摘要
空气污染主要与污染源的排放、气象条件、地形地貌三方面因素有关。对南宁市空气质量指数与气象因素的关系进行研究,进一步探究空气污染的主要污染源PM2.5与气象因素之间的关系,分析了促进空气污染发生的气象条件,并在此基础上建立多元线性模型对空气污染物PM2.5的浓度值进行预测。结果表明预测模型拟合度最大达到了0.747,说明了该预测模型能够适用于南宁市空气污染物PM2.5的监测和预报。
The status of air pollution depends mainly on dispersionof pollution sources,meteorological condition,and topography.The relationship between air quality index and meteorological factors in Nanning City,South China,was studied,the relationships between PM 2.5(the main source of air pollution)and meteorological factors were explored,and the meteorological conditions that promote air pollution was analyzed.A multivariate linear model was established to predict the concentration of PM 2.5 ofair pollutants.The results show that the prediction of the model is accurate and can be applied to monitor and forecast the concentration of PM 2.5 and air pollutant in the city.
作者
谢劭峰
周志浩
李国弘
XIE Shao-feng;ZHOU Zhi-hao;LI Guo-hong(College of Geomatics and Geoinformation,Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin University of Technology,Guilin 541006,China)
出处
《科学技术与工程》
北大核心
2020年第2期460-466,共7页
Science Technology and Engineering
基金
国家自然科学基金(41864002)
广西空间信息与测绘重点实验室课题(15-140-07-11)。
关键词
PM2.5
南宁市
气象条件
相关分析
PM2.5
Nanning City
meteorological conditions
correlation analysis
