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Scientia Silvae Sinicae ›› 2006, Vol. 42 ›› Issue (4): 1-6.doi: 10.11707/j.1001-7488.20060401

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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

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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