2020
DOI: 10.3390/w12061715
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Spatial and Temporal Variations of Drought in Inner Mongolia, China

Abstract: Drought has become an important natural disaster, affecting the development of Inner Mongolia, as an important animal husbandry region in China. In this study, the characteristics and trends of the Inner Mongolia drought are thoroughly analysed by calculating the standardised precipitation evapotranspiration index (SPEI) at different time scales, based on monthly precipitation and temperature data from 40 national meteorological stations in Inner Mongolia from 1958 to 2019. Subsequently, the area drought inten… Show more

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Cited by 37 publications
(31 citation statements)
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References 36 publications
(44 reference statements)
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“…When the standard statistical variable is Z c > 0, this indicates that the time series has a rising trend. When it is Z c < 0, this indicates that the time series has a decreasing trend [21].…”
Section: Mk Testmentioning
confidence: 99%
See 2 more Smart Citations
“…When the standard statistical variable is Z c > 0, this indicates that the time series has a rising trend. When it is Z c < 0, this indicates that the time series has a decreasing trend [21].…”
Section: Mk Testmentioning
confidence: 99%
“…The Mann-Kendall (MK) trend test is a non-parametric method [21], which has a wider test range, and the required data does not need to follow a specific distribution. It is commonly used to examine the variation trend of a data series with time [39].…”
Section: Mk Testmentioning
confidence: 99%
See 1 more Smart Citation
“…Figure 3 demonstrates the ranges of mild and more serious droughts in different seasons in the Inner Mongolia Autonomous Region from 2000 to 2019 [23]. In the last 20 years, the average annual range of droughts in Subregion I fluctuated in the range of 3.33%~95.00% [24]; the range of agricultural droughts is ≥50%.…”
Section: Spatial-temporal Distribution Of Agricultural Droughtsmentioning
confidence: 99%
“…Generally, the SPI and SPEI time frame can be defined from 1 up to 24 months. Depending on the drought monitoring time frame, the most used time scales are the monthly, the quarterly (3-months) and the annual [20,21]. Multiple challenges have been examined through the literature regarding the multi-time-scale approach.…”
Section: Introductionmentioning
confidence: 99%