scholarly journals Modelling the effect of local and regional emissions on PM2.5 concentrations in Wuhan, China during the COVID-19 lockdown

Author(s):  
Bai Yong-Qing ◽  
Wang Ying ◽  
Kong Shao-Fei ◽  
Zhao Tian-Liang ◽  
Zhi Xie-Fei ◽  
...  
Keyword(s):  
2020 ◽  
Vol 11 (03) ◽  
pp. 2041004
Author(s):  
CHENFEI QU ◽  
XI YANG ◽  
DA ZHANG ◽  
XILIANG ZHANG

Climate policies can bring local air quality and health co-benefits, which may partially or entirely offset the costs of implementing these policies. In this study, we introduce an integrated health co-benefits assessment model, the Regional Emissions-Air quality-Climate-Health (REACH) Modeling Framework, which is capable of evaluating the impact of policies on air pollution-related mortality and morbidity in the whole economic system overtime at the provincial level for China. We first provide a detailed description of the modeling framework and conduct a case study to estimate the health benefits of different climate policy scenarios. We show that a scenario consistent with the 2∘C target that peaks China’s emissions before 2025 could avoid around 190 thousand premature deaths in 2030. The health benefits could partially or fully cover the policy costs under different assumptions of the value of a statistical life (VSL). Our framework also illustrates that estimated costs and health benefits distribute unevenly across regions in China.


2016 ◽  
Vol 227 (3) ◽  
Author(s):  
George P. Ingersoll ◽  
Debra C. Miller ◽  
Kristi H. Morris ◽  
Jill A. McMurray ◽  
Garrett Port ◽  
...  

2016 ◽  
Vol 15 (3) ◽  
pp. 255
Author(s):  
Jaime Vallés Giménez ◽  
Juan A. Román Aso

2016 ◽  
Vol 16 (5) ◽  
pp. 3013-3032 ◽  
Author(s):  
Narendra Ojha ◽  
Andrea Pozzer ◽  
Armin Rauthe-Schöch ◽  
Angela K. Baker ◽  
Jongmin Yoon ◽  
...  

Abstract. We compare in situ measurements of ozone (O3) and carbon monoxide (CO) profiles from the CARIBIC program with the results from the regional chemistry transport model (WRF-Chem) to investigate the role of local and regional emissions and long-range transport over southern India during the summer monsoon of 2008. WRF-Chem successfully reproduces the general features of O3 and CO distributions over the South Asian region. However, absolute CO concentrations in the lower troposphere are typically underestimated. Here we investigate the influence of local relative to remote emissions through sensitivity simulations. The influence of 50 % increased CO emissions over South Asia leads to a significant enhancement (upto 20 % in July) in upper tropospheric CO in the northern and central Indian regions. Over Chennai in southern India, this causes a 33 % increase in surface CO during June. However, the influence of enhanced local and regional emissions is found to be smaller (5 %) in the free troposphere over Chennai, except during September. Local to regional emissions are therefore suggested to play a minor role in the underestimation of CO by WRF-Chem during June–August. In the lower troposphere, a high pollution (O3: 146.4 ± 12.8, CO: 136.4 ± 12.2 nmol mol−1) event (15 July 2008), not reproduced by the model, is shown to be due to transport of photochemically processed air masses from the boundary layer in southern India. A sensitivity simulation combined with backward trajectories indicates that long-range transport of CO to southern India is significantly underestimated, particularly in air masses from the west, i.e., from Central Africa. This study highlights the need for more aircraft-based measurements over India and adjacent regions and the improvement of global emission inventories.


2004 ◽  
Vol 38 (2) ◽  
pp. 364-366 ◽  
Author(s):  
M. Aslam K. Khalil ◽  
Reinhold A. Rasmussen

2011 ◽  
Vol 1 (7) ◽  
pp. 347-349 ◽  
Author(s):  
Yongfu Huang ◽  
Jingjing He
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