摘要
把湿地水体富营养化程度划分为6个级别,其阈值参照中国湖泊富营养化评价标准。选取Chl-a、TP、TN、CODMn为评价指标,根据实测数据建立指标及指标标准相对隶属度矩阵;综合考虑指标相对隶属度与指标权重,建立环境指标综合权重矩阵;应用多级模糊模式识别模型求得样本集对模糊概念"营养化"的相对隶属度矩阵;最后利用样本的级别特征值对湿地水体进行富营养化评价。并以扎龙湿地为例进行了实例计算与分析,验证了此模型的准确性和实用性。最后,为扎龙湿地的保护与可持续发展提出建议。
Eutrophication degree of wetland is divided into 6 classifications and the threshold ot each classihcation refers to the Eutrophication Standard of Chinese Lakes. Evaluation indexes including Chl-a, TP, TN and CODMn, the index and the index standard subordinate degree matrix are built according to observed data. Then comprehensive weight matrix of environment indexes is built considering the relative subordinate degree of index and weight of index. The relative subordinate degree matrix of sample set to ＂eutrophication＂ is calculated with multilevel fuzzy pattern recognition model. The feature values of sample classification are used to evaluate water eutrophication in wetland. The application of this method to evaluate the water eutrophication in Zhalong Wetland is studied as an example for demonstration to prove that this model is accurate and applicable. At last, suggestions are provided for protection and sustainable development of Zhalong Wetland.
出处
《中国农村水利水电》
北大核心
2007年第9期9-11,共3页
China Rural Water and Hydropower
关键词
湿地水体富营养化
多级模糊模式识别模型
级别特征值
扎龙湿地
可持续发展
water eutrophication in wetland
multilevel fuzzy pattern recognition model
feature values of classification
Zhalong Wetland
sustainable development
