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

Data sets

Example CHEMMA application code for the technical note E. Xu Fei

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.