干旱区地理2026，Vol.49Issue(1)：47-55,9.DOI:10.12118/j.issn.1000-6060.2025.045
阿克达拉站PM10和PM2.5质量浓度长期变化趋势及短期升高事件研究
Long-term variation trends and short-term elevation events of PM10 and PM2.5 mass concentrations at Akedala station
摘要
Abstract
Based on continuous observations of PM10 and PM2.5 at the Akedala regional atmospheric background station from 2011 to 2023,we employed statistical and meteorological correlation analyses,the HYSPLIT-4 mod-el,the potential source contribution function(PSCF),and the concentration-weighted trajectory(CWT)method to investigate the variation trends and source characteristics of PM10 and PM2.5 mass concentrations.The results showed that:(1)From 2011 to 2023,the annual average mass concentration of PM10 increased from 12.1 μg·m-3 to 23.2 μg·m-3,while PM2.5 increased from 7.3 μg·m-3to 10.8 μg·m-3,with annual growth rates of 0.81 μg·m-3·a-1 and 0.31 μg·m-3·a-1,respectively,indicating that PM10 increased faster than PM2.5.(2)PM10 and PM2.5 exhibited clear seasonal variations,with higher values in spring and winter and lower values in summer and autumn.The PM2.5/PM10 ratio displayed a bimodal distribution(0.4-0.5 and 0.8-0.9),where lower ratios indicated natural con-tributions and higher ratios reflected anthropogenic sources.(3)Air mass trajectory analysis suggested that PM10 primarily originated from eastern arid regions of Kazakhstan(PSCF values 0.4-0.7),whereas PM2.5 mainly came from anthropogenic sources in northern Xinjiang(PSCF values 0.5-0.8).(4)In 2023,four high-concentration PM10 events(peaks 681.1-822.6 μg·m-3)and five high-concentration PM2.5 events(peaks 294.2-551.4 μg·m-3)were observed,with durations typically less than one hour,exhibiting"short-term high-intensity"characteristics.(5)Compared with Lin'an station,PM10 and PM2.5 at Akedala showed"low baseline,high variability,and short peaks",with baseline values lower than Lin'an but higher peak concentrations.This study provides a scientific basis for understanding atmospheric background particulate matter in arid regions and analyzing transboundary transport patterns,supporting air quality assessment and regional collaborative governance in northwest China.关键词
PM2.5/PM10/污染特征/时间变化/区域传输Key words
PM2.5/PM10/pollution characteristics/temporal variation/regional transport引用本文复制引用
李佳林,钟玉婷,董垠希,蔡海洋,陶瑞..阿克达拉站PM10和PM2.5质量浓度长期变化趋势及短期升高事件研究[J].干旱区地理,2026,49(1):47-55,9.基金项目
中国气象沙漠气象研究基金项目(Sqj2023012)资助 （Sqj2023012）
