Long term trend analysis on precipitation in Ajmer District of Rajasthan State, India

Pub Date : 2023-01-01 DOI:10.1504/ijhst.2023.134624
Jinal H. Pastagia, Darshan J. Mehta
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Abstract

This research focuses on long-term patterns of climatic variability, such as precipitation. Rainfall trends in the Ajmer region were assessed using the Mann-Kendall (MK) test, Sen's slope estimator, and the innovative trend analysis (ITA) technique on various time scales. Monthly precipitation data were used for the period of 121 years, i.e., 1901-2021. Trends (1901-2021) were assessed at the 5% significant level using a statistical trend analysis method called the Mann-Kendall test. Mann-Kendall trend analysis result reveals an insignificant increase in the region of Ajmer District. At any time, series across the Ajmer District, there is no clear increase or decrease trend. According to the results of the ITA test, all four seasons and annual trends indicate decreasing. Almost all the significant trends identified using the M-K method were excellently recognised by the ITA method. The finding of the study will be useful to understand the risks and vulnerabilities of seasonal and annual precipitation under climate change scenarios in the region.
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印度拉贾斯坦邦Ajmer地区降水的长期趋势分析
这项研究的重点是气候变化的长期模式,如降水。利用Mann-Kendall (MK)检验、Sen’s斜率估计和创新趋势分析(ITA)技术对阿杰梅尔地区不同时间尺度的降雨趋势进行了评估。采用1901-2021年121年的逐月降水资料。使用称为Mann-Kendall检验的统计趋势分析方法,在5%显著水平下评估趋势(1901-2021)。Mann-Kendall趋势分析结果显示,阿杰梅尔地区的增长不显著。在任何时间,序列跨越阿杰梅尔地区,没有明显的增减趋势。根据ITA测试结果,四季和年趋势均呈下降趋势。几乎所有使用M-K方法确定的重要趋势都被ITA方法很好地识别出来。研究结果将有助于了解该地区在气候变化情景下季节性和年降水量的风险和脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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