自然气象调节作用的高原地区大气污染预测方法研究  

Air Pollution Prediction in Plateau Area Considering Natural Meteorological Regulation

作　　者：李永花 李元锦[2] 代青措 刘玮 苏璇 Li Yonghua;Li Yuanjin;Dai Qingcuo;Liu Wei;Su Xuan(Qinghai Meteorological Service Center, Xining 810001, China;Haixi Meteorological Bureau, Delingha 817099, China)

机构地区：[1]青海省气象服务中心,青海西宁810001 [2]海西州气象局,青海德令哈817099

出　　处：《环境科学与管理》2022年第1期125-128,共4页Environmental Science and Management

基　　金：2021年度青海省科技计划项目(2021-ZJ-762)。

摘　　要：文章结合自然气象调节作用提出高原地区大气污染预测方法研究。采集大气污染相关数据,并对其进行预处理,通过IGA-PSOW算法获取各层神经元节点之间连接的最佳权重,执行BP神经网络算法即可实现高原地区大气污染浓度的预测。实验数据显示应用提出方法后,大气污染因子浓度误差均低于误差最大限值20%,充分证实了提出方法具备较好的大气污染浓度预测效果,具有一定应用价值。Combined with the regulation of natural meteorology,this paper puts forward the prediction method of air pollution in plateau area.The study collects and processes the air pollution data,obtain the best weight of the connection between the neuron nodes of each layer through the IGA-PSOW algorithm,and implement the BP neural network algorithm to predict the air pollution concentration in the plateau area.The experimental data show that after the application of the proposed method,the concentration errors of air pollution factors are lower than the maximum error limit by 20%,which fully proves that the proposed method has good prediction effect of air pollution concentration and has certain application value.

关 键 词：自然气象调节 高原地区 大气污染 预测 精准度 

分 类 号：X36[环境科学与工程—环境工程]