摘要
通过对水质预测的影响因子分析和经验公式的概化,结合黄河干流小浪底至高村河段2000年1月至2003年12月的常规月监测历史数据,采用GAS(遗传算法geneticalgorithms,简称GAS)优化经验公式参数的方法,对主要水质污染物指标NH3-N和COD的传播输移规律进行了模拟和预测,历史数据模拟和预测检验结果的精度评价表明,该方法模拟与预测精度可靠,能够为生产实践中的预测预报提供依据。
On the basis of the analysis on the effecting factors and the generalization of the empirical formula for water quality prediction, the transportation law for the indexes of main pollutants （ NH3-N and COD） is simulated and predicted with the method of optimizing the parameters of empirical formula by GAS （ genetic algorithms） in accordance with the historical data of the monthly monitoring recordings during 2000 to 2003 for the main stream of the Yellow River from Xiaolangdi Station to Gaocun Station. The evaluation on the precision of both the simulation and the prediction shows that the precisions of the simulation and the prediction are reliable, and then this method can be used in the practice concerned.
出处
《水利水电技术》
CSCD
北大核心
2007年第8期23-25,37,共4页
Water Resources and Hydropower Engineering
基金
重大治黄专项(2002Z06)
关键词
遗传算法
水质预测
参数优化
黄河
genetic algorithms （GAS）
water quality prediction
parameter optimization
the Yellow River
