基于Knothe时间函数和InSAR的煤矿区动态沉陷预计研究  

Study on Dynamic Subsidence Prediction of Mining Area Base on Knothe Time Function and InSAR

作　　者：张书建[1,2] 汪云甲[1,2] 范忻[1,2] 

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221116 [2]中国矿业大学国土环境与灾害监测国家测绘局重点实验室,江苏徐州221116

出　　处：《煤炭工程》2012年第4期91-94,共4页Coal Engineering

基　　金：国家公益性行业专项基金(200809128);国家自然科学基金项目(50774080)

摘　　要：以钱营孜矿区的3212工作面为研究对象,采用基于Knothe时间函数的动态沉陷预计模型进行开采沉陷动态预计。计算了不同时间、不同位置的点的动态下沉值,分别与水准测量成果和D-InSAR监测结果进行了对比分析。实验表明,基于Knothe时间函数的动态沉陷预计模型所得到的结果符合开采沉陷导致的地表沉陷规律;其结果与水准测量成果和D-InSAR监测结果吻合;最大误差不超过0.2m,能够满足动态预计的要求。Taking No.3212 coal mining face in Qianyingzi Mining Area as a study object,a dynamic subsidence prediction model base on the Knothe time function was applied to the dynamic prediction of the mining subsidence.The dynamic subsidence values at different time and different locations were calculated and a comparison analysis was conducted with the achievements of the level measurements and the D-InSAR monitoring and measuring results.The experiment showed that base on the Knothe time function,the results obtained from the dynamic subsidence prediction model could meet the surface ground subsidence law caused by the mining subsidence and the results could meet the achievements of the level measurements and the D-InSAR monitoring and measuring results with a max error not over 0.2m and could meet the requirements of the dynamic prediction.

关 键 词：Knothe时间函数 时间因素影响系数 动态沉陷预计 合成孔径雷达差分干涉测量 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] TD82[自动化与计算机技术—控制科学与工程]