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Si-Liang Li

Researcher at Tianjin University

Publications -  183
Citations -  4623

Si-Liang Li is an academic researcher from Tianjin University. The author has contributed to research in topics: Geology & Chemistry. The author has an hindex of 28, co-authored 133 publications receiving 2817 citations. Previous affiliations of Si-Liang Li include Chinese Academy of Sciences.

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Geochemistry of the dissolved load of the Changjiang Basin rivers: Anthropogenic impacts and chemical weathering

TL;DR: In this paper, the chemical and isotopic compositions of the dissolved load of the rivers of the Changjiang Basin, one of the largest riverine systems in the world, were analyzed.
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Using δ15N- and δ18O-Values To Identify Nitrate Sources in Karst Ground Water, Guiyang, Southwest China

TL;DR: In order to assess the sources and conversion of nitrate in the groundwater of Guiyang, Wang et al. as mentioned in this paper analyzed the major ions, δ15N-NH4+, δ 15N-NO3-, and δ18O-No3- in surface and groundwater samples collected during both summer and winter seasons.
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Sulfuric acid as an agent of carbonate weathering constrained by δ13CDIC: Examples from Southwest China

TL;DR: In this article, the authors used carbon isotopic evidence and water chemistry of springs and rivers from the Beipanjiang River basin (Guizhou Province, Southwest China) to demonstrate that sulfuric acid is also an important agent of rock weathering.
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Assessment of the sources of nitrate in the Changjiang River, China using a nitrogen and oxygen isotopic approach.

TL;DR: The sources and variability in nitrate of the Changjiang River are assessed for the first time using dual isotopic approach and there was a strong positive relationship between delta(15)N-NO(3)(-) and delta(18)O-NO (3)(-), which indicated that denitrification added to the enrichment of heavy isotopes of nitrate.
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Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model.

TL;DR: Overall, the present study quantitatively evaluates the spatio-temporal variations in nitrate sources in a subtropical watershed, and the high-frequency monitoring gives a better estimate of nitrate exports and proportional contributions of nitrates sources.