stephen Ackley
The widespread occurrence of snow-ice formation on the pack ice plays a critical role in the mass balance of Antarctic sea ice. The stable isotope composition, ice texture and salinity of eight ice cores, obtained from the Amundsen Sea during the Oden Southern Ocean 2010/11 expedition from late December 2010 to January 2011, were investigated to illustrate the snow-ice growth process and its contribution to sea-ice development. Most previous research has utilized δ18O as an index tracer to determine the percentages of core length that contain meteoric water, i.e. snow ice. However, this standard practice of snow-ice identification might be biased due to normally low-resolution isotopic measurements and mixing/diffusion processes between the snow ice and underlying ice layers. Snow-ice contributions in these ice cores based instead on an updated isotope mixing model are also presented. Depth profiles of ice texture and salinity are described to serve as representations of the structures of these ice cores. Our isotope mixing model produced an average of 15.9% snow-ice contribution for pack ice in the Amundsen Sea, and meteoric water occupying 40% of snow-ice mass for all ice stations. These results are compared to previous investigations of snow-ice occurrence around Antarctica.

16 September 2022 in Water
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Journal Article
Open access
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Jie LiJie Li
Jie Li
Zhonghe PangZhonghe Pang
Zhonghe Pang
Lijun TianLijun Tian
Lijun Tian
HZHongyi Zhao
Hongyi Zhao
GBGuoying Bai
Guoying Bai
The stable isotopes of hydrogen and oxygen in precipitation provide a useful reference for the study of hydrological processes, but concerns have been raised regarding the established patterns in their variations in a monsoon climate zone. In this study, stable isotopes (δ18O and δ2H) of 539 daily precipitation samples from seven hydrometeorological stations in the Beijing area were used to investigate short-term isotopic variations and the controlling factors at a region with a monsoon climate. The δ18O in the precipitation increases from the northwest to the south, which is controlled by the monsoon from the south and continental moisture from the northwest. Consistently, both the high δ18O values and low deuterium excess values from May to September reveal the impact of the monsoon. The amount effect is significant during the monsoon season. In contrast, the T effect is significant, with a gradient of 0.4‰ per °C during the non-monsoon season. A Rayleigh distillation model indicates that the moisture source and residual vapor fraction are the two most important factors in controlling the δ18O patterns in precipitation in a monsoon region, independent of temperature. The result of this study is helpful for the understanding of the regional atmospheric water cycle.