Quantification of peatland water storage capacity using the water table fluctuation method
2017
Peatspecific yield (Sy) is an important parameter involved in many peatland hydrological functions such as flood attenuation,
baseflowcontribution to rivers, and maintaining groundwater levels in
surficial aquifers. However, general knowledge on peatland
water storagecapacity is still very limited, due in part to the technical difficulties related to in situ measurements. The objectives of this study were to quantify vertical Sy variations of
water tablesin peatlands using the
water tablefluctuation (WTF) method and to better understand the factors controlling peatland
water storagecapacity. The method was tested in five
ombrotrophicpeatlands located in the St. Lawrence Lowlands (southern Quebec, Canada). In each peatland,
water tablewells were installed at three locations (up-gradient, mid-gradient, and down-gradient). Near each well, a 1-m long
peatcore (8 cm × 8 cm) was sampled, and subsamples were used to determine SY with standard gravitational drainage method. A larger
peatsample (25 cm × 60 cm × 40 cm) was also collected in one peatland to estimate Sy using a laboratory drainage method. In all sites, the mean
water tabledepth ranged from 9 to 49 cm below the
peatsurface, with annual fluctuations varying between 15 and 29 cm for all locations. The WTF method produced similar results to the gravitational drainage experiments, with values ranging between 0.13 and 0.99 for the WTF method and between 0.01 and 0.95 for the gravitational drainage experiments. Sy was found to rapidly decrease with depth within 20 cm, independently of the within-site location and the mean annual
water tabledepth. Dominant factors explaining Sy variations were identified using analysis of variance. The most important factor was peatland site, followed by
peatdepth and seasonality. Variations in storage capacity considering site and seasonality followed regional effective
growing degree daysand evapotranspiration patterns. This work provides new data on spatial variations of peatland
water storagecapacity using an easily implemented method that requires only
water tablemeasurements and precipitation data.
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