Evaluating the correlation of SPI, SPEI, and SSI with climatic and socioeconomic factors for drought monitoring

IF 1 Q4 ENGINEERING, ENVIRONMENTAL
Amrit Babu Ghimire, Omar Faruk, Nur Shadia, Utsav Parajuli, Sangmin Shin
{"title":"Evaluating the correlation of SPI, SPEI, and SSI with climatic and socioeconomic factors for drought monitoring","authors":"Amrit Babu Ghimire, Omar Faruk, Nur Shadia, Utsav Parajuli, Sangmin Shin","doi":"10.1680/jenes.23.00070","DOIUrl":null,"url":null,"abstract":"Droughts have become more severe and prolonged in recent years, causing significant social and environmental impacts. Analysing drought conditions with various climatic and socio-economic factors is critical for effective drought monitoring. This study investigated the correlation between drought severity and climatic and socio-economic changes in a study area – San Diego County, CA, USA. The drought severity was quantified using three drought indices: standardised precipitation index, standardised precipitation evapotranspiration index and standardised streamflow index. These indices were also used to describe the variation of the drought severity in the study area. The study employed Spearman’s correlation coefficient analysis to evaluate the correlations between the drought indices and climatic and socio-economic factors. The results showed that the drought indices indicated similar variations of the droughts in the study area. However, the severity, duration and frequency of the droughts varied with the timescales in the drought index analysis. Additionally, this study found that the drought conditions based on the three indices had strong negative correlations with precipitation, soil moisture, agricultural area and forest area, which were more pronounced as the timescale increased. The findings will provide insights into effective drought monitoring and management, particularly targeting severe droughts.","PeriodicalId":15665,"journal":{"name":"Journal of Environmental Engineering and Science","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Engineering and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1680/jenes.23.00070","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

Droughts have become more severe and prolonged in recent years, causing significant social and environmental impacts. Analysing drought conditions with various climatic and socio-economic factors is critical for effective drought monitoring. This study investigated the correlation between drought severity and climatic and socio-economic changes in a study area – San Diego County, CA, USA. The drought severity was quantified using three drought indices: standardised precipitation index, standardised precipitation evapotranspiration index and standardised streamflow index. These indices were also used to describe the variation of the drought severity in the study area. The study employed Spearman’s correlation coefficient analysis to evaluate the correlations between the drought indices and climatic and socio-economic factors. The results showed that the drought indices indicated similar variations of the droughts in the study area. However, the severity, duration and frequency of the droughts varied with the timescales in the drought index analysis. Additionally, this study found that the drought conditions based on the three indices had strong negative correlations with precipitation, soil moisture, agricultural area and forest area, which were more pronounced as the timescale increased. The findings will provide insights into effective drought monitoring and management, particularly targeting severe droughts.
评估SPI、SPEI和SSI与干旱监测气候和社会经济因素的相关性
近年来,干旱变得更加严重和持久,造成了重大的社会和环境影响。分析具有各种气候和社会经济因素的干旱状况对于有效监测干旱至关重要。本研究调查了美国加州圣地亚哥县干旱严重程度与气候和社会经济变化之间的相关性。采用标准化降水指数、标准化降水蒸散指数和标准化河流流量指数3个干旱指数对干旱程度进行了量化。这些指标也被用来描述研究区干旱严重程度的变化。采用Spearman相关系数分析法,评价了干旱指数与气候和社会经济因素的相关性。结果表明,各干旱指数在研究区干旱变化特征相似。但在干旱指数分析中,干旱的严重程度、持续时间和频率随时间尺度而变化。此外,研究发现,基于3个指标的干旱状况与降水、土壤湿度、农业面积和森林面积呈较强的负相关,且随着时间尺度的增加,这种负相关更为明显。这些发现将为有效的干旱监测和管理提供见解,特别是针对严重干旱。
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
1.60
自引率
0.00%
发文量
20
审稿时长
12 months
期刊介绍: Journal of Environmental Engineering and Science is an international, peer-reviewed publication providing a forum for the dissemination of environmental research, encouraging interdisciplinary research collaboration to address environmental problems. It addresses all aspects of environmental engineering and applied environmental science, with the exception of noise, radiation and light.
×
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