How Calculate DOI Index to Assess Inverted ERT model?
Autor: | Laura Torres-Rondon, Charles Danquigny, Konstantinos Chalikakis, Simon Damien Carrière |
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Přispěvatelé: | Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Hydrogéologie d'Avignon, Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
Jazyk: | angličtina |
Rok vydání: | 2014 |
Předmět: |
Regional geology
Logarithm Engineering geology 0207 environmental engineering Inversion (meteorology) 02 engineering and technology 010501 environmental sciences 01 natural sciences Electrical resistivity and conductivity [SDE]Environmental Sciences Applied mathematics Geotechnical engineering Electrical resistivity tomography Economic geology 020701 environmental engineering Geology ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Environmental geology |
Zdroj: | Near Surface Geoscience 2014-20th European Meeting of Environmental and Engineering Geophysics-Session: Geoelectrics Near Surface Geoscience 2014-20th European Meeting of Environmental and Engineering Geophysics-Session: Geoelectrics, Sep 2014, Athènes, Greece Scopus-Elsevier HAL |
Popis: | Assessing Electrical Resistivity Tomography (ERT) reliability is critical for interpretation step and decisions making. Scientists try to provide solutions with several quality indicators: Depth of Investigation (DOI) index, sensitivity, uncertainty and resolution matrix. Each indicator, presenting strengths and weaknesses, has to be cross-validated with others. Most of these indicators are already included in the commercialized inversion softwares. This paper deals with DOI index calculation. Two calculation methods appear/exist in the Literature: the one uses inverted resistivity and the other uses logarithm of inverted resistivity. Both solutions are compared in this paper with several synthetic models and field data set. In general, DOI index calculated using inverted resistivity point out systematically a less reliability in resistive zone of the model. DOI index map calculated using logarithm of inverted resistivity appears more robust in various configurations. This calculation method highlights quite accurately inversion artifacts. |
Databáze: | OpenAIRE |
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