2015
DOI: 10.1155/2015/950262
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Regionalization and Spatiotemporal Variation of Drought in China Based on Standardized Precipitation Evapotranspiration Index (1961–2013)

Abstract: China is considered to be one of the most drought prone countries. This study is dedicated to analyzing the regionalization and spatiotemporal variations of drought based on the Standardized Precipitation Evapotranspiration Index, which covers the period 1961–2013 across 810 stations in China. Using Spatial “K”luster Analysis by Tree Edge Removal method, China was divided into eight regions: southwest (SW), northeast (NE), north (N), southeast (SE), Yangtze River (YR), northwest (NW), central China (C), and Ti… Show more

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Cited by 70 publications
(49 citation statements)
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References 36 publications
(39 reference statements)
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“…The arithmetical mean of drought duration, severity, intensity, and peak is used to compare different zones. Several studies have used the run theory for the identification and characterization of droughts [18,19,21,23,41].…”
Section: Drought Characterizationmentioning
confidence: 99%
See 1 more Smart Citation
“…The arithmetical mean of drought duration, severity, intensity, and peak is used to compare different zones. Several studies have used the run theory for the identification and characterization of droughts [18,19,21,23,41].…”
Section: Drought Characterizationmentioning
confidence: 99%
“…The possible SPEI values can be divided into the categories shown in Figure 5. This study makes use of the approach employed by Liu et al [21] where the truncation level is −0.5, below which drought is said to occur. SPEI values below −1.5 are considered as severe droughts.…”
Section: Drought Characterizationmentioning
confidence: 99%
“…Run theory can be used to define drought severity, duration, and intensity. This is the most frequently used method to identify drought events which occur if the SPEI value is less than the chosen truncation level [37]. In this paper, this level is set at zero to obtain longer time series which will then be analysed based on the Copula function.…”
Section: Methodsmentioning
confidence: 99%
“…The changeable climate in Jiangxi is characterized by frequent droughts [48] and increasing extreme precipitation events since the 1960s [49]. Especially in 1964, pests on C. camphora were first detected in Jiangxi, and extreme weather phenomena represented by drought and heavy rain occurred sequentially before the pest outbreak [50]. Similarly, there was pest detection in urban areas in Montes Claros, Brazil, with the tropical savanna climate [51].…”
Section: Accelerated Urban Pest Outbreaks In China Since the 1990smentioning
confidence: 99%