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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Agrawal, R., Srikant, R.: Fast Algorithms for Mining Association Rules. In: VLDB 1994: Proceedings of the 20th international conference on Very Large DataBases, pp. 487–499 (1994)
Antunes, C.M., Oliveira, A.L.: Temporal Data Mining: An Overview. In: KDD 2001: Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2001)
Chen, J., He, H., Williams, G.J., Jin, H.: Temporal Sequence Associations for Rare Events. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 239–239. Springer, Heidelberg (2004)
Hipel, K., McLeod, A., Lennox, W.: Advances in Box-Jenkins modelling, 1, model construction. Water Resources Research 13, 567–575 (1977)
Optimal Karst Managment.: Personal Correspondence (2004,2005)
Spate, A.P., Jennings, J.N., Smith, D.I., James, J.M.: A Triple Dye Tracing Experiment at Yarrangobilly. Helictite: Journal of Australasian Cave Research 14, 27–48 (1976)
Spate, J.: A Detailed Analysis of Electrical Conductivity in Hollin Cave Spring (2005) (In preparation)
Su, F., Zhou, C., Lyne, V., Du, Y., Shi, W.: A Data-Mining Approach to Determine the Spatio-Temporal Relationship Between Environmental Factors and Fish Distribution. Ecological Modelling. 174, 421–431 (2004)
Winarko, E., Roddick, J.F.: Relative Temporal Association Rule Mining. In: Proceedings of the 2nd Australasian Data Mining Workshop, pp. 121–142 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Spate, J. (2005). Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia. In: Famili, A.F., Kok, J.N., Peña, J.M., Siebes, A., Feelders, A. (eds) Advances in Intelligent Data Analysis VI. IDA 2005. Lecture Notes in Computer Science, vol 3646. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552253_38
Download citation
DOI: https://doi.org/10.1007/11552253_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28795-7
Online ISBN: 978-3-540-31926-9
eBook Packages: Computer ScienceComputer Science (R0)