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Hyperspectral Imaging for Dispersion Coefficient Estimation

Author(s): Yeonghwa Gwon; Dongsu Kim; Siyoon Kwon; Sanghwa Jung

Linked Author(s): Siyoon Kwon, Dongsu Kim

Keywords: Dispersion coefficient; Hyperspectral imaging; Loess; Remote sensing; Tracer experiment

Abstract: The dispersion coefficient is a parameter that describes the degree of mixing of substances introduced into a river. By using the dispersion coefficient, the transport behavior of materials moving downstream can be tracked. Traditionally, studies estimating the dispersion coefficient have relied on tracer injections followed by in-situ concentration measurements. However, these conventional approaches face limitations in terms of cost and safety due to direct measurements and the properties of artificial tracers. Therefore, this study proposes the use of natural tracers in conjunction with remote sensing to overcome the constraints of direct measurements and to mitigate the environmental impacts associated with fluorescent tracers.

DOI:

Year: 2026

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