应用卫星重力数据监测维多利亚湖流域水储量变化
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  • 英文篇名:Water Storage Change of Lake Victoria Basin from GRACE Gravity Measurements
  • 作者:万祥禹 ; 范东明 ; 王陈燕
  • 英文作者:WAN Xiangyu;FAN Dongming;WANG Chenyan;Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University;
  • 关键词:维多利亚湖 ; GRACE ; 陆地水储量 ; Forward ; Modeling ; 地下水
  • 英文关键词:Lake Victoria;;GRACE;;terrestrial water storage;;Forward Modeling;;groundwater
  • 中文刊名:DBCH
  • 英文刊名:Geomatics & Spatial Information Technology
  • 机构:西南交通大学地球科学与环境工程学院;
  • 出版日期:2019-04-25
  • 出版单位:测绘与空间地理信息
  • 年:2019
  • 期:v.42;No.240
  • 基金:国家自然基金项目(41574018)资助
  • 语种:中文;
  • 页:DBCH201904006
  • 页数:5
  • CN:04
  • ISSN:23-1520/P
  • 分类号:31-34+38
摘要
维多利亚湖是非洲第一大淡水湖,也是全球十大湖泊中纬度最低的淡水湖,有利于GRACE的监测。维多利亚湖为其流域内的居民提供了赖以生存的淡水资源,监测其水储量变化有重要意义。利用2003年1月至2016年12月间的GRACE时变重力场数据反演其水储量变化,针对GRACE数据处理过程中产生的信号泄漏问题,采用Forward Modeling的方法恢复信号,结果表明:此方法能有效地减小泄漏误差,恢复初始信号;通过分析维多利亚湖流域水储量的变化趋势,发现其水储量在2003年至2016年有明显的阶段性变化,并且水储量易受到自然因素和人为因素影响;联合GRACE、卫星测高和GLDAS计算了流域内的地下水变化,其趋势与WGHM模式输出结果具有很好的一致性。
        Lake Victoria,the largest freshwater body in Africa,it's the world's largest lake with the lowest latitude,its geography location is conducive to GRACE's monitoring,it provides the living water resources for the surrounding residents,so it's significant to monitor the terrestrial water storage change in the basin. In this paper the time series variation of the water storage in Lake Victoria Basin has been calculated using the time-variable gravity data from GRACE( Gravity Recovery and Climate Experiment) between January 2003 and December 2016. Biases that are caused by spatial leakage errors can be effectively reduced by applying the unconstrained forward modeling to GRACE monthly TWS estimates. Analyzing the long-term variation of the TWS indicates that the TWS variation in the basin has obviously changes in the period. And the TWS are easy to be influenced by human factors and natural factors. In addition,the groundwater storage changes have been estimated using GRACE-derived TWS change,Satellite Altimetry and Global Land Data Assimilation System( GLDAS) data,the results have good relativity with the Water GAP Global Hydrology Model( WGHM) output.
引文
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