發(fā)布時(shí)間：2018-01-03 10:24

  本文關(guān)鍵詞：InSAR和GPS大地測(cè)量形變數(shù)據(jù)反演地震斷層滑動(dòng)的影響特征研究　出處：《西南交通大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： InSAR GPS 滑動(dòng)分布反演 影響特征 深部滑動(dòng)敏感性

【摘要】：地震是斷層運(yùn)動(dòng)的一種直接表征,強(qiáng)震具有破壞力大、致災(zāi)性廣等特點(diǎn),這使得對(duì)于探索地震發(fā)震機(jī)理及防震減災(zāi)成為地球科學(xué)的重要研究目標(biāo)之一。InSAR和GPS衛(wèi)星大地測(cè)量技術(shù)正成為一種高效的地殼形變監(jiān)測(cè)手段,可為地震研究提供豐富的形變觀測(cè)數(shù)據(jù)。尤其是大地測(cè)量與地震斷層位錯(cuò)理論的結(jié)合與成功應(yīng)用,使得以大地測(cè)量形變?yōu)榧s束的震源模型反演成為科學(xué)認(rèn)識(shí)地震機(jī)理的一種重要手段。然而,利用大地測(cè)量形變反演地震斷層滑動(dòng)仍存在精度匹配與可靠性問題,如基于InSAR單一維的LOS方向形變數(shù)據(jù)對(duì)反演斷層滑動(dòng)分布的精度,斷層近場(chǎng)InSAR干涉失相關(guān)現(xiàn)象對(duì)反演滑動(dòng)分布的影響,基于不同維度和不同臺(tái)站分布密度的GPS形變數(shù)據(jù)反演斷層滑動(dòng)分布的精度,以及以大地測(cè)量形變數(shù)據(jù)為約束反演斷層滑動(dòng)分布對(duì)深部滑動(dòng)的敏感性。因此,本文以典型的走滑斷層、正斷層、逆沖斷層為具體實(shí)驗(yàn)對(duì)象,對(duì)上述問題開展系統(tǒng)性的實(shí)驗(yàn)論證與定量分析。為驗(yàn)證InSAR單一維的LOS方向形變觀測(cè)精度對(duì)反演斷層滑動(dòng)分布的可靠性,本文反演了不同噪聲水平LOS維形變?yōu)榧s束的滑動(dòng)分布,結(jié)果顯示,在噪聲強(qiáng)度達(dá)到60mm時(shí),滑動(dòng)反演殘差為可接受殘差的30%至90%,且北、東、豎直三方向形變場(chǎng)解釋度均大于95%,說明在常規(guī)InSAR觀測(cè)精度條件下,對(duì)于近Mw7.0級(jí)及以上強(qiáng)震,使用單一 LOS維形變數(shù)據(jù)可反演獲得可靠的斷層滑動(dòng)分布。為分析斷層近場(chǎng)InSAR干涉失相關(guān)對(duì)反演斷層滑動(dòng)分布的影響,本文以LOS維絕對(duì)形變量級(jí)為梯度構(gòu)建不同程度干涉失相關(guān)形變場(chǎng)反演滑動(dòng)分布。結(jié)果表明,當(dāng)大于20%的InSAR LOS方向最大絕對(duì)形變參與反演時(shí),反演滑動(dòng)殘差小于1/10絕對(duì)平均滑動(dòng)量,可獲得可靠的滑動(dòng)分布。為評(píng)估不同維度GPS形變數(shù)據(jù)反演斷層滑動(dòng)的精度,本文開展了使用GPS三維形變、北東二維形變、以及單獨(dú)使用一維形變來反演滑動(dòng)分布的五組實(shí)驗(yàn)。結(jié)果表明,使用北東二維形變反演精度略高于GPS三維形變反演精度,均高于單獨(dú)使用一維形變反演精度。以GPS水平觀測(cè)精度3mm、豎直觀測(cè)精度10mm為參考,使用數(shù)量充足的任一維GPS形變數(shù)據(jù)均可反演獲得可靠的斷層滑動(dòng)分布。為分析GPS臺(tái)站分布密度對(duì)反演斷層滑動(dòng)分布的影響,論文反演了不同GPS格網(wǎng)密度條件下的滑動(dòng)分布。結(jié)果表明,考慮拉普拉斯平滑約束前提下,當(dāng)GPS臺(tái)站均勻分布且數(shù)量不小于1/7的離散子斷層數(shù)量時(shí),可獲得可靠的斷層滑動(dòng)分布。以日本2011年地震為例,反演了此次地震不同GPS臺(tái)站分布密度條件下的斷層滑動(dòng)分布,驗(yàn)證了實(shí)例結(jié)果與模擬結(jié)果具有較高的一致性。為分析InSAR與GPS大地測(cè)量形變數(shù)據(jù)反演斷層滑動(dòng)分布對(duì)深部滑動(dòng)的敏感性,本文反演了深部滑動(dòng)中心沿深度方向變化的滑動(dòng)分布。結(jié)果顯示,常規(guī)InSAR觀測(cè)精度(30mm隨機(jī)噪聲)形變數(shù)據(jù)對(duì)深部滑動(dòng)反演的探測(cè)性相對(duì)較低,而高精度(3mm隨機(jī)噪聲)InSAR形變數(shù)據(jù)對(duì)深部滑動(dòng)反演的探測(cè)性相對(duì)較高,但略低于數(shù)量充足的高精度GPS三維形變(每一維施加3mm隨機(jī)噪聲)對(duì)深部滑動(dòng)反演的可探測(cè)性,表明大地測(cè)量形變數(shù)據(jù)的精度相比于維度對(duì)深部滑動(dòng)探測(cè)能力的影響相對(duì)更大。
[Abstract]:The earthquake is a direct characterization of fault movement, destructive earthquake, disaster widely, which makes the exploration of the earthquake and earthquake disaster reduction mechanism has become one of the important research target.InSAR and GPS satellite geodesy technology, earth science is becoming an effective means of Monitoring Crustal deformation, deformation observation can provide rich data for seismic research. Especially combined with the successful application of geodetic and seismic fault dislocation theory, the geodetic deformation source model inversion constraint became an important means of scientific understanding of earthquake mechanism. However, the use of land seismic deformation inversion of fault slip measurement still exist, such as precision and reliability. Based on the LOS direction of InSAR single dimensional deformation data on the accuracy of inversion of fault slip distribution, fault InSAR near field interference loss phenomenon of slip distribution inversion Influence of different dimensions and different station distribution density inversion of fault slip distribution GPS deformation data based on precision, as well as geodetic deformation data for sensitivity constrained inversion of fault slip distribution on deep sliding. Therefore, this