The Precipitation Concentration in the Cheliff Watershed, Algeria: A Critical Analysis for Sustainable Water Resource Management

IF 1.6 Q3 URBAN STUDIES
Samiha BRAHIMI, Hind MEDDI, Mohamed MEDDI, Faiza HALLOUZ, Abdelamir SAAED HAMOUDI
{"title":"The Precipitation Concentration in the Cheliff Watershed, Algeria: A Critical Analysis for Sustainable Water Resource Management","authors":"Samiha BRAHIMI, Hind MEDDI, Mohamed MEDDI, Faiza HALLOUZ, Abdelamir SAAED HAMOUDI","doi":"10.1142/s2345748123500136","DOIUrl":null,"url":null,"abstract":"In this study, a statistical analysis of historical and projected values of the annual, seasonal, and supra-seasonal precipitation concentration index (PCI) was conducted for different stations in the Cheliff watershed. Statistical methods such as breakpoint and trend analysis using Pettitt and Mann–Kendall tests were used for the PCI values of annual, monthly, and supra-seasonal precipitation data between 1950 and 2014. The PCI values varied between 14.24% and 24.86% annually, between 10.75% and 18.74% seasonally, and between 11.23% and 26.98% supra-seasonally. According to the Pettitt and Mann–Kendall tests, there was an insignificant change in precipitation distribution during the study period. Spatial analysis using the inverse distance weighting (IDW) method confirmed the minor variability in precipitation distribution in the study area. The Pearson correlation coefficient between oscillation indices and PCI values at different scales showed significant values with the Mediterranean Oscillation index (MOi), North Atlantic Oscillation (NAO), and Western Mediterranean Oscillation index (WeMOi), highlighting their potential influence on annual PCI values. For the climate projection scenarios, projected PCI values align with historical PCI values. Application of Pettitt and Mann-Kendall tests to the projected PCI series shows that there will not be a significant change in future precipitation distribution.","PeriodicalId":43051,"journal":{"name":"Chinese Journal of Urban and Environmental Studies","volume":"87 1","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Urban and Environmental Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2345748123500136","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"URBAN STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, a statistical analysis of historical and projected values of the annual, seasonal, and supra-seasonal precipitation concentration index (PCI) was conducted for different stations in the Cheliff watershed. Statistical methods such as breakpoint and trend analysis using Pettitt and Mann–Kendall tests were used for the PCI values of annual, monthly, and supra-seasonal precipitation data between 1950 and 2014. The PCI values varied between 14.24% and 24.86% annually, between 10.75% and 18.74% seasonally, and between 11.23% and 26.98% supra-seasonally. According to the Pettitt and Mann–Kendall tests, there was an insignificant change in precipitation distribution during the study period. Spatial analysis using the inverse distance weighting (IDW) method confirmed the minor variability in precipitation distribution in the study area. The Pearson correlation coefficient between oscillation indices and PCI values at different scales showed significant values with the Mediterranean Oscillation index (MOi), North Atlantic Oscillation (NAO), and Western Mediterranean Oscillation index (WeMOi), highlighting their potential influence on annual PCI values. For the climate projection scenarios, projected PCI values align with historical PCI values. Application of Pettitt and Mann-Kendall tests to the projected PCI series shows that there will not be a significant change in future precipitation distribution.
降水浓度在切里夫流域,阿尔及利亚:可持续水资源管理的关键分析
本文对chiff流域不同站点的年、季节和超季节降水浓度指数(PCI)的历史值和预测值进行了统计分析。采用断点分析和趋势分析等统计方法,采用Pettitt检验和Mann-Kendall检验对1950 - 2014年年、月和超季节降水数据的PCI值进行分析。PCI值每年变化14.24% ~ 24.86%,季节性变化10.75% ~ 18.74%,超季节性变化11.23% ~ 26.98%。根据Pettitt和Mann-Kendall检验,研究期间降水分布变化不显著。利用逆距离加权(IDW)方法进行空间分析,证实了研究区降水分布的微小变异性。不同尺度上振荡指数与PCI值的Pearson相关系数与地中海振荡指数(MOi)、北大西洋振荡指数(NAO)和西地中海振荡指数(WeMOi)均呈显著值,突出了它们对PCI年值的潜在影响。对于气候预估情景,预估的PCI值与历史PCI值一致。对预估的PCI序列进行Pettitt和Mann-Kendall检验表明,未来降水分布不会发生显著变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.90
自引率
0.00%
发文量
24
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信