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Application of Discrete Wavelet Transform Approach to Identify Influential Periodicities Affecting Trends in Extreme Temperatures of the Cauvery River Basin, India

Author(s): Malluraj C. Hitni; Ganesh D. Kale

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Keywords: Cauvery River Basin; Climate Change; DWT; Extreme Temperatures; Periodicity; Trend

Abstract: This study has identified influential periodicities affecting maximum temperature (Tmax) and minimum temperature (Tmin) trends over the Cauvery River Basin (CRB) in India for the period 1970 to 2022. The discrete wavelet transform (DWT) method is employed to decompose the time series into various periodicities to identify the most influential periodicities impacting extreme temperature trends corresponding to annual, seasonal and monthly time scales. Results indicated that, 2-year periodicity significantly influenced both Tmax and Tmin trends on annual and seasonal scales, while the 8-month periodicity is found to be dominantly affecting monthly trends. This periodicity analysis supported by the Sequential Mann-Kendall (SQMK) test highlights key periodicities essential for management of regional water resource and formulating climate adaptation strategies. The combined use of DWT and SQMK provided a robust methodology to assess periodicities in climate data, which is applicable across the world for comprehensive climate change studies. This methodology will be beneficial for hydrologists and environmental engineers in predicting future climate impacts and for water resource management.

DOI: https://doi.org/10.64697/978-90-835589-7-4_41WC-P2041-cd

Year: 2025

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