{"title":"中国松花江流域气象干旱的时空特征及其与环流指数的关系","authors":"Jiale Xu, Xiumei Li, Jianwen Xue, Xiangzhou Dou, Wenqing Wu, Gaopeng Wu, Qiang Zhao","doi":"10.2166/wcc.2024.016","DOIUrl":null,"url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00016gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00016gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Global warming has increased the risk of meteorological drought and associated hazards. Based on daily data from 35 meteorological stations in the Songhua River Basin (SRB) collected from 1960 to 2019, this study applied the standardised precipitation evapotranspiration index (SPEI) and used the ensemble empirical mode decomposition (EEMD) method and Pettitt's mutation test to perform a partitioned segmentation analysis of the multi-temporal and spatial variations in the meteorological droughts affecting the basin in terms of frequency and intensity, and discussed the relationship between the atmospheric circulation index and meteorological drought. The results showed that the overall meteorological drought trends shifted from a drought to a humid trend from 1960 to 2019. The drought in the basin had periods of 3, 6.7, 15, and 30 years, with mutation points in 1968, 1980, 1997, and 2012. The drought trend in Regions I and IV of the entire basin was enhanced, while that in Regions II, III, and V was weakened. Drought in the basin was strongly influenced by the Arctic Oscillation (AO) and Southern Oscillation Index (SOI).</p>","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial-temporal characteristics of meteorological drought and its relationship with circulation indices over Songhua River Basin, China\",\"authors\":\"Jiale Xu, Xiumei Li, Jianwen Xue, Xiangzhou Dou, Wenqing Wu, Gaopeng Wu, Qiang Zhao\",\"doi\":\"10.2166/wcc.2024.016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div data- reveal-group-><div><img alt=\\\"graphic\\\" data-src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\" path-from-xml=\\\"jwc-d-24-00016gf01.tif\\\" src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\\\"data-reveal\\\"><div><img alt=\\\"graphic\\\" data-src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\" path-from-xml=\\\"jwc-d-24-00016gf01.tif\\\" src=\\\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\\\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Global warming has increased the risk of meteorological drought and associated hazards. Based on daily data from 35 meteorological stations in the Songhua River Basin (SRB) collected from 1960 to 2019, this study applied the standardised precipitation evapotranspiration index (SPEI) and used the ensemble empirical mode decomposition (EEMD) method and Pettitt's mutation test to perform a partitioned segmentation analysis of the multi-temporal and spatial variations in the meteorological droughts affecting the basin in terms of frequency and intensity, and discussed the relationship between the atmospheric circulation index and meteorological drought. The results showed that the overall meteorological drought trends shifted from a drought to a humid trend from 1960 to 2019. The drought in the basin had periods of 3, 6.7, 15, and 30 years, with mutation points in 1968, 1980, 1997, and 2012. The drought trend in Regions I and IV of the entire basin was enhanced, while that in Regions II, III, and V was weakened. Drought in the basin was strongly influenced by the Arctic Oscillation (AO) and Southern Oscillation Index (SOI).</p>\",\"PeriodicalId\":510893,\"journal\":{\"name\":\"Journal of Water & Climate Change\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Water & Climate Change\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2166/wcc.2024.016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water & Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2166/wcc.2024.016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
View largeDownload slideView largeDownload slide Close modal全球变暖增加了气象干旱及相关灾害的风险。本研究基于1960-2019年采集的松花江流域（SRB）35个气象站日数据，应用标准化降水蒸散指数（SPEI），采用集合经验模式分解（EEMD）方法和Pettitt突变检验，对影响流域的气象干旱在频次和强度上的多时空变化进行了分区分段分析，并探讨了大气环流指数与气象干旱的关系。结果表明，从1960年到2019年，气象干旱总体趋势由旱转湿。流域干旱期分别为3年、6.7年、15年和30年，突变点分别为1968年、1980年、1997年和2012年。全流域Ⅰ区和Ⅳ区的干旱趋势增强，而Ⅱ区、Ⅲ区和Ⅴ区的干旱趋势减弱。该流域的干旱受北极涛动（AO）和南方涛动指数（SOI）的强烈影响。
Spatial-temporal characteristics of meteorological drought and its relationship with circulation indices over Songhua River Basin, China
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Global warming has increased the risk of meteorological drought and associated hazards. Based on daily data from 35 meteorological stations in the Songhua River Basin (SRB) collected from 1960 to 2019, this study applied the standardised precipitation evapotranspiration index (SPEI) and used the ensemble empirical mode decomposition (EEMD) method and Pettitt's mutation test to perform a partitioned segmentation analysis of the multi-temporal and spatial variations in the meteorological droughts affecting the basin in terms of frequency and intensity, and discussed the relationship between the atmospheric circulation index and meteorological drought. The results showed that the overall meteorological drought trends shifted from a drought to a humid trend from 1960 to 2019. The drought in the basin had periods of 3, 6.7, 15, and 30 years, with mutation points in 1968, 1980, 1997, and 2012. The drought trend in Regions I and IV of the entire basin was enhanced, while that in Regions II, III, and V was weakened. Drought in the basin was strongly influenced by the Arctic Oscillation (AO) and Southern Oscillation Index (SOI).
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