塔子坪滑坡滑动实时位移监测预警及数据分析
发布时间：2018-11-21 07:20
【摘要】：2008年汶川大地震后,都江堰虹口乡红色村的居民长期受到塔子坪滑坡的威胁。由于滑坡灾害形成的突发性和不确定性,因此需要高精度和实时动态的监测预警;并需要可靠的数据处理、管理、分析,从而预判滑坡体的变形趋势。GPS-GPRS监测预警技术因其全天候、全时段、精度高、定位快、无需通视的GPS实时定位技术和无地域无距离限制实时动态的GPRS远程数据传输技术,现已广泛应用于滑坡表层位移监测;基于HCmonitor的实时差分解算实现了监测数据实时动态的自动化处理、储存和预警信息发布;再结合太阳能供电、DNS动态域名解析以及GIS空间数据管理等技术,建立了较为完善的塔子坪滑坡表层位移监测预警系统。通过对基准站的稳定性分析以及监测站采集的坐标数据的精度分析,确保了该监测系统的数据精度。在此基础通过采用监测数据的分期比对、滑坡体的变形趋势曲线图以及水平位移的空间统计3种分析方法,多方位、高精度的分析该滑坡体变形规律,分析结果表明塔子坪滑坡体已经处于并将长期处于稳定状态。通过滑坡稳定性检验验证了分析结果的正确性,同时证明了该数据分析模型对滑坡体状态的现阶段判断和未来预测预报的可行性。
[Abstract]:After the 2008 Wenchuan earthquake, residents of Hongkou Village in Dujiangyan were threatened by the Taziping landslide for a long time. Because of the sudden occurrence and uncertainty of landslide disaster, high precision and real-time dynamic monitoring and early warning are needed. And it needs reliable data processing, management and analysis, so as to predict the deformation trend of landslide body. GPS-GPRS monitoring and early warning technology, because of its all-weather, all-time, high precision, fast positioning, The GPS real-time positioning technology without general view and the GPRS remote data transmission technology without region and distance restriction are widely used in landslide surface displacement monitoring. The real-time differential decomposition algorithm based on HCmonitor realizes the real-time and dynamic automatic processing, storage and early warning information release of monitoring data. Combined with solar power supply, DNS dynamic domain name analysis and GIS spatial data management technology, a relatively perfect surface displacement monitoring and warning system of Taziping landslide is established. By analyzing the stability of the datum station and the precision of coordinate data collected by the monitoring station, the data accuracy of the monitoring system is ensured. On this basis, the deformation law of the landslide body is analyzed by using three kinds of analysis methods, such as the phase comparison of the monitoring data, the deformation trend curve of the landslide body and the spatial statistics of the horizontal displacement, so that the deformation law of the landslide body can be analyzed in various directions and with high precision. The results show that the Taziping landslide has been and will be in a stable state for a long time. The correctness of the analysis results is verified by the landslide stability test, and the feasibility of the data analysis model for the present stage judgment and future prediction of the landslide state is proved.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P642.22
本文编号：2346297
[Abstract]:After the 2008 Wenchuan earthquake, residents of Hongkou Village in Dujiangyan were threatened by the Taziping landslide for a long time. Because of the sudden occurrence and uncertainty of landslide disaster, high precision and real-time dynamic monitoring and early warning are needed. And it needs reliable data processing, management and analysis, so as to predict the deformation trend of landslide body. GPS-GPRS monitoring and early warning technology, because of its all-weather, all-time, high precision, fast positioning, The GPS real-time positioning technology without general view and the GPRS remote data transmission technology without region and distance restriction are widely used in landslide surface displacement monitoring. The real-time differential decomposition algorithm based on HCmonitor realizes the real-time and dynamic automatic processing, storage and early warning information release of monitoring data. Combined with solar power supply, DNS dynamic domain name analysis and GIS spatial data management technology, a relatively perfect surface displacement monitoring and warning system of Taziping landslide is established. By analyzing the stability of the datum station and the precision of coordinate data collected by the monitoring station, the data accuracy of the monitoring system is ensured. On this basis, the deformation law of the landslide body is analyzed by using three kinds of analysis methods, such as the phase comparison of the monitoring data, the deformation trend curve of the landslide body and the spatial statistics of the horizontal displacement, so that the deformation law of the landslide body can be analyzed in various directions and with high precision. The results show that the Taziping landslide has been and will be in a stable state for a long time. The correctness of the analysis results is verified by the landslide stability test, and the feasibility of the data analysis model for the present stage judgment and future prediction of the landslide state is proved.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P642.22
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