摘要
以MOD13A3数据和MOD11A2数据为基础,并结合30m空间分辨率SRTM高程数据进行高程校正,获得2017年华北地区各个月份TVDI等级分布图,利用TRMM3B43逐月降水数据和CLDASV2.0土壤体积含水量数据对TVDI反演结果进行联合分析,探讨旱情、降雨和土壤水分三者之间的关系。实验结果表明,华北地区旱情时空分布变化具有不均一性,2017年3、4月份华北地区出现春旱现象,而11、12月份则出现冬旱现象,7至9月份雨季的到来使旱情得到缓解,华北地区处于湿润状态。此外,DEM校正后的TVDI和月降雨量水平、土壤水分体积含水量存在负相关性。2017年DEM校正后的TVDI的波动性表现比较平稳,而降雨和土壤水分的波动性相对较大。
The TVDI level distribution map of each month in north China in 2017 is obtained based on MOD13A3 data and MOD11A2 data,and combined with 30 m spatial resolution SRTM elevation data for DEM correction.The monthly precipitation data of TRMM 3B43 and soil volume water content data of CLDAS V2.0 are used to analyze the TVDI inversion results and explore the relationship between drought,rainfall and soil moisture.The study result shows that the spatial and temporal distribution changes of drought in North China are heterogeneous.The North China experienced spring drought from march to April in 2017,while the winter drought occurred from November to December in 2017.The arrival of rainy season from July to September eased the drought,and North China was in a humid state.In addition,DEM corrected TVDI was negatively correlated with monthly rainfall level and soil moisture volume water content.The volatility of TVDI corrected by DEM in 2017 is relatively stable,while the fluctuation of rainfall and soil moisture is relatively large.
作者
李伯祥
陈晓勇
徐雯婷
LI Bo-xiang;CHEN Xiao-yong;XU Wen-ting(School of Geomatics,East China University of Technology,Nanchang 330013,China;Key Laboratory of Watershed Ecology and Geographical Environment Monitoring,Nanchang 330013,China)
出处
《东华理工大学学报（自然科学版）》
CAS
2019年第3期266-273,共8页
Journal of East China University of Technology(Natural Science)
基金
国家自然科学基金项目“农作物干旱致灾过程遥感监测与精准识别机理与方法研究”(41771371)
国家科研项目“作物生长与生产力卫星遥感监测预测”(2016YFD0300600)
作者简介
李伯祥(1994—),男,硕士研究生,主要从事GIS与遥感影像处理方面研究。E-mail:1017939781@qq.com.
