Spatio-temporal rainfall distribution and trend analysis of upper Godavari basin, India

IF 1.827 Q2 Earth and Planetary Sciences
Jyoti Pathare, Pragati Deshmukh, Ashali Kharake, Anilkumar Pathare
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引用次数: 0

Abstract

This current research analyzed the spatio-temporal trends and variability of monsoon season and month-wise rainfall for 26 tehsils in the upper Godavari basin (UGB) of Maharashtra, India. An attempt has been evaluated on rainfall data (1998–2023) obtained from the Department of Agriculture, Maharashtra. To assess the basic trends of the rainfall data statistical techniques, i.e., mean monthly and monsoonal rainfall, standard deviation (SD), and non-parametric method such as Mann–Kendall (MK) trend test, furthermore, simple linear regression (SLR) equation has been applied. Rainfall variability has been examined using the coefficient of variation (CV), and analyzed data has been incorporated into the GIS environment to prepare various maps. The MK analysis revealed an insignificant decreasing trend, especially in June, which suggests a declining trend in rainfall quantity. In contrast, an insignificant increasing trend has been noticed in September which interprets that maximum rainfall occurred in this month in the UGB. In the monsoon season, most of the places denoted no trend, while Dindori (Z = 2.51) and Akole (Z = 1.76) tehsils show significant increasing trends but a drastic decline in the Igatpuri tehsil (Z = − 2.65) The rainfall has been seen to increase towards the west due to the block posed by the Western Ghat to the east-flowing monsoon wind. This study also revealed the monsoon rainfall varied between 93% (Ahmednagar tehsil) and 25% (Aurangabad tehsil) and monsoon month-wise maximum variability (154%) at Ahmednagar in September and minimum (29%) at Igatpuri in July. The approach adopted in this paper identified the micro-level rainfall distribution, trend, and variability which will be greatly advantageous for sustainable water resource management.

印度上戈达瓦里盆地降雨时空分布与趋势分析
本研究分析了印度马哈拉施特拉邦上戈达瓦里盆地(UGB)26 个乡的季风季节和月降雨量的时空趋势和变异性。我们尝试对从马哈拉施特拉邦农业部获得的降雨量数据(1998-2023 年)进行评估。为了评估降雨数据的基本趋势,采用了统计技术,即月平均降雨量和季风降雨量、标准偏差(SD)和非参数方法,如曼-肯德尔(MK)趋势检验,以及简单线性回归(SLR)方程。利用变异系数(CV)对降雨量的变异性进行了研究,并将分析数据纳入地理信息系统环境,以绘制各种地图。MK 分析显示,降雨量呈显著下降趋势,尤其是在 6 月份,这表明降雨量呈下降趋势。与此相反,9 月份的降雨量呈显著增加趋势,这说明 UGB 在该月降雨量最大。在季风季节,大多数地方的降雨量没有变化趋势,而丁多里村(Z = 2.51)和阿科勒村(Z = 1.76)的降雨量呈显著上升趋势,但伊加特普里村(Z = - 2.65)的降雨量急剧下降。这项研究还显示,季风降雨量的变化范围在 93% (艾哈迈德纳加尔县)和 25% (奥兰加巴德县)之间,9 月份艾哈迈德纳加尔的季风月变化最大(154%),7 月份伊加特普里的季风月变化最小(29%)。本文采用的方法确定了微观层面的降雨分布、趋势和变异性,这对可持续水资源管理大有裨益。
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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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