Articles | Volume 30, issue 11
https://doi.org/10.5194/hess-30-3575-2026
https://doi.org/10.5194/hess-30-3575-2026
Research article
 | 
12 Jun 2026
Research article |  | 12 Jun 2026

Decoding multicomponent hydrochemical anomalies: a synergistic detection model for earthquake forecasting

Weiye Shao, Ying Li, Xiaocheng Zhou, Zhi Chen, Huajiao Liu, Zhaofei Liu, Chang Lu, Yuwen Wang, Zhaojun Zeng, Yun Wang, Hongyi He, and Shaohui Fan

Data sets

Continuous monitoring data from thermal springs Weiye Shao https://doi.org/10.17632/xkd75cyfmb.1

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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.
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