Global warming is a biggest issue around the world. In this research paper, the temporal and spatial trend analysis of seasonal and annual rainfall on Bhogavo River watersheds in Sabarmati lower basin of Gujarat state of India has been analysed using the data of 11 rain gauge stations installed in Bhogavo watershed. Linear regression, Mann–Kendall Test, Sen’s slope test and innovative trend analysis methods are used to carry out monthly and annual rainfall trend analysis. In addition to the rainfall analysis, a number of rainy days change in magnitude as a percentage of mean rainfall have also been analysed using linear regression and Sen’s slope method, respectively. The IDW method is used to develop a spatial distribution of annual and seasonal rainfall trend over the study area. From the results, it is concluded that annual rainfall shown increasing (positive) trend at nine stations out of 11 stations. The highest value of change in magnitude of trend as a percentage of mean monthly rainfall has been obtained in the month of July, attributing increasing trend at Sayla station and lowest value magnitude of trend as a percentage of mean rainfall in the monthly rainfall has been obtained in the month of August, attributing decreasing trend at Bavla station.

全球变暖是全球最大的问题。本文利用印度Bhogav​​o流域安装的11个雨量计站的数据，分析了印度古吉拉特邦Sabarmati下盆地Bhogav​​o河流域的季节性和年度降雨的时空趋势分析。线性回归，Mann–Kendall检验，Sen的斜率检验和创新的趋势分析方法用于进行每月和每年的降雨趋势分析。除了进行降雨分析外，还分别使用线性回归和Sen斜率方法分析了许多雨天的变化幅度，以平均降雨量的百分比表示。IDW方法用于在研究区域内开发年度和季节性降雨趋势的空间分布。从结果来看 可以得出结论，在11个站中有9个站的年降雨量显示出（正）增长趋势。在7月份获得了趋势变化幅度的最高值（按月平均降雨量的百分比），归因于Sayla站的趋势呈上升趋势，而获得了趋势变化值的最小值（按月平均降雨量的百分比）在8月，Bavla站的归因于下降趋势。