Identifying groundwater discharge zones in the Central Mackenzie Valley using remotely sensed optical and thermal imagery

This study used Landsat and RapidEye imagery to identify groundwater discharge zones in the Central Mackenzie Valley.

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Field Value
Creator Brittney K. Glass, David L. Rudolph, Claude Duguay, and Andrew Wicke
Summary Landsat 4–5 Thematic Mapper, Landsat 8 Operational Land Imager, and RapidEye-3 data sets were used to identify potential groundwater discharge zones, via icings, in the Central Mackenzie Valley (CMV) of the Northwest Territories. Given that this area is undergoing active shale oil exploration and climatic changes, identification of groundwater discharge zones is of great importance both for pinpointing potential contaminant transport pathways and for characterizing the hydrologic system. Following the work of Morse and Wolfe (2015), a series of image algorithms were applied to imagery for the entire CMV andfortheBoggCreekwatershed(asubwatershedoftheCMV)forselectedyearsbetween2004and2017.Icingswerestatistically examined for all of the selected years to determine whether a significant difference in their spatial occurrence existed. It was concluded that there was a significant difference in the spatial distribution of icings from year to year ( = 0.05), but that there were several places where icings were recurring. During the summer of 2018, these recurrent icings, which are expected to be spring sourced, were verifiedusingathermalcameraaboardahelicopter,aswellasinsitumeasurementsofhydraulicgradient, groundwatergeochemistry,andelectroconductivity.Strongagreementwasfoundbetweenthemappedicingsandsummerfield data, making them ideal field monitoring locations. Furthermore, identifying these discharge points remotely is expected to have drastically reduced the field efforts that would have been required to find them in situ. This work demonstrates the value of remote sensing methods for hydrogeological applications, particularly in remote northern locations.
Local Relevance Central Mackenzie Valley is impacted by shale oil exploration and climate change. By applying image algorithms across selected years (2004–2017), researchers observed significant year-to-year variability in icing distribution but found recurring patterns in specific locations. The findings of this study highlight the effectiveness of remote sensing in reducing fieldwork and advancing hydrogeological research in remote northern regions
Notes
Tags Aufeis,groundwater discharege,permafrost,Icings,Landsat
Geographic Region NWT
Release Date 2020-06-23
Last Modified Date 2020-06-23
Funding Program