Articles | Volume 30, issue 11
https://doi.org/10.5194/hess-30-3575-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-3575-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jun 2026
Research article |
| 12 Jun 2026
| 12 Jun 2026
Decoding multicomponent hydrochemical anomalies: a synergistic detection model for earthquake forecasting
Weiye Shao
Yunnan Earthquake Agency, Kunming 650224, China
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Ying Li
CORRESPONDING AUTHOR
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Xiaocheng Zhou
CORRESPONDING AUTHOR
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Zhi Chen
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Huajiao Liu
Sichuan Earthquake Agency, Chengdu 610041, China
Zhaofei Liu
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Chang Lu
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Yuwen Wang
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
School of the Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
Zhaojun Zeng
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
School of the Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China
Yun Wang
Department of Insurance, School of Finance, Yunnan University of Finance and Economics, Kunming 650221, China
Hongyi He
United Laboratory of High-Pressure Physics and Earthquake Science, Institute of Earthquake Forecasting, Beijing 100036, China
Key Laboratory of Shale Gas Exploration, Ministry of Natural Resources, China University of Petroleum, Beijing 102249, China
Shaohui Fan
Yunnan Earthquake Agency, Kunming 650224, China
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Zebin Luo, Xiaocheng Zhou, Yueren Xu, Peng Liang, Huiping Zhang, Jinlong Liang, Zhaojun Zeng, Yucong Yan, Zheng Gong, Shiguang Wang, Chuanyou Li, Zhikun Ren, Jingxing Yu, Zifa Ma, and Junjie Li
Hydrol. Earth Syst. Sci., 29, 5331–5346, https://doi.org/10.5194/hess-29-5331-2025, https://doi.org/10.5194/hess-29-5331-2025, 2025
Short summary
Short summary
In this contribution, the East Anatolian Fault Zone groundwater observation data over the past 13 years are compared with the groundwater chemical composition after the double earthquakes in 2023 to tracing the origin of geothermal fluid, restore the water-rock interaction process, and evaluate the influence of seismic activity on the geothermal fluid circulation process.
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Short summary
A five-year study of hot springs at a fault intersection on the southeastern Tibetan Plateau developed an anomaly detection model that links synchronous changes in water chemistry to earthquakes with magnitude ≥4. The model combines multiple components to improve accuracy of earthquake timing forecasting and identify reliable predictors. Stronger or closer earthquakes show more components with synchronous anomalies, providing a valuable reference for real-time forecasting in high-risk areas.
A five-year study of hot springs at a fault intersection on the southeastern Tibetan Plateau...
