| 位错模型的矿区地表沉降监测 |
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| 引用本文： | 姚未正,徐克科,刘吉鹏,邵振华,朱绪林.位错模型的矿区地表沉降监测[J].测绘科学,2021,46(3):32-39. |
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| 作者姓名： | 姚未正 徐克科 刘吉鹏 邵振华 朱绪林 |
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| 作者单位： | 河南理工大学测绘与国土信息工程学院,河南焦作454000 |
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| 基金项目： | 国家自然科学基金项目(41774041);河南省高等学校青年骨干教师培养计划项目(2016GGJS-041);中国博士后基金项目(2017M610954);河南理工大学博士基金项目(B2017-15)。 |
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| 摘 要： | 为获取连续的矿区地表沉降变形场,揭示沉陷规律,及时预计沉降范围与大小,保障生产,该文提出了以精密水准测量数据为约束的加权位错监测及预计模型。视开采工作面为简化位错几何模型,顾及工作面近远场观测数据的不同,根据计算模型值与水准测量实测值的残差确定不同的权比,利用最小二乘线性算法反演垂直方向上的张裂参数。由张裂参数正演获取连续的地表形变场。并以多期观测反演所得的一维张裂参数的变化序列拟合预计模型,预测地表未来形变场。研究表明,提出的加权位错预计模型能更好地监测并预计矿区开采后的地表沉降变化,为采矿安全生产提供了依据。
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| 关 键 词： | 开采沉陷 位错模型 参数反演 沉降监测 加权 |
Surface subsidence monitoring in mining area based on dislocation model |
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| YAO Weizheng,XU Keke,LIU Jipeng,SHAO Zhenhua,ZHU Xulin.Surface subsidence monitoring in mining area based on dislocation model[J].Science of Surveying and Mapping,2021,46(3):32-39. |
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| Authors: | YAO Weizheng XU Keke LIU Jipeng SHAO Zhenhua ZHU Xulin |
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| Institution: | (College of Surveying and Mapping and Land Information Engineering,Henan Polytechnic University,Jiaozuo,Henan 454000,China) |
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| Abstract: | In order to obtain the continuous surface subsidence deformation field in mining area, reveal the subsidence law, predict the settlement range and size in time, and guarantee production, this paper proposed a weighted dislocation monitoring and prediction model constrained by precise leveling data. Considering the mining working face as a simplified geometric model of dislocation, and the difference of observed data between near field and far field of the working face, different weights were determined according to calculate the residual error between the model value and leveling measured values. Using the least squares linear algorithm to invert the fracture parameters in vertical direction. The continuous surface deformation field was obtained from the forward modeling of the tensile crack parameters. Fitting the prediction model with a sequence of one-dimensional fracture parameters which was obtained from multiple inversion, this prediction model was used to predict the future deformation field of the surface.The results showed that the weighted dislocation prediction model could better monitor and predict the surface subsidence change after mining,which provides a basis for mining safety. |
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| Keywords: | mining subsidence dislocation model parameter inversion settlement monitoring weighted |
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