Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM<sub>2.5</sub> concentrations over the North China Plain
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Published:2021-05-07
Issue:9
Volume:21
Page:7023-7037
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Xiang YanORCID, Zhang Tianshu, Ma ChaoqunORCID, Lv Lihui, Liu JianguoORCID, Liu Wenqing, Cheng YafangORCID
Abstract
Abstract. China has made great efforts to monitor and control air pollution
in the past decade. Comprehensive characterization and understanding of
pollutants in three-dimensions are, however, still lacking. Here, we
used data from an observation network consisting of 13 aerosol lidars and
more than 1000 ground observation stations combined with a data
assimilation technique to conduct a comprehensive analysis of extreme
heavy aerosol pollution (HAP) over the North China Plain (NCP) from
November–December 2017. During the studied period, the maximum hourly mass
concentration of surface PM2.5 reached ∼390 µg m−3. After assimilation, the correlation between model results and the independent observation sub-dataset was ∼50 % higher than that without the assimilation, and the root mean square error was reduced by ∼40 %. From pollution development to dissipation, we divided the HAP in the NCP (especially in Beijing) into four phases: an early phase (EP), a transport phase (TP), an accumulation phase (AP), and a removal phase (RP). We then analyzed the evolutionary characteristics of PM2.5 concentration during different phases on the surface and in 3-D space. We found that the particles were mainly transported from south to north at a height of 1–2 km (during EP and
RP) and near the surface (during TP and AP). The amounts of PM2.5
advected into Beijing with the maximum transport flux intensity (TFI) were
through the pathways in the relative order of the southwest > southeast > east pathways. The dissipation of PM2.5 in the RP stage (with negative TFI) was mainly from north to south with an average transport height of ∼1 km above the surface. Our results quantified the multi-dimensional distribution and evolution of PM2.5 concentration over the NCP, which may help policymakers develop efficient air pollution control strategies.
Funder
Anhui University Natural Science Foundation of Anhui Province Key Technologies Research and Development Program of Anhui Province National Key Research and Development Program of China National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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