聯(lián)合GRACE重力衛(wèi)星與GPS研究區(qū)域陸地水儲(chǔ)量變化
[Abstract]:Since 2002, when the Earth's gravity field recovery and climate test satellite GRACE (Gravity Recovery and Climate Experiment) was launched, it has been operating continuously for more than 15 years, and has accumulated a great deal of valuable scientific observation data, especially in the time-varying gravity field, static gravity field, and the earth's gravity field, especially in the time-varying gravity field, static gravity field. Great contributions have been made in the study of surface mass change, surface load deformation, land water reserve change, glacier ocean change and strong earthquake deformation. Changes in land water reserves will cause changes in the earth's gravity field, which can be effectively monitored by GRACE gravity satellites. Through the time-varying gravity field provided by GRACE satellite, the large-scale change of land water reserves can be obtained by inversion of land hydrological signals, and the characteristics of groundwater variation can be detected by further combining hydrological model. It can not only provide new ideas and methods for studying the dynamic change of regional water resources, prevention and control, but also provide valuable reference for the study of the mechanism of land subsidence disasters caused by the exploitation of groundwater. For this reason, this paper selects the typical North China area and the California Central Valley, where groundwater exploitation is the most serious at the junction of the ocean-land plate of the United States of America, in the interior of the continental plate of China. Based on the GRACE gravity field model, the variation characteristics of regional land hydrologic information are studied, and the real signal of regional land water reserves can be recovered from the deformation data observed by GPS, and an attempt is made to analyze the real signal of regional land water reserves. The main research contents and achievements are as follows: (1) the research status and key techniques of inversion of land water reserves by using GRACE gravity field potential model coefficient are described in detail, and the formula principle of using GRACE gravity field model to invert land surface mass change is deduced. Based on the GSM data, the classical filtering methods in the post-processing process of gravity field are compared and analyzed with different parameters. The valuable reference about the effectiveness of the filtering method is given. (2) in view of the problems of high-order truncation, filtering, leakage error and so on, the real signal loss will be caused in the inversion process of gravity field model. In this paper, a new algorithm for restoring regional hydrological signals with GPS time series constraints is proposed. The ground load deformation retrieved from gravity field model is compared with the deformation monitored by GPS by means of spectrum analysis, and the loss ratio of signal generated in the inversion process is obtained. According to the "scale", the real signal of mass change can be recovered. (3) using CSR_RL05 data of GRACE gravity field model, the change information of land water reserves in North China Plain is obtained. Combined with hydrological model data, the dynamic characteristics of groundwater in North China Plain are obtained. The results show that the change of surface water in North China Plain is relatively weak and the period of change is stable, while the change of total land water reserves observed by GRACE is mainly due to the change of groundwater. In 2002-2016, the reserves of land water in North China Plain decreased at the rate of 37.32mm/a, and the annual loss rate of groundwater was about 34.6 鹵3.2mm/a,. (4) using the GRACE gravity field model data, the loss of groundwater was about 66.05 billion tons. GLDAS hydrologic model data and GPS deformation information of American PBO monitoring network are used to retrieve the dynamic variation characteristics of groundwater in the Central Valley of California by using GPS time series constraint method. The results show that the total land water reserves in the central valley of California show a downward trend, and the surface water changes show a long-term equilibrium but a slight decline, and the trend of change is similar to that of land water reserves. The annual loss rate of groundwater in the Central Valley of California from 2003 to 2015 is about 16.43 鹵1.98 mm/a, which is basically consistent with the results of previous studies. Therefore, the feasibility of the method with GPS time series constraints is also verified.
【學(xué)位授予單位】:長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:P22;P332
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