Identification of homogeneous rainfall regions and long-term trends in Bankura and Purulia districts, West Bengal

IF 2.1 4区 地球科学
Prasanya Sarkar, Sujit Kumar Roy, Debolina Pandit, Madhumita Mondal, Alok Sarkar, Shasanka Kumar Gayen
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引用次数: 0

Abstract

The study examines the seasonal and annual rainfall patterns and variability of 20 Indian Meteorological Department (IMD) stations in the Bankura and Purulia districts using seasonal precipitation data compiled by the Indian Meteorological Department spanning 43 years (1980–2022) at a grid size of 0.25 latitude × 0.25 longitude. The southwest monsoon is the main source of seasonal rainfall, accounting for most of the rainfall each year. The winter and post-monsoon seasons bring only a little rain. There is significant seasonal variation in rainfall across the study area, with substantial differences from place to place. This is because of monsoonal patterns and the land’s topography. K-means and Fuzzy C-means clustering methods were employed to identify homogeneous rainfall regions. K-means clustering identified five distinct rainfall regions with varying characteristics, while Fuzzy C-means clustering provided a nuanced view of overlapping rainfall patterns. Annual rainfall trend analysis using the Innovative Trend Analysis (ITA) and Mann–Kendall tests indicates a predominantly decreasing trend across most stations, suggesting a long-term decline in rainfall. However, a few stations (G1, G7, G18, and G19) exhibit weak increasing trends in annual rainfall, highlighting localized variability within the region. These findings underscore a general decline in rainfall across the study area, with implications for water resource management and agricultural practices. The results highlight the need for adaptive strategies to manage the impacts of declining rainfall and inform future research and climate adaptation efforts.

西孟加拉邦班库拉和普鲁里亚地区均匀降雨区域和长期趋势的确定
该研究利用印度气象部门编制的43年(1980-2022年)的季节性降水数据,在0.25纬度× 0.25经度的网格尺寸上,研究了班库拉和普鲁里亚地区20个印度气象部门(IMD)站的季节性和年度降雨模式和变化。西南季风是季节性降雨的主要来源,占每年降雨量的大部分。冬季和后季风季节只带来少量降雨。整个研究区域的降雨量存在显著的季节变化,各地差异很大。这是由于季风模式和土地的地形。采用K-means和模糊C-means聚类方法识别均匀降雨区域。K-means聚类识别出5个具有不同特征的不同降雨区域,而模糊C-means聚类则提供了重叠降雨模式的细致视角。利用创新趋势分析(ITA)和Mann-Kendall检验进行的年降雨量趋势分析表明,大多数台站的降雨量主要呈减少趋势,表明降雨量长期下降。然而,G1、G7、G18和G19等站点的年降雨量呈现微弱的增加趋势,突出了区域内的局地变率。这些发现强调了整个研究区域的降雨量普遍下降,这对水资源管理和农业实践都有影响。研究结果强调需要采取适应性策略来管理降雨量下降的影响,并为未来的研究和气候适应工作提供信息。
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来源期刊
Acta Geophysica
Acta Geophysica GEOCHEMISTRY & GEOPHYSICS-
CiteScore
3.80
自引率
13.00%
发文量
251
期刊介绍: Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.
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