Why did air quality experience little improvement during the COVID-19 lockdown in megacities, northeast China?

被引:7
|
作者
Fu, Donglei [1 ,2 ,3 ,6 ]
Shi, Xiaofei [1 ,2 ,3 ,4 ]
Zuo, Jinxiang [1 ,2 ]
Yabo, Stephen Dauda [1 ,2 ,3 ]
Li, Jixiang [6 ]
Li, Bo [1 ,2 ,3 ]
Li, Haizhi [5 ]
Lu, Lu [1 ,2 ,3 ]
Tang, Bo [1 ,2 ,3 ]
Qi, Hong [1 ,2 ,3 ]
Ma, Jianmin [6 ]
机构
[1] Harbin Inst Technol, State Key Lab Urban Water Resource & Environm, 73 Huanghe Rd, Harbin 150000, Heilongjiang, Peoples R China
[2] Harbin Inst Technol, Sch Environm, 73 Huanghe Rd, Harbin 150000, Heilongjiang, Peoples R China
[3] Heilongjiang Prov Key Lab Polar Environm & Ecosyst, 73 Huanghe Rd, Harbin 150000, Heilongjiang, Peoples R China
[4] CAS Intelligence Ind Dev Co Ltd, 50 Yongding Rd, Beijing 100089, Peoples R China
[5] Heilongjiang Prov Ecol & Environm Monitoring Ctr, 2 Weixing Rd, Harbin 150000, Heilongjiang, Peoples R China
[6] Peking Univ, Coll Urban & Environm Sci, Beijing 100091, Peoples R China
关键词
COVID-19; Northeast China; Air quality; Meteorology; Emission; YANGTZE-RIVER DELTA; EMISSION CONTROL; MODELING SYSTEM; PM2.5; POLLUTION; MECHANISM; REGION; WINTER;
D O I
10.1016/j.envres.2023.115282
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To inhibit the COVID-19 (Coronavirus disease 2019) outbreak, unprecedented nationwide lockdowns were implemented in China in early 2020, resulting in a marked reduction of anthropogenic emissions. However, reasons for the insignificant improvement in air quality in megacities of northeast China, including Shenyang, Changchun, Jilin, Harbin, and Daqing, were scarcely reported. We assessed the influences of meteorological conditions and changes in emissions on air quality in the five megacities during the COVID-19 lockdown (February 2020) using the WRF-CMAQ model. Modeling results indicated that meteorology contributed a 14.7% increment in Air Quality Index (AQI) averaged over the five megacities, thus, the local unfavorable meteorology was one of the causes to yield little improved air quality. In terms of emission changes, the increase in residential emissions (+15%) accompanied by declining industry emissions (-15%) and transportation (-90%) emissions resulted in a slight AQI decrease of 3.1%, demonstrating the decrease in emissions associated with the lockdown were largely offset by the increment in residential emissions. Also, residential emissions contributed 42.3% to PM2.5 concentration on average based on the Integrated Source Apportionment tool. These results demonstrated the key role residential emissions played in determining air quality. The findings of this study provide a scenario that helps make appropriate emission mitigation measures for improving air quality in this part of China.
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页数:8
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