Historical evaluation of vehicle emission control in Guangzhou based on a multi-year emission inventory

Zhang, Shaojun; Wu, Ye; Liu, Huan; Wu, Ye; Zhou, Yu; Yao, Zhiliang; Fu, Liqun; He, Kebin; Hao, Jiming

doi:10.1016/j.atmosenv.2012.11.047

Cited by 64 publications

(28 citation statements)

References 26 publications

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“…Severe haze problems frequently hit many of China's cities in the past years, which requires national and local government to substantially mitigate vehicle emissions (Zhang et al, 2013(Zhang et al, , 2014a. Therefore, it is unprecedentedly essential to improve fuel quality by reducing hazardous constituents (e.g., sulphur), which is prerequisite for the application of advanced after-treatment devices (e.g., SCR; diesel particle filter, DPF), especially for HDDVs (Wu et al, 2012;Zhang et al, 2014aZhang et al, , 2014b.…”

Section: Recent Policy Progressmentioning

confidence: 99%

Fuel quality management versus vehicle emission control in China, status quo and future perspectives

Yue

Hao

et al. 2015

Energy Policy

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Section: Recent Policy Progressmentioning

confidence: 99%

Fuel quality management versus vehicle emission control in China, status quo and future perspectives

Yue

Hao

et al. 2015

Energy Policy

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“…Traffic restrictions for motorcycles and trucks and for yellow-label vehicles have also been implemented since 2007 and 2008, respectively. In addition, alternative fuels in buses and taxis have also been promoted in Guangzhou, and 75 and 94 % of these vehicles, respectively, were using liquefied petroleum gas by 2009 (Zhang et al, 2013). The early decline before 2010 in Shanghai shown in Fig.…”

Section: Interannual Trends Of No X Emissions For Individual Citiesmentioning

confidence: 99%

NO<sub><i>x</i></sub> emission trends over Chinese cities estimated from OMI observations during 2005 to 2015

et al. 2017

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Abstract. Satellite nitrogen dioxide (NO2) observations have been widely used to evaluate emission changes. To determine trends in nitrogen oxides (NOx) emission over China, we used a method independent of chemical transport models to quantify the NOx emissions from 48 cities and seven power plants over China, on the basis of Ozone Monitoring Instrument (OMI) NO2 observations from 2005 to 2015. We found that NOx emissions over 48 Chinese cities increased by 52 % from 2005 to 2011 and decreased by 21 % from 2011 to 2015. The decrease since 2011 could be mainly attributed to emission control measures in power sector; while cities with different dominant emission sources (i.e., power, industrial, and transportation sectors) showed variable emission decline timelines that corresponded to the schedules for emission control in different sectors. The time series of the derived NOx emissions was consistent with the bottom-up emission inventories for all power plants (r = 0. 8 on average), but not for some cities (r = 0. 4 on average). The lack of consistency observed for cities was most probably due to the high uncertainty of bottom-up urban emissions used in this study, which were derived from downscaling the regional-based emission data to city level by using spatial distribution proxies.

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“…Vehicle emissions are identified as one of the most important sources of urban air pollution (Kho et al 2007;Malakootian and Yaghmaeian 2004), especially in some megacities such as Beijing and Guangzhou (Du et al 2012;Hao et al 2001;Zhang et al 2013;Zhou et al 2010). China's government has been making great efforts to control vehicle emissions in order to improve urban air quality .…”

Section: Introductionmentioning

confidence: 99%

Impacts of load mass on real-world PM1 mass and number emissions from a heavy-duty diesel bus

Wang

Jiang

et al. 2014

Int. J. Environ. Sci. Technol.

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On-road emission profiles of ultra-fine particle matter with aerodynamic diameter \1 lm (PM 1 ) were obtained from a Euro IV diesel bus in Beijing under two typical load mass conditions. PM 1 mass and number emissions were recorded second by second using an electrical low-pressure impactor (ELPI). An on-road driving mode binning method was applied to relate instantaneous emission rate with real-time on-road driving conditions, and an engine-operating mode binning method was used to explore the impacts of engine load on PM 1 emission characteristics. Our results show that higher load mass will increase both particle mass and number emissions. Measured PM 1 mass emission factors were 0.147 and 0.185 g/ km under low and high load mass conditions, respectively. PM 1 number emission factors were 3.71 9 10 13 and 4.58 9 10 13 #/km. In addition, load mass also influenced the size-resolved concentration of PM mass and number from that sampled bus. For example, under low load mass conditions, an obvious peak of PM number concentration was observed situated in the second channel of the ELPI corresponding to the median diameter 63 nm. By contrast, peak concentration of the PM number was increased under high load mass conditions and situated in the third channel of the ELPI corresponding to the median diameter 109 nm.

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Historical evaluation of vehicle emission control in Guangzhou based on a multi-year emission inventory

Cited by 64 publications

References 26 publications

Fuel quality management versus vehicle emission control in China, status quo and future perspectives

Fuel quality management versus vehicle emission control in China, status quo and future perspectives

NO<sub><i>x</i></sub> emission trends over Chinese cities estimated from OMI observations during 2005 to 2015

Impacts of load mass on real-world PM1 mass and number emissions from a heavy-duty diesel bus

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Historical evaluation of vehicle emission control in Guangzhou based on a multi-year emission inventory

Cited by 64 publications

References 26 publications

Fuel quality management versus vehicle emission control in China, status quo and future perspectives

Fuel quality management versus vehicle emission control in China, status quo and future perspectives

NO&lt;sub&gt;&lt;i&gt;x&lt;/i&gt;&lt;/sub&gt; emission trends over Chinese cities estimated from OMI observations during 2005 to 2015

Impacts of load mass on real-world PM1 mass and number emissions from a heavy-duty diesel bus

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NO<sub><i>x</i></sub> emission trends over Chinese cities estimated from OMI observations during 2005 to 2015