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Groundwater Thermal Monitoring and Modeling

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrogeology".

Deadline for manuscript submissions: closed (20 October 2025) | Viewed by 2691

Special Issue Editors


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Guest Editor
College of Geosciences, China University of Petroleum, Beijing, China
Interests: tectono-thermal evolution of sedimentation basins; geothermal resources
College of Water Science, Beijing Normal University, Beijing, China
Interests: isotope hydrology; groundwater-surface water interaction; groundwater dating; geothermics

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Guest Editor Assistant
College of Geosciences, China University of Petroleum, Beijing, China
Interests: geothermal engineering; geothermal reservoir modeling; reactive transport modeling

Special Issue Information

Dear Colleagues,

This Special Issue aims to explore the impact of rock thermal conductivity and paleo-geothermal field distribution on the groundwater thermal environment. We invite original research, reviews, and technical reports on topics including, but not limited to, rock thermal conductivity measurement methods, evaluation of prospects for geothermal resource exploitation, and the relationship between deep rock heat production rates and terrestrial heat flow.

We welcome submissions from experts and scholars in the fields of geology, hydrogeology, environmental science, and related disciplines to contribute to the latest advances in groundwater thermal monitoring and modeling, with a focus on geothermal resource development and environmental protection.

Prof. Chuanqing Zhu
Dr. Jie Li
Guest Editors

Dr. Yonghui Huang
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • groundwater
  • thermal monitoring
  • modeling
  • rock thermal conductivity
  • geothermal field distribution
  • paleo-geothermal
  • environmental impact

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Published Papers (2 papers)

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Research

16 pages, 5435 KB  
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
by Dongqiang Hu, Yanjun Li, Zhilon Qi, Xinghua Qi and Changqiang Ma
Water 2025, 17(20), 2946; https://doi.org/10.3390/w17202946 - 13 Oct 2025
Viewed by 419
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-HCO [...] Read more.
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. Full article
(This article belongs to the Special Issue Groundwater Thermal Monitoring and Modeling)
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16 pages, 6854 KB  
Article
Terrestrial Heat Flow and Lithospheric Thermal Structure of the Hubao Basin, North Central China
by Ziqin Gong, Wei Xu, Xiaoyin Tang, Genggeng Zhu, Yuliang Yang, Tianqi Guo and Sen Wang
Water 2024, 16(14), 1980; https://doi.org/10.3390/w16141980 - 12 Jul 2024
Cited by 1 | Viewed by 1353
Abstract
The terrestrial heat flow and lithospheric thermal structure of sedimentary basins are crucial for understanding basin dynamics and assessing geothermal resources. This study computed the heat flow in the Hubao Basin using rock thermal conductivity and borehole temperature data. Combined with the geophysical [...] Read more.
The terrestrial heat flow and lithospheric thermal structure of sedimentary basins are crucial for understanding basin dynamics and assessing geothermal resources. This study computed the heat flow in the Hubao Basin using rock thermal conductivity and borehole temperature data. Combined with the geophysical profile of the Yinshan Orogenic Belt–Hubao Basin–Ordos Basin, the lithospheric thermal structure was studied, and the geodynamic mechanism is discussed. The results indicate that the heat flow in the Hubao Basin ranges from 64.0 to 73.8 mW/m2. The Moho temperature along the profile varies between 570 and 652 °C, and the thickness of the thermal lithosphere ranges from 122.7 to 138.8 km. Using the backstripping method to calculate the crust–mantle heat flow ratio, we find that this ratio in in the Hubao Basin is approximately 1, indicating a “warm crust, warm mantle” type of lithospheric thermal structure. This is related to the combined effects of extensional tectonics since the Late Jurassic and Early Cretaceous, westward subduction of the Pacific Plate, remote effects from the Indian Ocean Plate, and the development of deep-seated faults within the basin. The combined effects of lithospheric thinning and deep-seated faults have resulted in thermal anomalies in the Hubao Basin. Full article
(This article belongs to the Special Issue Groundwater Thermal Monitoring and Modeling)
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