[1]徐双,李飞雪,刘爱利,等.典型黄土地貌高程空间变异性研究[J].水土保持研究,2014,21(05):1-6.
　XU Shuang,LI Fei-xue,LIU Ai-li,et al.Research on Spatial Variability of Elevation in Typical Loess Landform[J].Research of Soil and Water Conservation,2014,21(05):1-6.
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典型黄土地貌高程空间变异性研究

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 21 期数: 2014年05期 页码: 1-6 栏目: 出版日期: 2014-10-28
Title:
Research on Spatial Variability of Elevation in Typical Loess Landform
作者:
徐双1,2, 李飞雪1,2, 刘爱利3, 李满春1,2
1. 南京大学 江苏省地理信息技术重点实验室, 南京 210046;
2. 南京大学 地理与海洋科学学院, 南京 210046;
3. 南京信息工程大学 遥感学院, 南京 210044
Author(s):
XU Shuang1,2, LI Fei-xue1,2, LIU Ai-li3, LI Man-chun1,2
1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210046, China;
2. Department of Geographical Information Science, Nanjing University, Nanjing 210046, China;
3. Institute of Remote Scensing, Nanjing Univerity of Information Science & Technology, Nanjing 210044, China
关键词:
黄土高原; 空间变异; 变异函数; 高程
Keywords:
Loess Plateau; spatial variability; variogram; elevation
分类号:
P931.6
摘要:
黄土高原地形与地貌自南向北有序变化，构成其独特的地理景观。为了研究不同黄土地貌之间高程的空间变异特征，选择7个典型黄土地貌样区，以其30 m分辨率DEM数据为数据源，使用变异函数模型特征参数定量地反映样区地貌的个体特征与空间分布特征。研究表明：4 000 m为最能突出高程空间变异规律的窗口，并在此尺度下分析得出不同样区高程空间分布规律：地貌越复杂、破碎，高程空间自相关性范围越小；高程的空间变化幅度随地貌的发育不断减小；高程具有较强的空间相关性，其变化为各向异性。5个指标按样区顺序从淳化向北到神木，按大—小—大或小—大—小的顺序变化，与黄土高原由南到北的地形复杂程度变化相吻合。
Abstract:
The topography in the Loess Plateau changes orderly from south to north and this constructs the unique landscape of the Loess Plateau. Aiming to explore the spatial variations of the elevation among various loess landforms, we selected seven typical loess landforms as cases and applied variogram model to the loess landform analysis. DEM datasets with 30 meters resolution were used, and 5 quantified indices were calculated and analyzed to study the spatial distribution characteristics and individual features of the loess landform. Furthermore, we found that the best window size is 4 000 m for highlighting the spatial variation characteristics of the elevation based on the scale effects. We addressed that the elevation distributions in different sample areas were as follows: (1) the more complicated and fragmented the landform is, the lower the range of the autocorrelation tends to be; (2) the spatial change range tends to decline coupled with the evolution of landform; (3) the elevation in the research areas has strong autocorrelation with an anisotropic change; (4) five characteristic parameters of the variogram model change in the order big—small—large or small—big—small within the loess landforms from Chunhua to Shenmu, which is identical to the change of the loess landform from south to north.

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备注/Memo

收稿日期:2013-10-12;改回日期:2014-01-09。
基金项目:国家自然科学基金资助项目“基于主体学习的城市空间增长微动力模拟模型研究”（40901184）；教育部博士点基金项目“城市空间增长微动力模拟中的个体学习建模研究”（20090091120028）
作者简介:徐双(1989-),女,湖南湘阴人,在读硕士研究生,主要研究方向为GIS应用和土地利用规划。E-mail:xushuang0914@163.com
通讯作者:李飞雪(1983-),女,黑龙江齐齐哈尔人,副教授,主要研究方向为遥感和GIS应用。E-mail:njulifeixue@163.com

更新日期/Last Update: 1900-01-01