The methodology used in the identification and characterization of transient water quality events using wavelet transforms is described. The use of wavelets in the analysis of transient events is a distinct improvement over the methods which have been used previously, as wavelets are better suited to aperiodic processes than frequency decomposition. The methods presented here allow us to identify the location, duration and magnitude of a transient event in a water quality time series.

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