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Can Soil Hydraulic Parameters be Estimated from the Stable Isotope Composition of Pore Water from a Single Soil Profile?

Water (Basel), 2020-02, Vol.12 (2), p.393 [Peer Reviewed Journal]

Attribution ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w12020393

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  • Title:
    Can Soil Hydraulic Parameters be Estimated from the Stable Isotope Composition of Pore Water from a Single Soil Profile?
  • Author: Mattei, Alexandra ; Goblet, Patrick ; Barbecot, Florent ; Guillon, Sophie ; Coquet, Yves ; Wang, Shuaitao
  • Subjects: Agricultural sciences ; groundwater recharge ; inverse modeling ; Life Sciences ; sensitivity analysis ; soil hydraulic parameters estimation ; Soil study ; vadose zone ; δ2h
  • Is Part Of: Water (Basel), 2020-02, Vol.12 (2), p.393
  • Description: Modeling water and solute transport in the vadose zone for groundwater resource management requires an accurate determination of soil hydraulic parameters. Estimating these parameters by inverse modeling using in situ observations is very common. However, little attention has been given to the potential of pore water isotope information to parameterize soil water transport models. By conducting a Morris and Sobol sensitivity analysis, we highlight the interest of combining water content and pore water isotope composition data in a multi-objective calibration approach to constrain soil hydraulic property parameterization. We then investigate the effect of the sampling frequency of the observed data used for model calibration on a synthetic case. When modeling is employed in order to estimate the annual groundwater recharge of a sandy aquifer, it is possible to calibrate the model without continuous monitoring data, using only water content and pore water isotopic composition profiles from a single sampling time. However, even if not continuous, multi-temporal data improve model calibration, especially pore water isotope data. The proposed calibration method was validated with field data. For groundwater recharge estimate studies, these results imply a significant reduction in the time and effort required, by avoiding long-term monitoring, since only one sampling campaign is needed to extract soil samples.
  • Publisher: MDPI
  • Language: English
  • Identifier: ISSN: 2073-4441
    EISSN: 2073-4441
    DOI: 10.3390/w12020393
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    Hyper Article en Ligne (HAL) (Open Access)
    ProQuest Databases
    ROAD: Directory of Open Access Scholarly Resources
    DOAJ Directory of Open Access Journals
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