A Multi‐Scale Scratch Analysis Method for Quantitative Interpretation of Regional Gravity Fields

IF 1.6 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS 地球物理学报 Pub Date : 2015-01-01 DOI:10.1002/CJG2.20154
Yang Wen-cai, Sun Yan-yun, Hou Zunze, Yuan Chang-qing
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引用次数: 8

Abstract

This paper presents new systematic methods of regional gravity data processing that combine theories based on multi-scale wavelet analysis, spectral analysis of potential fields, geophysical inversion, and information extraction. We call this data processing system as the multi-scale scratch analysis for delineation of crustal structures, deformation belts and division of continental tectonic units. The multi-scale scratch analysis contains four modules; they are spectral analysis for division of density layers, decomposition of the field by using wavelet transformation and multi-scale analysis, depth estimation and density inversion of decomposed gravity anomalies, and scratch analysis. The basic principles, application techniques and examples for each module are explained. As a complicated and sophisticated process, the multi-discipline research on regional geophysics from geophysical investigation to tectonic results requires combination of new methods and techniques coming from different disciplines, to build a wide and thick theoretic base for supporting the multi-discipline research. The multi-scale scratch analysis combines supporting bases coming from applied mathematics, geophysics, and information science respectively.
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区域重力场定量解释的多尺度划痕分析方法
结合多尺度小波分析、位场谱分析、地球物理反演和信息提取等理论,提出了系统的区域重力数据处理新方法。我们将这种数据处理系统称为地壳构造圈定、变形带划分和大陆构造单元划分的多尺度划痕分析。多尺度划痕分析包含四个模块;分别是密度层划分的谱分析、小波变换与多尺度分析相结合的场分解、分解后的重力异常深度估计与密度反演、划痕分析。介绍了各个模块的基本原理、应用技术和示例。区域地球物理从地球物理调查到构造结果的多学科研究是一个复杂而复杂的过程,需要结合不同学科的新方法和新技术,为多学科研究奠定广泛而深厚的理论基础。多尺度划痕分析结合了应用数学、地球物理和信息科学的支撑基础。
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来源期刊
地球物理学报
地球物理学报 地学-地球化学与地球物理
CiteScore
3.40
自引率
28.60%
发文量
9449
审稿时长
7.5 months
期刊介绍:
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A novel sterol-binding protein reveals heterogeneous cholesterol distribution in neurite outgrowth and in late endosomes/lysosomes. Speech habits Nouns Verbs Paragraphs
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