尼尔基水库富营养化状态评价比较研究  

Comparison study on eutrophication state evaluation of Nierji reservoir

作　　者：郑国臣[1] 王硕[2] 张继民[1] 张学军[3] 

机构地区：[1]松辽流域水资源保护局,吉林长春130021 [2]江南大学环境与土木工程学院,江苏无锡214122 [3]吉林大学地下水资源与环境教育部重点实验室,吉林长春130021

出　　处：《东北水利水电》2018年第2期44-46,共3页Water Resources & Hydropower of Northeast China

摘　　要：通过对尼尔基水库"十二五期间"(2011-2015年)富营养化指标的分析,确定了各指标的相关权重系数。应用综合营养状态指数法(TLI)对尼尔基水库进行水质评价,并与模糊综合评价法、BP神经网络评价法进行对比。结果表明,三种评价方法均可以用于尼尔基水库的富营养化评价;TLI指数变化范围在40-58之间,对于尼尔基水库的评价基本处于中营养状态;模糊综合评价结果在3-4之间,水质总体处于轻度富营养化状态;BP神经网络评价法结果整体在2-3之间,水质总体处于轻度富营养化状态;结合实际情况,模糊综合评价法与BP神经网络评价法更为科学合理。Through the analysis of eutrophication index of Nierji reservoir during the 12 th five-year plan period(2011-2015),the relative weight coefficient of each index is determined. The comprehensive nutrition state index(TLI) is used to evaluate the water quality of the Nierji reservoir, which is compared with the fuzzy comprehensive evaluation method and BP neural network evaluation method. The results show that, all of the three methods could be used to evaluate the eutrophication of Nierji reservoir,the variation range of TLI index is between 40 and 58 along with the middle nutrition state of the reservoir water quality, the result of fuzzy comprehensive evaluation is between 3 and 4 along with the mild eutrophication of the reservoir water quality, the result of BP neural network evaluation is generally between 2 and 3 along with the mild eutrophication of reservoir water quality. Combined with the actual situation, the fuzzy comprehensive evaluation method and BP neural network evaluation method are more scientific and reasonable.

关 键 词：尼尔基水库 富营养化 综合营养状态指数法 模糊综合评价法 BP神经网络评价法 

分 类 号：X824[环境科学与工程—环境工程]