Mitigation pathways of air pollution from residential emissions in the Beijing-Tianjin-Hebei region in China

Li, Jun; Kiesewetter, Gregor; Klimont, Zbigniew; Cofała, J.; Heyes, C.; Schöpp, Wolfgang; Zhu, Tong; Cao, Guiying; Gómez-Sanabria, Adriana; Sander, Robert K.; Guo, Fei; Zhang, Qiang; Nguyen, Thanh Binh; Bertok, I.; Rafaj, Peter; Amann, Markus

doi:10.1016/j.envint.2018.09.059

Cited by 77 publications

(56 citation statements)

References 42 publications

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“…In general, the monthly average PM 2.5 concentration presents a U-shaped curve. The PM 2.5 concentration is higher in winter (December, January, and February), approximately 101.64 µg/m 3…”

Section: Pm 25 Pollution Characteristicsmentioning

confidence: 94%

“…With rapid socioeconomic development, accelerated industrialization, and continuously increasing energy consumption, particulates have become major urban air pollutants in China [1][2][3]. In particular, fine particulates PM 2.5 can not only reduce atmospheric visibility but also increase mortality and incidence of diseases such as respiratory diseases [4][5][6], and these particulates have aroused great public concern and attention.…”

Section: Introductionmentioning

confidence: 99%

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Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Dai

Liu

et al. 2020

Applied Sciences

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As air pollution becomes progressively more serious, accurate identification of urban air pollution characteristics and associated pollutant transport mechanisms helps to effectively control and alleviate air pollution. This paper investigates the pollution characteristics, transport pathways, and potential sources of PM2.5 in Weifang based on PM2.5 monitoring data from 2015 to 2016 using three methods: Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), the potential source contribution function (PSCF), and concentration weighted trajectory (CWT). The results show the following: (1) Air pollution in Weifang was severe from 2015 to 2016, and the annual average PM2.5 concentration was more than twice the national air quality second-level standard (35 μg/m3). (2) Seasonal transport pathways of PM2.5 vary significantly: in winter, spring and autumn, airflow from the northwest and north directions accounts for a large proportion; in contrast, in summer, warm-humid airflows from the ocean in the southeastern direction dominate with scattered characteristics. (3) The PSCF and CWT results share generally similar characteristics in the seasonal distributions of source areas, which demonstrate the credibility and accuracy of the analysis results. (4) More attention should be paid to short-distance transport from the surrounding areas of Weifang, and a joint pollution prevention and control mechanism is critical for controlling regional pollution.

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Section: Pm 25 Pollution Characteristicsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Dai

Liu

et al. 2020

Applied Sciences

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“…A summary of all critical air pollution control plans, policies, and regulations is presented in Figure 11. Early efforts, such as the national Five-Year Plans, which focused on economic restructuring to reduce air pollutant emissions, mainly addressed large point sources in the power and industry sectors, as they were responsible for major shares of total emissions [51]. Other government-mandated measures involved the application of state-of-the-art "clean" production technologies to replace fossil fuels and facilitating the development of clean energy, such as wind and solar power.…”

Section: Positive Effects Of Air Pollution Controlmentioning

confidence: 99%

“…Therefore, it can be inferred that, because of the implementation of policies and measures for air pollution control, the air quality has improved. sources in the power and industry sectors, as they were responsible for major shares of total emissions [51]. Other government-mandated measures involved the application of state-of-the-art "clean" production technologies to replace fossil fuels and facilitating the development of clean energy, such as wind and solar power.…”

Section: Positive Effects Of Air Pollution Controlmentioning

confidence: 99%

Analysis of Spatio-temporal Characteristics and Driving Forces of Air Quality in the Northern Coastal Comprehensive Economic Zone, China

Lin

et al. 2020

Sustainability

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Comprehensive analysis of air quality is essential to underpin knowledge-based air quality conservation policies and funding decisions by governments and managers. In this paper, air quality change characteristics for the Northern Coastal Comprehensive Economic Zone from 2008 to 2018 were analyzed using air quality indices. The spatio-temporal pattern of air quality was identified using centroid migration, spatial autocorrelation analysis and spatial analysis in a geographic information system (GIS). A spatial econometric model was established to confirm the natural and anthropogenic factors affecting air quality. Results showed that air pollution decreased significantly. PM2.5, PM10, and O3 were the primary pollutants. The air quality exhibited an inverted U-shaped trend from January to December, with the highest quality being observed in summer and the lowest during winter. Spatially, the air quality showed an increasing trend from inland to the coast and from north to south, with significant spatial autocorrelation and clustering. Population, energy consumption, temperature, and atmospheric pressure had significant negative impacts on air quality, while wind speed had a positive impact. This study offers an efficient and effective method to evaluate air quality change. The research provides important scientific information necessary for developing future air pollution prevention and control.

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“…In particular, coal consumption for power generation accounted for 35% of the total coal consumption [52]. Numerous studies have shown that fossil fuel burning is closely related to primary particulate matter emissions and secondary aerosol generation [30,[53][54][55]. The high energy consumption industry-intensive structure resulted in the heavy dependence of Shandong Province industry on energy.…”

Section: Study Areamentioning

confidence: 99%

Investigating the Influence of the Implementation of an Energy Development Plan on Air Quality Using WRF-CAMx Modeling Tools: A Case Study of Shandong Province in China

Luo

Chen

et al. 2019

Atmosphere

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In this paper, the Weather Research Forecast (WRF) Comprehensive Air Quality Model with Extensions (CAMx) modeling system with the particulate source apportionment technology (PSAT) module was used to study and analyze the spatial and temporal distribution of atmospheric pollutant concentrations and the source apportionment of fine particles (PM2.5) under the base year and an emission reduction scenario in the Shandong province, China. Our results show that industry is the largest contributor of PM2.5. In addition, the contribution of key energy-related industries was as high as 29.5%, with the thermal power industry being the largest individual contributor. In January, the largest contribution came from residents, reaching 41.3%. Moreover, loose coal burning in rural areas contributed up to 19.4% in winter. Our results also show that the emission reduction scenario had palpable effects on the reduction of air pollution. The more the emissions of SO2, NOx, PM2.5, and PM10 were reduced, the more the average concentration was decreased. The implementation of energy conservation and emission reduction policies by industry and resident is conducive to improving the quality of the atmospheric environment. In particular, a comprehensive control of loose coal burning in winter could significantly improve heavy pollution by particulate matter in winter.

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Mitigation pathways of air pollution from residential emissions in the Beijing-Tianjin-Hebei region in China

Cited by 77 publications

References 42 publications

Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Transport Pathways and Potential Source Region Contributions of PM2.5 in Weifang: Seasonal Variations

Analysis of Spatio-temporal Characteristics and Driving Forces of Air Quality in the Northern Coastal Comprehensive Economic Zone, China

Investigating the Influence of the Implementation of an Energy Development Plan on Air Quality Using WRF-CAMx Modeling Tools: A Case Study of Shandong Province in China

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