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.
出处
《水资源保护》
CAS
2004年第5期23-25,28,共4页
Water Resources Protection
关键词
富营养化
预测模型
加速遗传算法
洞庭湖
eutrophication
prediction model
accelerating genetic algorithm
Dongting Lake
