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本书通过区域地质调查明确了测区地质构造格架和地层发育状况及各类地质体的分布情况.合理划分了测区地质构造单元和地层区划.结合岩性, 古生物, 沉积旋回, 接触关系等对各时代地层单元开展了岩石地层, 生物地层, 年代地层, 层序地层和沉积相研究, 查明了区域地层岩性, 岩相, 厚度的变化.立了新的地层层序和地层格架, 恢复了演化历史, 探讨了演化模式.对测区生态, 环境, 土壤, 水系作了大量深入细致的调查和研究工作, 完成了植被生态图, 土壤分布图和水系图.

"汉语动词语法化的多视角研究"的主要内容包括 : 第一章绪论; 第二章动词语法化的认知, 语用和语义基础; 第三章动词语法化的句法阐释; 第四章汉语动词语法化的致变因素; 第五章动词语法化对汉语语法系统的影响; 第六章动词语法化的典型个案考察.

• Seismic Imaging, Fault Damage and Heal: An Overview; References; 1 Applications of Full-Wave Seismic Data Assimilation (FWSDA); 1.1 Numerical Solutions of Seismic Wave Equations; 1.1.1 Stable Finite-Difference Solutions on Non-Uniform, Discontinuous Meshes; 1.1.2 Accelerating Finite-Difference Methods Using GPUs; 1.1.3 The ADER-DG Method; 1.1.4 Accelerating the ADER-DG Method Using GPUs; 1.2 Automating the Waveform Selection Process for FWSDA; 1.2.1 Seismogram Segmentation; 1.2.2 Waveform Selection; 1.2.3 Misfit Measurement Selection.

• 1.2.4 Fréchet Kernels for Waveforms Selected in the Wavelet Domain1.3 Application of FWSDA in Southern California; 1.3.1 Waveform Selection on Ambient-Noise Green's Functions; 1.3.2 Waveform Selection on Earthquake Recordings; 1.3.3 Inversion Results after 18 times Adjoint Iteration; 1.4 Summary and Discussion; References; 2 Wavefield Representation, Propagation and Imaging Using Localized Waves: Beamlet, Curvelet and Dreamlet; 2.1 Introduction; 2.2 Phase-Space Localization and Wavelet Transform; 2.2.1 Time-Frequency Localization; 2.2.2 Time-Scale Localization.

• 2.2.3 Extension and Generalization of Time-Frequency, Time-Scale Localizations2.3 Localized Wave Propagators: From Beam to Beamlet; 2.3.1 Frame Beamlets and Orthonormal Beamlets; 2.3.2 Beamlet Spreading, Scattering and Wave Propagation in the Beamlet Domain; 2.3.3 Beam Propagation in Smooth Media with High-Frequency Asymptotic Solutions; 2.3.4 Beamlet Propagation in Heterogeneous Media by the Local Perturbation Approach; 2.4 Curvelet and Wave Propagation; 2.4.1 Curvelet and Its Generalization; 2.4.2 Fast Digital Transforms for Curvelets and Wave Atoms.

• 2.4.3 Wave Propagation in Curvelet Domain and the Application to Seismic Imaging2.5 Wave Packet: Dreamlets and Gaussian Packets; 2.5.1 Physical Wavelet and Wave-Packets; 2.5.2 Dreamlet as a Type of Physical Wavelet; 2.5.3 Seismic Data Decomposition and Imaging/Migration Using Dreamlets; 2.5.4 Gaussian Packet Migration and Paraxial Approximation of Dreamlet; 2.6 Conclusions; Acknowledgement; References; 3 Two-way Coupling of Solid-fluid with Discrete Element Model and Lattice Boltzmann Model; 3.1 Introduction; 3.2 Discrete Element Method and the ESyS-Particle Code.

• 3.2.1 A Brief Introduction to the Open Source DEM Code: The ESyS-Particle3.2.2 The Basic Equations; 3.2.3 Contact Laws and Particle Interaction; 3.2.4 Fracture Criterion; 3.3 Lattice Boltzmann Method; 3.3.1 The Basic Principle of LBM; 3.3.2 Boundary Conditions of LBM; 3.3.3 A Brief Introduction to the Open Source LBM Code: OpenLB; 3.4 Two-way Coupling of DEM and LBM; 3.4.1 Moving Boundary Conditions; 3.4.2 Curved Boundary Conditions; 3.4.3 Implementation of Darcy Flow in LBM; 3.5 Preliminary Results; 3.5.1 Bonded Particles Flow in Fluid; 3.5.2 Fluid Flow in the Fractures.

