基于遥感、重磁多源信息研究茅山断裂带构造特征*

(1.中国地震局地壳应力研究所(地壳动力学重点实验室),北京 100085; 2.山东科技大学,山东 青岛266590; 3.山东省地震工程研究院,山东 济南250021)

遥感影像; 茅山断裂带; 布格重力异常; 航磁异常图; 小波多尺度分解

Tectonic Characteristics of Maoshan Fault Zone Derived from Remote Sensing and Gravity and Magnetic Multi-source Information
FU Ping-jie1,2,ZHANG Jing-fa1,WANG Xin1,GAO Min1,2,WANG Dong-lei3,LIU Jun3

(1. Key laboratory of Crustal Dynamics,Institute of Crustal Dynamics,CEA,Beijing 100085,China)(2. Shandong University of Science and Technology,Qingdao 266590,Shandong,China)(3. Shandong Institute of Earthquake Engineering,Jinan 250021,Shandong,China)

remote sensing images; Maoshan Fault Zone; bouguer gravity anomaly; aeromagnetic anomaly; wavelet multi-scale decomposition

备注

通过遥感影像数据判读了茅山断裂带构造地貌特征,利用小波多尺度分解方法研究了茅山地区的布格重力异常,在进行场源分离的基础上深入研究了茅山断裂带地壳深部的空间展布特征。通过重力异常分析可知,茅山断裂带在中地壳以上由茅西断裂、茅东断裂以及茅山断块3部分组成,随着地壳深度的增加逐渐合为一条断裂带,茅山断裂带沿重力高异常与重力低异常之间的重力梯级带分布; 航磁异常显示,地壳浅部火山喷发物质侵入断裂,且地壳深部同时具有岩浆侵入断裂现象; 通过重力异常小波细节图进一步证明了溧阳地震与茅山断裂带和南渡—金坛断裂带之间的联系。

Based on the remote sensing images data,we interpreted the tectonic geomorphic feature of earth surface of Maoshan Fault Zone. Then we studied the bouguer gravity anomaly at Maoshan area by use of the method of wavelet multi-scale decomposition,and deeply analyzed the spatial distribution of the deep crust of the Maoshan Fault Zone on the basis of separation of field and source. The analyze result of bouguer gravity anomaly shows that Maoshan fault zone is composed of Maoxi fracture,Maodong fracture and Maoshan fault block above the middle crust,and they combine to one fracture with the increasing of the depth of the crust. The Maoshan Fault Zone distributes along the gravity gradient zone between the high and low gravity anomalies. The aeromagnetic anomalies shows that volcanic eruption material invaded the fault in the shallow of crust and the magma simultaneously invaded the fault in the deep of crust at the same time. We further prove the connection of Liyang earthquake and Maoshan Fault zone and Nandu-Jintan Fault Zone through gravity anomaly wavelet detail image.