摘要
为了研究银川市政府2017年12月施行的限行、减排措施对空气质量的影响,利用干预分析理论,建立了PM10和PM2.5的干预模型.干预模型表明:限行、减排措施对空气质量的改善非常明显.最后利用干预模型预测了2019年1月至3月PM10和PM2.5的指数,PM10和PM2.5预测精度分别为84%和91.2%.
To investigate the influence of traffic control and reduction policy established by government of Yinchuan city in December 2017,two intervention models using air quality data,more specially,PM 10 and PM2.5 data,were build based on the intervention analysis theory.It is shown that air quality is significantly improved after releasing the policy.The two intervention models were then applied to forecast PM10 and PM2.5 index of Yinchuan from January to March in 2019.From the results,the accuracy of prediction for PM 10 and PM2.5 are 84%,91.2%,respectively.
作者
纳艳萍
NA Yan-ping(School of Mathematics and Statistics,Ningxia University,Yinchuan 750021,China)
出处
《数学的实践与认识》
北大核心
2020年第9期243-249,共7页
Mathematics in Practice and Theory
基金
宁夏高等学校科学研究项目(NGY2017028)。
