| 湿地功能评价两级模糊模式识别模型的建立及应用 |
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| 引用本文： | 袁军,吕宪国.湿地功能评价两级模糊模式识别模型的建立及应用[J].林业科学,2005,41(4):1-6. |
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| 作者姓名： | 袁军 吕宪国 |
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| 作者单位： | 1. 中国科学院东北地理与农业生态研究所,长春,130012;国家林业局调查规划设计院,北京,100714;中国科学院研究生院,北京,100039
2. 中国科学院东北地理与农业生态研究所,长春,130012 |
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| 基金项目： | 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。 |
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| 摘 要： | 湿地功能一般可分为水文功能、生境功能和生物地化学循环功能3种类型,3类功能各包括若干子功能,各子功能的强弱由可以量化、相互独立、能够表示其本质特征的评价指标表示,指标总和即为湿地功能评价指标体系。湿地功能所具有的模糊属性决定了模糊数学方法在湿地功能评价中具有广泛的应用前景。运用模糊数学理论和方法进行湿地功能评价的实质就是确定待评价湿地属于哪个事先划分好的模糊集合,或描述它属于某个集合的程度。两级模糊模式识别模型的原理是通过确定评价对象对最优、最劣2种状态的隶属程度,从而定量判断评价对象的优劣状况。对于任意一块待评价的湿地,以其原始状况下指标最大可能特征值作为最优标准值,以其在人类干扰下指标可能达到的最小特征值作为最劣标准值。运用模型对黑龙江三江平原洪河国家级自然保护区不同年份(1980,1988和2002年)湿地功能进行了评价,结果表明该区湿地功能对最优状态的隶属度在1980、1988和2002年分别为0.9743、0.8573和0.7030,呈明显下降趋势。
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| 关 键 词： | 湿地功能评价 两级模糊模式识别模型 洪河国家级自然保护区 |
| 文章编号： | 1001-7488(2005)04-0001-06 |
| 收稿时间： | 2004-11-04 |
| 修稿时间： | 2004年11月4日 |
Development and Application of A Dual-Grade Fuzzy Pattern Recognition Model on Functional Assessment of Wetlands |
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| Yuan Jun,Lü Xianguo.Development and Application of A Dual-Grade Fuzzy Pattern Recognition Model on Functional Assessment of Wetlands[J].Scientia Silvae Sinicae,2005,41(4):1-6. |
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| Authors: | Yuan Jun Lü Xianguo |
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| Abstract: | Generally wetland functions can be divided into three types: hydrologic, habitat and biogeochemical functions. Each of the three functions includes several sub_functions, each of which is manifested by a measurable and quantitative variable. A combination of all the variables forms the functional assessment index system of wetlands. The intrinsic fuzzy features of wetland functions make it possible for fuzzy mathematics method to be widely used in functional assessment of wetlands. The essence of application of fuzzy set theory to functional assessment of wetlands is to identify the membership degrees of the target wetlands to give fuzzy sets. The main principle of a Dual_Grade Fuzzy Pattern Recognition Model is to quantitatively assess the functional status of a target wetland through calculation of its membership degree to idealistic and worst functional circumstances. For any wetland to be assessed, the possible maximum values of its variables in undisturbed pristine situation are adopted as the standards of idealistic circumstance, and the possible minimum values of its variables in human_disturbed situation are adopted as the standards of worst circumstance. The established model has been applied to assessment of wetland functions in Honghe National Nature Reserve in Sanjiang Plain, Heilongjiang Province in the years of 1980, 1988 and 2002. The calculation results showed that the membership degrees of this wetland to idealistic circumstance was 0.974 3 in 1980, 0.857 3 in 1988 and (0.703 0) in 2002,suggesting that wetland functions in Honghe have been evidently decreasing since 1980. |
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| Keywords: | functional assessment of wetlands Dual_Grade Fuzzy Pattern Recognition Model Honghe National Nature Reserve |
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