scholarly journals Supplementary material to "Changes in source contributions of particulate matter during COVID-19 pandemic in the Yangtze River Delta, China"

2021 ◽  
Author(s):  
Jinlong Ma ◽  
Juanyong Shen ◽  
Peng Wang ◽  
Shengqiang Zhu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Source Contributions ◽  
Supplementary Material ◽  
The Yangtze River Delta

scholarly journals Modeled changes in source contributions of particulate matter during the COVID-19 pandemic in the Yangtze River Delta, China

2021 ◽  
Vol 21 (9) ◽  
pp. 7343-7355
Author(s):  
Jinlong Ma ◽  
Juanyong Shen ◽  
Peng Wang ◽  
Shengqiang Zhu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Yangtze River ◽  
Organic Aerosol ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Emission Reductions ◽  
Source Contributions ◽  
The Yangtze River Delta

Abstract. Within a short time after the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei, the Chinese government introduced a nationwide lockdown to prevent the spread of the pandemic. The quarantine measures have significantly decreased the anthropogenic activities, thus improving air quality. To study the impacts caused by the lockdown on specific source sectors and regions in the Yangtze River Delta (YRD), the Community Multiscale Air Quality (CMAQ) model was used to investigate the changes in source contributions to fine particulate matter (PM2.5) from 23 January to 28 February 2020, based on different emission control cases. Compared to case 1 (without emission reductions), the total PM2.5 mass for case 2 (with emission reductions) decreased by more than 20 % over the entire YRD, and the reduction ratios of its components were 15 %, 16 %, 20 %, 43 %, 34 %, and 35 % in primary organic aerosol (POA), elemental carbon (EC), sulfate, nitrate, ammonium, and secondary organic aerosol (SOA), respectively. The source apportionment results showed that PM2.5 concentrations from transportation decreased by 40 %, while PM2.5 concentrations from the residential and power sectors decreased by less than 10 % due to the lockdown. Although all sources decreased, the relative contribution changed differently. Contributions from the residential sector increased by more than 10 % to 35 %, while those in the industrial sector decreased by 33 %. Considering regional transport, the total PM2.5 mass of all regions decreased 20 %–30 % in the YRD, with the largest decreased value of 5.0 µg m−3 in Henan, Hebei, Beijing, and Tianjin (Ha-BTH). In Shanghai, the lower contributions from local emissions and regional transmission (mainly Shandong and Ha-BTH) led to the reduced PM2.5. This study suggests adjustments of control measures for various sources and regions.

Long-term trend of haze pollution and impact of particulate matter in the Yangtze River Delta, China

2013 ◽  
Vol 182 ◽  
pp. 101-110 ◽  
Author(s):  
Zhen Cheng ◽  
Shuxiao Wang ◽  
Jingkun Jiang ◽  
Qingyan Fu ◽  
Changhong Chen ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
The Yangtze River ◽  
Term Trend ◽  
Haze Pollution ◽  
Long Term Trend ◽  
The Yangtze River Delta

scholarly journals Regional Inequality and Influencing Factors of Primary PM Emissions in the Yangtze River Delta, China

2019 ◽  
Vol 11 (8) ◽  
pp. 2269 ◽  
Author(s):  
Haibin Xia ◽  
Hui Wang ◽  
Guangxing Ji
Keyword(s):  
Particulate Matter ◽  
Influencing Factors ◽  
Regional Differences ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Theil Index ◽  
The Yangtze River ◽  
The Yrd ◽  
The Yangtze River Delta

In recent years, haze pollution has become more and more serious in the Yangtze River Delta (YRD). However, the impact mechanism of socio-economic factors on primary particulate matter (PM) emissions remains unclear. Based on the provincial primary PM emission data in the YRD from 1995 to 2014, this paper used Slope, Theil index, and Stochastic Impacts by Regression on Population, Affluence, and Technology (STIAPAT) models to quantitatively identify the regional differences of primary PM emissions and explore the key influencing factors. The results showed that primary fine particulate matter (PM2.5), inhalable particulate (PM10), and total suspended particulate (TSP) emissions all featured an upward trend of fluctuation over the study period. The regional differences in primary TSP emissions in the YRD region was gradually shrinking and the regional differences of primary PM2.5 and PM10 emissions presented a rising trend of fluctuation. The estimated coefficient of population size, energy structure, and fixed assets investment (FAI) were all significantly positive at the level of 1%. The negative effect of economic growth on energy PM emissions was significant under the level of 1%. The increase of foreign direct investment (FDI) had different effects on primary PM2.5, PM10, and TSP emissions. In addition, the influence of energy intensity on primary PM emission from energy consumption are mainly negative but not significant even under the level of 10%. These conclusions have guiding significance for the formulation of PM emission reduction policy without affecting YRD’s economic development.

scholarly journals Changes in source contributions of particulate matter during COVID-19 pandemic in the Yangtze River Delta, China

2021 ◽  
Author(s):  
Jinlong Ma ◽  
Juanyong Shen ◽  
Peng Wang ◽  
Shengqiang Zhu ◽  
Yu Wang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Air Quality ◽  
Yangtze River ◽  
Organic Aerosol ◽  
Yangtze River Delta ◽  
The Yangtze River ◽  
Emission Reductions ◽  
Source Contributions ◽  
The Yrd ◽  
The Yangtze River Delta

Abstract. Within a short time after the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei, the Chinese government took a nationwide lockdown to prevent the spread of the pandemic. The quarantine measures have significantly decreased the anthropogenic activities, and thus improving the air quality. To study the impacts caused by the lockdown on specific source sectors and regions in the Yangtze River Delta (YRD), the Community Multiscale Air Quality (CMAQ) model was used to investigate the changes in source contributions to fine particulate matter (PM2.5) from January 23 to February 28, 2020, based on different emission control cases. Compared to Case 1 (without emission reductions), the total PM2.5 mass for Case 2 (with emission reductions) decreased by larger than 20 % over the entire YRD and the reduction ratios of its components were 15 %, 16 %, 20 %, 43 %, 34 %, and 35 % in primary organic aerosol (POA), elemental carbon (EC), sulfate, nitrate, ammonium, and secondary organic aerosol (SOA), respectively. The source appointment results showed that PM2.5 concentrations from transportation decreased by 40 % while from residential and power decreased by less than 10 % due to the lockdown. Although all sources decreased, the relative contribution changed differently. Contributions of residential increased by more than 10 % to 35 %, while that of the industry decreased to 33 %. Considering the regional transport, the total PM2.5 mass of all regions decreased 20–30 % in the YRD with the largest decreased value of 5.0 μg m−3 in Henan, Hebei, Beijing, and Tianjin (Ha-BTH). In Shanghai, the lower contributions from local emissions and regional transmission (mainly Shandong and Ha-BTH) led to the reduced PM2.5. This study suggested adjustments of control measures for various sources and regions. Also, it was necessary to strengthen the regional collaboration at a large scale to improve the air quality in the YRD.

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