基于遗传算法的洞庭湖富营养化指标预测模型  

Genetic algorithm-based prediction model for eutrophication index of Dongting Lake

作　　者：李广源[1] 

机构地区：[1]湖南省水文水资源勘测局,湖南长沙410007

出　　处：《水资源保护》2004年第5期23-25,28,共4页Water Resources Protection

摘　　要：在已获取调研资料和实测数据的基础上,分析了洞庭湖富营养化评价指标及其影响因子之间的统计特性,据此建立了描述洞庭湖富营养化评价指标及其影响因子之间变化关系的、基于最小一乘法的多元线性回归预测模型,并给出了统一用加速遗传算法进行洞庭湖富营养化评价指标预测模型的参数优化估计,预测了2010年洞庭湖富营养化评价指标值。With the investigated information and measured data, a statistical analysis was made of the relationships between the evaluation indexes for eutrophication of Taihu Lake and some influential factors. Then, a least absolute method-based multivariate linear regression model was developed for prediction of the eutriphication index for Dongting Lake, and a method was given for optimal evaluation of parameters for the prediction model with the accelerating genetic algorithm. By use of the model developed, the eutrophication evaluation index for year 2010 of Dongting Lake was predicted.

关 键 词：富营养化 预测模型 加速遗传算法 洞庭湖 

分 类 号：X824[环境科学与工程—环境工程]