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Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China

1
School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China
2
China Yangtze Power Company Limited, Yichang 443133, China
3
State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(5), 908; https://doi.org/10.3390/w11050908
Received: 13 March 2019 / Revised: 25 April 2019 / Accepted: 26 April 2019 / Published: 30 April 2019
(This article belongs to the Section Hydrology)
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Abstract

Drought is a natural extreme climate event which occurs in most parts of the world. Northeastern China is one of the major agricultural production areas in China and also a typical vulnerable climate zone. To understand the spatio-temporal characteristics of drought over northeastern China, we first assessed the trends of precipitation and temperature. Drought events were then characterized by Standardized Precipitation Evapotranspiration Index over various temporal scales. The Trend Free Prewhitening Mann–Kendall test and distinct empirical orthogonal function, were used to investigate the trends and spatio-temporal patterns of droughts. The results indicate precipitation increasing trends are mostly detected in Heilongjiang and Jinling provinces, however, the majority of the trends are insignificant. Temperature increasing trends are detected over the entire northeastern China and most of them are significant. Decreasing drought trends are observed in Heilongjiang province and some bordering area in Jilin province, whereas increasing trends are noticed in Liaoning province and some bordering area in Jilin province. Two main sub-regions of drought variability—the Liaohe River Plain and the Second Songhua River basin (LS region), and the Songnen Plain and the Lesser Hinggan Mountains (SL region) are identified, and the detected droughts for the two sub-regions correspond well with recorded drought loss. The results will be beneficial for regional water resource management and planning, agriculture production, and ecosystem protection in northeastern China. View Full-Text
Keywords: climate change; DEOF; TFPW-MK; spatial patterns; SPEI; temporal variation; trends climate change; DEOF; TFPW-MK; spatial patterns; SPEI; temporal variation; trends
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Ye, L.; Shi, K.; Zhang, H.; Xin, Z.; Hu, J.; Zhang, C. Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China. Water 2019, 11, 908.

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