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Trend Analysis of Long-Term Rainfall Data Series
This paper presents some interesting results of trend analysis of long-term rainfall data series. The long-term precipitation data series for India the period 1871–2016, published in 2017 by Kothawale and Rajeevan, were used. Mann–Kendall, Sen’s Innovative Trend Analysis Method and Wavelet Decomposition were used to analyze the data. While MK test showed no trend in any of the series used, (Sen in J Hydrol Eng, 2012) method revealed trends in different ranges of the data. Further, the wavelet decomposed series helped identify the periods of high variabilities in the various components of data series. Additional insights provided by these methods could be of immense value in identifying the likely future behavior of the data and the implications for water management.
Trend Analysis of Long-Term Rainfall Data Series
This paper presents some interesting results of trend analysis of long-term rainfall data series. The long-term precipitation data series for India the period 1871–2016, published in 2017 by Kothawale and Rajeevan, were used. Mann–Kendall, Sen’s Innovative Trend Analysis Method and Wavelet Decomposition were used to analyze the data. While MK test showed no trend in any of the series used, (Sen in J Hydrol Eng, 2012) method revealed trends in different ranges of the data. Further, the wavelet decomposed series helped identify the periods of high variabilities in the various components of data series. Additional insights provided by these methods could be of immense value in identifying the likely future behavior of the data and the implications for water management.
Trend Analysis of Long-Term Rainfall Data Series
Lecture Notes in Civil Engineering
Timbadiya, P. V. (editor) / Singh, Vijay P. (editor) / Sharma, Priyank J. (editor) / Jain, Sharad K. (author)
International Conference on Hydraulics, Water Resources and Coastal Engineering ; 2021
2023-05-24
13 pages
Article/Chapter (Book)
Electronic Resource
English
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