首页|基于激光雷达探究西北农业城市颗粒物来源

基于激光雷达探究西北农业城市颗粒物来源

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为科学治理我国西北农业城市大气污染,亟需对其污染来源进行探究.选取武威市2021年9月4日高空浮尘过程,利用颗粒物激光雷达结合地面颗粒物浓度监测结果进行分析发现,高空浮尘沉降至近地面时,地面颗粒物浓度明显升高,空气质量级别由良转为轻度污染.利用颗粒物激光雷达走航和定点扫描监测2022年1月25-26日武威市污染分布发现,武威市城区周边农村居民散烧污染排放显著,尤其是在夜间.通过对分别由自然因素与人为因素引起的两类典型污染过程的研究发现,大气污染治理不能仅依靠地面观测站监测数据,还需结合颗粒物激光雷达探测结果,从而准确定位污染来源.对于我国西北农业城市而言,大气污染治理需内防本地污染物生成,外防沙尘输入引起的颗粒物浓度升高.
Exploring the Source of Particulate Matter in Agricultural Cities in Northwest China Based on Lidar
In order to scientifically control air pollution in agricultural cities in northwest China,it is necessary to explore the source of pollution.The high-altitude floating dust event in Wuwei City on September 4,2021 was selected,using the results of particulate matter lidar monitoring combined with the ground particulate matter concentration values,it was found that when the high-altitude floating dust settled to the ground,the ground particulate matter concentration significantly increased,and the air quality level changed from good to mild pollution.Using the lidar navigation and fixed-point scanning to monitor the pollution distribution in Wuwei City from January 25 to 26,2022,it was found that rural residents around the urban area of Wuwei City had significant emissions from scattered burning pollution,especially at night.In order to accurately identify the source of pollution,through studying the two typical pollution processes of natural and human factors,it was found that the air pollution control can not only relied on the ground observation station monitoring data,but also needed to combine the detection results of lidar.For agricultural cities in the northwest of China,air pollution control should pay attention to the local pollution generation and the increase of particulate matter concentration caused by dust input.

air pollutionlidarfloating dustnavigation monitoringplanetary boundary layer(PBL)

杨丽丽、朱文萍、陶会杰、杨燕萍、王莉娜、李晓云

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甘肃省环境监测中心站,甘肃兰州 730020

无锡中科光电技术有限公司,江苏无锡 214135

大气污染 激光雷达 浮尘 走航监测 大气边界层(PBL)

甘肃省青年科技项目甘肃省自然科学基金甘肃省自然科学基金甘肃省自然科学基金

21JR7RA69121JR7RA50122JR5RA74423JRRA1230

2024

中国环境监测
中国环境监测总站

中国环境监测

CSTPCD北大核心
影响因子:1.761
ISSN:1002-6002
年,卷(期):2024.40(4)
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