paper take typical slip faults, normal faults, thrust faults as the experimental object, to carry out experiments quantitative and systematic analysis of the above problems. LOS direction verification of InSAR single dimensional deformation observation precision on the reliability of inversion of fault slip distribution inversion, the different noise level of LOS dimensional deformation display results for distribution, sliding constraint, the noise intensity reaches 60mm, the residual slip inversion as acceptable residual 30% to 90%, and the North, East, three direction vertical deformation field explanation degree is greater than 95%, indicating the observation accuracy in conventional InSAR conditions for nearly Mw7.0 and above the earthquake, with a single LOS dimensional shape Data can be estimated by inversion of fault slip distribution reliability. Analysis of fault InSAR near field interference decorrelation effect on inversion of fault slip distribution, based on the LOS dimensional absolute variable level interference loss related deformation field inversion slip distribution gradient construction in different degree. The results show that when the InSAR LOS direction is greater than 20% in absolute maximum deformation inversion, inversion of residual sliding is less than 1/10 the average absolute slip, can obtain the slip distribution reliable. In order to evaluate the different dimensions of inversion of fault deformation data of GPS sliding precision, this paper carried out using GPS three-dimensional deformation, the North East and two-dimensional deformation, single one-dimensional deformation slip distribution inversion to the five set of experiments. The results show that the use of North East Precision two-dimensional deformation inversion is slightly higher than the retrieval precision of GPS 3D deformation, were higher than the accuracy of one-dimensional deformation inversion alone. The GPS level of the 3mm measurement accuracy, vertical visual The accuracy of 10mm for reference, the use of a sufficient number of any dimension GPS deformation data can be derived from the fault slip distribution reliability. For the analysis of GPS station distribution density on the inversion of fault slip distribution inversion, the sliding grid under the condition of different GPS density distribution. The results show that considering the Laplasse smoothing constraints when the number of discrete sub fault GPS stations evenly distributed and the number of not less than 1/7, can obtain reliable fault slip distribution. With the 2011 earthquake in Japan as an example, the inversion fault slip distribution of the earthquake in different GPS stations distribution density conditions, verify the results consistent with the simulation results is very high. For the analysis of InSAR and GPS geodetic inversion of fault slip distribution measurement of deformation data on deep sliding of the sensitivity of the inverted slip distribution center sliding deep changes along the depth direction. The results show In the conventional InSAR observation accuracy (30mm random noise) detection of deformation data of deep slip inversion is relatively low, and high precision (3mm random noise) InSAR detection of deformation data of deep slip inversion is relatively high, but slightly lower than the three-dimensional deformation of high precision GPS sufficient number (each Weishijia random 3mm the noise on the detectability) deep slip inversion, show that the geodetic deformation data accuracy compared to the dimensions of the influence of deep sliding detection ability is relatively large.

