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

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...

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Main Authors: Lei Ye, Ke Shi, Hairong Zhang, Zhuohang Xin, Jing Hu, Chi Zhang
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/5/908
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spelling doaj-30c7bd58823b4486989d0623e3991c582020-11-25T00:47:02ZengMDPI AGWater2073-44412019-04-0111590810.3390/w11050908w11050908Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern ChinaLei Ye0Ke Shi1Hairong Zhang2Zhuohang Xin3Jing Hu4Chi Zhang5School of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, ChinaChina Yangtze Power Company Limited, Yichang 443133, ChinaSchool of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Hydraulic Engineering, Dalian University of Technology, Dalian 116024, ChinaDrought 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.https://www.mdpi.com/2073-4441/11/5/908climate changeDEOFTFPW-MKspatial patternsSPEItemporal variationtrends
collection DOAJ
language English
format Article
sources DOAJ
author Lei Ye
Ke Shi
Hairong Zhang
Zhuohang Xin
Jing Hu
Chi Zhang
spellingShingle Lei Ye
Ke Shi
Hairong Zhang
Zhuohang Xin
Jing Hu
Chi Zhang
Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China
Water
climate change
DEOF
TFPW-MK
spatial patterns
SPEI
temporal variation
trends
author_facet Lei Ye
Ke Shi
Hairong Zhang
Zhuohang Xin
Jing Hu
Chi Zhang
author_sort Lei Ye
title Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China
title_short Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China
title_full Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China
title_fullStr Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China
title_full_unstemmed Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China
title_sort spatio-temporal analysis of drought indicated by spei over northeastern china
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2019-04-01
description 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.
topic climate change
DEOF
TFPW-MK
spatial patterns
SPEI
temporal variation
trends
url https://www.mdpi.com/2073-4441/11/5/908
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AT hairongzhang spatiotemporalanalysisofdroughtindicatedbyspeiovernortheasternchina
AT zhuohangxin spatiotemporalanalysisofdroughtindicatedbyspeiovernortheasternchina
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