测绘通报 ›› 2022, Vol. 0 ›› Issue (1): 61-65.doi: 10.13474/j.cnki.11-2246.2022.0011

• 学术研究 • 上一篇    下一篇

基于GPS垂向位移测定云南地区陆地水储量及其对累积降雨的响应机制

肖家豪1, 张双喜1,2, 韦瑜1,2, 蔡剑锋1, 洪敏3   

  1. 1. 武汉大学测绘学院, 湖北 武汉 430079;
    2. 地球空间环境与大地测量教育部重点实验室, 湖北 武汉 430079;
    3. 云南省地震局形变测量中心, 云南 昆明 650041
  • 收稿日期:2021-01-04 发布日期:2022-02-22
  • 作者简介:肖家豪(1996-),男,硕士生,研究方向为GPS时间序列分析。E-mail:xiaojiahao@whu.edu.cn
  • 基金资助:
    国家自然科学基金(42074176;41874169;U1939204);国家重点研发计划(2020YFC1512401);武汉市示范项目(WHDYS-2018-006)

Response mechanism of terrestrial water storage to cumulative precipitation in Yunnan based on GPS vertical displacement

XIAO Jiahao1, ZHANG Shuangxi1,2, WEI Yu1,2, CAI Jianfeng1, HONG Min3   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan University, Wuhan 430079, China;
    3. Deformation Survey Center, Yunnan Earthquake Agency, Kunming 650041, China
  • Received:2021-01-04 Published:2022-02-22

摘要: 本文基于中国大陆构造环境监测网(陆态网)GPS台站垂向形变数据,通过主成分分析计算云南省6大流域陆地水负荷形变,并与降雨数据进行相关性分析和交叉小波分析。结果表明,云南省各流域陆地水储量变化相对于降雨在半年和年周期上分别存在1.5~2.25和3~6个月的滞后,不同周期滞后的叠加使陆地水储量与累积降雨量之间存在显著的负相关性,6大流域的降雨累积天数各不相同,均在47~109 d之间。本文由此提出一种云南地区陆地水储量对累积降雨的响应机制。

关键词: 垂直形变, 陆地水负荷形变, 累积降雨量, 主成分分析, 交叉小波

Abstract: Based on the global positioning system (GPS) vertical deformation data from CMONOC, the terrestrial water load deformation of six basins in Yunnan are calculated by principal component analysis, the correlation analysis and cross-wavelet analysis with precipitation show that the change of terrestrial water storage(TWS) has a lag of 1.5~2.25 months in the semi-annual cycle and 3~6 months in the annual cycle relative to rainfall in each basin. There is a significant negative correlation between TWS and cumulative precipitation due to the superposition of lags on different period. The days of cumulative precipitation in the six basins are different, ranging from 47 to 109 days. Based on the result, a response mechanism of terrestrial water storage to cumulative precipitation in Yunnan is proposed.

Key words: vertical deformation, terrestrial water load deformation, cumulative precipitation, principal component analysis, cross-wavelet analysis

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