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A multi-component numerical leach model coupled with a general chemical speciation code.
Joo-Yang Park1, Bill Batchelor
1Department of Civil Engineering, Hanyang University, Seoul, South Korea.
Water Research
|January 5, 2002
Summary
A new numerical leach model (SBLEM) accurately predicts metal leaching from stabilized waste, potentially replacing lengthy experimental tests. This model aids in assessing contaminant release from solidified waste materials.
Area of Science:
- Environmental Engineering
- Geochemistry
- Waste Management
Background:
- Stabilized/solidified (s/s) waste management requires accurate leaching behavior assessment.
- Experimental leaching tests are time-consuming and can yield unreliable results.
- Numerical modeling offers a potential alternative for predicting contaminant release.
Purpose of the Study:
- To develop and evaluate a multi-component numerical leach model (SBLEM).
- To assess the model's capability in predicting contaminant leaching from cement-treated municipal solid waste incinerator ash.
- To determine if SBLEM can augment or replace traditional experimental leaching tests.
Main Methods:
- Coupling a chemical speciation code with a modified Crank-Nicolson algorithm to create SBLEM.
- Modifying the thermodynamic database using batch leaching data.
- Simulating a dynamic leaching test using SBLEM with input data from acid neutralization capacity (ANC) tests.
Main Results:
- SBLEM reasonably predicted the dynamic leaching behavior of metals from cement-treated ash.
- Model accuracy was dependent on well-described ANC and metal pH-solubility curves.
- The model demonstrated potential for augmenting or replacing experimental leaching.
Conclusions:
- SBLEM is a viable tool for predicting contaminant leaching in stabilized/solidified wastes.
- Numerical simulations can provide a more efficient and reliable alternative to experimental leaching tests.
- Accurate input data (ANC, pH-solubility) is crucial for SBLEM predictive performance.