利用Swarm星群探测亚马逊流域2015-2016年干旱事件  

2015-2016 Drought Event in the Amazon River Basin as Measured by Swarm Constellation

作　　者：李夫鹏 王正涛[1] 超能芳 冯建迪 张兵兵[1,4] 田坤俊 韩亚坤 LI Fupeng;WANG Zhengtao;CHAO Nengfang;FENG Jiandi;ZHANG Bingbing;TIAN Kunjun;HAN Yakun(School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China;College of Marine Science and Technology,China University of Geosciences,Wuhan 430074,China;School of Civil and Architectural Engineering,Shandong University of Technology,Zibo 255049,China;School of Geographic Sciences,Xinyang Normal University,Xinyang 464000,China;College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541004,China;Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin 541004,China)

机构地区：[1]武汉大学测绘学院,湖北武汉430079 [2]中国地质大学海洋学院,湖北武汉430074 [3]山东理工大学建筑工程学院,山东淄博255049 [4]信阳师范学院地理科学学院,河南信阳464000 [5]桂林理工大学测绘地理信息学院,广西桂林541004 [6]广西空间信息与测绘重点实验室,广西桂林541004

出　　处：《武汉大学学报（信息科学版）》2020年第4期595-603,共9页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金(41274032,41474018,41429401,41774019);国家自然科学基金青年基金(41704011,41804032);武汉大学地球空间环境与大地测量教育部重点实验室开放基金(16-01-01,17-02-02);大地测量与地球动力学国家重点实验室开放基金(SKLGED2017-2-2-E);地球观测与时空信息科学国家测绘地理信息局重点实验室开放基金(201812);广西空间信息与测绘重点实验室资助课题(17-259-16-01)。

摘　　要：准确探测和预防干旱事件对人类社会和经济发展至关重要。重力场恢复和气候实验(Gravity Recovery and Climate Experiment,GRACE)卫星自发射以来被广泛用于探测包括陆地水储量变化在内的地球质量迁移情况,但两代GRACE卫星数据任务之间存在空白。Swarm卫星搭载了全球定位系统(Global Positioning System, GPS)接收机和加速度计等设备,可用于恢复地球时变重力场,具有填补两代GRACE卫星任务之间空白的潜力。基于此,首先采用2013-12-2016-12的Swarm时变重力场估计亚马逊流域的陆地水储量变化和2015-2016年干旱事件造成的陆地水储量不足;然后与GRACE卫星数据、3种水文模型和4个虚拟水文站数据估计的结果进行对比分析;最后采用降水和温度数据研究造成亚马逊流域干旱事件的原因。实验数据结果表明,Swarm同GRACE、水文模型和虚拟水文站估计的结果均符合较好;Swarm为探测陆地水储量变化和干旱事件提供了新的有效途径,具有替代GRACE卫星探测亚马逊流域极端干旱和洪水灾害的潜力,该结果对利用Swarm星群研究地球质量迁移有一定参考作用。The Swarm satellite is equipped with the Global Positioning System(GPS) receiver and accelerometer, which can be used to restore Earth’s temporal gravity field model. Firstly, the terrestrial water storage(TWS) variability and 2015-2016 drought induced TWS deficits in the Amazon basin are estimated from the Swarm time-variable gravity field model between December 2013 and December 2016.Then, the estimated results from Swarm data are compared to the results derived from Gravity Recovery and Climate Experiment(GRACE), three hydrological models(Global Land Data Assimilation System(GLDAS), Climate Predication Center(CPC), National Centers for Environmental Prediction(NCEP))and 4 virtual stations(AMZ076, AMZ152, AMZ 228 and AMZ215). Finally, the precipitation and temperature data are employed to study the origination of the drought event in the Amazon basin. The results indicate that the TWS derived from Swarm, GRACE, hydrological models, and virtual stations are in high consistency in the space/time distribution;Swarm provided a new perspective in detecting TWS,which has a potential to substitute GRACE satellite in studying the extremely drought and flood in the Amazon basin. The results in this paper may provide a reference in understanding Earth’s mass transformation by Swarm.

关 键 词：SWARM GRACE TRMM 水文模型 卫星测高 

分 类 号：P223[天文地球—大地测量学与测量工程]