Time series analysis for droughts characteristics response to propagation

Muhammad Abrar Faiz, Yongqiang Zhang, Xiaoqiang Tian, Xuanze Zhang, Ning Ma, Santosh Aryal, Farah Naz

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Understanding and exploring hydrological (H) or soil moisture (SM) drought due to meteorological (M) drought under changing climate is crucial for drought early warning. Previously, different methods were used to calculate drought propagation from one state (M to another [H or SM]). However, each method has its pros and cons and thus cannot describe appropriate propagation attributes. In this study, a time series analysis is carried out to explore the propagation process in the Yellow River Basin (YRB) and Hai River Basin (HRB) of China. Standardized Streamflow Index (SSI), Standardized SM Index (SSMI), and Standardized Precipitation Index (SPI) 1-month time series were calculated using streamflow, satellite-based SM, and precipitation from 1979 to 2016. The time series framework identifies the average drought propagation as 3.4–8.3 months (M–H) and 2.3–5 months (M–SM) in YRB, while 2.8–7.7 months (M–H) and 2.3–8.5 months (M–SM) in HRB. Cross-wavelet analysis indicated that periodic characteristics of M drought are responsible for these droughts. Overall, the findings of this study may help to minimize the drought hazards posed by M droughts.

Original languageEnglish
Pages (from-to)1561-1575
Number of pages15
JournalInternational Journal of Climatology
Volume43
Issue number3
DOIs
Publication statusPublished - 15 Mar 2023
Externally publishedYes

Keywords

  • Hai River
  • hydrological drought
  • meteorological drought
  • precipitation
  • soil moisture
  • Yellow River

Fingerprint

Dive into the research topics of 'Time series analysis for droughts characteristics response to propagation'. Together they form a unique fingerprint.

Cite this