Articles | Volume 26, issue 8
Research article
22 Apr 2022
Research article |  | 22 Apr 2022

A data-driven method for estimating the composition of end-members from stream water chemistry time series

Esther Xu Fei and Ciaran Joseph Harman

Related authors v1.0: A flexible Python package for modeling solute transport and transit times using StorAge Selection functions
Ciaran Harman and Esther Xu Fei
EGUsphere,,, 2022
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Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Mathematical applications
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Cited articles

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Babaki, B.: COP-Kmeans version 1.5, Zenodo,, 2017. a
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Barthold, F. K., Tyralla, C., Schneider, K., Vaché, K. B., Frede, H.-G., and Breuer, L.: How many tracers do we need for end member mixing analysis (EMMA)? A sensitivity analysis, Water Resour. Res., 47, 1–14,, 2011. a
Short summary
Water in streams is a mixture of water from many sources. It is sometimes possible to identify the chemical fingerprint of each source and track the time-varying contribution of that source to the total flow rate. But what if you do not know the chemical fingerprint of each source? Can you simultaneously identify the sources (called end-members), and separate the water into contributions from each, using only samples of water from the stream? Here we suggest a method for doing just that.