基于差分方程的河流污染物含量动态预测算法研究  

Research on Dynamic Prediction Algorithm of River Pollutant Content Based on Difference Equation

作　　者：姜田利 Jiang Tianli(Yantai Automobile Engineering Professional College, Yantai 265500, China)

机构地区：[1]烟台汽车工程职业学院,山东烟台265500

出　　处：《环境科学与管理》2019年第4期145-148,共4页Environmental Science and Management

摘　　要：为了解决河流的污染问题,需要预测河流中存在的污染物含量。将差分方程应用到河流污染物含量预测中,提出基于差分方程的河流污染物含量动态预测算法,构建水质模型反映污染物在河流中的迁移转化特征和规律,结合GM模型和灰色相关分析方法根据时间排序主要污染物、生活污水量和工业废水量,根据排序结果估算主要污染物、生活污水量和工业废水量的负荷总量,在估算结果的基础上结合水质模型构建污染物浓度方程,引入差分方程完成河流污染物含量的预测。实验结果表明,所提算法的预测效率高、预测结果准确率高。In order to solve the pollution problem of rivers, it is necessary to predict the amount of pollutants present in the river. The difference equation is applied to the prediction of river pollutant content. The dynamic prediction algorithm of river pollutant content based on the difference equation is proposed. The water quality model is constructed to reflect the migration and transformation characteristics and laws of pollutants in the river. Combined with GM model and grey correlation analysis method. Time-sorting the main pollutants, domestic sewage volume and industrial wastewater volume, estimating the total amount of major pollutants, domestic sewage volume and industrial wastewater volume according to the ranking results, and constructing the pollutant concentration equation based on the estimation results based on the water quality model. The difference equation completes the prediction of river pollutant content. The experimental results show that the proposed algorithm has high prediction efficiency and high accuracy of prediction results.

关 键 词：差分方程 河流污染 污染物含量 预测算法 

分 类 号：X52[环境科学与工程—环境工程]