作　　者： ; ; ; ; ; ; (唐清华）; (高强）; (庞志研）;

机构地区： 湖南大学环境科学与工程学院

出　　处： 《环境工程》 2014年第11期141-145,76,共6页

摘　　要： 针对湖泊富营养化评价系统中多种不确定信息共存的特点,将集对分析理论引入湖泊富营养化评价领域。先初步计算出评价样本与评价指标间的联系度,再对评价样本做进一步地同一、差异、对立的集对分析以判断评价样本的等级。然后将信息熵引入评价模型,利用熵权法计算各评价指标的权重,建立基于熵权法赋值的集对分析模型,最后通过置信度准则得出湖泊富营养化评价等级。将该模型运用于2011—2012年广州市白云湖的富营养化评价中,评价结果表明,2011—2012年白云湖富营养化严重;2011年1月白云湖富营养化情况最为严重,处于重富营养状态,2011年8月后白云湖富营养化程度略有降低;西湖富营养状况总体上较东湖严重。通过与现有评价方法的对比表明,基于熵权法赋值的集对分析模型的评价结果合理可行。 In view of the coexistence of multiple uncertainties for lake eutrophication evaluation the set pair analysis was adopted. The connection degree between the samples and evaluation indicators were preliminarily calculated,then the samples were further ranked through the identity,difference and antagonism set pair analysis. The weights of the indicators were obtained from the entropy,then set pair analysis model based on entropy weight was established. The confidence degree was used to obtain the level of lake eutrophication. The new model was used to evaluate the eutrophication of Baiyun Lake,the largest artificial lake in Guangzhou City. The results showed that water quality of Baiyun Lake was eutrophicated; the eutrophication status of the west lake was the most serious in January,2011,which was severely eutrophicated,the eutrophication degree of Baiyun Lake was reduced since April,2011; the eutrophication status of the west lake was in more serious condition than that of the east lake. The application result of this model to Baiyun Lake was compared with that obtained from traditional evaluation method. Suggesting degree the proposed method is accurate and workable.

关 键 词： 集对分析 熵 权重 富营养化评价 置信度

领　　域： [环境科学与工程]