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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Veröffentlicht in: | Water (Basel) 2019-05, Vol.11 (5), p.908 |
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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. |
doi_str_mv | 10.3390/w11050908 |
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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.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w11050908</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural ecosystems ; Agricultural production ; Agricultural resources ; Agriculture ; Climate ; Climate change ; Drought ; Evapotranspiration ; Mountains ; Orthogonal functions ; Precipitation ; Prewhitening ; Regional planning ; Regions ; Resource management ; River basins ; Rivers ; Surface water ; Trends ; Water management ; Water resources ; Water resources management ; Water shortages</subject><ispartof>Water (Basel), 2019-05, Vol.11 (5), p.908</ispartof><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-3dd2346cb416dc507723819c9decfbde2e174e332aa3361c10b609eec5f40bb93</citedby><cites>FETCH-LOGICAL-c358t-3dd2346cb416dc507723819c9decfbde2e174e332aa3361c10b609eec5f40bb93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Ye, Lei</creatorcontrib><creatorcontrib>Shi, Ke</creatorcontrib><creatorcontrib>Zhang, Hairong</creatorcontrib><creatorcontrib>Xin, Zhuohang</creatorcontrib><creatorcontrib>Hu, Jing</creatorcontrib><creatorcontrib>Zhang, Chi</creatorcontrib><title>Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China</title><title>Water (Basel)</title><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.</description><subject>Agricultural ecosystems</subject><subject>Agricultural production</subject><subject>Agricultural resources</subject><subject>Agriculture</subject><subject>Climate</subject><subject>Climate change</subject><subject>Drought</subject><subject>Evapotranspiration</subject><subject>Mountains</subject><subject>Orthogonal functions</subject><subject>Precipitation</subject><subject>Prewhitening</subject><subject>Regional planning</subject><subject>Regions</subject><subject>Resource management</subject><subject>River basins</subject><subject>Rivers</subject><subject>Surface water</subject><subject>Trends</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Water shortages</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkM9LwzAcxYMoOOYO_gcBTx6q3zRJ2xzHnDqYP2DzXNLkW9vRNTXJlP33Tibiu7x3-PB4PEIuGdxwruD2izGQoKA4IaMUcp4IIdjpv3xOJiFs4CChikLCiDytBh1bl6xxOzivOzrtdbcPbaCupnfe7d6bSBe9bY2OaGm1p6vX-YK6T_T02fnYoA4RfU9nTdvrC3JW6y7g5NfH5O1-vp49JsuXh8VsukwMl0VMuLUpF5mpBMuskZDnKS-YMsqiqSuLKbJcIOep1pxnzDCoMlCIRtYCqkrxMbk69g7efewwxHLjdv6wPJSplCBkrlRxoK6PlPEuBI91Ofh2q_2-ZFD-HFb-Hca_AR__XBQ</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Ye, Lei</creator><creator>Shi, Ke</creator><creator>Zhang, Hairong</creator><creator>Xin, Zhuohang</creator><creator>Hu, Jing</creator><creator>Zhang, Chi</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20190501</creationdate><title>Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China</title><author>Ye, Lei ; Shi, Ke ; Zhang, Hairong ; Xin, Zhuohang ; Hu, Jing ; Zhang, Chi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-3dd2346cb416dc507723819c9decfbde2e174e332aa3361c10b609eec5f40bb93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural ecosystems</topic><topic>Agricultural production</topic><topic>Agricultural resources</topic><topic>Agriculture</topic><topic>Climate</topic><topic>Climate change</topic><topic>Drought</topic><topic>Evapotranspiration</topic><topic>Mountains</topic><topic>Orthogonal functions</topic><topic>Precipitation</topic><topic>Prewhitening</topic><topic>Regional planning</topic><topic>Regions</topic><topic>Resource management</topic><topic>River basins</topic><topic>Rivers</topic><topic>Surface water</topic><topic>Trends</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Water shortages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Lei</creatorcontrib><creatorcontrib>Shi, Ke</creatorcontrib><creatorcontrib>Zhang, Hairong</creatorcontrib><creatorcontrib>Xin, Zhuohang</creatorcontrib><creatorcontrib>Hu, Jing</creatorcontrib><creatorcontrib>Zhang, Chi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Lei</au><au>Shi, Ke</au><au>Zhang, Hairong</au><au>Xin, Zhuohang</au><au>Hu, Jing</au><au>Zhang, Chi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China</atitle><jtitle>Water (Basel)</jtitle><date>2019-05-01</date><risdate>2019</risdate><volume>11</volume><issue>5</issue><spage>908</spage><pages>908-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/w11050908</doi><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural ecosystems Agricultural production Agricultural resources Agriculture Climate Climate change Drought Evapotranspiration Mountains Orthogonal functions Precipitation Prewhitening Regional planning Regions Resource management River basins Rivers Surface water Trends Water management Water resources Water resources management Water shortages |
title | Spatio-Temporal Analysis of Drought Indicated by SPEI over Northeastern China |
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