基于后向气团轨迹的大气污染特征时序分析研究  

Time Series Analysis of Air Pollution Characteristics Based on Trajectories of Backward Air Masses

作　　者：孙雪 白华 李一鸣 孙颖 Sun Xue;Bai Hua;Li Yiming;Sun Ying(Shenyang Sujiatun Meteorological Bureau of Liaoning,Shenyang 110100,China;Shenyang Meteorological Bureau of Liaoning,Shenyang 110068,China;Shenyang Shenbeixinqu Meteorological Bureau of Liaoning,Shenyang 110000,China;Benxi Meteorological Bureau of Liaoning,Benxi 117000,China)

机构地区：[1]辽宁沈阳市苏家屯区气象局,辽宁沈阳110100 [2]辽宁沈阳市气象局,辽宁沈阳110068 [3]辽宁沈阳市沈北新区气象局,辽宁沈阳110000 [4]辽宁本溪市气象局,辽宁本溪117000

出　　处：《环境科学与管理》2024年第6期135-139,共5页Environmental Science and Management

摘　　要：大气污染特征时序分析方法主要通过计算不同区域内的污染颗粒平均浓度,锁定污染源的具体位置,由于缺乏对气团轨迹移动概率的分析,导致算法分析性能不佳。对此,提出基于后向气团轨迹的大气污染特征时序分析方法。预处理大气污染时间序列监测数据,结合皮尔逊相关系数法,计算时间序列数据之间的关联程度。网格划分研究区域,引入权重因子修正污染源轨迹,计算污染物权重浓度值,构建大气污染特征时序分析模型。测试结果表明,采用提出方法对大气污染时序数据分析时,污染源定位误差较低,具备较为理想的分析性能。The time series analysis method of air pollution characteristics mainly determines the specific location of pollution sources by calculating the average concentration of pollution particles in different regions.Due to the lack of analysis of the probability of air mass trajectory movement,the analysis performance of the algorithm is poor.In this paper,a time-series analysis method of air pollution characteristics based on backward air mass trajectory is proposed.Pretreatment of air pollution time series monitoring data and Pearson correlation coefficient method were used to calculate the degree of correlation between time series data.The research area is divided into grids,the pollution source trajectory is corrected by introducing weight factors.The weight concentration of pollutants is calculated,and the time series analysis model of air pollution characteristics is built.The test results show that the proposed method has low pollution source location error and good analytical performance when analyzing air pollution time series data.

关 键 词：后向轨迹气团 大气污染 时间序列 特征分析 

分 类 号：X513[环境科学与工程—环境工程]