摘要
三峡库区支流富营养化问题严重,由于数量较多,难以长期逐一开展监测。因此,以库区澎溪河流域3个断面2012年的数据为基础,建立不同指标对应的隶属度函数,通过粗糙集约简与主观因素确定指标权重,结合透明度(SD)、总氮(TN)、总磷(TP)、叶绿素a(Chl-a)、化学需氧量(COD)5个指标进行支流的富营养化模糊综合评价,同时比较采用修正的卡尔森营养状态指数法计算结果。结果表明:模糊综合评价结果更接近实际观测结果,效果优于修正的卡尔森营养状态指数法。因此该模型不仅可以为富营养化评价提供有效的方法,也可为库区的富营养化研究工作提供参考。
The eutrophication problem was serious in the tributary of the three gorges reservoir. Because of the large quantity,it was difficult to carry out long-term monitoring one by one. Therefore,membership functions of different indicators was set up base on the three cross section data in 2012 of Peng River. Through the rough,intensive and subjective factors to determine the index weight,combined with the five indexes of the transparency（ SD）,total nitrogen（ TN）,total phosphorus（ TP）,chlorophyll a（ Chl-a）,chemical oxygen demand（ COD）,the paper used the fuzzy comprehensive evaluation for the tributary of eutrophication,and compared the correction Carlson nutrition state index method to calculate the results. The results showed that the fuzzy comprehensive evaluation result was closer to the observed results,and the effect was superior to the correction of Carlson nutrition state index method. Therefore, this model could provide not only effective method for evaluation of eutrophication,but also reference for the reservoir eutrophication research work.
出处
《环境工程》
CAS
CSCD
北大核心
2015年第12期105-110,共6页
Environmental Engineering
基金
国家环保部重大项目(WFYS-2010-1-SK04)
国家科技重大专项(2014ZX07104-006)
