江西及邻区重力异常及莫霍面起伏特征

1.江西省地震局,南昌 330096;2.河北省地震灾害防御与风险评价重点实验室,河北 三河 065201

江西及邻区;重力异常;小波分解;莫霍面

Gravity Anomaly and Moho Fluctuation Characteristics in Jiangxi Province and Its Adjacent Areas
GUO Yufan1,2,XIAO Jian1,XU Zhishan1,WU Weiying1,WANG Ganjiao1,TANG Tingting1

1.Jiangxi Earthquake Agency , Nanchang 330096, China;2.Hebei Key Laboratory of Earthquake Disaster Prevention and Risk Assessment , Sanhe 065201, China

Jiangxi Province and its adjacent area;Gravity anomaly;Wavelet decomposition;Moho

DOI: 10.13512/j.hndz.2025.1.04

备注

研究江西及邻区重力异常及莫霍面起伏特征,对该区矿产资源探查和开发具有重要意义。基于江西及邻区布格重力异常数据,利用小波多尺度分解法得到了布格重力异常小波分解细节场和逼近场。在此基础上,使用Parker-Oldenburg迭代反演法获得了莫霍面深度,结果表明:由西北至东南,布格重力异常及其小波分解逼近场呈现中值—低值—高值的变化特征,分别对应扬子地块、华夏地块和台湾海峡。根据布格重力异常及其小波分解细节场、逼近场可以较容易识别出大别造山带和台湾海峡;莫霍面深度在29~36km之间变化,由西北至东南呈现中等—较深—较浅三级变化特征,分别对应扬子地块、华夏地块和台湾海峡。
The study of gravity anomaly and Moho fluctuation characteristics in Jiangxi Province and its adjacent areas is of great significance to the exploration and development of mineral resources in this area. In this study, based on the Bouguer gravity anomaly data in Jiangxi Province and its adjacent areas, the wavelet decomposition detail field and approximation field of Bouguer gravity anomaly were obtained by using the wavelet multi-scale decomposition method. On this basis, the Moho depth was obtained by using the Parker-Oldenburg iterative inversion method. The results show that from northwest to southeast, the Bouguer gravity anomaly and its wavelet approximation field present the variation characteristics of median-low-high value, corresponding to the Yangtze Block, the Cathaysia Block, and the Taiwan Strait, respectively. The Dabie orogenic belt and the Taiwan Strait can be easily identified according to the Bouguer gravity anomaly and its wavelet detail field and approximation field. The Moho depth varies between 29 and 36 km,showing three levels of moderate-deep-shallow variation from northwest to southeast, corresponding to the Yangtze Block, the Cathaysia Block, and the Taiwan Strait, respectively.
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