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印度希姆沙河流域时空降雨变化及趋势分析。

Spatiotemporal Rainfall Variability and Trend Analysis of Shimsha River Basin, India.

机构信息

Department of Civil Engineering, GITAM School of Technology, GITAM University, Bengaluru, Karnataka, India.

Department of Civil Engineering, GITAM School of Technology, GITAM University, Visakhapatnam, Andhra Pradesh, India.

出版信息

Environ Sci Pollut Res Int. 2023 Oct;30(49):107084-107103. doi: 10.1007/s11356-023-25720-3. Epub 2023 Feb 11.

Abstract

Karnataka state has the second highest rainfed agricultural land in India, where agricultural output relies heavily on rainfall. The Shimsha basin, a sub-basin of Cauvery in the state, comes under a semi-arid region and predominantly consists of rainfed agricultural land. Rainfall patterns have changed dramatically with time resulting in frequent floods and droughts. Understanding the spatiotemporal distribution of rainfall and its change patterns in the area would benefit sustainable agriculture planning and water resources management practices. The current study aims to determine the variability and trend in rainfall. The daily rainfall data of the Shimsha basin from 1989 to 2018 is collected, and the annual, seasonal, and monthly rainfall totals and the number of rainy days are derived. All the time series are subjected to statistical methods to examine rainfall variability and trend. The mean, standard deviation, coefficient of variation (CV), and Standardized Anomaly Index are used for the preliminary and variability analysis, while the coefficient of skewness and kurtosis are used to understand the rainfall distribution characteristics. The homogenous and serially independent series are identified by homogeneity and serial correlation tests. The trend in the homogenous and serially independent series is identified by Mann-Kendall and Spearman's rank correlation tests, while the magnitude of the trend is quantified using the Sen's slope technique, and the trend change point is evaluated using the sequential Mann-Kendall test. Based on the study, the average rainfall in the study area is 801.86 mm, with CV ranging from 43.3 to 22.27%. The southwest monsoon (SWM) season brings the greatest rain to the basin, followed by the post-monsoon (PM), summer, and winter seasons. In the annual time frame, except one station, all other stations have shown significant or insignificant increasing trends. The seasonal rainfall has shown insignificant rising trends during the summer and winter seasons while insignificant increasing and decreasing trends during the PM season. The SWM season has indicated significant increasing trends, insignificant increasing and decreasing trends. Overall, the study area has noticed an increased annual and seasonal rainfall except for the post-monsoon season, during which the rainfall showed a considerable decline. The findings of the study are helpful in water resource management, agricultural planning, and socioeconomic development in the study area.

摘要

卡纳塔克邦是印度拥有第二大雨育农业用地的邦,其农业产出高度依赖降雨。该邦的卡弗里河的次流域希姆沙盆地属于半干旱地区,主要由雨育农业用地组成。随着时间的推移,降雨模式发生了巨大变化,导致频繁发生洪灾和旱灾。了解该地区的降雨时空分布及其变化模式将有利于可持续农业规划和水资源管理实践。本研究旨在确定降雨的可变性和趋势。收集了希姆沙盆地 1989 年至 2018 年的日降雨量数据,并得出了年、季和月降雨量总和以及降雨天数。对所有时间序列进行了统计分析,以检验降雨的可变性和趋势。使用平均值、标准差、变异系数(CV)和标准化异常指数进行初步和可变性分析,而偏度和峰度系数用于了解降雨分布特征。通过均匀性和序列相关性检验来识别均匀和序列独立的序列。通过曼恩-肯德尔和斯皮尔曼等级相关检验来识别均匀和序列独立序列的趋势,使用 Sen 斜率技术来量化趋势的幅度,并使用连续曼恩-肯德尔检验来评估趋势变化点。根据研究结果,研究区域的平均降雨量为 801.86 毫米,CV 范围为 43.3 至 22.27%。西南季风(SWM)季节为盆地带来最大降雨量,其次是后季风(PM)、夏季和冬季。在年度时间框架内,除了一个站外,其他所有站都显示出显著或不显著的增加趋势。在夏季和冬季,季节降雨量呈不显著上升趋势,而在 PM 季节则呈不显著的上升和下降趋势。SWM 季节呈显著上升趋势,不显著上升和下降趋势。总体而言,除了后季风季节,研究区的年和季节降雨量都有所增加,后季风季节的降雨量则大幅下降。研究结果有助于该地区的水资源管理、农业规划和社会经济发展。

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