首页> 外文期刊>Current Science: A Fortnightly Journal of Research >Space-based gravity data analysis for groundwater storage estimation in the Gangetic plain, India
【24h】

Space-based gravity data analysis for groundwater storage estimation in the Gangetic plain, India

机译:基于空间重力数据的印度恒河平原地下水储量估算

获取原文
获取原文并翻译 | 示例
           

摘要

Monthly, seasonal and annual hydrologic signals obtained by Gravity Recovery and Climate Experiment (GRACE mission) satellites are analysed and compared with storage variables of soil moisture signatures of Monsoon Asia Integrated Regional Study (MAIRS) mission and groundwater level information of Central Ground Water Board, to observe depletion trends of groundwater in the Gangetic plain, at regional scale. While the seasonal time-series showed seasonality in the groundwater storage change, the annual trends depict a decline in this region. Further, the results showed that groundwater storage had declined at a rate 3.33 mm/month from 2005 to 2010. These time-series comparisons of storage variables have agreeable R-2 (coefficient of determination) and r (correlation coefficient) at various temporal cycles.
机译:分析并通过重力恢复和气候实验(GRACE任务)卫星获得的每月,季节性和年度水文信号,并将其与季风亚洲综合区域研究(MAIRS)任务的土壤水分特征的存储变量和中央地下水委员会的地下水位信息进行比较,在区域范围内观察恒河平原地下水的枯竭趋势。尽管季节性时间序列显示了地下水储量的季节性变化,但年度趋势却表明该地区有所下降。此外,结果表明,从2005年到2010年,地下水的存储量以每月3.33毫米的速度下降。这些存储量的时间序列比较在各个时间周期内具有令人满意的R-2(测定系数)和r(相关系数)。 。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号