基于DEM的地形自相似性区域分异特征研究

项目名称： 基于DEM的地形自相似性区域分异特征研究

项目编号： No.41301422

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 天文学、地球科学

项目作者： 晏实江

作者单位： 安徽大学

项目金额： 25万元

中文摘要： 自相似性是复杂地表形态特征量化与分析的重要指标，也是地貌形态本质的体现，大量的研究已经发现并证明了这种自相似规律。然而，进一步的研究发现，地形自相似性随区域自然地理的条件不同而呈现出不同的区域分异规律。本课题在深入分析地表形态自相似特征及度量方法问题的基础上，利用数字高程模型作为基本数据源，采用频率域多尺度数字地形分析方法，研究地表形态自相似性的量化指标及其计算方法，分析地表形态自相似性的量化指标的计算条件、不确定性及其影响因子。课题以陕西省DEM为例，构建陕西省地表形态自相似性空间变异图，分析地表形态自相似规律的区域差异性及其主导影响因子，探究陕西省地表形态自相似性区域差异性的形成原因和内在机制。本课题是运用地学区域分析方法研究复杂地表形态自相似性及其空间变异规律的一次创新探索，可望进一步充实和完善复杂地表形态自组织规律研究的理论与方法，也是基于频率域数字地形分析方法的一次新的尝试。

中文关键词： 数字高程模型；数字地形分析；地形自相似性；GIS空间分析；

英文摘要： Self-similarity of terrain landscape is a key parameter in morphology Quantifying and analysis. It is a representation of natural regularity of terrain morphology. Increasing researches have found and proven this regularity. However, further investigations find that there exists apparent zonal differentiation law of terrain self-similarity due to variations of the physical environmental parameters. This project proposes a new framework of characterizing and analyzing self-similarity property of terrain morphology based on a thorough investigation of spatial pattern of landform morphology. A framework of Fourier domain based multi-scale digital terrain self-similarity characterizing method is proposed using the Digital Elevation Model (DEM) as source data. The method firstly investigates conditions, uncertainty and effect factors in the process of self-similarity characterizing. A representative test area is carefully chosen concerning with the diversity of landform morphologies in Northern China-namely Shannxi province. The method developed in this project is adopted to form a map of self-similarity in the test area. The the essential characteristics and machanism of spatial distributtion of terrain morphology self-similarity are explored by critical facters derived from correlation analysis between the terrain

英文关键词： Digital Elevation Model；digital terrain analysis；morphological self-similarity；GIS spatial analysis；