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Alexander J. Koiter

Researcher at University of Northern British Columbia

Publications -  14
Citations -  727

Alexander J. Koiter is an academic researcher from University of Northern British Columbia. The author has contributed to research in topics: Sediment & Erosion. The author has an hindex of 7, co-authored 11 publications receiving 584 citations. Previous affiliations of Alexander J. Koiter include University of Manitoba.

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The behavioural characteristics of sediment properties and their implications for sediment fingerprinting as an approach for identifying sediment sources in river basins

TL;DR: Sediment fingerprinting is a technique that is increasingly being used to improve the understanding of sediment dynamics within river basins as mentioned in this paper, however, one of the main limitations of the technique is the ability to link sediment back to their sources due to the non-conservative nature of many of the sediment properties.
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Investigating the role of connectivity and scale in assessing the sources of sediment in an agricultural watershed in the Canadian prairies using sediment source fingerprinting

TL;DR: In this article, the authors determined the sources of sediment in an agricultural watershed in the Canadian prairies using sediment source fingerprinting and assessed the results of the sediment fingerprinting study within the context of the scale of observation and the hydro-geomorphic connectivity of the watershed.
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The role of soil surface properties on the particle size and carbon selectivity of interrill erosion in agricultural landscapes

TL;DR: The selective nature of interrill erosion can lead to the enrichment of fine-grained soil particles as mentioned in this paper, and the preferential mobilization and transport of soil particles can be used to improve soil fertility.
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Selecting Color-based Tracers and Classifying Sediment Sources in the Assessment of Sediment Dynamics Using Sediment Source Fingerprinting.

TL;DR: The use of color fingerprints is a promising, cost-effective technique for sediment source fingerprinting and can be integrated with conventional fingerprints to improve source discrimination, which is a key component for source ascription modeling.