首页|基于SPEI-RRV和MC的云贵高原干旱状态识别

基于SPEI-RRV和MC的云贵高原干旱状态识别

扫码查看
全球变暖趋势明显,致使区域性干湿变化特征的不确定性加剧.通过计算标准化降水蒸散指数(SPEI),结合可靠性-回弹性-脆弱性指标(reliability-resilience-vulnerability,RRV)和马尔科夫链估计(Markov Chains,MC)统计2000~2022 年云贵高原区域的干旱风险等级、干旱发生频率、涉及面积占比和平均持续时间,并采用Mann-Kendall检验法检验其趋势显著性,识别云贵高原的干旱事件,定量刻画干旱状态空间特征.结果表明:SPEI-RRV能够有效识别云贵高原干旱事件,该指数能较为精确地评价区域干旱状态;云贵高原78%的地区干旱状态有微弱的逐年加重趋势,有超过35%的概率会遭受从轻度到特级不同程度的干旱,东部丘陵区特旱的稳态概率为25%,该区域发生极端干旱概率较高.研究成果可为云贵高原干旱监测和干旱风险评估提供参考.
Identification of drought status in Yunnan-Guizhou Plateau based on SPEI-RRV and Markov Chain
The continual global warming trend has contributed to the uncertainty of regional dry and wet change characteristics.In this study,a standardized precipitation evapotranspiration index(SPEI)of the Yunnan-Guizhou Plateau was calculated,and combined with reliability-resilience-vulnerability(RRV)and Markov Chains(MC),the drought risk level,drought frequency,area proportion and average duration of the region were calculated.Then Mann-Kendall test was employed to test their signifi-cance,identify drought events and characterize the spatial characteristics of drought states quantitatively in the Yunnan-Guizhou Plateau during the period from 2000 to 2022.The results showed that SPEI-RRV was reliable in identifying drought events and evaluating regional drought states accurately in the Yunnan-Guizhou Plateau.78%of the regions have a weak increasing trend of drought year by year.The Yunnan-Guizhou Plateau has more than 35%probability of suffering different degrees of drought from light to extra severe,especially the steady state probability of extra severe drought in the eastern hilly region is25%,and the prob-ability of extreme drought is very high.The research findings can provide references for drought monitoring and drought risk as-sessment in the Yunnan-Guizhou Plateau.

drought status identificationSPEI-RRVMarkov ChainsYunnan-Guizhou Plateau

郝海宁、王新鹏、简灵活、赵庆志

展开 >

贵州大学 矿业学院,贵州 贵阳 550025

武汉大学 卫星导航定位技术研究中心,湖北 武汉 430079

西安科技大学 测绘科学与技术学院,陕西 西安 710054

干旱状态识别 SPEI-RRV 马尔科夫链 云贵高原

贵州大学引进人才科研项目贵州大学培育项目武汉大学地球空间环境与大地测量教育部重点实验室测绘基础研究基金项目陕西省创新能力支撑计划项目

贵大人基合字202043号贵大培育[2020]5720-01-022023KJXX-050

2024

人民长江
水利部长江水利委员会

人民长江

CSTPCD北大核心
影响因子:0.451
ISSN:1001-4179
年,卷(期):2024.55(7)
  • 11