• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于 SPEI-PM、强度分析和赫斯特指数的 1980-2014 年蒙古高原时空干旱变化。

Spatiotemporal drought variability on the Mongolian Plateau from 1980-2014 based on the SPEI-PM, intensity analysis and Hurst exponent.

机构信息

School of Environment, Northeast Normal University, Changchun 130024, China; Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China; College of Geography, Inner Mongolia Normal University, Hohhot 010022, China.

School of Environment, Northeast Normal University, Changchun 130024, China; College of Geography, Inner Mongolia Normal University, Hohhot 010022, China; Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information Systems, Inner Mongolia Normal University, Hohhot 010022, China.

出版信息

Sci Total Environ. 2018 Feb 15;615:1557-1565. doi: 10.1016/j.scitotenv.2017.09.121. Epub 2017 Sep 18.

DOI:10.1016/j.scitotenv.2017.09.121
PMID:28923710
Abstract

Knowledge about variations of drought can provide a scientific basis for water resource planning and drought mitigation. In this study, the variations and patterns of drought identified by the Standardized Precipitation Evapotranspiration Index (SPEI) were investigated on the Mongolian Plateau for the period 1980-2014, based on intensity analysis, linear regression, the Mann-Kendall test, wavelet analysis, and Hurst exponent. The results show that: 1) the annual SPEI decreased at a rate of -0.0133/yr over the past 35years, and a major abrupt change occurred in 1999; 2) drought on the Mongolian Plateau intensified from 1980 to 2014, and the drought in Mongolia has been more serious than in Inner Mongolia since the beginning of the 21st century; 3) the rate of drought/wet changes in 1980s-1990s and 1990s-2000s were faster than in 2000s-2010s. In 1980s-1990s, the different drought levels were transformed into various wet levels. In 1990s-2000s, the wet levels were transformed into drought, and in 2000s-2010s, the losses of drought levels were larger than the gains in wet levels; 4) the Hurst exponent is a reliable way to predict drought tendency, with a predictive accuracy as high as 91.7%; 5) the mean H value of the SPEI time series during 1980-2014 was 0.533, indicating that the future drought trend is generally consistent with the current state. In the future, the proportion of area with increasingly severe drought (72.2%) will be larger than that with increasingly wetter conditions (27.8%) on the Mongolian Plateau.

摘要

关于干旱变化的知识可以为水资源规划和干旱缓解提供科学依据。本研究基于强度分析、线性回归、Mann-Kendall 检验、小波分析和赫斯特指数,利用标准化降水蒸散指数(SPEI)探讨了 1980-2014 年期间蒙古高原干旱的变化和特征。结果表明:1)过去 35 年,SPEI 呈每年减少 0.0133/yr 的趋势,1999 年发生了一次重大突变;2)1980 年至 2014 年,蒙古高原的干旱加剧,21 世纪初以来,蒙古国的干旱比内蒙古自治区更为严重;3)1980-1990 年代和 1990-2000 年代的干湿变化率快于 2000-2010 年代。在 1980-1990 年代,不同的干旱程度转化为各种湿润程度。在 1990-2000 年代,湿润程度转化为干旱,在 2000-2010 年代,干旱程度的损失大于湿润程度的增益;4)赫斯特指数是预测干旱趋势的可靠方法,预测准确率高达 91.7%;5)1980-2014 年 SPEI 时间序列的平均 H 值为 0.533,表明未来干旱趋势与当前状态大致一致。未来,蒙古高原上干旱程度日益严重(72.2%)的面积比例将大于湿润程度日益增加(27.8%)的面积比例。

