Evolution Characteristics of in Akdala and Its Correlation with Meteorological Elements
In order to deeply understand the pollution of PM2.5 in Akdala,we used the data observed by the GRIMM 180 from 2010 to 2019 and the conventional meteorological data observed at the station to analyze the change over time by using the z-score method and standardize the data about PM2.5.SPSS was used to analyze Pearson coefficient correlation,which could objectively reflect the covariant tendency between PM2.5 concentration and meteorological elements.The results indicated that:(1)Mass concentration of increased by 7.15％in 10 years.Seasonal variation was obvious,with the concentration decreasing in winter,spring,autumn and summer sequentially.The data obtained in spring,summer and winter was basically distributed symmetrically around the median,while in autumn,the distribution of water was significantly skewed to the right,and the greatest variation was seen in winter.The change cycle was 13 months,presenting a U-shaped fluctuation and a single-peak diurnal variation pattern.Mass concentration in the heating period was twice that in the non-heating period.PM2.5 accumulated during the day and diffused at night.(2)Mass concentration of was highly correlated with air speed,humidity and sunshine duration,which was the most noticeable in winter.Main pollutants in Akdala came from the northwest and west.Mass concentration of PM2.5 experienced the most dramatical change at air speed of 10m/s.When there was precipitation in summer,mass concentration of PM2.5 was less than that when there was no precipitation,and the opposite was true in winter.Sunshine helped accelerate the movement of particles and speeded up the diffusion of pollutants.
万方数据
