H
Hazen A.J. Russell
Researcher at Natural Resources Canada
Publications - 130
Citations - 1429
Hazen A.J. Russell is an academic researcher from Natural Resources Canada. The author has contributed to research in topics: Moraine & Bedrock. The author has an hindex of 18, co-authored 119 publications receiving 1211 citations. Previous affiliations of Hazen A.J. Russell include Geological Survey of Canada & University of Ottawa.
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Journal ArticleDOI
Hydraulic-Jump and Hyperconcentrated-Flow Deposits of a Glacigenic Subaqueous Fan: Oak Ridges Moraine, Southern Ontario, Canada
Hazen A.J. Russell,R.W.C. Arnott +1 more
TL;DR: The Oak Ridges Moraine in southern Ontario is a poly-genetic moraine constructed of a number of coalesced deposits of gla- cifluvial and glacilacustrine origin this article.
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Evidence for rapid sedimentation in a tunnel channel, Oak Ridges Moraine, southern Ontario, Canada
TL;DR: In this paper, a detailed analysis of 2 km of continuous core from two drillholes located ∼7 km apart in sub-parallel tunnel channels identified three facies: massive sand facies, medium-scale and small-scale cross-stratified sand.
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A framework for conceptualizing groundwater-surface water interactions and identifying potential impacts on water quality, water quantity, and ecosystems
TL;DR: In this paper, a holistic framework was created to provide a comprehensive and logical approach for identifying, understanding, and evaluating the key factors and processes controlling groundwater-SW interactions and understanding their relationship to environmental problems.
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On the origin of the Oak Ridges Moraine
P J Barnett,David R. Sharpe,Hazen A.J. Russell,Tracy A. Brennand,G Gorrell,F. Kenny,André J.-M. Pugin +6 more
TL;DR: In this paper, a model for the origin of the Oak Ridges Moraine is proposed based on the recognition that the moraine is built on a high-relief, erosional surface (unconformity) consisting of drumlin uplands and a network of deep, steep-walled, interconnected valleys (tunnel channels).
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An integral image approach to performing multi-scale topographic position analysis
TL;DR: In this paper, an integral image-based approach was used to measure the common relative topographic position metric deviation from mean elevation (DEV ), which was applied to a large-scale digital elevation model (DEM) of an extensive and heterogeneous region in eastern North America.