Drought evolution, severity and trends in mainland China over 1961–2013

Yao, Ning; Li, Yi; Lei, Tianjie; Peng, Lingling

doi:10.1016/j.scitotenv.2017.10.327

Cited by 219 publications

(120 citation statements)

References 67 publications

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“…China is located in the eastern Asia and west coast of the Pacific Ocean, and is the third-largest country in the world. China has a "threeladder" landscape since the altitude above sea level generally descends from the southwest to the east (Yao et al, 2018). The first or highest ladder is the Qinghai-Tibet Plateau.…”

Section: Study Area and Data Collectionmentioning

confidence: 99%

“…The data quality and reliability were cross-examined using nonparametric tests including the Kendall autocorrelation test and Mann-Whitney homogeneity tests (Helsel and Hirsch, 1992). The results indicated that randomness and stationary of the weather data were fixed between the critical points at a 5% significance level (Ayantobo et al, 2017;Yao et al, 2018). Most of the sites are located in the central and eastern China.…”

Section: Study Area and Data Collectionmentioning

confidence: 99%

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Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016

et al. 2020

Intl Journal of Climatology

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A good understanding of spatiotemporal characteristics of historical droughts is important for managing and tackling drought hazards. This paper aims to investigate spatiotemporal variations of drought in mainland China over 1961–2016 based on the standardized precipitation evapotranspiration index (SPEI) at the 1‐ and 12‐month timescales. The trend significance and magnitude of 12‐month SPEI were analysed using the modified Mann–Kendall (MMK) method and Sen's slope values. The empirical orthogonal function (EOF) and ensemble empirical mode decomposition (EEMD) were applied to analyse the spatial patterns and periods in 1‐month SPEI series. The results showed that the temporal fluctuations of SPEI were weaker as the timescale increased. The droughts in 1960s were the severest than in other decades. The sites with SPEI < −5 (denoting the extreme droughts) mainly located in the northwestern and southwestern China. An overall wetter trend was detected in most regions of China, except the belt from northeastern to middle and southwestern China. The 1‐month SPEI had shorter than 1.20‐year of mean periods for the seven sub‐regions and China, while had 0.22–2.95 years of mean periods at different sites. Residuals (decomposed from 1‐month SPEI) showed increasing trends in most of the sub‐regions except sub‐region 3. In northern and northwestern China, longer periods of SPEI were detected. The highest values of EOF1 and EOF2 illustrated the eastern and northeastern China were drought‐sensitive areas. From the correlations between 1‐month SPEI and the atmospheric circulations, the AO was the main physical factor that influenced drought occurrence in mainland China. The identified spatiotemporal characteristics of SPEI could offer references for drought prevention and management in China.

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Section: Study Area and Data Collectionmentioning

confidence: 99%

Section: Study Area and Data Collectionmentioning

confidence: 99%

Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016

et al. 2020

Intl Journal of Climatology

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“…Drought is a complex and recurring natural disaster that occurs throughout the world and often has negative impacts on many sectors of society [1,2]. Droughts are increasing in frequency and severity, and their impact on human lives and the economy is accelerating due to growing levels of urbanization and an increasing number of extreme weather events [3][4][5]. The effective assessment of drought is an essential means towards achieving sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Capability of Remotely Sensed Drought Indices for Representing the Spatio–Temporal Variations of the Meteorological Droughts in the Yellow River Basin

Wang

Yang

et al. 2018

Remote Sensing

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Due to the advantages of wide coverage and continuity, remotely sensed data are widely used for large-scale drought monitoring to compensate for the deficiency and discontinuity of meteorological data. However, few studies have focused on the capability of various remotely sensed drought indices (RSDIs) to represent the spatio–temporal variations of meteorological droughts. In this study, five RSDIs, namely the Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Vegetation Health Index (VHI), Modified Temperature Vegetation Dryness Index (MTVDI), and Normalized Vegetation Supply Water Index (NVSWI), were calculated using monthly Normalized Difference Vegetation Index (NDVI) and land surface temperature (LST) from the Moderate Resolution Imaging Spectroradiometer (MODIS). The monthly NDVI and LST data were filtered by the Savitzky–Golay (S-G) filtering method. A meteorological station-based drought index represented by the Standardized Precipitation Evapotranspiration Index (SPEI) was compared with the RSDIs. Additionally, the dimensionless Skill Score (SS) method was adopted to identify the spatiotemporally optimal RSDIs for presenting meteorological droughts in the Yellow River basin (YRB) from 2000 to 2015. The results indicated that: (1) RSDIs revealed a decreasing drought trend in the overall YRB consistent with the SPEI except for in winter, and different variations of seasonal trends spatially; (2) the optimal RSDIs in spring, summer, autumn, and winter were VHI, TCI, MTVDI, and VCI, respectively, and the average correlation coefficient between the RSDIs and the SPEI was 0.577 (α = 0.05); and (3) different RSDIs have time lags of zero–three months compared with the meteorological drought index.

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“…In recent decades, various drought indices have been developed for drought survey and characterization. Among them, the standardized precipitation index (SPI) and the Palmer drought severity index (PDSI) are especially popular around the world (Yao et al 2017;Yang et al 2018), but they also have many deficiencies. For example, the calculation of the SPI only uses precipitation and does not consider the influence of temperature variation (Shen et al 2017); the spatial comparability of the PDSI is limited, and the results are heavily dependent on data calibration (Sheffield et al 2009;Yu et al 2014;Guo et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics of Drought in the Heihe River Basin Based on the Extreme-Point Symmetric Mode Decomposition Method

Feng

2019

Int J Disaster Risk Sci

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Assessment of spatiotemporal characteristics of drought under climate change is significant for drought mitigation. In this study, the standardized precipitation evapotranspiration index (SPEI) calculated at different timescales was adopted to describe the drought conditions in the Heihe River Basin (HRB) from 1961 to 2014. The period characteristics and spatiotemporal distribution of drought were analyzed by using the extreme-point symmetric mode decomposition (ESMD) and inverse distance weight interpolation methods. Four main results were obtained. (1) The SPEI series of the upper reaches of the HRB at different timescales showed an upward trend (not significant) during 1961-2014. In the middle and lower reaches, the SPEI series exhibited significant downward trends. (2) The annual SPEI series of the lower reaches was decomposed through the ESMD method and exhibited a fluctuating downward trend as a whole. The oscillation showed quasi-3.4-year and quasi-4.5-year periods in the interannual variation, while a quasi-13.5-year period occurred in the interdecadal variation. The interannual period plays a leading role in drought variation across the HRB. (3) The entire research period was divided into three subperiods by the Bernaola-Galvan segmentation algo

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Drought evolution, severity and trends in mainland China over 1961–2013

Cited by 219 publications

References 67 publications

Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016

Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016

Capability of Remotely Sensed Drought Indices for Representing the Spatio–Temporal Variations of the Meteorological Droughts in the Yellow River Basin

Spatiotemporal Characteristics of Drought in the Heihe River Basin Based on the Extreme-Point Symmetric Mode Decomposition Method

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