地理科学进展

地理科学进展 ›› 2004, Vol. 23 ›› Issue (6): 1-9.doi: 10.11820/dlkxjz.2004.06.001

• 综合自然地理学 •    下一篇

中尺度对地观测系统支持下中国综合自然 地理区划新方法论研究

刘 闯   

  1. 中国科学院地理科学与资源研究所全球变化信息研究中心, 北京 100101
  • 收稿日期:2004-09-01 修回日期:2004-11-01 出版日期:2004-11-25 发布日期:2004-11-25
  • 作者简介:刘闯(1948－),女,中科院地理科学与资源研究所全球变化信息研究中心主任、研究员,研究方向为地球数据科学,全球环境变化。E-mail: lchuang@igsnrr.ac.cn
  • 基金资助:

    国家科技基础条件平台建设专项重点项目(2003DKA1T006)。

A New Methodology for Comprehensive Physical Regionalization of China Supported by EOS in the Moderate Scale

LIU Chuang   

  1. Global Change Information and Research Center, Institute of Geography and Natural Resources, Chinese Academy of Sciences, Beijing, 100101
  • Received:2004-09-01 Revised:2004-11-01 Online:2004-11-25 Published:2004-11-25

PDF (PC)

赞

被引次数

29 | 16

摘要：

在中国地理学发展史上，最值得纪念的成就之一是我国地理学家对中国综合自然地理环境采用区划的方法进行的研究。我国首次发布完整的综合自然地理区划方案至今已有50年历史。在这期间，产生了7个中国综合自然地理区划主要方案，建立了经典的区划方法论。近年来，中国生态区划研究、全球变化区域响应与适应研究对发展我国综合自然地理区划方法论做出了特殊的贡献。在全球和中国对地观测系统数据加速发展的支持下，本文对比了新形势下区划目的、内容、途径、范围、原则、依据、指标、等级系统、界线、研究单元、数据信息、分析计算、基础设施与研究环境条件发生的新变化，认为在中国未来20年发展的过程中，中国综合自然地理区划的目的将由主要为农业生产服务转向资源、环境、生态综合考虑，为可持续发展服务。全球对地观测系统，特别是中尺度对地观测系统数据资源和相关技术的发展和广泛应用，必将对以信息化、数字化为时代特点的中国综合自然地理区划新方法论的产生和体系的建立起到划时代意义的促进作用。

关键词: 对地观测系统, 方法论, 中国综合自然地理区划

Abstract:

One of the most outstanding achievements in Chinese history of geography studies during the 20th century is that from the comprehensive physical geographical regionalization. There are seven specific themes of the Comprehensive Physical Geographical Regionalization of China at least during the last half century, while the very beginning one was published by Professor LIN Chao from Peking University in 1954. China is a huge country with great pressure on agriculture, natural resources and environment. How to make the regional development more efficiently, the way of Comprehensive Physical Geographical Regionalization could be useful method to help scientists and decision makers to identify the differential features in the regional scale. From 1958~1983, five different themes had been developed for supporting agriculture development in China. Prof. HUANG Bingwei from Institute of Geography, Chinese Academy of Sciences led the activities, Prof. REN Mei’er from Nanking University, Prof. HOU Xueyu, ZHAO Songqiao from Chinese Academy of Sciences, Prof. XI Chengfan from Ministry of Agriculture of China proposed themes with revisions from different opinions. Even so, the hierarchical approach and the top-down methodology make them more successful in geography teaching, agriculture development and food support. 　　With the economic development and the population increased rapidly during the last 20 years in China, more and more pressures come on ecosystems and environment. It is recognized that China has to deal with the challenges from the regional development and adaptation of the global environmental change. At the same time period, the earth observation systems and related moderate scale data has been accumulated, these are valuable information for monitoring environment change. About 280TB data from EOS are archived in China, and only a very small part of them are used in the Comprehensive Physical Geographical Regionalization of China. A new methodology supported by the EOS data in moderate scale for the Comprehensive Physical Geographical Regionalization of China is discussed and propose in this paper, including the methods of data capturing, data mining with computational models and the data sharing issues ad well. A new theme of the Comprehensive Physical Geographical Regionalization of China for the natural resources, environment and sustainable development with the methods from both of top-down and bottom-up ways has been incubated. 　　This paper has been presented in the Anural Conference of China National Committee, for IGBP, 2004, Beijing, and I would like to present it to Professor LIN Chao also for celebrating the 50th anniversary of the first theme of Comprehensive Physical Geographical Regionalization of China, which was created by him.

Key words: comprehensive physical regionalization of China, EOS, methodology