Spatiotemporal patterns and trends of meteorological drought in the Kaidu-Kongque River Basin

The Kaidu-Kongque River Basin (KKR), a typical inland river basin in Central Asia, is characterized by a "mountain-oasis-desert" composite ecosystem. Utilizing long-term meteorological data from 1960 to 2023, standardized precipitation indices (SPI) and standardized precipitation-evapotranspiration indices (SPEI) were calculated across multiple timescales (1, 3, 6, 9, and 12 months). Drought breakpoints were identified using the Pettitt test, and the Modified Innovative Trend Analysis (MITA) method was employed to uncover the spatiotemporal patterns of meteorological drought (as indicated by SPI) and hydro-temperatural coupled drought (as indicated by SPEI) within the KKR Basin. Additionally, the diagnostic capability of the MITA method in capturing nonlinear drought trends and breakpoints was validated, addressing the limitations of traditional methods. The significant spatiotemporal divergence of drought is evident: spatially, a "west-east differentiation" pattern emerges—drought intensifies in the western plains (Korla, Yuli) as indicated by rising SPI/SPEI values, whereas the eastern high-altitude area (Bayinbuluk) shows signs of humidification but an increase in the frequency of extreme drought events. Temporally, abrupt changes in SPI (1980–1987) occur earlier than those in SPEI (1996–1999), with 1999 marking a critical transition period; high-altitude areas display scale specificity, with non-significant SPI-3 mutations (p = 0.62) but concentrated mutations at other scales in 1999. Enhanced drought persistence is indicated by SPEI, which shows stronger drought persistence than SPI. The 12-month SPEI (SPEI-12) has a longer duration than the corresponding SPI, and since 1990, summer drought durations have been significantly prolonged, increasing the risks of long-term impacts. The MITA method provides a reliable drought diagnosis: it accurately identifies turning points in drought trends, quantifies the proportions of drought classes, and reveals the propagation from meteorological to hydrological drought, offering a dependable technical tool for drought monitoring in arid regions with complex terrain. • West - East drought divergence intensifies: Western stations see severe SPI/SPEI drying; eastern high - altitude site has 12 % extreme drought surge. • Drought shifts show decadal lag: SPI mutation (1980s) precedes SPEI (1990s), converging in 1999. • MITA validates amplification: SPEI-12 droughts last 2.3 months longer; 7.2 % extreme droughts and nonlinear intensification post - 1990.

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Journal
Journal of Hydrology Regional Studies
Published
2025-11-25
DOI
https://doi.org/10.1016/j.ejrh.2025.102980
Primary Topic
Hydrology and Drought Analysis
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article
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article

Spatiotemporal patterns and trends of meteorological drought in the Kaidu-Kongque River Basin

Yilinuer Alifujiang, Zhihui Bai, Abdugheni Abliz, Ping Yang et al.
Journal of Hydrology Regional Studies
Hydrology and Drought Analysis
article

Spatiotemporal patterns and trends of meteorological drought in the Kaidu-Kongque River Basin

Yilinuer Alifujiang, Zhihui Bai, Abdugheni Abliz, Ping Yang, Ying Jiang, Ming Li, Yaping Wang, Jianpeng Feng, Ayixiemuguli Zibibula
article en

Abstract

The Kaidu-Kongque River Basin (KKR), a typical inland river basin in Central Asia, is characterized by a "mountain-oasis-desert" composite ecosystem. Utilizing long-term meteorological data from 1960 to 2023, standardized precipitation indices (SPI) and standardized precipitation-evapotranspiration indices (SPEI) were calculated across multiple timescales (1, 3, 6, 9, and 12 months). Drought breakpoints were identified using the Pettitt test, and the Modified Innovative Trend Analysis (MITA) method was employed to uncover the spatiotemporal patterns of meteorological drought (as indicated by SPI) and hydro-temperatural coupled drought (as indicated by SPEI) within the KKR Basin. Additionally, the diagnostic capability of the MITA method in capturing nonlinear drought trends and breakpoints was validated, addressing the limitations of traditional methods. The significant spatiotemporal divergence of drought is evident: spatially, a "west-east differentiation" pattern emerges—drought intensifies in the western plains (Korla, Yuli) as indicated by rising SPI/SPEI values, whereas the eastern high-altitude area (Bayinbuluk) shows signs of humidification but an increase in the frequency of extreme drought events. Temporally, abrupt changes in SPI (1980–1987) occur earlier than those in SPEI (1996–1999), with 1999 marking a critical transition period; high-altitude areas display scale specificity, with non-significant SPI-3 mutations (p = 0.62) but concentrated mutations at other scales in 1999. Enhanced drought persistence is indicated by SPEI, which shows stronger drought persistence than SPI. The 12-month SPEI (SPEI-12) has a longer duration than the corresponding SPI, and since 1990, summer drought durations have been significantly prolonged, increasing the risks of long-term impacts. The MITA method provides a reliable drought diagnosis: it accurately identifies turning points in drought trends, quantifies the proportions of drought classes, and reveals the propagation from meteorological to hydrological drought, offering a dependable technical tool for drought monitoring in arid regions with complex terrain. • West - East drought divergence intensifies: Western stations see severe SPI/SPEI drying; eastern high - altitude site has 12 % extreme drought surge. • Drought shifts show decadal lag: SPI mutation (1980s) precedes SPEI (1990s), converging in 1999. • MITA validates amplification: SPEI-12 droughts last 2.3 months longer; 7.2 % extreme droughts and nonlinear intensification post - 1990.

Journal of Hydrology Regional StudiesVol. 62
Guizhou Provincial Meteorological Bureau (CN), Xinjiang University (CN)
Openalex Percentile: Top 66%
Hydrology and Drought Analysis
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