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基于GB-SAR区域形变数据的滑坡预警预报方法

Landslide Early Warning and Forecasting Method Based on GB-SAR Regional Deformation Data
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摘要 本文针对不同区域形变数据从利用率、偶然性、规律性等特点,进行了不等间距采样、均一化处理、特征分析,发现了不同范围拟合的数据曲线,预测滑坡时间不同,预报效果不同。应用结果表明,采用区域形变数据预警预报,不仅预测结果准确,也为矿山滑坡预警预报分析提供了新的解决方法。 According to the characteristics of the deformation data in different regions,such as availability,contingency.regularity and so on,the article conducts unequal spacing sampling,homogenization processing and feature analysis and finds that the data curves fitted in different ranges have different landslide prediction time and different prediction effect.The application results indicate that using regional deformation data for early warning and forecasting not only provides accurate prediction results,but also provides a new solution for an early warning and forecasting analysis of mine landslide.
作者 张宝才 刘玉溪 秦宏楠 徐茂林 Zhang Baocai;Liu Yuxi;Qin Hongnan;Xu Maolin(Dagushan Iron Mine Branch of Ansteel Mining Co.,Ltd.;School of Civil Engineering,University of Science and Technology Liaoning;China Academy of Safety Science and Technology,Anshan,Liaoning,114051)
出处 《冶金设备管理与维修》 2023年第3期14-19,共6页 Metallurgical Equipment Management and Maintenance
关键词 滑坡 特征形变 预警 预报 Landslide characteristics deformation early warning forecasting
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