Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 10
Articles | Volume 30, issue 10
https://doi.org/10.5194/hess-30-3145-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-3145-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 10
Research article
 | 
21 May 2026
Research article |  | 21 May 2026

A multi-chain surrogate-assisted hybrid optimization framework for joint identification of groundwater contaminant sources and hydrogeological parameters

Mengtian Wu, Xuan Huang, Pengcheng Xu, Han Chen, Xu Yang, Jin Xu, and Qingyun Duan

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Short summary
Groundwater contamination can be hard to diagnose quickly when sources are hidden underground. We develop a new framework that integrate multiple search chains in two stages: first they scan widely using an evolutionary algorithm, then they cooperate to refine source locations with Tabu Search. Fast surrogate models replace part of the time-consuming simulations. In case studies, this approach identifies source information more accurately and saves substantial computing time.
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