摘要
有机污染物极大影响海洋生物种群结构,为此,深入探究两者间的相互作用与影响。运用拓扑指数划分有机污染物原子结构特征,创建定量结构-生物富集因子解析式,使用误差反向传输人工神经网络,构建有机污染物生物富集;并通过吸收演变算子与毒素演变算子量化有机污染物对海洋生物的不良影响,组建海洋生物种群变化函数。以厦门东海鱼类和浮游植物为例进行实验分析,得出适当浓度有机污染物会加速浮游植物生长速率,但浓度过高会使植物种群数量大幅降低。
Organic pollutants greatly affect the population structure of marine organisms,and therefore,it s necessary to delve into the interaction and impact between the two.Using topological indices to partition the atomic structure characteristics of organic pollutants,this paper set up a quantitative structure-biological enrichment factor analytical formula,and using error backpropagation artificial neural networks to construct organic pollutant bioconcentration.A population change function for marine organisms is constructed by quantifying the adverse effects of organic pollutants on marine organisms through absorption evolution operators and toxin evolution operators.Taking fish and phytoplankton in the East China Sea of Xiamen as an example,the study concluded that hat appropriate concentrations of organic pollutants can accelerate the growth rate of phytoplankton,but excessive concentrations can significantly reduce the number of plant populations.
作者
李萍
Li Ping(Xiamen Ocean Vocational College,Xiamen 361100,China)
出处
《环境科学与管理》
CAS
2023年第12期157-161,共5页
Environmental Science and Management
关键词
海水污染
有机污染物
生物种群变化
富集因子
神经网络
seawater pollution
organic pollutants
change of biological population
enrichment factor
neural network