为建立地表移动的概率积分法计算参数与地质采矿条件之间的数学关系,以我国主要矿区的大量地表移动观测站实测数据为原始数据,采用逐步回归的方法建立了开采沉陷概率积分法参数与地质采矿条件之间的统计回归公式。采用中误差和威尔莫特...为建立地表移动的概率积分法计算参数与地质采矿条件之间的数学关系,以我国主要矿区的大量地表移动观测站实测数据为原始数据,采用逐步回归的方法建立了开采沉陷概率积分法参数与地质采矿条件之间的统计回归公式。采用中误差和威尔莫特一致性指数(WIA,Willmott’sIndex of Agreement)对回归公式的精度及预测能力进行评定,计算结果表明所建立的回归公式误差较小,各参数回归公式均具有较好的泛化性能。为进一步验证所建立的回归公式的正确性,以4个测试样本数据进行计算,计算结果与实测结果吻合。最后,以淮北某矿地表移动实测数据为例,计算结果表明采用统计规律所计算的概率积分法参数进行开采沉陷预计计算可以得到与实测相符的地表移动变形数据。研究成果为缺少实测资料矿区进行开采沉陷预测确定概率积分法参数提供了科学依据。展开更多
Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar （D-InSAR） alone, a new algorithm was proposed to extract large deformation mining ...Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar （D-InSAR） alone, a new algorithm was proposed to extract large deformation mining subsidence using D-InSAR technique and probability integral method. The details of the algorithm are as follows：the control points set, containing correct phase unwrapping points on the subsidence basin edge generated by D-InSAR and several observation points （near the maximum subsidence and inflection points）, was established at first; genetic algorithm （GA） was then used to optimize the parameters of probability integral method; at last, the surface subsidence was deduced according to the optimum parameters. The results of the experiment in Huaibei mining area, China, show that the presented method can generate the correct mining subsidence basin with a few surface observations, and the relative error of maximum subsidence point is about 8.3%, which is much better than that of conventional D-InSAR （relative error is 68.0%）.展开更多
文摘为建立地表移动的概率积分法计算参数与地质采矿条件之间的数学关系,以我国主要矿区的大量地表移动观测站实测数据为原始数据,采用逐步回归的方法建立了开采沉陷概率积分法参数与地质采矿条件之间的统计回归公式。采用中误差和威尔莫特一致性指数(WIA,Willmott’sIndex of Agreement)对回归公式的精度及预测能力进行评定,计算结果表明所建立的回归公式误差较小,各参数回归公式均具有较好的泛化性能。为进一步验证所建立的回归公式的正确性,以4个测试样本数据进行计算,计算结果与实测结果吻合。最后,以淮北某矿地表移动实测数据为例,计算结果表明采用统计规律所计算的概率积分法参数进行开采沉陷预计计算可以得到与实测相符的地表移动变形数据。研究成果为缺少实测资料矿区进行开采沉陷预测确定概率积分法参数提供了科学依据。
基金Project (BK20130174) supported by the Basic Research Project of Jiangsu Province (Natural Science Foundation) Project (1101109C) supported by Jiangsu Planned Projects for Postdoctoral Research Funds,China+1 种基金Project (201325) supported by the Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping,ChinaProject (SZBF2011-6-B35) supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions,China
文摘Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar （D-InSAR） alone, a new algorithm was proposed to extract large deformation mining subsidence using D-InSAR technique and probability integral method. The details of the algorithm are as follows：the control points set, containing correct phase unwrapping points on the subsidence basin edge generated by D-InSAR and several observation points （near the maximum subsidence and inflection points）, was established at first; genetic algorithm （GA） was then used to optimize the parameters of probability integral method; at last, the surface subsidence was deduced according to the optimum parameters. The results of the experiment in Huaibei mining area, China, show that the presented method can generate the correct mining subsidence basin with a few surface observations, and the relative error of maximum subsidence point is about 8.3%, which is much better than that of conventional D-InSAR （relative error is 68.0%）.
