A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis

Zhou, Zhaoqiang1,2; Ding, Yibo4; Zhao, Yiyang5; Chen, Peng6; Fu, Qiang1; Xue, Ping1; Liu, Suning2; Huang, Shengzhi7; Shi, Haiyun2,3

2023-10-01

10.1088/1748-9326/acfe1e

ENVIRONMENTAL RESEARCH LETTERS   影响因子和分区

1748-9326

Correlation analysis is the common method to evaluate the relationship between two variables; however, it may sometimes cause spurious correlations. Specifically, in the field of hydrometeorology, with the impacts of climate change and human activities, correlation analysis is difficult to identify the true relationship between variables, and thus, causality analysis should be adopted instead. This study analyzed the causal relationship between meteorological drought and hydrological drought in different climatic regions of China by using convergent cross mapping (CCM). We improved the identification of CCM convergence by using the coefficient of variation and applied it in the field of large-scale hydrometeorology. The results of correlation analysis were compared, and the applicability of causality analysis was explored. The results revealed that: In Southeast China, the correlation and causality between meteorological drought and hydrological drought were both large. In Northeast China and central Qinghai-Tibet Plateau, the correlation between meteorological drought and hydrological drought was small, but the causality was large. In view of the spurious correlation, introducing causality analysis can better explain the relationship between meteorological drought and hydrological drought, especially in areas with snowmelt runoff. Overall, CCM can provide valuable causal information from common time series in the field of large-scale hydrometeorology and has a wide range of application values. However, causality analysis cannot explain the positive or negative relationship between variables. Therefore, when analyzing the relationship between variables, the advantages of the two methods should be given full play.

meteorological drought hydrological drought convergent cross mapping causality

SCI ; EI

英语

通讯

This study was supported by the Open Research Fund of Key Laboratory of Water Security Guarantee in Guangdong-Hong Kong-Macao Greater Bay Area of Ministry of Water Resources (WSGBA-KJ2023011), Shenzhen Key Laboratory of Precision Measurement and Early Warn[WSGBA-KJ2023011] ; Open Research Fund of Key Laboratory of Water Security Guarantee in Guangdong-Hong Kong-Macao Greater Bay Area of Ministry of Water Resources[ZDSYS20220606100604008]

Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences

Environmental Sciences ; Meteorology & Atmospheric Sciences

WOS:001079310900001

IOP Publishing Ltd

20234414988308

Climate change ; Correlation methods ; Drought

Surveying:405.3 ; Atmospheric Properties:443.1 ; Precipitation:443.3 ; Water Resources:444 ; Mathematical Statistics:922.2

Web of Science

1.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin, Peoples R China
2.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen Key Lab Precis Measurement & Early Warnin, Shenzhen, Peoples R China
3.Macao Greater Bay Area Minist Water Resources, Hong Kong, Peoples R China
4.Yellow River Engn Consulting Co Ltd, Zhengzhou, Peoples R China
5.Zhejiang Univ, ZJU UIUC Inst, Int Campus, Haining, Peoples R China
6.Hohai Univ, Coll Agr Sci & Engn, Nanjing 210098, Peoples R China
7.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian, Peoples R China

Zhou, Zhaoqiang,Ding, Yibo,Zhao, Yiyang,et al. A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis[J]. ENVIRONMENTAL RESEARCH LETTERS,2023,18(10).

Zhou, Zhaoqiang.,Ding, Yibo.,Zhao, Yiyang.,Chen, Peng.,Fu, Qiang.,...&Shi, Haiyun.(2023).A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis.ENVIRONMENTAL RESEARCH LETTERS,18(10).

Zhou, Zhaoqiang,et al."A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis".ENVIRONMENTAL RESEARCH LETTERS 18.10(2023).