摘要
高寒地区因为其冻土的特殊性质导致其经历开采后随着季节变化易导致上覆岩层破坏,因此,为准确预测高寒地区矿区上覆岩层的动态沉降的发展趋势,选取高寒矿区地表富水区作为研究对象,基于Weibull时间函数与分段函数的思路,结合矿区地表干涉合成孔径雷达(interferometric synthetic aperture radar, InSAR)监测数据建立高寒矿区地表动态沉降模型,讨论该函数模型的适用性。结果表明:高寒矿区冻胀地表沉降的3个阶段沉降量与时间的关系曲线与Weibull时间函数模型对应曲线相符。对Weibull时间函数的双参数取值进行探讨并优化,最终确定当初始、加速阶段的沉降运动参数λ取值2.5,沉降时间参数η取值0.068,稳定阶段λ取值2.3,η取值0.048时误差处于限差范围内,能较为准确地模拟预测地表的动态沉降过程。研究成果可为高寒矿区的防灾减灾及治理工程提供参考。
In high-cold regions,the susceptibility of frozen soil to damage in the overlying rock layer resulting from mining,a phenomenon influenced by seasonal variations was investigated.Focusing on surface water-enriched areas in high-cold mining zones as the subject of research,a dynamic subsidence model was formulated leveraging Weibull time function and segmented function approach in tandem with interferometric synthetic aperture radar(InSAR)monitoring data.The applicability of this function model was analyzed.The results show that the curve representing the three temporal stages of subsidence in high-cold mining areas corresponds to Weibull time function model's curve.Further optimization and discussion of Weibull time function's two parameters were undertaken.It is determined that maintaining settlement motion parameterλvalues at 2.5 and settlement time parameterηvalues at 0.068 during initial and acceleration stages,along withλat 2.3 andηat 0.048 during the stable phase,achieves an error margin within the acceptable range,thus enabling accurate simulation and prediction of the dynamic subsidence process.The research results can provide a reference for disaster prevention,mitigation,and management initiatives in high-cold mining areas.
作者
魏占玺
董建辉
谢飞鸿
马文礼
袁材栋
曹生鸿
冯霖
WEI Zhan-xi;DONG Jian-hui;XIE Fei-hong;MA Wen-li;YUAN Cai-dong;CAO Sheng-hong;FENG Lin(Qinghai Bureau of Environmental Geological Exploration,Xining 810007,China;Engineering Research Center of Catastrophic Prophylaxis and Treatment of Road&Traffic Safety of Ministry of Education,Changsha University of Science&Technology,Changsha 410114,China;School of Architecture and Civil Engineering,Chengdu University,Chengdu 610106,China;Qinghai 906 Project Survey and Design Institute,Xining 810007,China;Qinghai Geological Environmental Protection and Disaster Prevention Engineering Technology Research Center,Xining 810007,China;State Key Laboratory of Geological Disaster Prevention and Geological Environment Protection,Chengdu University of Technology,Chengdu 610059,China)
出处
《科学技术与工程》
北大核心
2024年第16期6667-6673,共7页
Science Technology and Engineering
基金
国家自然科学基金(41877273)
青海省“昆仑英才”领军人才计划。
