基于Stacking融合模型的乌鲁木齐市空气质量指数预测  

Prediction of Urumqi Air Quality Index Based on Stacking Fusion Model

作　　者：史江振 窦燕 Shi Jiang-zhen(School of Statistics and Data Science,Xinjiang University of Finance and Economics,Urumqi,Xinjiang 830012)

机构地区：[1]新疆财经大学统计与数据科学学院,新疆乌鲁木齐830012

出　　处：《农业灾害研究》2023年第4期125-128,共4页Journal of Agricultural Catastrophology

摘　　要：随着社会的发展和公众环保意识的增强,空气质量日益成为公众关注的问题。预测未来空气质量情况,有利于提前采取污染防治措施和居民活动选择。以污染物因素和气象因素作为空气质量指数预测指标,建立基于Stacking融合的预测模型,利用新疆乌鲁木齐市2016年1月至2021年12月的空气污染物监测数据和气象数据,对乌鲁木齐市空气质量情况进行了预报,并与其他算法进行了对比。研究结果表明:Stacking融合模型在AQI数值预测方面的性能优于其他对比模型,具有良好的预测效果。With the development of society and the improvement of public environmental awareness,air quality has increasingly become a public concern.Predicting the future air quality will help the government to take pollution prevention measures and residents’choice of activities in advance.In this paper,pollutant factors and meteorological factors were used as the prediction indicators of air quality index,and a prediction model based on Stacking fusion was established.The air pollution monitoring data and meteorological data of Urumqi from January 2016 to December 2021 are used to forecast the air quality of Urumqi,and compared with other algorithms.The research results show that the Stacking fusion model has better performance in AQI numerical prediction than other comparison models,and has good prediction effect.

关 键 词：空气质量预测 Stacking融合模型 空气质量指数 

分 类 号：X51[环境科学与工程—环境工程]