摘要
以热带常绿阔叶林为主的亚马逊流域在全球气候变化的背景下频繁遭受干旱胁迫。但是对于该地区实施长时间序列的干旱监测一直是难点和热点。基于Liu等2017年提出的微波温度—植被干旱指数(Microwave Temperature-Vegetation Drought Index,MTVDI),对亚马逊流域进行了2003—2008年长时间序列的干旱监测,并采用饱和水汽压差(Vapor Pressure Deficit,VPD)、帕尔默干旱指数(Palmer Drought Severity Index,PDSI)、陆地地下水储量(Terrestrial Water Storage,TWS)、气象水分亏缺(Climatological Water Deficit,CWD)对MTVDI进行验证。结果表明:对于整个研究区而言,MTVDI与VPD(R=0.72)和CWD(R=-0.57)相关性较显著,但与TWS和PDSI相关性较弱。总体上,MTVDI能够较好地反映亚马逊地区干旱的季节动态。
The Amazon basin,dominated by tropical evergreen broad-leaved forests,has frequently encountered drought stress due to the global climate change.The implementation of long-term regional drought monitoring in such areas has always been a serious issue.In this paper,we conducted a long-term drought monitoring of the Amazon basin from 2003 to 2008 based on the Microwave Temperature-Vegetation Drought Index(MTVDI)proposed by Liu et al.in 2017.And the MTVDI was evaluated by using Vapor Pressure Deficit(VPD),Palmer Drought Severity Index(PDSI),Terrestrial Water Storage(TWS)and Climatological Water Deficit(CWD).The results show that:For the whole study area,MTVDI is strongly associated with VPD and CWD(Pearson R are 0.72 and 0.57,respectively).In contrast,weak correlations exist between MTVDI and TWS,CWD.In general,MTVDI has well capacity to monitor drought dynamics in Amazon.
作者
刘礼杨
杨雪琴
陈修治
苏泳娴
任加顺
黄光庆
Liu Liyang;Yang Xueqin;Chen Xiuzhi;Su Yongxian;Ren Jiashun;Huang Guangqing(Guangzhou Institute of Geochemistry,Chinese Academy of Science,Guangzhou 510640,China;Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),Guangzhou 511458,China;School of Atmospheric Sciences,Sun Yat-sen University,Zhuhai 519082,China;Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,China;University of the Chinese Academy of Sciences,Beijing 100049,China)
出处
《遥感技术与应用》
CSCD
北大核心
2022年第4期961-970,共10页
Remote Sensing Technology and Application
基金
国家自然科学基金面上项目(31971458、41971275)
关键词
微波温度-植被干旱指数
干旱监测
亚马逊流域
季节性干旱
Microwave Temperature-Vegetation Drought Index
Drought monitoring
Amazon Basin
Seasonal drought