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Publication Additional Information Download
Publication Type
Conference Poster
Authorship
He, Z., Shook, K., Spence, C., Pomeroy, J.W., Whitfield, C.
Title
Modeling the Streamflow Sensitivity to Wetland Drainage and Restoration Over the Canadian Prairies Using a Basin Classification Approach
Year
2022
Publication Outlet
American Geophysical Union (AGU) Fall Meeting, Chicago, USA, December 12 to December 16, 2022
DOI
https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1072974
Citation
He, Z., Shook, K., Spence, C., Pomeroy, J.W., Whitfield, C. (2022) Modeling the Streamflow Sensitivity to Wetland Drainage and Restoration Over the Canadian Prairies Using a Basin Classification Approach. American Geophysical Union (AGU) Fall Meeting, Chicago, USA, December 12 to December 16, 2022. https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1072974
Abstract
The effects of wetland management of drainage and restoration on the hydrology of small basins over the Canadian Prairies, were investigated using a virtual basin modelling approach created through the Cold Regions Hydrological Modelling platform (CRHM) for seven biophysical basin classes that typify the region. The model included wind redistribution of snow, energy balance snowmelt, infiltration to frozen soils, Penman-Monteith actual evapotranspiration, soil and ground water dynamics and fill and spill of internally drained surface depressions that often form wetlands. Wetland loss induced by agricultural drainage was represented by scenarios that progressively reduced the depression area and storage capacity by increments of 10%, and ongoing wetland restoration policies were represented by expanding the existing depressions to historical sizes. Model simulations showed that, on average, both annual total streamflow and maximum daily streamflow had the largest sensitivities to wetland drainage in the pothole pond dominated basins. Every 10% loss of depression area resulted in a 15-22% increase in annual streamflow volume and a 13-18% increase in maximum daily streamflow from the pothole-dominated basins, whilst those increases were only 3-9% in other basin classes. Every 10% gain in depression area by restoration resulted in a 7% decrease in maximum daily streamflow from the pothole till basins, contrasted by a 0.2% decrease from the high elevation grasslands basins. Wetlands restoration represented by a 40% increase in depressional area, close to the historical maximum as indicated in the pothole till basins, reduced annual streamflow volume and peak daily streamflow by 5-36% and 1-28%, respectively, over the Prairies. Wetland restoration strategies of from large to small depressions and from bottom to top of the basin exerted a small influence on annual streamflow volume sensitivity, whilst restoring the wetlands closer to the basin outlet tended to be more effective in attenuating the maximum daily streamflow.
Plain Language Summary
This study investigated the effects of wetland loss caused by agricultural activities on basin streamflow in the Canadian Prairies. At the same time, we studied the extent to which wetland restoration policy could influence streamflow in the Prairies. To do that, we divided the entire Canadian Prairies into seven basin types based on a set of biophysical factors delineating land cover, soil, and topography. Responses of hydrological processes to wetland changes in the classified basins were physically represented in the Cold Regions Hydrological Modelling platform (CRHM). The results quantified the sensitivities of annual total streamflow and peak daily streamflow to per 10% loss or expansion in the wetlands. It is found that restoring wetland closer to the basin outlet is more effective in reducing the volume of peak streamflow. Our results could be used to inform agricultural practices and wetland management policies in the Canadian Prairies where a number of waterfowl and other grassland-associated animals live.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-PW: Prairie Water
Publication Stage
Published
Download Links
https://agu.confex.com/agu/fm22/meetingapp.cgi/Paper/1072974
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