摘要
针对目前空气质量污染日益严重的问题,提出了一种基于神经网络的环境空气质量的预测方法。借助于Matlab分别建立空气污染指数(API)和环境空气质量指数(AQI)对空气质量影响的数学模型。利用Matlab对各污染物浓度数据进行分析,计算相应的空气污染指数(API)和环境空气质量指数(AQI),对结果进行对比。运用BP人工神经网络的多层神经网络对全市大气污染物浓度的实测值进行训练学习,建立模型。同时结合未来一周西安市天气预报,用此模型对污染物浓度进行预测和预报,以达到对大气环境质量进行预测预警的作用。应用实例表明:人工神经网络应用于大气环境质量预测预警是比较理想的。
Abstract Since the air pollution is getting worse and worse,this paper provides a forecasting method of ambient air quality based on the neutral network.The mathematical models on the effects from API and AQI on the air are established by means of Matlab.Take use of Matlab to analyze the data of pollutant concentration,calculating the corresponding API and AQI,and then compares the results.Establish the model by investigating the measured value of air pollutants concentration,which is carried out by multilayer neutral network of BP artificial neutral network.This model is used simultaneously with the weather in the future week in Xi＇an to forecast the pollutant concentration,aiming at forecasting and early warning of the ambient air quality.The results showed,the application of artificial neural networks on atmospheric quality predicting ＆ warning is reasonable and has manyadvantages.
出处
《电子设计工程》
2013年第21期54-57,共4页
Electronic Design Engineering
