昌吉市积雪对大气颗粒物的清除作用

Y. Liu
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引用次数: 5

摘要

昌吉市是中国西北部的一个干旱城市,由于车辆使用增加和燃煤取暖,空气污染严重。在多次降雪前后采集TSP、PM10、PM5、PM2.5等样品,揭示积雪清除作用及其影响机制。结果表明,除雪效果明显。积雪清除率和清除率最高的是TSP,其次是PM10、PM5和PM2.5。扫雪量与颗粒直径有关。积雪强度、干燥时间和积雪量影响清除率,其中积雪强度是影响清除率的关键因素。清除率随雪强的增加而增大。较高的积雪强度会降低对粒径的选择性清除率,不同粒径粒径的清除率会趋于接近。积雪强度越小,选择性越高。小雪对大颗粒的清除作用明显,对小颗粒的清除作用不大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scavenging of atmospheric particulates by snow in Changji, China
Changji is an arid city in the north west of China which suffers from severe air pollution due to increasing vehicle use and heating with coal. Samples (TSP, PM10, PM5, PM2.5) were collected before and after several snow events, for revealing the snow scavenging effect and influencing mechanisms. The result indicated that the snow scavenging effect was obvious. The highest snow scavenging quantity and scavenging ratio is TSP, followed by PM10, PM5 and PM2.5. Snow scavenging quantity was dependent on the particulate diameter. Snow intensity, drying time and amount of snow influenced scavenging ratio, and snow intensity is the key influencing factor. Scavenging ratio increases with the increase of snow intensity. Higher snow intensity can reduce the selective scavenging of particulate diameters, the scavenging ratio of different particulate diameter will get close to each other. The lower snow intensity was, the higher selectivity was. Light snow will scavenge large particles obviously, but little for small particle.
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