【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P315.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳強(qiáng);羅容;楊瑩輝;雍琦;;利用SAR影像配準(zhǔn)偏移量提取地表形變的方法與誤差分析[J];測(cè)繪學(xué)報(bào);2015年03期

2 楊瑩輝;陳強(qiáng);劉國祥;程海琴;劉麗瑤;胡植慶;;汶川地震同震形變場(chǎng)的GPS和InSAR鄰軌平滑校正與斷層滑移精化反演[J];地球物理學(xué)報(bào);2014年05期

3 YANG Ying-hui;CHEN Qiang;LIU Guo-xiang;Li Zhi-lin;CHENG Hai-qin;Liu Li-yao;;SAR Image Coregistration Using Fringe Definition Detection[J];Journal of Mountain Science;2013年05期

4 王永哲;朱建軍;李志偉;歐自強(qiáng);;利用PALSAR數(shù)據(jù)反演2010年玉樹地震斷層的同震滑動(dòng)分布[J];測(cè)繪學(xué)報(bào);2013年01期

5 陳強(qiáng);劉國祥;胡植慶;丁曉利;楊瑩輝;;GPS與PS-InSAR聯(lián)網(wǎng)監(jiān)測(cè)的臺(tái)灣屏東地區(qū)三維地表形變場(chǎng)[J];地球物理學(xué)報(bào);2012年10期

6 陳強(qiáng);楊瑩輝;劉國祥;程海琴;劉偉堂;;基于邊界探測(cè)的InSAR最小二乘整周相位解纏方法[J];測(cè)繪學(xué)報(bào);2012年03期

7 ;Slip model for the 2011 M_w 9.0 Sendai (Japan) earthquake and its M_w 7.9 aftershock derived from GPS data[J];Chinese Science Bulletin;2011年27期

8 刁法啟;熊熊;倪四道;鄭勇;葛粲;;利用GPS位移反演日本M_w9.0仙臺(tái)地震及M_w7.9強(qiáng)余震靜態(tài)位錯(cuò)模型[J];科學(xué)通報(bào);2011年24期

9 張國宏;屈春燕;宋小剛;汪馳升;單新建;胡植慶;;基于InSAR同震形變場(chǎng)反演汶川M_w7.9地震斷層滑動(dòng)分布[J];地球物理學(xué)報(bào);2010年02期

10 許才軍;劉洋;溫?fù)P茂;;利用GPS資料反演汶川Mw 7.9級(jí)地震滑動(dòng)分布[J];測(cè)繪學(xué)報(bào);2009年03期

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