Evaluation of ambient air quality in Guangzhou, China

Zhou, Kai; Ye, You-hua; Liu, Qiang; Liu, Aijun; Shaolin, Peng

doi:10.1016/s1001-0742(07)60072-2

Cited by 59 publications

(37 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As suggested by previous studies (Tan et al, 2006;Bi et al, 2003;Zhou et al, 2007;Shao, 2001) and the emission inventory of Streets et al (2003), the transport sector could be an important source of BC in Guangzhou, as it accounts for about 30% of total BC emissions (Table 1). Figure 2 illustrates the hourly averaged diurnal variations of traffic volume comprising heavy-duty (HDV), medium-duty (MDV), and light-duty vehicles (LDV) on the Dongfeng Middle Road, recorded during 18-24 July 1999, and 12-18 October 1999 (Xie et al, 2003).…”

Section: Emissions Of Bc Co and Comentioning

confidence: 72%

Temporal variations of black carbon in Guangzhou, China, in summer 2006

et al. 2010

View full text Add to dashboard Cite

Abstract. In situ measurements of the mass concentration of black carbon (BC) and mixing ratios of carbon monoxide (CO) and carbon dioxide (CO 2 ) were made at Guangzhou, an urban measurement site in the Pearl River Delta (PRD), China, in July 2006. The average ± standard deviation (SD) concentrations of BC, CO, and CO 2 were 4.7±2.3 µgC m −3 , 798±459 ppbv, and 400±13 ppmv, respectively. The trends of these species were mainly controlled by synoptic-scale changes in meteorology during the campaign. Based on back trajectories, data are analyzed separately for two different air mass types representing northerly and southerly flows. The northerly air masses, which constituted ∼25% of the campaign, originated mostly in the PRD and hence represent observations on regional scales. On the other hand, during southerly flow (∼75%), the measurements were influenced by dilution due to cleaner marine air. The diurnal patterns of BC, CO, and CO 2 exhibited peak concentrations during the morning and evening hours coinciding with rush-hour traffic. The ratios of OC/BC were lower during the morning hour peaks in the concentrations of primary pollutants due to their fresh emissions mainly from vehicular traffic in Guangzhou. The diurnal variations of BC observed in southerly airCorrespondence to: Y. Kondo (y.kondo@atmos.rcast.u-tokyo.ac.jp) masses tended to follow the traffic patterns of heavy-duty vehicles (HDV) in Guangzhou, while the roles of other sources need to be investigated. The slopes of BC/ CO, BC/ CO 2 , and CO/ CO 2 observed during northerly flows were 0.0045 µgC m −3 /ppbv, 0.13 µgC m −3 /ppmv, and 49.4 ppbv/ppmv, respectively, agreeing reasonably with their respective emission ratios derived from regional emission inventories.

show abstract

Section: Emissions Of Bc Co and Comentioning

confidence: 72%

Temporal variations of black carbon in Guangzhou, China, in summer 2006

et al. 2010

View full text Add to dashboard Cite

show abstract

“…It shows the social economic activities are complex [32], multi-variable, mutual interaction [33], and directly or indirectly have great roles on air pollution [34][35][36]. Another unexpected discovery is that the indicators with less effect on PM 2.5 , have high influence in PM 10 , SO 2 and, NOx, and vice versa.…”

Section: Resultsmentioning

confidence: 98%

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Zheng

Yin

et al. 2017

Open Geosciences

View full text Add to dashboard Cite

Abstract:With the rapid economic development, the serious air pollution in Beijing attracts increasing attention in the last decade. Seen as one whole complex and grey system, the causal relationship between the social development and the air pollution in Beijing has been quantitatively analyzed in this paper. By using the grey relational model, the aim of this study is to explore how the socio-economic and human activities affect on the air pollution in the city of Beijing, China. Four air pollutants, as the particulate matter with size 2.5 micrometers or less (PM 2.5 ), particulate matter with size 10 micrometers or less (PM 10 ), sulfur dioxide (SO 2 ) and nitrogen dioxide (NOx), are selected as the indicators of air pollution. Additionally, fifteen socio-economic indicators are selected to account for the regional socio-economic characteristics (economy variables, energy consumption variables, pollution emissions variables, environment and construction activity variables). The results highlight that all variables are associated with the concentrations of the four selected air pollutants, but with notable differences between the air pollutants. Most of the socio-economic indicators, such as industrial output, total energy consumption are highly correlated with PM 2.5 , while PM 10 , SO 2 , and NOx present in general moderate correlations with most of the socioeconomic variables. Contrary to other studies and reports this study reveals that vehicles and life energy do not have

show abstract

“…But different from developed countries which experienced hundreds years of history on pollution and control, the changes in Beijing are taking place in shorter time within several decades which can multiply the effect and caused may be even more complex problems. The rapid development of Beijing has resulted in serious air pollution problems that the air quality of Beijing was not only worse than many international cities in Europe and North America, but was also worse than many domestic cities (World Bank, 2007;Zhou et al, 2007). Meanwhile significant efforts have been made to improve the air quality in Beijing, particularly since 1998.…”

Section: Introductionmentioning

confidence: 99%