Unexpected rise of atmospheric secondary aerosols from biomass burning during the COVID-19 lockdown period in Hangzhou, China

Xu, Huifeng; Gao, Xiang; Chen, Jiansong; Bao, Zhier; Wang, Chenxi; Gao, Xiang; Cen, Kefa

doi:10.1016/j.atmosenv.2022.119076

Cited by 6 publications

(2 citation statements)

References 66 publications

(73 reference statements)

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“…Previous studies reported the PM 2.5 concentrations substantially dropped worldwide and in China (Fan et al., 2021; Shi & Brasseur, 2020; Shi et al., 2021; Venter et al., 2020). The air quality changes in East China (Z. Wang et al., 2021; Q. Zhang et al., 2021; Y. Zhang et al., 2021), especially in urban areas (Fan et al., 2021; Lian et al., 2020; H. Xu et al., 2022; Yuan et al., 2021), had received more attention than that in the West China. Large difference in the variations of aerosol species, concentrations and size distribution during the lockdown is reported between East and West China (J. Xu et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

COVID‐19 Pandemic Reveals Distinct Impact of Aerosols on Surface Solar Radiation in China

Yang

Yao

et al. 2023

Geophysical Research Letters

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Section: Introductionmentioning

confidence: 99%

COVID‐19 Pandemic Reveals Distinct Impact of Aerosols on Surface Solar Radiation in China

Yang

Yao

et al. 2023

Geophysical Research Letters

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“…The atmospheric concentration of CO2 and CH4 has dramatically declined over the Yangtze River Delta of China during the COVID-19 lockdown [19]. At the same time, atmospheric secondary aerosols were raised unexpectedly due to more burning of biomass in Hangzhou, China during the COVID-19 lockdown [20].…”

Section: Introductionmentioning

confidence: 99%

Impact of COVID-19 Nationwide Lockdowns and Unlock Phases in India on River Water Quality of Upper Part of the Ganga River

et al. 2023

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The river water quality index (RWQI) of the upper Ganga canal has been computed to assess the effect of lockdown and unlock phases lead down by COVID-19 in India. Geospatial distribution of RWQI from January 2019 to December 2021 in the study area revealed significant impacts of lockdown on water quality. However, unlock phases (post lockdown) have deteriorated water quality since August 2020 and reached to actual conditions of the river by August 2021. To evaluate the lockdown as a management strategy to clean the river, other factors were reviewed including rainfall data, migration, and other activities. The results revealed that all the monitoring stations have improved water quality index ranging from 3 to 45 between March to June 2020. The River Ganga at Haridwar showed a two-fold improvement in the water quality index making it the highest positive impact of the lockdown, and at Rishikesh, the water quality index showed the least changes. The average decrease in RWQI has been observed to be 13 units in the year 2020 as compared to 2019 between March to June. In October 2020, RWQI has been observed to be higher as compared to the years 2019 and 2021. This is possibly due to a shift in rainfall patterns and other factors such as evapotranspiration, precipitation, and atmospheric temperature involved in river water quality control. Up to 60% reduction in average total coliforms and fecal coliforms has been observed due to the nationwide lockdown and a shift in human behavior towards cleaner and sustainable approaches.

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The application study of the revised IMPROVE atmospheric extinction algorithm in atmospheric chemistry model focusing on improving low visibility prediction in eastern China

Han,

Wang,

Peng

et al. 2024

Atmospheric Research

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Unexpected rise of atmospheric secondary aerosols from biomass burning during the COVID-19 lockdown period in Hangzhou, China

Cited by 6 publications

References 66 publications

COVID‐19 Pandemic Reveals Distinct Impact of Aerosols on Surface Solar Radiation in China

COVID‐19 Pandemic Reveals Distinct Impact of Aerosols on Surface Solar Radiation in China

Impact of COVID-19 Nationwide Lockdowns and Unlock Phases in India on River Water Quality of Upper Part of the Ganga River

The application study of the revised IMPROVE atmospheric extinction algorithm in atmospheric chemistry model focusing on improving low visibility prediction in eastern China

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