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SIMPL: A Simplified Model-Based Program for the Analysis and Visualization of Groundwater Rebound in Abandoned Mines to Prevent Contamination of Water and Soils by Acid Mine Drainage

Author

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  • Sung-Min Kim

    (Division of Graduate Education for Sustainability of Foundation Energy, Seoul National University, Seoul 08826, Korea)

  • Yosoon Choi

    (Department of Energy Resources Engineering, Pukyong National University, Busan 48513, Korea)

Abstract

Cessation of dewatering following underground mine closure typically results in groundwater rebound, because mine voids and surrounding strata undergo flooding up to the levels of the decant points, such as shafts and drifts. SIMPL (Simplified groundwater program In Mine workings using the Pipe equation and Lumped parameter model), a simplified lumped parameter model-based program for predicting groundwater levels in abandoned mines, is presented herein. The program comprises a simulation engine module, 3D visualization module, and graphical user interface, which aids data processing, analysis, and visualization of results. The 3D viewer facilitates effective visualization of the predicted groundwater level rebound phenomenon together with a topographic map, mine drift, goaf, and geological properties from borehole data. SIMPL is applied to data from the Dongwon coal mine and Dalsung copper mine in Korea, with strong similarities in simulated and observed results. By considering mine workings and interpond connections, SIMPL can thus be used to effectively analyze and visualize groundwater rebound. In addition, the predictions by SIMPL can be utilized to prevent the surrounding environment (water and soil) from being polluted by acid mine drainage.

Suggested Citation

  • Sung-Min Kim & Yosoon Choi, 2018. "SIMPL: A Simplified Model-Based Program for the Analysis and Visualization of Groundwater Rebound in Abandoned Mines to Prevent Contamination of Water and Soils by Acid Mine Drainage," IJERPH, MDPI, vol. 15(5), pages 1-19, May.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:5:p:951-:d:145539
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    References listed on IDEAS

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    1. Sung-Min Kim & Yosoon Choi, 2017. "Assessing Statistically Significant Heavy-Metal Concentrations in Abandoned Mine Areas via Hot Spot Analysis of Portable XRF Data," IJERPH, MDPI, vol. 14(6), pages 1-16, June.
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    Cited by:

    1. Jose M. Davila & Aguasanta M. Sarmiento & Javier Aroba & Juan C. Fortes & Jose A. Grande & Maria Santisteban & Francisco Cordoba & Mercedes Leiva & Ana T. Luís, 2021. "Application of a Fuzzy Logic Based Methodology to Validate the Hydrochemical Characterization and Determining Seasonal Influence of a Watershed Affected by Acid Mine Drainage," IJERPH, MDPI, vol. 18(9), pages 1-15, April.

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