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Geometry-preserving full-waveform tomography and its application in the Longmen Shan area

Science China Earth Sciences 2022年第3期65卷 437-448页

作者： Xingpeng DONG Dinghui YANG Hejun ZHU Yun CHEN Institute of Geology China Earthquake AdministrationBeijing 100029China Department of Mathematical Sciences Tsinghua UniversityBeijing 100084China Department of Geosciences The University of Texas at DallasDallas 75080USA State Key Laboratory ofLithospheric Evolution Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China

Classic L2-norm-based waveform tomography is often plagued by insurmountable cycle skipping problems;as a result,the iterative inversion falls into local minima,yielding erroneous images.According to the optimal transportation theory,we adopt a novel geometry-preserving misfit function based on the quadratic Wasserstein metric(W2-norm),which improves the stability and convexity of the inverse problem.Numerical experiments illustrate that W2-norm-based full-waveform tomography has a larger convergence radius and a faster convergence rate than the L2-norm and can effectively mitigate cycle skipping issues.We apply this method to the Longmen Shan area and obtain a reliable lithospheric velocity model.Our tomographic results indicate that the crystalline crust underlying the Sichuan Basin wedges into the crustal interior of the Tibetan Plateau,and the mid-lower crust of the eastern Tibetan Plateau is characterized by low shear-wave velocities,indicating that ductile crustal flow and strong interactions between terranes jointly dominate the uplift behavior of the Longmen Shan.Furthermore,we find that large earthquakes(e.g.,the Wenchuan and Lushan events)occur not only at the junction between high-and low-velocity regions but also in the transition zone from positive to negative radial anisotropy.These findings improve our understanding of the mechanism responsible for large earthquakes in this region.

关键词： Optimal transportation Geometry-preserving properties cycle skipping problem Longmen Shan Lower crustal flow model

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