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基于D-InSAR和概率积分法的矿区沉降预计 被引量:6

Mining Subsidence Prediction Based on D-InSAR and Probability Integral Method
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摘要 提出利用D-In SAR技术确定主要影响半径,结合GPS实测值,求取了概率积分法预计参数,预计值与实测值误差在0.25 m之内,实验证明该方法可更好地用于矿区地表形变的沉降预计。 D-In SAR technique is used to determine the main influencing radius, then combines GPS data, calculate the expected parameters by probability integral method to,estimated values and measured error within 0.25 m, it is better than expected curve which obtained by sinking curve. The experiment proved that the method can be used for predicting the subsidence of the surface deformation better.
出处 《煤炭技术》 CAS 北大核心 2015年第4期108-110,共3页 Coal Technology
基金 国家自然科学基金(41272389) 江苏高校优势学科建设工程资助项目(SZBF2011-6-B35) 江苏省基础研究计划(自然科学基金)青年基金项目(BK20130174)
关键词 D-INSAR GPS 概率积分法 沉降预计 D-InSAR GPS probability integral method subsidence prediction
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