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林业科学 ›› 2006, Vol. 42 ›› Issue (4): 1-6.doi: 10.11707/j.1001-7488.20060401

• 论文及研究报告 •    下一篇

湿地水文功能评价的多级模糊模式识别模型

袁军1,2,3 吕宪国1   

  1. 1.中国科学院东北地理与农业生态研究所,长春130021;2.国家林业局调查规划设计院北京100714;3.中国科学院研究生院北京100039
  • 收稿日期:2005-03-14 修回日期:1900-01-01 出版日期:2006-04-25 发布日期:2006-04-25

A Multi-Grade Fuzzy Pattern Recognition Model on Assessment of Wetland Hydrological Functions

Yuan Jun1,2,3,Lü Xianguo1   

  1. 1. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences Changchun 130021; 2. Academy of Forest Inventory and Planning, State Forestry Administration Beijing 100714;3. Graduate School of the Chinese Academy of Sciences Beijing 100039
  • Received:2005-03-14 Revised:1900-01-01 Online:2006-04-25 Published:2006-04-25

摘要:

运用模型对黑龙江洪河国家级保护区不同年份(1980、1988和2002年)的湿地水文功能进行评价,若把功能状态由优到劣分为1、2、3、4、5共5个级别,则该保护区湿地水文功能在1980年属2.296级,1988年属2.937级,2002年属3.586级,呈下降趋势。

关键词: 湿地水文功能评价, 多级模糊模式识别模型, 洪河国家级自然保护区

Abstract:

Several assessment ratings from highly satisfactory to very unsatisfactory are usually identified to describe hydrological functions of wetlands. The concept of multi-grade fuzzy pattern recognition model is to calculate the membership degrees of target wetlands to different assessment ratings and then to identify their characteristic values of assessment ratings so that the status of their hydrological functions can be assessed quantitatively. The established model has been applied to the assessment of wetland hydrological functions in Honghe National Nature Reserve in Sanjiang Plain, Heilongjiang Province in the year of 1980, 1988 and 2002 with a total of 5 ratings established from grade 1 (highly satisfactory) to grade 5 (very unsatisfactory). The calculation results showed that the ratings of this wetland was 2.296 in 1980, 2.937 in 1988 and 3.586 in 2002, indicating that hydrological functions of this wetland tend towards degradation.

Key words: assessment of wetland hydrological functions, multi-grade fuzzy pattern recognition model, Honghe National Nature Reserve