地理研究

地理研究 ›› 2008, Vol. 27 ›› Issue (3): 481-494.doi: 10.11821/yj2008030001

• 地球信息科学 •    下一篇

基于地理格网的新疆地貌区划方法与实现

柴慧霞1,2,3, 周成虎2, 陈 曦1, 程维明2, 欧 阳2, 袁烨城2   

  1. 1. 中国科学院新疆生态与地理研究所,新疆 乌鲁木齐 830011;
    2. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101;
    3. 中国科学院研究生院,北京 100039
  • 收稿日期:2007-09-21 修回日期:2008-03-12 出版日期:2008-05-25 发布日期:2008-05-25
  • 作者简介:柴慧霞(1980-),女,陕西宝鸡人,博士生。主要从事数字地貌遥感解译与GIS应用方面的研究。 E-mail:chaihx@lreis.ac.cn 通讯作者 :周成虎,教授,博士生导师。E-mail:zhouch@lreis.ac.cn
  • 基金资助:

    科技部科学数据平台项目"中国1 ∶ 100万数字地貌集成、更新与共享研究";中科院院士咨询项目"新疆生态建设与可持续发展战略研究"(KZCX1-YW-08-02,KZCX3-SW-347)

The new methodology of geomorphologic zonalization in Xinjiang based on geographical grid

CHAI Hui-xia1,2,3, ZHOU Cheng-hu2, CHEN Xi1, CHENG Wei-ming2, OU Yang2, YUAN Ye-cheng2   

  1. 1. Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
  • Received:2007-09-21 Revised:2008-03-12 Online:2008-05-25 Published:2008-05-25
  • Supported by:

    科技部科学数据平台项目"中国1 ∶ 100万数字地貌集成、更新与共享研究";中科院院士咨询项目"新疆生态建设与可持续发展战略研究"(KZCX1-YW-08-02,KZCX3-SW-347)

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被引次数

45 | 9

摘要：

利用遥感影像和Srtm-DEM等多源信息解译的新疆数字地貌图为基础数据源,运用地理格网方法对新疆地貌类型分布进行定性与定量分析,在此基础上,通过自下而上的合并与自上而下的划分相结合的系统聚类分析法,确定各级地貌区划单元及其区划界线,实现新疆地貌的智能化分区。将新疆地貌分为一级、二级和三级地貌区划。其中,一级为6个地貌区 ,二级为23个地貌区,三级为200个地貌区。研究结果表明,在所依据的地貌数据基础上,采用地理格网地貌区划方法,能够实现地貌区划的智能化分区。本研究中的地貌分区和区划等级合理,区划界线准确可靠,利用地理格网方法实现了区划的定量化和数字化。

关键词: 地貌, 地貌区划, 地理格网, 系统聚类

Abstract:

A methodology was designed for the geomorphologic zonalization plan based on Srtm- DEM and TM imagery with a resolution of 90m. The method was demonstrated for Xinjiang. According to interpretation and classification of geomorphologic types, research on the distribution of differently geomorphologic types was conducted using the method of geographical grid from qualitative and quantitative analysis. On this basis, the new method of geomorphologic zonalization was put forward via the system clustering analysis method, by combining the merger from bottom to top with the partition from top to bottom. Firstly, the slope, relief, and altitude value from Srtm- DEM in spatial analyst were calculated and reclassified. Through testing, the 30m relief was regarded as the critical relief value for plain and mountain. And the 7° slope was regarded as the critical slope value for plain and mountain. Combined with the old map of geomorphologic zonalization of Xinjiang, the study area was divided into six subareas as Class 1 geomorphologic zonalization through the merger-partition from top to bottom. Secondly,the data format of geomorphologic types was transformed.The geomorphologic types data was interpreted from Srtm-DEM and TM imagery, and its data format was vector. For constructing the model of geographical grid, vector data was transformed to raster. Thirdly,parameters of the system clustering analysis were calculated. Then, based on the geomorphologic types, the method of merger from bottom to top was used to implement the system clustering analysis. Finally, the new method of geomorphologic zonalization in Xinjiang was primarily realized based on Srtm- DEM, TM imagery and geographical grid. And the new plan of geomorphologic zonalization in Xinjiang was put forward. By the new plan, geomorphologic zonalization in Xinjiang includes three classes,i.e. ,macro geomorphology, medium geomorphology, and micro geomorphology. Class Ⅰ geomorphologic zonalization includes six geomorphologic subareas.Class Ⅱ geomorphologic zonalization includes 23 geomorphologic subareas.Class Ⅲ geomorphologic zonalization includes 200 geomorphologic subareas. This method can achieve the intelligentized partition of geomorphology by computer. After verification, based on the new method of geomorphologic zonalization, the precision of the boundaries of geomorphologic subareas in Xinjiang is very high.

Key words: geomorphology, geomorphologic zonalization, geographical grid, system clustering