基于D-InSAR技术的矿区地表沉陷监测及其数据处理研究

发布时间：2018-01-11 13:41

本文关键词：基于D-InSAR技术的矿区地表沉陷监测及其数据处理研究　出处：《西安科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：煤炭资源开采在我国能源生产中占有及其重要的地位。研究由于地下开采而引起的地表沉陷规律，对于煤矿安全开采及减少因开采而造成的损害具有实际意义。本文主要利用合成孔径雷达差分干涉测量(D-InSAR)技术获取矿区地表沉陷数据，进而对沉陷数据进行可视化处理并提取剖面图，最后选取合理的沉陷预计方法求取矿区沉陷参数。首先介绍了D-InSAR技术的基本原理及其数据处理流程，并对影响D-InSAR监测精度的误差源进行了详细的分析，总结出D-InSAR技术用于矿区地表沉陷的优越性和局限性。其次以陕西彬长矿区为试验区域，通过对多期雷达遥感影像的差分干涉处理，获得了研究区差分干涉图及形变分布图，确定了地面沉陷区与地下开采之间的关系，并得出试验时段内的地表沉陷范围以及沉陷量的分布特征。为复杂地貌条件下开采沉陷的雷达遥感监测提供了参考，也为煤矿区开采沉陷的雷达遥感监测提供了技术途径。最后根据D-InSAR处理过程中生成的地理坐标数据，利用Arcgis的3D分析模块，在矿区工作面的主断面（观测线）生成剖面图，通过对剖面图的处理与分析得到矿区工作面的下沉变形曲线图及其下沉数据，根据下沉数据确定沉陷预计概率积分法的参数值，进而可以对矿区的整个工作面进行沉陷变形预计。
[Abstract]:The mining of coal resources plays an important role in China ' s energy production . It is of practical significance to study the surface subsidence caused by underground mining and to reduce the damage caused by mining . Firstly , the basic principle and data processing flow of D - SAR technology are introduced , and the error source influencing the precision of D - SAR is analyzed in detail , and the superiority and limitation of D - SAR technology in mining area ' s surface subsidence are summarized . In this paper , the difference interference pattern and the deformation distribution chart are obtained through the differential interference processing of the multi - stage radar remote sensing image , and the relationship between the ground subsidence area and the underground mining is obtained through the differential interference processing of the multi - stage radar remote sensing image , and the distribution characteristics of the surface subsidence range and the subsidence amount in the test period are obtained . and finally , according to the geographic coordinate data generated in the D - SAR processing procedure , a 3D analysis module of Arcgis is utilized to generate a cross section through the main section ( observation line ) of the working face of the mining area , and the settlement deformation curve and the settlement data of the mining face are obtained through the treatment and analysis of the cross section , and the parameter value of the predicted probability integral method of the subsidence is determined according to the sinking data , so that the whole working face of the mining area can be predicted .

【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：P225.1;P642.26

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