测绘学报 ›› 2020, Vol. 49 ›› Issue (10): 1285-1294.doi: 10.11947/j.AGCS.2020.20200026

• 大地测量学与导航 • 上一篇    下一篇

青藏高原区域水储量变化的GRACE RL06和TRMM联合反演

秦毅坤1, 王泽根1,2, 范东明3   

  1. 1. 西南石油大学土木工程与测绘学院, 四川 成都 610500;
    2. 西南石油大学地球科学与技术学院, 四川 成都 610500;
    3. 西南交通大学地球科学与环境工程学院, 四川 成都 611756
  • 收稿日期:2020-01-18 修回日期:2020-08-28 发布日期:2020-10-31
  • 通讯作者: 范东明 E-mail:dmfan@swjtu.edu.cn
  • 作者简介:秦毅坤(1992-),男,硕士生,研究方向为GRACE时变重力场的应用。E-mail:norththehonor@hotmail.com
  • 基金资助:
    国家自然科学基金(41404018;41574018)

The joint inversion of regional water reserve changes in the Qinghai-Tibet Plateau based on GRACE RL06 and TRMM data

QIN Yikun1, WANG Zegen1,2, FAN Dongming3   

  1. 1. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China;
    2. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
    3. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
  • Received:2020-01-18 Revised:2020-08-28 Published:2020-10-31
  • Supported by:
    The National Natural Science Foundation of China(Nos. 41404018;41574018)

摘要: 近10年来,独立成分分析(ICA)逐渐被引入地球时变重力场的成分提取中。ICA因其提取成分的独立性,解决了运用主成分分析(PCA)时各提取成分仅互不相关的这一关键性问题。基于负熵的FastICA算法是常见的ICA方法,该算法的收敛较梯度算法快,且负熵的稳健性较峭度更好。本文采用上述算法,旨在探寻青藏高原区域水储量成分与降水成分之间的联系。研究表明,青藏高原的水储量变化较降水存在着7个月的延迟效应,显示出除季节性冻土与冰川的冻融和季风气候所带来降水贡献之外,还客观存在着因区域内水交换造成的延迟。结合特征信号来看,青海中部、西藏西部与西藏中东部之间的年均水储量变化刚好相反,在全球变暖所导致的冻土与冰川加速消融的大背景下,因气候与内外流区的不同造成区域水储量变化的差异性,此外上述区域的水储量变化也因青藏高原南北板块构造的不同而体现出差异性。研究证明了在大尺度范围内运用FastICA算法分析区域水储量成分及其相关因素变化的可行性。

关键词: 青藏高原, GRACE, TRMM, 水储量变化, 负熵, FastICA算法

Abstract: In the past decade, independent component analysis (ICA) has been gradually introduced into the component extraction of Earth's time-varying gravity field. Because of the independence of the extracted components, ICA solves the key problem that the extracted components are only irrelevant when using principal component analysis (PCA). The FastICA algorithm based on negative entropy is a common ICA method. The algorithm converges faster than the gradient algorithm, and the robustness of negative entropy is better. In this paper, the above algorithm is used to explore the relationship between the water storage components and precipitation components of the Qinghai-Tibet Plateau. The research indicates that there is a 7-month delay effect on the changes in water reserves on the Plateau compared to precipitation. It shows that in addition to seasonal frozen soils and glaciers, and the precipitation from the monsoon climate, there are also objective delays caused by regional water exchange. In view of the characteristic signals, the changes in annual average water reserves between central Qinghai, western Tibet, and central and eastern Tibet have reversed. It is pointed out that in the context of accelerated melting of frozen soil and glaciers caused by global warming, the regional water reserve changes due to different climate and flow regions. In addition, the changes of water reserves in the above areas are also different due to the north and south plate tectonics of the Qinghai-Tibet Plateau. Therefore, through the above studies, the feasibility of using the FastICA algorithm to analyze changes in regional water reserve components and their related factors on a large scale has been proven.

Key words: Qinghai-Tibet Plateau, GRACE, TRMM, changes in water reserves, negentropy, FastICA algorithm

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