CHARACTERISTICS AND CAUSES OF AIR CONDITION IN SHANGHAI DURING COVID-19 PREVENTION PERIODS

KONG Lin; HU Ting-ting; NIU Zhi; ZHOU Meng-ge; RAO Pin-hua; GE Da-feng; PENG Wang-min-zi

doi:10.13205/j.hjgc.202109016

Volume 39 Issue 9

Jan. 2022

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KONG Lin, HU Ting-ting, NIU Zhi, ZHOU Meng-ge, RAO Pin-hua, GE Da-feng, PENG Wang-min-zi. CHARACTERISTICS AND CAUSES OF AIR CONDITION IN SHANGHAI DURING COVID-19 PREVENTION PERIODS[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 110-116,198. doi: 10.13205/j.hjgc.202109016

Citation:

KONG Lin, HU Ting-ting, NIU Zhi, ZHOU Meng-ge, RAO Pin-hua, GE Da-feng, PENG Wang-min-zi. CHARACTERISTICS AND CAUSES OF AIR CONDITION IN SHANGHAI DURING COVID-19 PREVENTION PERIODS[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 110-116,198. doi: 10.13205/j.hjgc.202109016

Citation:

KONG Lin, HU Ting-ting, NIU Zhi, ZHOU Meng-ge, RAO Pin-hua, GE Da-feng, PENG Wang-min-zi. CHARACTERISTICS AND CAUSES OF AIR CONDITION IN SHANGHAI DURING COVID-19 PREVENTION PERIODS[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(9): 110-116,198. doi: 10.13205/j.hjgc.202109016

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CHARACTERISTICS AND CAUSES OF AIR CONDITION IN SHANGHAI DURING COVID-19 PREVENTION PERIODS

doi: 10.13205/j.hjgc.202109016

1. School of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China;
2. School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China;
3. Jiangxi Meteorological Science Institute, Nanchang 330046, China

Received Date: 2020-09-17
Available Online: 2022-01-21

Abstract

Abstract

In order to explore the impact of the COVID-19 epidemic implementation policy on air pollution variation, ρ(PM_2.5), ρ(PM₁₀) and meteorological elements (temperature, relative humidity, wind direction, wind speed, atmospheric pressure and rainfall) were observed by the microenvironment platform on the roof of a high-rise dormitory building in the inner ring of Shanghai from January 14^th, 2020 to February 18^th, 2020. The characteristics and influencing factors of air pollutants before and after the implementation of the policy were analyzed through statistical analysis, synthetic analysis, Lagrangian particle dispersion model and Spearman correlation method, based on the above observation data in 2020 and the corresponding observation data in 2019, as well as the hourly monitoring data of gaseous pollutants (O₃, NO₂, CO, SO₂) at Yangpu Sipiao air quality monitoring station. The results showed that:1) Changes in pollutant concentrations:the implementation of the policy reduced the magnitude of ρ(PM_2.5), ρ(PM₁₀) and ρ(NO₂) significantly:ρ(PM_2.5) and ρ(PM₁₀) decreased from 61.4 μg/m³ to 38.1 μg/m³ and from 102.4 μg/m³ to 63.5 μg/m³, respectively, with a decrease rate of 38.0%, ρ(NO₂) decreased from 57.3 μg/m³ to 27.0 μg/m³, with a decrease rate of 52.9%. ρ(O₃) increased from 47.6 μg/m³ and 69.5 μg/m³. The diurnal bimodal and double-valley variation pattern of ρ(PM_2.5) and ρ(PM₁₀) became a single-valley pattern after the implementation of the policy; 2) The influence of meteorological factors:the anomaly of the southerly wind weakened the intensity of the winter monsoon, and the anomaly of the positive anomaly in the middle troposphere inhibited the development of convective activities, which easily led to the accumulation of atmospheric pollutants near the ground. ρ(PM_2.5) and ρ(PM₁₀) were negatively correlated with relative humidity. The influence of wind speed on ρ(PM_2.5) and ρ(PM₁₀) depended on the wind direction; 3) The impact of external sources:the urban agglomeration of the Yangtze River Delta and the surrounding provinces such as Shandong and Henan contributed significantly to ρ(PM_2.5) and ρ(PM₁₀) in Shanghai.
- COVID-19,
- air pollutants,
- synthetic analysis,
- Lagrangian particle dispersion model,
- Shanghai

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References(36)

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