2009
DOI: 10.4296/cwrj3403269
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Estimating Summer Low-Flow in Streams in a Morainal Landscape using Spatial Hydrologic Models

Abstract: This study evaluated the capability of four spatial hydrologic models to estimate summer lowflow stream discharge, as a surrogate for baseflow, and assessed the influence of land cover/land use on these flows, in small streams across the Oak Ridges Moraine. Low-flow discharge varied predictably with area of the upstream catchment, but also with reach slope and a measure of land cover disturbance (LDI). Low-flow volumes were lowest in streams with moderate agricultural and/or urban development (LDI of eight to … Show more

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Cited by 9 publications
(8 citation statements)
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“…We aggregated these proportions to calculate the landscape disturbance index (LDI) sensu Stanfield et al. (), a weighted proportion of disturbed land cover, where low LDI indicates a relatively undisturbed catchment (Appendix ). We also calculated a satellite‐derived continuous index of vegetation cover.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We aggregated these proportions to calculate the landscape disturbance index (LDI) sensu Stanfield et al. (), a weighted proportion of disturbed land cover, where low LDI indicates a relatively undisturbed catchment (Appendix ). We also calculated a satellite‐derived continuous index of vegetation cover.…”
Section: Methodsmentioning
confidence: 99%
“…Land cover categories were taken from Agriculture and Agri-Food Canada (AAFC) (2015), which we found was more temporally accurate than other provincial land cover datasets despite a larger pixel sizes (30 m here vs. 10 m). We aggregated these proportions to calculate the landscape disturbance index (LDI) sensu Stanfield et al (2009), a weighted proportion of disturbed land cover, where low LDI indicates a relatively undisturbed catchment (Appendix S1). We also calculated a satellite-derived continuous index of vegetation cover.…”
Section: Data Collectionmentioning
confidence: 99%
“…Poor model performance in dry years is not completely unexpected since low flows are generally more difficult to predict than larger flows (Nicolle et al, 2014), particularly for small catchment areas (Stanfield et al, 2009). This difficulty may also have been aggravated if there was flow under or over ice.…”
Section: Model Performance In Dry Yearsmentioning
confidence: 99%
“…This pattern stresses the importance of internal snow redistribution within the watershed to stream discharge generation despite snow transport not impacting peak discharge to the same extent as blowing snow sublimation. The pattern also provides some insight into the potential for wind barrier sites such as shelterbelts to retain snow in upland areas (Steyn et al, 1997) to encourage infiltration and reduce runoff generation with melt.…”
Section: Model Falsificationsmentioning
confidence: 99%
“…The model did not show satisfactory performance in dry years. Poor model performance in dry years is not completely unexpected since low flows are generally more difficult to predict than larger flows (Nicolle et al, 2014), particularly for small catchment areas (Stanfield et al, 2009). This difficulty may also have been aggravated if there was flow under or over ice.…”
Section: Model Performance In Dry Yearsmentioning
confidence: 99%