基于TVDI指数的隐伏断层识别

Identification of buried fault based on TVDI index and land surface temperature inversion

隐伏断层受第四系残积物富集及土壤覆盖层影响,光学遥感方法无法直接识别,骊山山前断裂地处秦岭北麓,受第四系及植被等覆盖严重,因此探讨应用热红外遥感中地温反演方法识别提取隐伏断裂。活动断裂经过区域表现为陆地表面温度升高、植被覆盖率增高、土壤湿度增大等特征。基于TVDI指数计算方法,获得TVDI影像,结合上述3个特征,对结果影像进行分析得出影像中的相对低值区即为负异常区,间接指示断层存在的可能性。综合上述方法,分析研究区域反演结果影像,秦岭北麓区域存在较为明显的相对低值区域(负异常区)。通过野外验证该线状相对低值区域(负异常区)与骊山山前断裂走向重合。结果表明TVDI指数方法在隐伏断层识别提取中具有良好的应用价值。

The buried fault cannot be directly identified by optical remote sensing methods because of the influence of Quaternary residuals and soil cover. The frontal faults of the Lishan Mountain are located in the northern foot of the Qinling Mountains and are covered by the Quaternary and vegetation. Therefore, the application of geothermal inversion method in thermal infrared remote sensing for identifying and extracting buried fault is discussed. The active faults are characterized by the increase of land surface temperature, vegetation coverage and soil moisture by this method. Based on the TVDI index calculation method, the TVDI image was obtained. Combined with the above three characteristics, it was found that the relative low value region in the image is the negative abnormal region, which indirectly indicates the possibility of fault existence. Based on the above methods, the regional inversion results were analyzed and studied. There is a relatively low-value area(negative anomaly area) in the northern foot of the Qinling Mountains. By field validation, the relatively low-value area(negative anomaly area) coincides with the frontal faults of the Lishan Mountain. The results show that the TVDI index method has a good application value in the identification of buried faults.