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TitleGroundwater recharge assessment in the Chateauguay River Watershed
AuthorCroteau, A; Nastev, MORCID logo; Lefebvre, R
SourceCanadian Water Resources Journal vol. 35, no. 4, 2010 p. 451-468,
Alt SeriesEarth Sciences Sector, Contribution Series 20100372
PublisherInforma UK Limited
Mediapaper; on-line; digital
File formatpdf
NTS31B/16; 31G/01; 31H/04; 31H/05
AreaChateauguay River; Covery Hill
Lat/Long WENS -74.5000 -73.5000 45.5000 44.7500
Subjectshydrogeology; Nature and Environment; groundwater; groundwater resources; groundwater surveys; groundwater regimes; groundwater circulation; groundwater flow; groundwater discharge; groundwater levels; aquifers; Chateauguay River watershed
Illustrationslocation maps; tables; plots; graphs
ProgramPublic Safety Geoscience Quantitative risk assessment
AbstractThe objective of this study was to evaluate groundwater recharge in the Chateauguay River watershed. The Hydrologic Evaluation of Landfill Performance (HELP) model was used to assess daily values of recharge, evapotranspiration and runoff. The study area was divided into a regular grid, 250 m × 250 m, for a total of 47,616 grid elements. The input parameters included soil physical properties, land use, vegetation and climate data. Calibration of HELP was carried out against runoff and baseflow estimates obtained from separation of five river hydrographs. Over a 39 year period, the mean annual recharge rate was estimated at 86 mm, or 9% of the total precipitation. Areas characterized by high water level elevations and unconfined flow conditions were identified as the main recharge areas. Daily estimates show that recharge takes place mainly in spring and fall. Over the observed period, the annual variations of evapotranspiration and runoff were directly related to changes in precipitation, whereas the annual recharge response was subdued, with much lower variations. HELP was also used to assess potential climate change scenarios using data for the driest and most humid years. The mean annual recharge was 51 mm for the driest year and 99 mm for the most humid year. Differences in the spatial distribution of recharge for the predictive scenarios indicate that the areas most sensitive to climate change correspond to the preferential recharge areas.

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