Highly parameterized inversion of groundwater reactive transport for a complex field site
| Autor: | H. Sapion, Luca Carniato, Piet Seuntjens, Leen Bastiaens, Nick van de Giesen, Gerrit Schoups |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
010504 meteorology & atmospheric sciences
Rain 0207 environmental engineering Aquifer 02 engineering and technology 01 natural sciences Soil Hydraulic conductivity Belgium Water Movements Environmental Chemistry Groundwater discharge 020701 environmental engineering Groundwater Biology 0105 earth and related environmental sciences Water Science and Technology Hydrology geography Volatile Organic Compounds geography.geographical_feature_category Distributed element model Physics Groundwater recharge Models Theoretical 6. Clean water Chemistry Permeable reactive barrier Environmental science Groundwater model Water Pollutants Chemical |
| Zdroj: | Journal of contaminant hydrology |
| ISSN: | 0169-7722 |
| Popis: | In this study a numerical groundwater reactive transport model of a shallow groundwater aquifer contaminated with volatile organic compounds is developed. In addition to advective-dispersive transport, the model includes contaminant release from source areas, natural attenuation, abiotic degradation by a permeable reactive barrier at the site, and dilution by infiltrating rain. Aquifer heterogeneity is parameterized using pilot points for hydraulic conductivity, specific yield and groundwater recharge. A methodology is developed and applied to estimate the large number of parameters from the limited data at the field site (groundwater levels, groundwater concentrations of multiple chemical species, point-scale measurements of soil hydraulic conductivity, and lab-scale derived information on chemical and biochemical reactions). The proposed methodology relies on pilot point parameterization of hydraulic parameters and groundwater recharge, a regularization procedure to reconcile the large number of spatially distributed model parameters with the limited field data, a step-wise approach for integrating the different data sets into the model, and high performance computing. The methodology was proven to be effective in reproducing multiple contaminant plumes and in reducing the prior parameter uncertainty of hydraulic conductivity and groundwater recharge. Our results further indicate that contaminant transport predictions are strongly affected by the choice of the groundwater recharge model and flow parameters should be identified using both head and concentration measurements. (C) 2014 Elsevier B.V. All rights reserved. |
| Databáze: | OpenAIRE |
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