A WRF-Chem model-based future vehicle emission control policy simulation and assessment for the Beijing-Tianjin-Hebei region, China

Zhang, Qianru; Tong, Peifeng; Liu, Maodian; Lin, Huiming; Yun, Xiao; Zhang, Haoran; Wei, Tao; Liu, Junfeng; Wang, Shuxiao; Tao, Shu; Wang, Xuejun

doi:10.1016/j.jenvman.2019.109751

Cited by 41 publications

(15 citation statements)

References 70 publications

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“…With regard to vehicle management, low-emission areas should be regularly expanded by managing high-emission vehicles, such as high-duty diesel vehicles, and improving enforcement [29].…”

Section: Future Plans Regarding Air Pollution Control In Beijingmentioning

confidence: 99%

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

et al. 2020

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The Beijing government initiated the Clean Air Action Plan (CAAP) in 2013. Through a series of actions to control air pollution, the emissions of major atmospheric pollutants are reduced to improve urban air quality. In order to evaluate the effectiveness of control measures taken to mitigate atmospheric pollution, we investigated and analyzed the implementation of the CAAP in Beijing from 2013 to 2017, estimating the corresponding reduction in emissions of major air pollutants. The contribution of different control measures to the improvement of air quality was quantified and the experiences of managing air pollution were summarized, which provided references for the continuous improvement of air quality in Beijing and the surrounding areas. The results showed that the emission of SO 2 , NO X , PM 10 , PM 2.5 , and VOCs from air pollution source have been decreased by 119,924, 116,091, 116,810, 46,652, and 97,267 tons after the implementation of the CAAP. The sum of these five air pollutants emissions have been reduced by 39% in 2017 compared with 2013, the largest decrease in SO 2 emissions was 87%, which was related to the vigorous control on coal-fired combustion. The control measure with the greatest contribution to decreasing the ambient PM 2.5 concentration was the clean energy transformation of coal-fired power plants, which contributed 27% of the total reduced concentration and 6.1 µg/m 3 of the average PM 2.5 concentration reduction in Beijing. Clean Residential coal use also significantly decreased the PM 2.5 concentration by 5.4 µg/m 3 , which was 23% of the total reduction. In addition, the industrial restructuring and the management of automotive vehicle use and dust could also contribute to efficiently reducing the PM 2.5 concentration by 4.0, 3.2, and 2.3 µg/m 3 , or 17%, 14%, and 10% of the total reduction, respectively. Due to the implementation of control measures of Clean Air Action Plan, the energy and industrial structure of Beijing have been adjusted and optimized, leading to the reduction of pollutant emissions, which is the secret of urban long-term air quality improvement.

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“…With regard to vehicle management, low-emission areas should be regularly expanded by managing high-emission vehicles, such as high-duty diesel vehicles, and improving enforcement [29].…”

Section: Future Plans Regarding Air Pollution Control In Beijingmentioning

confidence: 99%

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

et al. 2020

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“…Moreover, given the gradual withdrawal of financial subsidies on EV purchases, it is of vital importance to innovate EV popularization policies, such as the operation subsidy on electric trucks, the construction of green logistics zones, and the preferential treatment of right-of-way and parking. On the other hand, Shenzhen needs to reinforce its cooperation with other cities in the GBA region to electrify fleets and upgrade vehicle standards. − As one of the GBA’s leading cities, this city should play an active role to facilitate regional communication and cooperation in the planning of charging infrastructures and battery exchange networks, the cultivation of emerging industries such as charging station operation and battery recycling, and the enforcement of stricter standards on fuel economy, oil quality, and exhaust emissions. The great importance of regional cooperation on traffic emission control is also observed in many other megacities, such as Shanghai in China, São Paulo in Brazil, and Tehran in Iran .…”

Section: Discussion and Policy Implicationsmentioning

confidence: 99%

Two-Tier Synergic Governance of Greenhouse Gas Emissions and Air Pollution in China’s Megacity, Shenzhen: Impact Evaluation and Policy Implication

Jiang

Yao

Shao

et al. 2021

Environ. Sci. Technol.

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Making a cost-effective governance of greenhouse gas (GHG) emissions and air pollution is of great importance for megacities to pursue a sustainable future. To achieve this, the present study advocates megacities to implement a two-tier synergic governance system consisting of both synergic governance between GHG and air pollutant emission reductions and between megacities and their surrounding regions. Based on the LEAP model and WRF-SMOKE-CMAQ simulation platform, this study found that climate governance of China's megacity, Shenzhen, could synergistically contribute to decreasing urban annual PM 2.5 concentration by 5.6% in 2030. Using synergic governance with surrounding regions could further help cap and then quickly decrease the megacity's GHG emissions and lower its PM 2.5 concentrations by an additional 11.8%. The results demonstrated the substantial effects of transdepartment and transregional synergic governance on Shenzhen's GHG emission reduction and air quality improvement. Furthermore, this study suggested road transportation and power generation and supply as the two priority fields for wide-ranging megacities to promote two-tier synergic governance, highlighting an integration of improved urban electrification with high-efficiency electricity use and a renewable-based power supply.

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“…These variations are due mainly to the temporal and spatial differences in the emission of different precursors and photochemical reactions. Of course, anthropogenic emissions are also the main factors influencing the temporal and spatial differences in PM 2.5 concentrations in China and even at the global scale [58][59][60].…”

Section: Discussionmentioning

confidence: 99%

Effects of Anthropogenic Emissions from Different Sectors on PM2.5 Concentrations in Chinese Cities

Yang

Liu

Song

et al. 2021

IJERPH

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PM2.5 pollution has gradually attracted people’s attention due to its important negative impact on public health in recent years. The influence of anthropogenic emission factors on PM2.5 concentrations is more complicated, but their relative individual impact on different emission sectors remains unclear. With the aid of the geographic detector model (GeoDetector), this study evaluated the impacts of anthropogenic emissions from different sectors on the PM2.5 concentrations of major cities in China. The results indicated that the influence of anthropogenic emissions factors with different emission sectors on PM2.5 concentrations exhibited significant changes at different spatial and temporal scales. Residential emissions were the dominant driver at the national annual scale, and the NOX of residential emissions explained 20% (q = 0.2) of the PM2.5 concentrations. In addition, residential emissions played the leading role at the regional annual scale and during most of the seasons in northern China, and ammonia emissions from residents were the dominant factor. Traffic emissions play a leading role in the four seasons for MUYR and EC in southern China, MYR and NC in northern China, and on a national scale. Compared with primary particulate matter, secondary anthropogenic precursors have a more important effect on PM2.5 concentrations at the national or regional annual scale. The results can help to strengthen our understanding of PM2.5 pollution, improve PM2.5 forecasting models, and formulate more precise government control policy.

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A WRF-Chem model-based future vehicle emission control policy simulation and assessment for the Beijing-Tianjin-Hebei region, China

Cited by 41 publications

References 70 publications

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

Environmental Effective Assessment of Control Measures Implemented by Clean Air Action Plan (2013–2017) in Beijing, China

Two-Tier Synergic Governance of Greenhouse Gas Emissions and Air Pollution in China’s Megacity, Shenzhen: Impact Evaluation and Policy Implication

Effects of Anthropogenic Emissions from Different Sectors on PM2.5 Concentrations in Chinese Cities

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