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Innovative trend analysis of monsoon season rainfall of Kerala state

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Publicado en:Journal of Agrometeorology vol. 27, no. 3 (Sep 2025), p. 369-373
Autor principal: Yewale, Yogesh R
Otros Autores: Jadhav, M S
Publicado:
Association of Agrometeorologist
Materias:
India
Kerala India
Resource allocation
Graphical methods
Trend analysis
Wavelet transforms
Trends
Rainfall
Water resources
Seasons
Discrete Wavelet Transform
Water resources management
Statistical methods
Time series
Rainfall patterns
Precipitation
Hypotheses
Monsoon rainfall
Monsoons
Environmental
Acceso en línea:Citation/Abstract
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Resumen:Administrators also benefit from understanding rainfall patterns as it facilitates informed decisions on water resource allocation, while it is helpful to farmers in strategic crop planning. Various statistical methods, viz., Mann-Kendall (MK) method, Sen slope (SS) method (Shankar and Sharma, 2025) Spearman's rank correlation method, modified Mann-Kendall method (MMK) (Ghanim et al., 2023), sequential Mann-Kendall method (SQMK), discrete wavelet transform (DWT) method, innovative trend analysis (ITA) method (Al-Lami et al., 2024), have been used to detect the trends in rainfall. The Innovative Trend Analysis (ITA) is a graphical method for detecting trends in the data which can be applied to the data regardless of its distribution, data size, and serial correlation. For August, the MK, SS, and MMK could not detect the trend that the ITA method successfully did. [...]the ITA method outperforms over MK, SS, and MMK methods.
ISSN:0972-1665
DOI:10.54386/jam.v27i3.3006
Fuente:Agriculture Science Database