Assessment of spatial–temporal variation of precipitation and meteorological drought in Shanxi province, China

Wei, Ting; Zhao, Xuehua

doi:10.1007/s11069-024-06430-6

Cited by 3 publications

(1 citation statement)

References 45 publications

(50 reference statements)

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“…Drought frequency refers to the frequency of drought occurs in a certain period of time (Wei and Zhao 2024). It is useful for selecting drought relief measures and drought risk management.…”

Section: Drought Frequencymentioning

confidence: 99%

Mixed copula-based bivariate drought risk analysis combined with a composite index in the Fenhe River Basin, China

Wei,

Zhao,

Chen

2024

Preprint

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In the context of climate change, drought events were likely to be frequent and severe in Fenhe river basin (FRB). This study developed a multivariate composite drought index (CDI) combining standardized precipitation index (SPI), standardized runoff index (SRI), and agricultural standardized precipitation index (aSPI) based on entropy weight method for comprehensive characterizing drought in the FRB. A mixed copula was then developed for comprehensively modeling the dependent structures of drought variables (duration, severity, peak), through coupling three single copulas (Gumbel, Clayton and Frank copulas). The drought variation was examined by modified Mann-Kendall test (MMK) method and the historical droughts of the basin were examined in three periods: the first period (1951–1974), the second period (1975–1998), and the third period (1999–2022). The bivariate return periods and bivariate risk of drought variables were finally analyzed based on mixed copula. The results indicate that (1) the constructed CDI is consistent with SPI, SRI and aSPI series, and it is sensitive and effective to capture historical drought events. (2) the CDI, SPI, SRI and aSPI present significant decreasing trend indicating the increasingly serious drought condition in the basin. (3) drought variables are higher in the third period than in other periods and the basin experienced an increasingly serious dry condition. (4) the mixed copula provides more reliable return periods and drought risk results.

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Section: Drought Frequencymentioning

confidence: 99%

Mixed copula-based bivariate drought risk analysis combined with a composite index in the Fenhe River Basin, China

Wei,

Zhao,

Chen

2024

Preprint

Self Cite

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Which droughts are becoming more frequent? A copula entropy analysis on the return period of droughts in Europe

Alencar,

Paton

2024

Nat Hazards

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Climate change and global warming have increased the frequency of extreme events, particularly over the past decades. Changes in drought frequency are not yet understood, especially regarding which drought features are becoming more frequent (e.g., are longer or high-magnitude droughts becoming more frequent, or both?). In this study, we present a novel methodology to accurately and consistently estimate changes in return periods of different types of droughts. For this purpose, we implemented copula-entropy theory to assess drought frequencies and their changes. As an example of the application of the proposed method, we used data from the European Climate Assessment and Dataset (ECA&D), from which we selected 26 stations in Central Europe with over 100 years of data and low incidence of missing days ($$\le$$ ≤ 0.3%). The results of the new analysis indicate that there was a high variability in the frequency change patterns across Central Europe over the last century; however, most regions have experienced an increase in the frequency of medium-to-high intensity droughts. The use of the copula-entropy theory to assess drought frequency is a reliable method that allows systematic monitoring and easy updating of current knowledge, and is computationally efficient and statistically robust.

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Electricity supply research for ensuring food security in North China during droughts and floods: copula modeling for the water-energy-food nexus

Chen,

Yang,

Gong

et al. 2024

Nat Hazards

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Assessment of spatial–temporal variation of precipitation and meteorological drought in Shanxi province, China

Cited by 3 publications

References 45 publications

Mixed copula-based bivariate drought risk analysis combined with a composite index in the Fenhe River Basin, China

Mixed copula-based bivariate drought risk analysis combined with a composite index in the Fenhe River Basin, China

Which droughts are becoming more frequent? A copula entropy analysis on the return period of droughts in Europe

Electricity supply research for ensuring food security in North China during droughts and floods: copula modeling for the water-energy-food nexus

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