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使用 MATLAB 和 GIS 对印度西部半干旱地区的降雨进行指纹识别。

Fingerprinting of rainfall over semi-arid region, Western India, using MATLAB and GIS.

机构信息

School of Environment and Sustainable Development, Central University of Gujarat, Gandhinagar, 382030, India.

Space Applications Centre, Gujarat, Ahmedabad, 380015, India.

出版信息

Environ Monit Assess. 2023 Apr 25;195(5):610. doi: 10.1007/s10661-023-11225-6.

Abstract

The present study investigates long-term changes in the rainfall regime over the Sabarmati River Basin, Western India, during 1981-2020 using computational and spatial analysis tools. Daily gridded rainfall data from India Meteorological Department (IMD) at 0.25 × 0.25 spatial resolution was employed to determine changes in rainfall at annual, monthly, and seasonal scales and analyze changes in rainfall characteristics using different thresholds for dry/ wet days and prolonged spells over Western India. Mann-Kendall test, Sen slope estimation, and linear regression analysis indicate that annual and monsoon rainfall over the basin has increased while the rest of the seasons have shown a declining trend. However, none of the trends obtained was found to be statistically significant. Spatial analysis of rainfall trends for each decade between 1980 and 2020 revealed that certain parts of the basin had experienced a significant declining trend during 1991-2000. Monthly rainfall analysis indicates the presence of a unimodal distribution of rainfall and a shift in rainfall towards later monsoon months (August and September). It is also inferred that days with moderate rainfall have decreased while low and extreme rainfall events have increased over the basin. It is evident from the study that the rainfall regime is highly erratic, and the study is important in understanding the changes in the rainfall regime during the last 40 years. The study has significant implications for water resource management, agricultural planning, and mitigation of water-related disasters.

摘要

本研究利用计算和空间分析工具,调查了印度西部萨巴马提河流域(Sabarmati River Basin)在 1981-2020 年间降水格局的长期变化。本研究使用了印度气象局(IMD)提供的空间分辨率为 0.25×0.25 的每日格点降水数据,以确定在年、月和季节尺度上的降水变化,并使用不同的干湿日和持续期阈值分析降水特征的变化。曼恩-肯德尔检验、森斜率估计和线性回归分析表明,流域的年降水量和季风降水量呈增加趋势,而其余季节则呈下降趋势。然而,没有一个趋势被发现具有统计学意义。对 1980 年至 2020 年每个十年的降水趋势的空间分析表明,在 1991-2000 年期间,流域的某些部分经历了显著的下降趋势。月降水量分析表明,降水呈单峰分布,且向后期季风月份(8 月和 9 月)转移。此外,研究还推断出,流域的中等强度降水天数减少,而低强度和高强度降水事件增加。研究表明,降雨格局高度不稳定,本研究对于理解过去 40 年降雨格局的变化具有重要意义。该研究对水资源管理、农业规划和减轻与水有关的灾害具有重要意义。

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