Suppr超能文献

利用标准化降水指数分析东尼罗河流域的干旱情况。

Drought analysis in the Eastern Nile basin using the standardized precipitation index.

机构信息

Hydraulics and Irrigation Engineering Department, Faculty of Engineering, Tanta University, Tanta, Egypt.

出版信息

Environ Sci Pollut Res Int. 2018 Nov;25(31):30772-30786. doi: 10.1007/s11356-016-8347-9. Epub 2017 Jan 31.

Abstract

Drought is considered by many researchers to be the most complex but least understood of all natural hazards, affecting more people than any other hazard. Drought affects many aspects of community and environment, and any future increases in the water demand will be most critical in periods of severe drought. Geospatial analysis of the historical drought events and their causes can be used to mitigate drought impacts and to develop preparedness plans. This study aimed to identify the changes in drought frequency, magnitude, duration, and intensity in the Eastern Nile basin during the period 1965-2000, using the standardized precipitation index (SPI). An SPI program based on C sharp language was developed to monitor drought in the study area. Twenty-eight meteorological stations distributed on the Eastern Nile basin were chosen to collect monthly precipitation data. For drought analysis, SPI series of 3-, 6-, 9-, 12-, and 24-month timescales have been calculated. Results showed that the study area received several drought events during the long rainy season (June to September) and the short rainy season (March to May) as well. Annual analysis of SPI time series indicated that the study area received several drought events, and the most severity event was during the year 1984.

摘要

许多研究人员认为,干旱是所有自然灾害中最复杂但了解最少的一种,它影响的人数比任何其他灾害都多。干旱影响到社区和环境的许多方面,任何未来对水资源需求的增加,在严重干旱时期都将是最关键的。对历史干旱事件及其原因的地理空间分析可用于减轻干旱影响并制定备灾计划。本研究旨在利用标准化降水指数(SPI)确定 1965-2000 年期间东尼罗河流域干旱频率、幅度、持续时间和强度的变化。基于 C#语言开发了一个 SPI 程序,用于监测研究区域的干旱情况。选择了分布在东尼罗河流域的 28 个气象站来收集每月降水数据。为了进行干旱分析,计算了 3、6、9、12 和 24 个月时间尺度的 SPI 序列。结果表明,研究区域在长雨季(6 月至 9 月)和短雨季(3 月至 5 月)期间也经历了几次干旱事件。SPI 时间序列的年度分析表明,研究区域发生了几次干旱事件,最严重的事件发生在 1984 年。

相似文献

1
Drought analysis in the Eastern Nile basin using the standardized precipitation index.
Environ Sci Pollut Res Int. 2018 Nov;25(31):30772-30786. doi: 10.1007/s11356-016-8347-9. Epub 2017 Jan 31.
2
Development of an annual drought classification system based on drought severity indexes.
An Acad Bras Cienc. 2019;91(1):e20180188. doi: 10.1590/0001-3765201920180188. Epub 2019 Apr 8.
3
Comparison of drought indices in the analysis of spatial and temporal changes of climatic drought events in a basin.
Environ Sci Pollut Res Int. 2019 Apr;26(11):10695-10707. doi: 10.1007/s11356-019-04529-z. Epub 2019 Feb 18.
4
Monitoring of meteorological and hydrological droughts in the Vistula basin (Poland).
Environ Monit Assess. 2018 Oct 30;190(11):691. doi: 10.1007/s10661-018-7058-8.
6
Drought assessment using a TRMM-derived standardized precipitation index for the upper São Francisco River basin, Brazil.
Environ Monit Assess. 2017 Jun;189(6):250. doi: 10.1007/s10661-017-5948-9. Epub 2017 May 3.
7
Spatio-Temporal Analysis of Drought Variability Using CWSI in the Koshi River Basin (KRB).
Int J Environ Res Public Health. 2019 Aug 26;16(17):3100. doi: 10.3390/ijerph16173100.
9
Exploring spatial and temporal drought over the semi-arid Sahibi river basin in Rajasthan, India.
Environ Monit Assess. 2021 Oct 21;193(11):743. doi: 10.1007/s10661-021-09539-4.
10
Drought analysis for Kuwait using standardized precipitation index.
ScientificWorldJournal. 2014;2014:451841. doi: 10.1155/2014/451841. Epub 2014 Oct 20.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验