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Updated: May 17, 2026

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
Published on: July 4, 2014
Simulation of the biocide distribution in soil using PELMO coupled with COMLEAM
Nadine Kiefer1,2, Judith Klein3, Mirko Rohr4
1Institute for Bioanalysis, University of Applied Sciences Coburg, Coburg, Germany.
Biocides from buildings leach into soil, posing environmental risks. A new model predicts biocide distribution, improving risk assessment for soil contamination and management strategies.
Area of Science:
- Environmental Science
- Ecotoxicology
- Soil Science
Background:
- Biocides in building materials pose environmental risks due to leaching into aquatic and soil environments.
- Predicting the transport, transformation, and ecotoxicity of continuously released, diluted biocides in soil presents significant challenges.
Purpose of the Study:
- To develop and validate an integrated modeling approach for predicting biocide behavior and environmental risks in soil.
- To assess the impact of leaching simulations, absorption, and degradation kinetics on biocide distribution predictions.
Main Methods:
- Combined the COMLEAM model (facade leaching) with the FOCUS PELMO pesticide model for soil distribution prediction.
- Simulated concentrations of 1,2-benzisothiazol-3(2H)-one (BIT), 2-n-octyl-4-isothiazolinone-3-one, and terbutryn in soil over 600 days.
- Evaluated the influence of varying leaching, absorption, and degradation parameters on model outcomes.
Main Results:
- The integrated model effectively simulates biocide behavior in soil.
- Predictions showed a tendency to overestimate risks for short-acting biocides like BIT but offered precise predictions for long-acting preservatives.
- Biocide concentration variance was minimal in upper soil layers, increasing with depth.
Conclusions:
- The integrated COMLEAM-PELMO approach offers a cost-effective method for predicting environmental risks of biocides in soil.
- This modeling approach aids in formulating effective management strategies for soil contamination.
- Incorporating experimentally determined soil-specific degradation and absorption values enhances prediction accuracy.
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