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GWF-LSNPM: Linking Stream Network Process Models to Robust Data Management Systems (for the Purpose of Land-Use Decision Support)
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Dataset Title
Bedload Sediment Transport and Morphologic Data in Semi-alluvial Rivers Conditioned by Urbanization and Stormwater Management, Toronto Canada
Abstract
Data was collected from three rivers in the Greater Toronto Area of Southern Ontario: Ganatsekiagon Creek (City of Pickering), Wilket Creek (City of Toronto), and Morningside Creek (City of Toronto). The grain size distribution at each site was calculated using a Wolman Pebble count with a 200-stone sample size. Bedload transport was monitored over three years using Radio Frequency Identification (RFID) tracer stones, and periodic topographic surveys were conducted. A total of 300 tracers in 3 size classes were seeded in each site in August 2015. Tracer positions were recorded after each major rainfall event during the active field season each year, resulting in a total of 10, 12, and 13 recoveries in Ganatsekiagon Creek, Wilket Creek, and Morningside Creek, respectively. With each recovery, the travel distance of each tracer since its last known position is calculated. Detailed topographic surveys of the channel bed were conducted in the summers of 2016 and 2018 using a total station. Surveys were used to create DEM of Difference (DOD) at each site after a Triangular Irregular Network interpolation.
Purpose
Watershed urbanization and stormwater management (SWM) alter the hydrologic and geomorphologic processes of rivers. This purpose of this study is to characterize the bedload sediment transport regime of semi-alluvial gravel-bed rivers, and how it is affected by watershed urbanization and common SWM strategies. This project monitors the movement of coarse sediment and morphological change of three rivers in the Greater Toronto Area of Southern Ontario: Ganatsekiagon Creek (City of Pickering), Wilket Creek (City of Toronto), and Morningside Creek (City of Toronto). This study presents a means of monitoring bedload transport processes in restored rivers, and results can inform future river restoration designs.
Funding for this data collection was provided by an NSERC Strategic Grant (STPGP 463321-14, Assessing and restoring the resilience of urban stream networks). This data collected will also be used to support the project titled "Linking Stream Network Process Models to Robust Data Management Systems for the Purpose of Land-Use Decision Support", which is funded under the Global Water Futures Program funded by Canada First Research Excellence Fund.
Citations
Papangelakis, E., MacVicar, B., & Ashmore, P. (2019). Bedload sediment transport and morphologic data in semi-alluvial rivers conditioned by urbanization and stormwater management. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). (dx.doi:10.20383/101.0172).
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