Genetic Mechanism of Geothermal Water in Typical Structural Belts from the Altay and Tianshan to the Kunlun Mountains in Xinjiang: Evidence from Hydrogeochemistry and δ2H–δ18O Isotopes

This study investigates geothermal waters in the Xinjiang region through hydrogeochemical methods, including cluster analysis, ionic ratios, and isotopic analysis. Cluster analysis categorized the geothermal water samples into three distinct groups (G1, G2, and G3). The predominant hydrochemical facies are SO4-HCO3-Na, SO4-Cl-Na, and Cl-Na types, whose formation is controlled by multiple factors. Evidence from molar ratios of major ions suggests that geothermal waters in Group G1 are predominantly governed by water–rock interactions, whereas Groups G2 and G3 are mainly influenced by evaporative concentration. Hydrogen and oxygen isotopic signatures confirm that meteoric water serves as the primary recharge source for these geothermal waters. The spatial correlation between regional tectonic features and most geothermal discharge points demonstrates a consistent relationship between geothermal water occurrence and structural distribution in Xinjiang. Additionally, a conceptual circulation model is proposed wherein meteoric water undergoes deep circulation following local recharge, ascends along fault zones under tectonic pressure, and mixes with shallow groundwater. This research primarily elucidates the hydrogeochemical characteristics and recharge mechanisms of geothermal resources in Xinjiang, thereby providing a scientific basis for their future development and utilization.

Authors

Institutions

Publication Details

Journal
Water
Published
2025-10-13
DOI
https://doi.org/10.3390/w17202946
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic Mechanism of Geothermal Water in Typical Structural Belts from the Altay and Tianshan to the Kunlun Mountains in Xinjiang: Evidence from Hydrogeochemistry and δ2H–δ18O Isotopes

Yanjun Li, Xinghua Qi, Dongqiang Hu, Zhilin Qi et al.
Water
Hydrocarbon exploration and reservoir analysis
article

Genetic Mechanism of Geothermal Water in Typical Structural Belts from the Altay and Tianshan to the Kunlun Mountains in Xinjiang: Evidence from Hydrogeochemistry and δ2H–δ18O Isotopes

Yanjun Li, Xinghua Qi, Dongqiang Hu, Zhilin Qi, Changqiang Ma
article en

Abstract

This study investigates geothermal waters in the Xinjiang region through hydrogeochemical methods, including cluster analysis, ionic ratios, and isotopic analysis. Cluster analysis categorized the geothermal water samples into three distinct groups (G1, G2, and G3). The predominant hydrochemical facies are SO4-HCO3-Na, SO4-Cl-Na, and Cl-Na types, whose formation is controlled by multiple factors. Evidence from molar ratios of major ions suggests that geothermal waters in Group G1 are predominantly governed by water–rock interactions, whereas Groups G2 and G3 are mainly influenced by evaporative concentration. Hydrogen and oxygen isotopic signatures confirm that meteoric water serves as the primary recharge source for these geothermal waters. The spatial correlation between regional tectonic features and most geothermal discharge points demonstrates a consistent relationship between geothermal water occurrence and structural distribution in Xinjiang. Additionally, a conceptual circulation model is proposed wherein meteoric water undergoes deep circulation following local recharge, ascends along fault zones under tectonic pressure, and mixes with shallow groundwater. This research primarily elucidates the hydrogeochemical characteristics and recharge mechanisms of geothermal resources in Xinjiang, thereby providing a scientific basis for their future development and utilization.

WaterVol. 17(20)
China University of Geosciences (CN), Xinjiang Institute of Engineering (CN), Bureau of Geology and Mineral Exploration and Development of Guizhou Province (CN)
Openalex Percentile: Top 67%
Hydrocarbon exploration and reservoir analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.