Modelling the relationship between streamflow and electrical conductivity in hollin creek, southeastern australia

  • Authors:

  • Jess Spate

  • Affiliations:

  • Institute of Mathematical Sciences, and Integrated Catchment Assessment and Management Centre, Australian National University

  • Venue:
  • IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
  • Year:
  • 2005

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Abstract

The relationship between streamflow q and electrical conductivity k is explored in this paper, using data from Hollin Cave Spring in New South Wales, Australia. A temporal rule extraction algorithm is used to identify frequent patterns in each time series. The frequent patterns are then refined using the concept of profile convexity, and parametrised for compactness of representation, before the coupling between flow and conductivity is examined. Results show that two frequent peak patterns occur in flow and two troughs in electrical conductivity, and that the shapes of all these can be characterised with a single magnitude parameter. The coupling between events in the two series is investigated, and reveals that the depth of k troughs depend heavily on the initial state of k, and more weakly on the magnitude of the flow peak.