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Updated: May 11, 2026

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
Published on: July 4, 2014
A long-term multisensor dataset from a coking plant soil lysimeter.
A Sobaga1, N Enjelvin2, P Faure-Catteloin1
1Université de Lorraine, CNRS, LIEC, F-54000, Nancy, France.
This study monitored water movement in a contaminated industrial soil (technosol) for over a decade. The data provides valuable insights for understanding and predicting water transfers in such unique soil environments.
Area of Science:
- Environmental Science
- Soil Science
- Hydrology
Background:
- Lysimeter data from a 2m deep, 1m² column filled with Polycyclic Aromatic Hydrocarbon (PAH)-contaminated coking plant soil (technosol) in Homécourt, France.
- Soil classified as technosol (WRB classification) with high PAH contamination (approx. 2000 mg/kg).
- Data spans from February 2008 to January 2025, with over 95% reliability after quality control.
Purpose of the Study:
- To provide continuous, local, and long-term observational data on water transfers within an industrial technosol.
- To enable the study and forecasting of water movement in contaminated soils.
- To support academic research, water management agencies, and public understanding of soil hydrology.
Main Methods:
- Hourly automated measurements using a datalogger at three depths (50, 100, 150 cm): soil water content, soil matrix pressure, and soil temperature.
- Continuous recording of total lysimeter mass and bottom seepage.
- Integration with meteorological station data for comprehensive water budget analysis.
Main Results:
- Collection of a high-quality, long-term dataset (2008-2025) on soil hydrological parameters in a technosol.
- Over 95% of the collected data is deemed reliable, ensuring data integrity.
- The dataset captures detailed soil water dynamics under specific industrial contamination.
Conclusions:
- The comprehensive dataset is crucial for understanding water dynamics in industrial technosols.
- Enables accurate water budget calculations and forecasting of water transfers.
- Facilitates research on contaminant transport and soil remediation strategies.

