Short note: Wavelet-based automated localization and classification of peaks in streamflow data series

Authors:
M. Pellegrini;F. Sini;A. C. Taramasso
Affiliations:
LIF srl, Via di Porto 159, 50018 Scandicci (Firenze), Italy;Centro Funzionale Multirischi, Dipartimento per le Politiche Integrate di Sicurezza e per la Protezione Civile, Regione Marche, Via Cameranense 1, 60125 Ancona, Italy;Dipartimento di Informatica Sistemistica e Telematica (DIST), Universitá di Genova, Campus Universitario di Savona, Via A. Magliotto 2, 17100 Savona, Italy
Venue:
Computers & Geosciences
Year:
2012

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Abstract

This paper combines discrete wavelet transform (DWT) with artificial intelligence algorithm in order to develop a new unsupervised method for fast detecting, localizing, and classifying flood events in real-world stage-discharge data time series. Localization is performed through a simple hill-climbing search algorithm initialized by the position of the highest DWT coefficients. The proposed method does not require any a priori information such as catchment characteristics or alert flood thresholds.