摘要
城市化进程的加剧增加了跨区域大气臭氧污染,为有效防治臭氧污染,提出跨区域大气臭氧污染时空变化特征分析方法。获取研究区域基础信息、气象信息及遥感信息,应用MATLAB软件完成数据预处理;构建回归方程,实现数据线性拟合;细化污染物排放源,构建臭氧污染物排放模型;使用极限学习机对臭氧污染进行反演计算,确定跨区域大气臭氧污染时空变化特征。分析结果表明:臭氧污染与地面温度以及日照时长具有直接关系,且受到当地气候特征影响。跨区域大气臭氧污染时空变化较大,具有明显的季节性特征。
The urbanization process has increased trans-regional atmospheric ozone pollution.In order to effectively prevent and control ozone pollution,an analysis method of temporal and spatial changes of trans-regional atmospheric ozone pollution was proposed.The basic information,meteorological information and remote sensing information of the research area were obtained,and the data pre-processing was completed by MATLAB software.This study constructed a regression equation to realize linear fitting of data to refine pollutant emission sources and construct ozone pollutant emission model.The extreme learning machine was used to invert the ozone pollution,and the temporal and spatial characteristics of trans-regional atmospheric ozone pollution were determined.The results show that ozone pollution is directly related to ground temperature and sunshine duration,and is affected by local climate characteristics.The spatial and temporal variation of trans-regional atmospheric ozone pollution is great,with obvious seasonal characteristics.
作者
吴淑娟
Wu Shujuan(Dongming Country Branch of Heze Ecological Bureau,Heze 274500,China)
出处
《环境科学与管理》
CAS
2023年第10期68-73,共6页
Environmental Science and Management
关键词
臭氧污染
时空变化分析
反演计算
大气质量测评
跨区域污染评估
ozone pollution
spatial-temporal change analysis
inversion calculation
air quality assessment
cross-regional pollution assessment