本文選題：似大地水準(zhǔn)面精化　切入點(diǎn)：地球重力場(chǎng)模型　出處：《長(zhǎng)安大學(xué)》2013年碩士論文

【摘要】：自2009年3月17日GOCE衛(wèi)星發(fā)射以來(lái)，衛(wèi)星重力數(shù)據(jù)的精度和分辨率得到了極大提高，，GOCE衛(wèi)星的科學(xué)目標(biāo)之一就是確定全球范圍內(nèi)cm級(jí)精度的大地水準(zhǔn)面。隨著GOCE衛(wèi)星的成功發(fā)射，圍繞GOCE數(shù)據(jù)處理和應(yīng)用研究將成為今后幾年地學(xué)研究的熱點(diǎn)之一。本文利用GOCE衛(wèi)星L2產(chǎn)品中的重力場(chǎng)模型數(shù)據(jù)與SRTM地形數(shù)據(jù)計(jì)算區(qū)域似大地水準(zhǔn)面高，并對(duì)相關(guān)理論與方法進(jìn)行了介紹。 論文的主要內(nèi)容概括如下： (1)介紹了精化大地水準(zhǔn)面的基本概念與基本理論，并重點(diǎn)介紹了“移去-恢復(fù)”技術(shù)。 (2)介紹并比較研究了基于GOCE衛(wèi)星數(shù)據(jù)所建立的重力場(chǎng)模型。首先分析了他們的階方差；其次利用研究區(qū)域內(nèi)GPS/水準(zhǔn)數(shù)據(jù)對(duì)所選模型計(jì)算得到的大地水準(zhǔn)面高進(jìn)行了比較；最后利用最小二乘原理對(duì)模型計(jì)算值進(jìn)行了擬合改正。計(jì)算結(jié)果表明，利用GOCE衛(wèi)星數(shù)據(jù)產(chǎn)品恢復(fù)地球重力場(chǎng)模型的三種方法中，直接法精度最高，時(shí)域法次之，空域法精度最差；GOCE模型的精度比EGM2008重力場(chǎng)模型的精度降低了約0.2m；GOCE重力場(chǎng)模型在平原的誤差約19cm，在山區(qū)的誤差約42cm。 (3)介紹和分析了常用的超高階締合勒讓德函數(shù)算法，計(jì)算結(jié)果表明跨階次遞推法的計(jì)算速度最快、數(shù)值精度最高。 (4)計(jì)算分析了地形對(duì)大地水準(zhǔn)面的間接影響，結(jié)果表明，地形起伏越大，對(duì)大地水準(zhǔn)面的間接影響越大；大地水準(zhǔn)面間接影響的計(jì)算公式中，主項(xiàng)具有明顯的主導(dǎo)作用，次項(xiàng)所占比例不大，在平坦的地區(qū)，次項(xiàng)可忽略不計(jì)；另外，積分半徑對(duì)間接影響的計(jì)算結(jié)果影響不大。 (5)提出了顧及重力場(chǎng)模型與地形改正的“移去-恢復(fù)”法，通過(guò)實(shí)例計(jì)算結(jié)果表明，這種方法是行之有效的；另外，多項(xiàng)式擬合可以有效的減小重力大地水準(zhǔn)面與幾何大地水準(zhǔn)面的系統(tǒng)誤差。
[Abstract]:Since the launch of the GOCE satellite on March 17, 2009, the accuracy and resolution of the satellite gravity data have been greatly improved. One of the scientific objectives of the satellite is to determine the geoid with cm precision in the global scope.With the successful launch of GOCE satellite, the research on GOCE data processing and application will become one of the hotspots of geoscience research in the next few years.In this paper, using the gravity field model data of GOCE satellite L2 and SRTM topographic data to calculate the area quasi geoid height, the related theories and methods are introduced.The main contents of the thesis are summarized as follows:The basic concept and theory of refined geoid are introduced, and the technology of "remove-recover" is introduced emphatically.The gravity field model based on GOCE satellite data is introduced and compared.First, their order variance is analyzed; secondly, the geoid height calculated by the selected model is compared by using the GPS/ leveling data in the study area; finally, the fitting correction of the model calculated value is carried out by using the least square principle.The calculation results show that the direct method has the highest precision and the time domain method is the second among the three methods for restoring the earth gravity field model by using the GOCE satellite data products.Compared with the EGM2008 gravity field model, the precision of the spatial domain method is the worst. The error of the model is about 19cm in the plain and 42 cm in the mountain area.This paper introduces and analyzes the commonly used algorithms of ultra-high order associating Legendre function. The results show that the cross order recursive method is the fastest in calculation and the highest in numerical accuracy.4) the indirect influence of topography on geoid is analyzed. The results show that the larger the topographic fluctuation, the greater the indirect influence on geoid, and the main term plays a dominant role in the calculation formula of indirect geoid influence.The proportion of the second term is not large, but in the flat area, the second term is negligible, and the integral radius has little influence on the calculation results of the indirect effect.(5) A method of "removal and recovery", which takes gravity field model and terrain correction into account, is proposed. The calculation results show that the method is effective.Polynomial fitting can effectively reduce the systematic error between gravity geoid and geometric geoid.
【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】：2013
【分類號(hào)】：P22

【引證文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 田厚勇;似大地水準(zhǔn)面精化方法研究及在松原灌區(qū)中的應(yīng)用[D];長(zhǎng)春工程學(xué)院;2015年

本文編號(hào)：1705325