基于信息熵密切值法的宿鸭湖水库富营养状况评估

为了掌握宿鸭湖水库的富营养化情况,结合湖库富营养化评估标准,采用基于信息熵的密切值法对其2009—2015年的营养状况进行评估。结果表明：2012年该水库为轻度富营养化,其他年份则为中度富营养化。各年份营养化状况排序为2012<2013<2015<2009<2010<2014<2011;而从线性插值法角度,其营养化程度排序为：2012<2015<2013<2011<2010<2009<2014。两者结果虽然一致,但各年份的排序存在着差异：由于评估原理和对指标权重的处理方式不同,线性插值法的主观性较大,基于信息熵的密切值法可以减少主观性,并能确定主要影响因素,使其评估结果更符合实际。基于信息熵的密切值法可作为湖库营养状况分析的常用方法。

Informaion Entropy Osculating Method: The Assessment of Eutrophic Status in Suyahu Reservoir

To grasp the nutritional situation of Suyahu reservoir, combining with the evaluation criteria of the eutrophication of lake and reservoir, the eutrophic status was analyzed based on information entropy osculating method from 2009 to 2015. The results showed that the reservoir had mild eutrophication in 2012, and moderate eutrophication in the other years. By nutritional degree, the order of each year from light to heavy was 2012<2013<2015<2009<2010<2014<2011; from the perspective of linear interpolation method, the order of its nutritional degree was 2012<2015<2013<2011<2010<2009<2014; there were differences in the sorting though the outcome from the two methods were consistent, the subjectivity of linear interpolation method was more due to the discrepancy of evaluation principle and approach of index weight, information entropy osculating method could reduce the subjectivity and identify the major influencing factors, which made the evaluation result more accord with the reality. Information entropy osculating method can be used as a common method to analyze water quality of reservoirs and lakes.