Wavelet-Based Automated Localization and Classification of Flood Events in Hydrologic Time Series
نویسندگان
چکیده
This paper combines discrete wavelet transform (DWT) with an artificial intelligence algorithm in order to develop a new unsupervised method for fast detecting, localizing and classifying flood events in real stage-discharge time series. The proposed method does not require any a priori information such as catchment characteristics or alert flood thresholds; moreover, the simplicity of the method allows for nearly realtime execution.
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تاریخ انتشار 2010