摘要
根据我国湖泊分布及重要程度,选取24个湖泊,利用加权优序法、模糊综合评价法、灰色关联分析法、主成分分析法和集对分析法5种综合方法进行富营养化评价和对比分析。结果表明,24个湖泊都有不同程度的富营养化,其中富营养化和超富营养化的湖泊超过50%;不同评价方法结果不完全一致。主成分分析法得到的结果最优,其不仅能对湖泊富营养化状态做出判断,还能进行同一富营养化状态下富营养化程度判断。与综合评分指数法对比,主成分分析法、加权优序法、集对分析法、灰色关联分析法、模糊综合评价法评价结果相同的占比为87.5%、83.3%、83.3%、75%、70.8%。主成分法较适于我国湖泊富营养化评价。
According to the distribution and importance of lakes in China,24 lakes are selected for eutrophication evaluation and comparative analysis by using five comprehensive evaluation methods,including weighted priority order method,fuzzy comprehensive evaluation,grey correlation analysis,principal component analysis and set pair analysis.The results show that all the 24 lakes are eutrophicated to varying degrees and more than 50%of them are eutrophicated or serious eutrophicated,and the results of different evaluation methods are not completely consistent.The principal component analysis is the best,which can not only judge the eutrophication state of the lake,but also judge the eutrophication degree under the same eutrophication state.Compared with comprehensive scoring index method,the principal component analysis method,weighted priority order method,set pair analysis method,grey correlation analysis method and fuzzy comprehensive evaluation method have the same evaluation results accounting for 87.5%,83.3%,83.3%,75%and 70.8%respectively.Therefore,the principal component analysis is suitable for lake eutrophication evaluation in China.
作者
付江凤
张代青
程乖梅
马森
张惠
陈艺菁
FU Jiangfeng;ZHANG Daiqing;CHENG Guaimei;MA Sen;ZHANG Hui;CHEN Yijing(College of Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,Yunnan,China)
出处
《水力发电》
CAS
2023年第3期5-10,共6页
Water Power
基金
国家自然科学基金资助项目(51469009)。
关键词
湖泊富营养化
综合方法
对比分析
加权优序法
模糊综合评价法
灰色关联分析法
主成分分析法
集对分析法
lake eutrophication
comprehensive evaluation method
comparative analysis
weighted priority order method
fuzzy comprehensive evaluation
grey correlation analysis
principal component analysis
set pair analysis
