Climate Change Data Portal
| DOI | 10.1007/s12040-024-02282-7 |
| Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins | |
| 发表日期 | 2024 |
| ISSN | 2347-4327 |
| EISSN | 0973-774X |
| 起始页码 | 133 |
| 结束页码 | 2 |
| 卷号 | 133期号:2 |
| 英文摘要 | Studying rainfall patterns is very important because agricultural production and flood conditions depend on proper water management. Therefore, accurately identifying trends in climate scenarios is essential to achieve this goal. This study, therefore, analyses rainfall trends using the Mann-Kendall test (MKT), modified Mann-Kendall test (MMKT), Spearman rank correlation (SRC), Sen slope estimator (SSE), and innovative trend analysis method (ITAM). This investigation analyses annual, monsoon, autumn, summer, and winter rainfall trends using the most extensive hydrometeorological time series from 1901 to 2020. Five such methods of trend analysis use 120 years of gridded meteorological data from the India Meteorological Department for the neighbouring four river basins Kangsabati, Keliaghai, Silabati, and Dwarkeswer in east India. For the winter period, no significant trend is detected using the MKT, MMKT, SRC, and SSE. While the ITAM detects a significant trend at 88% of grid points of the study area. During other seasons, the MKT, MMKT, SRC and SSE notice trends for 76% of grid points with less significance than the ITAM method. Overall results obtained using the ITAM and MMKT methods are proved to be more effective in detecting sensitive trends. This study can serve as scientific support for the identification and strategic mitigation of climatic change impacts on water management to reduce the risk of climate change. |
| 英文关键词 | Rainfall trends; modified Mann-Kendall test; innovative trend analysis; Sen slope estimator; Spearman rank correlation |
| 语种 | 英语 |
| WOS研究方向 | Geology ; Science & Technology - Other Topics |
| WOS类目 | Geosciences, Multidisciplinary ; Multidisciplinary Sciences |
| WOS记录号 | WOS:001197561500010 |
| 来源期刊 | JOURNAL OF EARTH SYSTEM SCIENCE
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/296627 |
| 作者单位 | Jadavpur University |
| 推荐引用方式 GB/T 7714 | . Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins[J],2024,133(2). |
| APA | (2024).Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins.JOURNAL OF EARTH SYSTEM SCIENCE,133(2). |
| MLA | "Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins".JOURNAL OF EARTH SYSTEM SCIENCE 133.2(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
