4.7 Article

Meteorological and hydrological drought hazard, frequency and propagation analysis: A case study in southeast Australia

Journal

JOURNAL OF HYDROLOGY-REGIONAL STUDIES
Volume 44, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ejrh.2022.101229

Keywords

Standardized Precipitation Index (SPI); Effective Drought Index (EDI); Standardized Streamflow Index (SSFI); Drought hazard; Drought frequency; Drought propagation

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The study reveals that the southern and coastal regions of Southeast Australia are most prone to drought, with a significant decrease in annual streamflow and an increasing trend in drought occurrences. EDI performs better than SPI at short timescales, and drought propagation time can be estimated using the 'theory of run', although it may not be directly applicable to other regions.
Study region: Southeast Australia.Study focus: We investigated meteorological and hydrological drought characteristics using Standardized Precipitation Index (SPI), Standardized Streamflow Index (SSFI) and Effective Drought Index (EDI). Drought Hazard Index (DHI) was derived based on the probability of drought occurrence and Thiessen polygons using SPI/EDI, whereas Drought Frequency Index (DFI) was derived based on number of drought events, and data length using SPI, EDI, and SSFI. The modified Mann-Kendall test was applied to detect trends in streamflow data and hydrological droughts. Furthermore, correlation between meteorological and hydrological drought indices for different timesteps was assessed through Pearson's and Spearman's rank correlation analysis. Finally, the drought propagation time (DPT) from meteorological to hydrological drought was estimated by 'theory of run.'New hydrological insights for the region: Our major findings include: (i) The spatial coverage of DHI and DFI, based on SPI/EDI, illustrate that mainly south and coastal regions of the study area are the most 'drought-prone' (ii) A considerable proportion of streamflow stations shows a significant trend of decrease in annual streamflow, with the most dominant year of abrupt change is 1996; (iii) Hydrological droughts are increasing in the study area; (iv) Performance of EDI with SSFI is found to be better than SPI at 3-month timestep; and (v) DPT can be found using 'theory of run' however, defined DPT cannot be directly applied to other regions.

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