湿地水文功能评价的多级模糊模式识别模型  

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

作　　者：袁军[1] 吕宪国[1] 

机构地区：[1]中国科学院东北地理与农业生态研究所

出　　处：《林业科学》2006年第4期1-6,共6页Scientia Silvae Sinicae

基　　金：中国科学院东北地理与农业生态研究所学科前沿领域项目(KZCX3-SW-NA-01)资助。

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。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.

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 

分 类 号：S711[农业科学—林学] P964[天文地球—自然地理学]