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联合GRACE与TRMM探测阿富汗水储量能力及其发生洪水的可能性

Combination GRACE and TRMM Estimate of Water Storage Capacity and Flood Potential in Afghanistan

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【作者】 王正涛超能芳姜卫平晁定波

【Author】 WANG Zhengtao;CHAO Nengfang;JIANG Weiping;CHAO Dingbo;School of Geodesy and Geomatics,Wuhan University;Key Laboratory of Geospace Environment and Geodesy,Ministry of Education,Wuhan University;Research Center of GNSS,Wuhan University;

【机构】 武汉大学测绘学院武汉大学地球空间环境与大地测量教育部重点实验室武汉大学卫星导航定位技术研究中心

【摘要】 联合重力恢复和气候探测任务(gravity recovery and climate experiment,GRACE)确定的陆地水储量变化以及降水测量卫星任务(tropical rainfall measuring mission satellite,TRMM)提供的降水观测数据,探测局部地区发生洪水的可能性,是一种非常有用的遥测方法。本文提出了一种改进的方法来探测阿富汗陆地水储量能力及其发生洪水的可能性。首先,根据GRACE数据确定的陆地水储量变化获取改进的水储量不足,进而估计阿富汗水储量能力;其次,联合TRMM降水数据,建立阿富汗洪水因子模型;最后,将阿富汗洪水因子结果与中国气象局国家气候中心观测图进行对比。结果表明,洪水因子与中国气象局国家气候中心观测结果基本吻合,并从时间和空间角度真实地反应了阿富汗地区发生的洪水。因此,联合GRACE和TRMM卫星观测数据可探测阿富汗发生洪水的可能性,并为研究区域洪水预警提供了新的有利工具。

【Abstract】 Terrestrial water storage anomaly from the Gravity Recovery and Climate Experiment(GRACE)and precipitation observations from the Tropical Rainfall Measuring Mission satellite(TRMM)are combined and applied to assess regional flood potential in Afghanistan.The results show that this is a useful remote-sensing method to improve estimates of terrestrial water storage capacity and flood potential.The improved monthly storage deficit variable obtained from the terrestrial water storage anomaly from GRACE was used to assess the terrestrial water storage capacity.A flood potential index model was established by combining it with TRMM.The results were compared with those from National Climate Center of China(NCCC),showing that the experimental flood potential index for Afghanistan was consistent with the NCCC data and accurate from the perspective of time and space.The proposed combination method using GRACE and TRMM,can effectively estimate the flood potential in Afghanistan,and provides a useful new tool for regional flood warnings.

【基金】 国家973计划(2013CB733301,2013CB733302);国家自然科学基金(41274032,41474018);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(14-02-04)~~
  • 【文献出处】 武汉大学学报(信息科学版) ,Geomatics and Information Science of Wuhan University , 编辑部邮箱 ,2016年01期
  • 【分类号】P223;P228;P332
  • 【被引频次】9
  • 【下载频次】447
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