研究方法

基于GIS的北方典型区水资源承载力研究——以北京市通州区为例

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  • 1. 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室, 北京 100101;
    2. 中国农业大学水利与土木工程学院, 北京 100083;
    3. 北京市水利科学研究所, 北京 100044;
    4. 中国科学院研究生院, 北京 100049;
    5. 河北省廊坊市第一中学, 河北廊坊 065000
潘兴瑶(1980-),男,河北邢台人,博士生,主要从事水资源研究。E-mail:041087@163.com

收稿日期: 2006-11-30

  修回日期: 2007-01-08

  网络出版日期: 2007-08-25

基金资助

北京市重大软课题项目“北京市郊区节水战略研究”;国家自然科学基金项目“具有动力学自忆性和人类活动影响反馈机制的分布式水循环模拟研究”(40671035).

Applied Study on Evaluation Method for Water Resources Carrying Capacity Based on GIS Techniques in Typical North District

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  • 1. Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101, China;
    2. College of Water Resource and Civil Engineering,China Agricultural University,Beijing 100083,China;
    3. Beijing Hydraulic Research Institute,Beijing 100044,China;
    4. Graduate University of Chinese Academy of Sciences,Beijing 100049,China;
    5. No.1 Middle School of Langfang City, Langfang 065000, China

Received date: 2006-11-30

  Revised date: 2007-01-08

  Online published: 2007-08-25

摘要

水资源承载力研究是保证水资源可持续利用,寻求区域可持续发展的重要依据。论文以北京市通州区为例,根据研究区特点,建立了水资源承载力评价指标体系,对各评价指标的可承载极限临界值进行了界定;利用GIS技术的网格剖分法建立了研究区水资源承载力指标数据库;提出了基于GIS技术和模糊综合评判模型的区域水资源承载力综合评价模型,建立了水资源承载力评价数据库,实现区域内水资源承载力的空间差异分析。结果表明,通州区内部水资源承载力与区域发展水平的差异一致,由城区到远郊,水资源承载力呈逐渐减弱趋势,伴随城区不断发展,影响范围的扩大,预测通州区到2020年水资源承载力整体处于一个较高水平。

本文引用格式

潘兴瑶, 夏军, 李法虎, 刘洪禄, 马明, 王翠哲, 李荣新 . 基于GIS的北方典型区水资源承载力研究——以北京市通州区为例[J]. 自然资源学报, 2007 , 22(4) : 664 -671 . DOI: 10.11849/zrzyxb.2007.04.016

Abstract

As a principal index of water resources security,the measurement of water resources carrying Capacity is an important guidance to the sustainable regional development.Taking Tongzhou District as an example,this paper establishes the evaluation index system of water resources carrying capacity based on qualitative analysis,and confirms the marginal values of each index in the critical situations.In addition,grid anatomy method of GIS was applied to construct a dataset about the index system to get objective and correct appraisal of water resources carrying capacity.Water resources carrying capacity dynamic tendency within the region was also studied by overload function of GIS and fuzzy comprehensive evaluation model.The results show the water resources carrying capacity decreases rapidly with the increase of distance from the downtown to the rural areas.Moreover,it can be predicted that the water resources carrying capacity will be high on the whole in 2020.
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