Articles | Volume 30, issue 8
https://doi.org/10.5194/hess-30-2315-2026
© 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-30-2315-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Joint characterization of heterogeneous conductivity fields and pumping well attributes through iterative ensemble smoother with a reduced-order modeling strategy for solute transport
Chuan-An Xia
Zijin School of Geology and Mining, Fuzhou University, Fuzhou, China
Jiayun Li
CORRESPONDING AUTHOR
Fujian Provincial Key Lab of Coastal Basin Environment, Fujian Polytechnic Normal University, Fuqing, China
Bill X. Hu
School of Water Conservancy & Environment, University of Jinan, Jinan, China
Alberto Guadagnini
Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Milano, Italy
Sonny Astani Department of Civil and Environmental Engineering, Viterbi School of Engineering, Los Angeles, California 90089-2531, USA
Monica Riva
CORRESPONDING AUTHOR
Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Milano, Italy
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Short summary
Pumping wells may not be officially registered or documented. We develop a new framework to jointly estimate spatially variable conductivity and identify unknown pumping well locations and rates. Our results support the ability of the new approach to accurately estimate conductivity and identify well location and rates under diverse configurations, attaining a quality of performance similar to its traditional counterpart while computational time is reduced by nearly an order of magnitude.
Pumping wells may not be officially registered or documented. We develop a new framework to...