Integrated Lysimeter Study (Deep Percolation) Data from Saint-Nicéphore, Quebec
Authors/Creators
-
1.
Université de Sherbrooke
Description
This dataset results from a study on various landfill final covers constructed at a landfill site in Saint-Nicéphore, Quebec. The study involved three large experimental plots, each containing drainage lysimeters and sensors to measure soil moisture, temperature, and suction. For detailed construction information, please consult the construction report included in this dataset and the references.
The dataset is intended to facilitate future research on deep percolation in cold regions, providing comprehensive data for the development and validation of hydrological models.
The dataset includes:
- Hourly deep percolation rates, measured by four drainage lysimeters within the soil enclosures.
- Half-hourly measurements of soil moisture, temperature, and suction at various depths.
- Hourly and daily meteorological data for the duration of the study period.
- Laboratory-estimated soil parameters, including saturated hydraulic conductivity, dry density, and soil texture.
Important: Please be aware that the timestamps in these datasets may not be evenly spaced. This means that some data points might be missing or irregularly collected. Before performing any time-series analysis or data visualization, you may need to preprocess the data to ensure consistent time intervals.
For further information or inquiries, please contact the creators.
Notes
This data base was created during a project that received funding from the Natural Sciences and Engineering Research Council of Canada, NSERC (CRD # RDPJ 508222-16) and the Consortium de recherche et innovations en bioprocédés industriels du Québec, CRIBIQ (2017-014-C27). Please cite the following articles if you include these data in any publication:
Amani, A., Boucher, M.-A., Cabral, A.R., Vionnet, V. and Gaborit, É. (2025), Analysing Deep Percolation Dynamics: A Lysimeter-Based Study in a Cold Environment. Hydrological Processes, 39: e70119. https://doi.org/10.1002/hyp.70119
Kahale et al. (2022). Field-based assessment of the design of lysimeters for landfill final cover seepage control. Journal of the Air & Waste Management Association, Vol. 72, No. 12: 1477–1488. (https://doi.org/10.1080/10962247.2022.2126557).
Kahale and Cabral (2022). Field and numerical evaluation of breakthrough suction effects in lysimeter design. Environmental Technology (https://doi.org/10.1080/09593330.2022.2139635).
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README.txt
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Additional details
Additional titles
- Subtitle
- Includes hourly records of deep percolation, meteorological conditions, and soil states, complemented by laboratory analyses of hydraulic conductivity, density, and soil composition.