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Identification of dominating factors affecting vadose zone vulnerability by a simulation method.
Juan Li1,2, Beidou Xi2, Wutian Cai3
1College of Water Sciences, Beijing Normal University, Beijing 100875, China.
Scientific Reports
|April 8, 2017
Summary
This study identifies key factors influencing vadose zone vulnerability and contaminant transport to groundwater. The developed method enhances the accuracy of predicting groundwater contamination risks.
Area of Science:
- Environmental Science
- Hydrogeology
- Geochemistry
Background:
- Vadose zone vulnerability is crucial for understanding contaminant migration to groundwater.
- Contaminant transport is influenced by hydrogeological profiles and physicochemical reactions.
- Accurate assessment of groundwater vulnerability is essential for environmental protection.
Purpose of the Study:
- To identify and rank vadose zone vulnerability dominating factors (VDFs).
- To develop a method for assessing groundwater vulnerability considering pollution source location and contaminant properties.
- To improve the reliability of groundwater vulnerability predictions.
Main Methods:
- Analysis of vadose zone hydrogeological profiles (single, double, multi-lithologic).
- Classification of media permeabilities (clay-layer vs. non-clay-layer) and introduction of maximum pollution thickness.
- Incorporation of soil adsorption and soil degradability to represent contaminant physicochemical reactions.
- Identification and sequencing of VDFs using simulations and sensitivity analysis.
Main Results:
- The study successfully identified and sequenced VDFs impacting groundwater vulnerability.
- The proposed method improved factor weighting in groundwater vulnerability assessments.
- Application to three Chinese polluted sites demonstrated increased reliability in predicting groundwater vulnerability.
Conclusions:
- The characterization of VDFs is critical for understanding contaminant migration in the vadose zone.
- The developed methodology provides a more accurate assessment of groundwater vulnerability to contamination.
- This approach enhances the reliability of predictions for polluted sites.