Presenting current approaches in observational and computational seismology, this book introduces advanced methods and techniques by means of case studies in earthquake research. Among others these include solving inverse seismologic problems, tomography for structure imaging, characterizing fault damage and healing, seismicity analysis for determining pre-shock moment release, and coupled solid-fluid models.
(source: Nielsen Book Data)

• Seismic Imaging, Fault Damage and Heal: An Overview; References; 1 Applications of Full-Wave Seismic Data Assimilation (FWSDA); 1.1 Numerical Solutions of Seismic Wave Equations; 1.1.1 Stable Finite-Difference Solutions on Non-Uniform, Discontinuous Meshes; 1.1.2 Accelerating Finite-Difference Methods Using GPUs; 1.1.3 The ADER-DG Method; 1.1.4 Accelerating the ADER-DG Method Using GPUs; 1.2 Automating the Waveform Selection Process for FWSDA; 1.2.1 Seismogram Segmentation; 1.2.2 Waveform Selection; 1.2.3 Misfit Measurement Selection.

• 1.2.4 Fréchet Kernels for Waveforms Selected in the Wavelet Domain1.3 Application of FWSDA in Southern California; 1.3.1 Waveform Selection on Ambient-Noise Green's Functions; 1.3.2 Waveform Selection on Earthquake Recordings; 1.3.3 Inversion Results after 18 times Adjoint Iteration; 1.4 Summary and Discussion; References; 2 Wavefield Representation, Propagation and Imaging Using Localized Waves: Beamlet, Curvelet and Dreamlet; 2.1 Introduction; 2.2 Phase-Space Localization and Wavelet Transform; 2.2.1 Time-Frequency Localization; 2.2.2 Time-Scale Localization.

• 2.2.3 Extension and Generalization of Time-Frequency, Time-Scale Localizations2.3 Localized Wave Propagators: From Beam to Beamlet; 2.3.1 Frame Beamlets and Orthonormal Beamlets; 2.3.2 Beamlet Spreading, Scattering and Wave Propagation in the Beamlet Domain; 2.3.3 Beam Propagation in Smooth Media with High-Frequency Asymptotic Solutions; 2.3.4 Beamlet Propagation in Heterogeneous Media by the Local Perturbation Approach; 2.4 Curvelet and Wave Propagation; 2.4.1 Curvelet and Its Generalization; 2.4.2 Fast Digital Transforms for Curvelets and Wave Atoms.

• 2.4.3 Wave Propagation in Curvelet Domain and the Application to Seismic Imaging2.5 Wave Packet: Dreamlets and Gaussian Packets; 2.5.1 Physical Wavelet and Wave-Packets; 2.5.2 Dreamlet as a Type of Physical Wavelet; 2.5.3 Seismic Data Decomposition and Imaging/Migration Using Dreamlets; 2.5.4 Gaussian Packet Migration and Paraxial Approximation of Dreamlet; 2.6 Conclusions; Acknowledgement; References; 3 Two-way Coupling of Solid-fluid with Discrete Element Model and Lattice Boltzmann Model; 3.1 Introduction; 3.2 Discrete Element Method and the ESyS-Particle Code.

• 3.2.1 A Brief Introduction to the Open Source DEM Code: The ESyS-Particle3.2.2 The Basic Equations; 3.2.3 Contact Laws and Particle Interaction; 3.2.4 Fracture Criterion; 3.3 Lattice Boltzmann Method; 3.3.1 The Basic Principle of LBM; 3.3.2 Boundary Conditions of LBM; 3.3.3 A Brief Introduction to the Open Source LBM Code: OpenLB; 3.4 Two-way Coupling of DEM and LBM; 3.4.1 Moving Boundary Conditions; 3.4.2 Curved Boundary Conditions; 3.4.3 Implementation of Darcy Flow in LBM; 3.5 Preliminary Results; 3.5.1 Bonded Particles Flow in Fluid; 3.5.2 Fluid Flow in the Fractures.

Presenting current approaches in observational and computational seismology, this book introduces advanced methods and techniques by means of case studies in earthquake research. Among others these include solving inverse seismologic problems, tomography for structure imaging, characterizing fault damage and healing, seismicity analysis for determining pre-shock moment release, and coupled solid-fluid models.
(source: Nielsen Book Data)