湖泊富营养化影响与公众满意度评价方法

构建了基于韦伯-费希纳定律(Weber-Fechner Law,W-F)的湖泊富营养化及公众满意度综合评价方法,选取透明度(SD)、高锰酸盐指数(COD_Mn)、总氮(TN)、总磷(TP)、叶绿素a(Chla)5个评价因子,应用熵权系数法确定各评价因子权重分别为0.124 2、0.176 8、0.214 0、0.203 4和0.281 6,明确了湖泊富营养化综合影响指数K_i值与营养指数之间的函数关系,探讨了将公众对湖泊营养状态的感受与K_i值间建立定量的关系,根据K_i值变化范围、变化率与营养等级的对应关系,将公众对湖泊营养状态的满意度划分为4个等级:优、中、差和很差,以反映公众对湖泊富营养程度变化的响应.并以海河流域典型湖泊白洋淀为例,对方法进行了验证,结果显示:白洋淀K_i值为0.052 3,K_i值变化率为304.67,处于重度富营养化状态.不同空间的8个点位富营养化严重程度排序:南刘庄>圈头>王家寨>光淀张庄>烧车淀>枣林庄>采蒲台>端村.公众对白洋淀8个点位K_i值变化范围确定为0.029 3~0.100 6,营养状况的公众满意程度均为差,富营养状态及对公众的影响存在空间差异.

Evaluation method for lake eutrophication influence and public satisfaction

A new evaluation method based on Weber-Fechner Law is used to assess the lake eutrophication and its integrate influence on people.The transparency(SD),CODMn,total nitrogen(TN),total phosphorus(TP),chlorophyll a(chl-a) are selected as the evaluation factors,whose weights determined by the entropy coefficient method are 0.1242,0.1768,0.2140,0.203 4,and 0.28161 The relationship between the entropy impact indexes(K_i) and the eutrophication indexes is also established.K_i standing for the connection of people's feeling with the changes of lake nutritional status,together with the nutritional status of lakes people.s satisfaction is classified into four levels:Better,normal,worse and worst according to the corresponding relationship between K_i values and its change rate with trophic indexes.The case study is conducted on Baiyangdian Lake in Haihe Basin of China.The results show that the average K_i value is 0.0523 and its change rate is 304.67,which suggests that Baiyangdian Lake is in the serious eutrophication status averagely.The people.s satisfactory level with the nutritional status of Baiyangdian Lake is lower.In different spaces of 8 locations of eutrophication from serious to better are as follows:Nanliu village > Quantou > Wangjia village > Zhang village > Shaohce lake > Zaolin village > Caiputai > Duan village.K_i values change from 0.029 3 to 0.10061 People's satisfactory levels are all worse,but exists the space diversity.