摘要
构建融合多源数据的综合干旱指数对准确、客观、全面监测与评价干旱具有重要意义。本文利用主成分分析方法,将基于GNSS测站垂向形变和GRACE/GRACE Follow-On(GRACE-FO)重力卫星数据的单一水文干旱指数与我国常用的综合干旱指数(CI)进行融合,在西南地区构建反映水文气象要素的新型综合干旱指数(CDI)。结果表明,相比于CI和基于GNSS、GRACE/GRACE-FO数据的单一干旱指数,CDI指数与改进的帕默尔干旱指数(scPDSI)的相关性均有较大提升,最大相关系数达到0.84,相关系数提高的站点数占比分别达到100%、93%和67%,所有站点相关系数的平均值从0.48、0.34、0.57提高到0.64,表明本文构建的CDI指数能有效融合多源数据包含的干旱信息,提升区域干旱监测的效果。
Developing the combined drought index(CDI)integrating multi-source data is of important significance for accurate,objective and comprehensive drought monitoring and assessment.In this study,we built a novel CDI reflecting hydro-meteorological variables in Southwest China based on the principle component analysis.The proposed CDI integrates drought indices derived from Global Navigation Satellite System(GNSS)vertical displacements and time-variable gravity fields from Gravity Recovery and Climate Experiment(GRACE)/GRACE Follow-On(GRACE-FO)as well as the commonly used meteorological composite index(CI)in China.The results show that compared to the individual CI index and the drought indices based on GNSS,GRACE/GRACE-FO data,correlation coefficients between the proposed CDI and self-calibrating palmer drought severity index(scPDSI)improved significantly,with the maximum value of 0.84;the number of sites with improved correlations for the individual drought indices account for 100%,93%,and 67%,respectively;the averaged correlation coefficients of all studied sites increased from 0.48,0.34,0.57 to 0.64,respectively.The results indicate the effectiveness of integrating drought information containing in multi-source data in the proposed CDI index,which could help to improve regional drought monitoring.
作者
姚朝龙
陈涌鑫
罗志才
李琼
叶雪淼
温进杰
YAO Chaolong;CHEN Yongxin;LUO Zhicai;LI Qiong;YE Xuemiao;WEN Jinjie(College of Natural Resources and Environment,South China Agricultural University,Guangzhou 510642,China;Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation,South China Agricultural University,Guangzhou 510642,China;Guangdong Province Land Information Engineering Technology Research Center,South China Agricultural University,Guangzhou 510642,China;MOE Key Laboratory of Fundamental Physical Quantities Measurement,Institute of Geophysics and PGMF,School of Physics,Huazhong University of Science and Technology,Wuhan 430074,China;School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,China)
出处
《测绘学报》
EI
CSCD
北大核心
2023年第11期1883-1891,共9页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(42004013)
广东省自然科学基金面上项目(2022A1515010469)
广州市科技计划项目基础研究计划-基础与应用基础研究项目(202102020526,202102020380)。
