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3D Joint hydrogeophysical inversion using similarity measures

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  • Steklova, Klara
  • Haber, Eldad

Abstract

Parameter and state estimation for groundwater models within a coupled hydrogeophysical framework has become common in the last few years. It has been shown that such estimates are usually better than those from a single data inversion and different approaches have been suggested in literature to combine the essentially two different modalities in order to obtain a single estimate for the property of interest. However, most of the coupled hydrogeophysical frameworks rely on implementing some petrophysical relationships to couple the groundwater and geophysical variable. Such relationships are usually uncertain and hard to parametrize for a large region and can produce mass errors in the final estimates. Replacing the fixed petrophysical relationship by a more loose similarity constraint is therefore an appealing alternative for coupling the two different models.

Suggested Citation

  • Steklova, Klara & Haber, Eldad, 2019. "3D Joint hydrogeophysical inversion using similarity measures," Applied Mathematics and Computation, Elsevier, vol. 357(C), pages 338-356.
    • Handle: RePEc:eee:apmaco:v:357:y:2019:i:c:p:338-356
    DOI: 10.1016/j.amc.2017.09.025
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    Cited by:

    1. Gumilar Utamas Nugraha & Andi Agus Nur & Pulung Arya Pranantya & Rachmat Fajar Lubis & Hendra Bakti, 2023. "Analysis of groundwater potential zones using Dar-Zarrouk parameters in Pangkalpinang city, Indonesia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1876-1898, February.
    2. Gumilar Utamas Nugraha & Hendra Bakti & Rachmat Fajar Lubis & Yayat Sudrajat & Ilham Arisbaya, 2022. "Aquifer vulnerability in the Coastal Northern Part of Lombok Island Indonesia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1390-1410, January.

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