【摘要】：針對現(xiàn)有空氣監(jiān)測缺乏污染垂直分布特征的觀測及數(shù)據(jù)采集覆蓋范圍有限的問題,該文提出了用無人駕駛飛機搭載微型空氣質(zhì)量檢測器監(jiān)測大氣污染的方法,首先分析了傳統(tǒng)地面監(jiān)測站的缺點,并闡述了監(jiān)測設(shè)備的構(gòu)成;然后從無人駕駛飛機大氣污染空間采樣方案、污染物數(shù)據(jù)的準(zhǔn)確性及可靠性校正、大氣污染時空規(guī)律幾個方面做了研究;最后選擇浙江省臨安市青山湖街道、上海奉賢區(qū)等地區(qū)進(jìn)行了試驗。研究結(jié)果能有效補充地面監(jiān)測站的數(shù)據(jù)缺失,揭示PM2.5、O3等大氣污染物的垂直分布、垂直擴散及區(qū)域性輸送特征,為空氣污染預(yù)警和防控對策機制的制定提供重要技術(shù)依據(jù)。
[Abstract]:In order to solve the problem of the lack of vertical distribution of air pollution and the limited coverage of data acquisition, a method of monitoring air pollution by pilotless aircraft with a micro air quality detector is proposed in this paper. This paper first analyzes the shortcomings of traditional ground monitoring station, and expounds the composition of monitoring equipment, and then corrects the accuracy and reliability of pollutant data from the space sampling scheme of air pollution of unmanned aerial vehicles. The spatiotemporal laws of air pollution were studied in several aspects. Finally, the experiment was carried out in Qingshan Lake Street of Lin'an City, Zhejiang Province and Fengxian District of Shanghai. The results of the study can effectively supplement the lack of data from the ground monitoring station, reveal the vertical distribution, vertical diffusion and regional transport characteristics of atmospheric pollutants such as PM2.5,O3, and provide an important technical basis for the establishment of air pollution early warning and prevention and control countermeasures.
【作者單位】： 浙江省第二測繪院;青田縣國土資源局;浙江省地理信息中心;
【分類號】：X831

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本文編號：2285030