基于地基合成孔径雷达数据的预警预报方法研究

Early Warning and Prediction Approach Based on Ground⁃Based SAR Data

针对地基合成孔径雷达数据振荡性高、波动性强、特征趋势不明显问题,提出了一种应用速度倒数指标对边坡变形进行预警预报的方法,采用错位相减、去限值数据处理方法,优化形变数据的质量,提高滑坡预警准确性、预报及时性。该方法在内蒙古某铁矿的应用结果表明,它能解决监测数据振荡性高、特征趋势弱、预报时效性差等问题,凸显临灾数据形变规律,是一种适用性很强的预警预报方法。

In view of the data of ground⁃based SAR presenting high oscillation and high fluctuation with less obvious characteristic trend,an approach for early warning and prediction of slope deformation by using velocity reciprocity was proposed,which adopts a data processing method of subtracting dislocations and deleting limits to optimize the quality of deformation data,thus the accuracy of early warning and timely prediction of landslide can be improved.The application of this approach in an iron mine in Inner Mongolia shows that not only those problems faced in the actual actuation can be solved,but also the data about disaster approaching can present obvious deformation rule.It is concluded that this early warming and prediction approach has a wide application.