论文部分内容阅读
在适当设定富营养化指标的“本底值”情况下,当指标值用于对应“本底值”的相对值表示时,可采用S型曲线描述湖泊富营养化的发展程度,公式中的参数可视为与指标特性无关,采用遗传算法对公式参数优化,得到对多项指标均适用的富营养化程度的指数计算公式。并提出用广义模糊对比因子赋权新方法计算富营养化综合指数。该评价方法物理意义明确,计算简单,使用方便,具有普适性、可比性和实用性。
When the “background value” of the eutrophication index is properly set, the S-curve can be used to describe the degree of lake eutrophication development when the index value is used to represent the relative value of the “background value.” In the formula Of the parameters can be considered as independent of the index characteristics, genetic algorithms to optimize the parameters of the formula to obtain a number of indicators are applicable eutrophication index calculation formula. And proposes to use the generalized fuzzy contrast factor weighting new method to calculate the eutrophication comprehensive index. The evaluation method has clear physical meaning, simple calculation, convenient use, universality, comparability and practicability.