GSA Annual Meeting in Seattle, Washington, USA - 2017

Paper No. 295-2
Presentation Time: 8:15 AM

THE MODERN KICKING HORSE RIVER, BC; AN INTEGRATION OF GROUND-PENETRATING RADAR, REMOTE SENSING, AND GAUGING RECORD ANALYSIS


CYPLES, Natasha, Harquail School of Earth Sciences, Laurentian University, 935 Ramsey Lake Rd., Sudbury, ON P3E2C6, Canada, IELPI, Alessandro, Laurentian University, Harquail School of Earth Sciences, Sudbury, ON P3E 2C6, Canada and DIRSZOWSKY, Randy, School of the Environment, Laurentian University, Sudbury, ON P3E 2C6, ncyples@laurentian.ca

The Kicking Horse River is a gravel-bed stream originating from glacial meltwater supplied by the Wapta Icefields in south-eastern British Columbia. An alluvial tract extends for 7 km through Field, BC, where the trunk channel undergoes diurnal and seasonal fluctuations in flow as a result of varying glacial-meltwater supply and runoff recharge. Prior studies erected the Kicking Horse River as a reference for proximal braided systems, and documented bar formation and sediment distribution patterns from ground observations. However, a consistent model of planform evolution and related stratigraphic signature is lacking. Specific objectives of this study are to examine the morphodynamic evolution and stratigraphic signature of channel-bar complexes using high-resolution satellite imagery, sedimentologic and discharge observations, and ground-penetrating radar (GPR). Remote sensing highlights rates of lateral channel migration of as much as 270 meters over eight years (~ 34 meters/year), and demonstrates how flood stages are associated with stepwise episodes of channel braiding and anabranching. Channel migration influences the size and relative abundance of mid-channel bars and bank-attached bars, through repeated processes or erosion and reworking. Furthermore, calculations in flow variance, defined as the angle between local direction of flow and bank accretion, indicate enhanced channel-flow configuration featuring recirculation cells along locally sinuous bends. GPR analysis aided in the identification of five distinct radar facies, including: discontinuous, inclined, planar, trough-shaped, and mounded reflectors. Integration of sedimentological data with remote sensing, gauging records, and GPR analysis allows for high-resolution modelling of stepwise changes in alluvial morphology. Conceptual models stemming from such analyses can be employed to understand the depositional history and stratigraphic signature of proximal and coarse-grained fluvial systems.