相似文献

1
Spatiotemporal drought variability on the Mongolian Plateau from 1980-2014 based on the SPEI-PM, intensity analysis and Hurst exponent.基于 SPEI-PM、强度分析和赫斯特指数的 1980-2014 年蒙古高原时空干旱变化。
Sci Total Environ. 2018 Feb 15;615:1557-1565. doi: 10.1016/j.scitotenv.2017.09.121. Epub 2017 Sep 18.
2
Variations of drought and its trend in the Loess Plateau from 1986 to 2019.黄土高原 1986 年至 2019 年干旱变化及其趋势。
Ying Yong Sheng Tai Xue Bao. 2021 Feb;32(2):649-660. doi: 10.13287/j.1001-9332.202102.012.
3
Preseason drought controls on patterns of spring phenology in grasslands of the Mongolian Plateau.蒙古高原草原春季物候模式的季前干旱控制因素
Sci Total Environ. 2022 Sep 10;838(Pt 2):156018. doi: 10.1016/j.scitotenv.2022.156018. Epub 2022 May 16.
4
Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050.气候变化下黄土高原标准化降水蒸散指数(SPEI)的时空演变:2001 年至 2050 年。
Sci Total Environ. 2017 Oct 1;595:191-200. doi: 10.1016/j.scitotenv.2017.03.226. Epub 2017 Apr 4.
5
Application of temperature vegetation dryness index for drought monitoring in Mongolian Plateau.温度植被干旱指数在蒙古高原干旱监测中的应用
Ying Yong Sheng Tai Xue Bao. 2021 Jul;32(7):2534-2544. doi: 10.13287/j.1001-9332.202107.018.
6
Long-term spatiotemporal variation of drought patterns over the Greater Horn of Africa.大非洲之角地区干旱模式的长期时空变化。
Sci Total Environ. 2020 Feb 20;704:135299. doi: 10.1016/j.scitotenv.2019.135299. Epub 2019 Nov 24.
7
Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province, China.基于标准化降水指数(SPI)和标准化降水蒸散指数(SPEI)的中国四川省时空干旱分析
Sci Rep. 2021 Jan 14;11(1):1280. doi: 10.1038/s41598-020-80527-3.
8
Spatiotemporal drought analysis in Bangladesh using the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI).利用标准化降水指数 (SPI) 和标准化降水蒸散指数 (SPEI) 分析孟加拉国的时空干旱。
Sci Rep. 2022 Nov 30;12(1):20694. doi: 10.1038/s41598-022-24146-0.
9
Does drought in China show a significant decreasing trend from 1961 to 2009?中国的干旱从 1961 年到 2009 年是否呈显著下降趋势?
Sci Total Environ. 2017 Feb 1;579:314-324. doi: 10.1016/j.scitotenv.2016.11.098. Epub 2016 Nov 25.
10
Spatiotemporal evaluation of drought trend during 1979-2019 in seven climatic zones of Bangladesh.1979 - 2019年孟加拉国七个气候区干旱趋势的时空评估
Heliyon. 2021 Oct 27;7(11):e08249. doi: 10.1016/j.heliyon.2021.e08249. eCollection 2021 Nov.

引用本文的文献

1
Response of solar-induced chlorophyll fluorescence-based spatial and temporal evolution of vegetation in Xinjiang to multiscale drought.基于太阳诱导叶绿素荧光的新疆植被时空演变对多尺度干旱的响应
Front Plant Sci. 2024 Aug 9;15:1418396. doi: 10.3389/fpls.2024.1418396. eCollection 2024.
2
A hybrid ensemble learning merging approach for enhancing the super drought computation over Lake Victoria Basin.一种用于加强维多利亚湖流域超级干旱计算的混合集成学习融合方法。
Sci Rep. 2024 Jun 15;14(1):13870. doi: 10.1038/s41598-024-61520-6.
3
Analysis of Growing Season Normalized Difference Vegetation Index Variation and Its Influencing Factors on the Mongolian Plateau Based on Google Earth Engine.
基于谷歌地球引擎的蒙古高原生长季归一化植被指数变化及其影响因素分析
Plants (Basel). 2023 Jul 4;12(13):2550. doi: 10.3390/plants12132550.
4
Spatiotemporal Variation in Actual Evapotranspiration and the Influencing Factors in Ningxia from 2001 to 2020.2001 年至 2020 年宁夏实际蒸散量的时空变化及影响因素。
Int J Environ Res Public Health. 2022 Oct 4;19(19):12693. doi: 10.3390/ijerph191912693.
5
Monitoring climate change, drought conditions and wheat production in Eurasia: the case study of Kazakhstan.监测欧亚大陆的气候变化、干旱状况和小麦生产:以哈萨克斯坦为例
Heliyon. 2021 Dec 23;8(1):e08660. doi: 10.1016/j.heliyon.2021.e08660. eCollection 2022 Jan.
6
Spatial and temporal characteristics of drought and its correlation with climate indices in Northeast China.东北地区干旱时空特征及其与气候指数的相关性分析。
PLoS One. 2021 Nov 18;16(11):e0259774. doi: 10.1371/journal.pone.0259774. eCollection 2021.
7
Spatiotemporal evaluation of drought trend during 1979-2019 in seven climatic zones of Bangladesh.1979 - 2019年孟加拉国七个气候区干旱趋势的时空评估
Heliyon. 2021 Oct 27;7(11):e08249. doi: 10.1016/j.heliyon.2021.e08249. eCollection 2021 Nov.
8
Vegetation change in response to climate factors and human activities on the Mongolian Plateau.蒙古高原植被对气候因素和人类活动的响应变化
PeerJ. 2019 Sep 30;7:e7735. doi: 10.7717/peerj.7735. eCollection 2019.
9
Spatiotemporal variation and influencing factors of vegetation cover in the ecologically fragile areas of China from 2000 to 2015: a case study in Shaanxi Province.2000-2015 年中国生态脆弱区植被覆盖时空变化及其影响因素分析——以陕西省为例。
Environ Sci Pollut Res Int. 2019 Oct;26(28):28977-28992. doi: 10.1007/s11356-019-06096-9. Epub 2019 Aug 6.
10
Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants.蒙古高原植被物候变化及其气候决定因素。
PLoS One. 2017 Dec 21;12(12):e0190313. doi: 10.1371/journal.pone.0190313. eCollection 2017.