Document details for 'A temporal compositional analysis of water quality monitoring data'

Authors Brewer, M.J., Tetzlaff, D., Malcolm, I.A. and Soulsby, C.
Publication details In "International Workshop on Spatio-Temporal Modelling (METMA4)", 135-140. Eds. Cocchi, D., Mateu, J., Montes, F., Otranto, E., Porcu, E. and Usai, U.. Editrice Democratica Sarda (EDES), Sassari, Sardinia.
Publisher details Editrice Democratica Sarda (EDES), Sassari, Sardinia
Keywords compositional analysis; water quality; time series
Abstract End-member mixing analysis (EMMA) is a method in hydrology for attempting to understand the characteristics of river catchments and involves determining relative proportions of constituent components using tracer data. We consider the case where there are no separate data available for the end-members, and develop a model for source distributions via non-linear regression on the tracer/flow rate relationship. We allow these source distributions to vary in time and apply the model to a data set from central Scotland comprised of weekly or fortnightly readings over eighteen years.
ISBN 88-6025-098-6
Last updated 2009-11-23
Links
  1. Conference website (METMA4)
    http://www.uv.es/metma4/

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