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Investigating the temporal dynamics of rainfall in a changing climate, especially in rainfed agriculture regions, is crucial for analyzing climate-induced changes and offering adaptation options. Since Mizoram experiences unfavorable impacts of rain nearly every year, the region rainfall has been altering over the years, and vital climatic activity is becoming uncontrollable. The current study is primarily concerned with the changing trend of rainfall over Mizoram, which includes both short-term persistence (STP) and long-term persistence (LTP) of rainfall in seasonal and annual time series of rainfall overseeing for the period of 25 years of daily average rainfall from 1996 to 2020 collected collectively from the seven stations over the study area of Mizoram. Four different Mann-Kendall method iterations were used to analyze rainfall trends: the original or conventional method (without autocorrelation) (MnKn1), removing lag-1 autocorrelation (trend-free pre-whitening), considering multiple lag autocorrelation (more than lag-1 autocorrelation) (MnKn3), and Hurst coefficient or LTP (MnKn4). In the analysis, the study found that during monsoon, station Lawngtlai (LT) observed the highest rainfall having a Z value of 1.986, increased by 0.466 cm/year, while station Serchhip (SC) observed the lowest rainfall having Z value of -2.282, decreased by -0.163 cm/year. After applying modified MnKn4, we observed LTP of rainfall in winter at station Lawngtlai (LT) with an increasing trend and other stations observing STP in almost all seasons either increasing or decreasing trend. Therefore, possible climate change adaptation measures should be made to optimize rainfall use for various applications for the states of Mizoram.

Titel:	Influence of short- and long-term persistence on identification of rainfall temporal trends using different versions of the Mann-Kendall test in Mizoram, Northeast India.
Autor/in / Beteiligte Person:	Pandey, V ; Pandey, PK ; Chakma, B ; Ranjan, P
Link:	Full Text Finder (Volltext)
Zeitschrift:	Environmental science and pollution research international, Jg. 31 (2024-02-01), Heft 7, S. 10359-10378
Veröffentlichung:	<2013->: Berlin : Springer ; <i>Original Publication</i>: Landsberg, Germany : Ecomed, 2024
Medientyp:	academicJournal
ISSN:	1614-7499 (electronic)
DOI:	10.1007/s11356-023-29436-2
Schlagwort:	India Climate Change Seasons Environmental Monitoring methods Rain Agriculture
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article Language: English [Environ Sci Pollut Res Int] 2024 Feb; Vol. 31 (7), pp. 10359-10378. <i>Date of Electronic Publication: </i>2023 Aug 30. MeSH Terms: Rain* ; Agriculture* ; India ; Climate Change ; Seasons ; Environmental Monitoring / methods References: Bora SL, Bhuyan K, Hazarika PJ, Gogoi J, Goswami K (2022) Analysis of rainfall trend using non-parametric methods and innovative trend analysis during 1901–2020 in seven states of North East India. Curr Sci 122(7). ; Cox DR, Stuart A (1955) Some quick sign tests for trend in location and dispersion. Biometrika 42:80–95. (PMID: 10.1093/biomet/42.1-2.80) ; Dinpashoh Y, Mirabbasi RS, Jhajharia D, Abianeh HZ, Mostafaeipour A (2014) Effect of short-term and long-term persistence on identification of temporal trends. J Hydrol Eng 19:617–625. 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(PMID: 10.1029/2001WR000861) Contributed Indexing: Keywords: Climate change; Modified Mann-Kendall test; Rainfall; Sen’s slope; Serial correlation; Trend analysis Entry Date(s): Date Created: 20230830 Date Completed: 20240208 Latest Revision: 20240208 Update Code: 20240208

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Influence of short- and long-term persistence on identification of rainfall temporal trends using different versions of the Mann-Kendall test in Mizoram, Northeast India.