Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications

Yin, Xiaohong; Huang, Zhijiong; Zheng, Junyu; Yuan, Zibing; Zhu, Wenbo; Huang, Xiaobo; Chen, Duohong

doi:10.1016/j.atmosres.2016.11.007

Cited by 51 publications

(27 citation statements)

References 27 publications

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“…In Southern China, the CO emissions decreased in the PRD but increased in eastern and western Guangdong Province and southern Guangxi Province. Guangdong government proposed the macrocontrol strategy of “Bi‐transfer” in which the eastern and western wings of Guangdong and the mountainous area of northern Guangdong actively undertake industrial transfer in the PRD to solve the problem of unbalanced regional economic development and promote ecological civil civilization (Bian et al, 2019; Jing et al, 2017; X. Yin et al, 2017). This may lead to increased emissions from the center to the periphery (L. Chen, Xu, & Yang, 2017; Wei et al, 2019; Xiao et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017

Feng

Jiang

Wu³

et al. 2020

JGR Atmospheres

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China has implemented active clean air policies in recent years, and the spatiotemporal patterns of major pollutant emissions have changed substantially. In this study, we construct a regional air pollution data assimilation system based on the WRF/CMAQ model and ensemble Kalman filter algorithm to quantitatively optimize gridded CO emissions using hourly surface CO measurements over China. The Multi‐resolution Emission Inventory of China CO emission inventories in December 2012 and 2016 are treated as prior emissions, and the CO emissions in December 2013 and 2017 are optimized using the CO observations of December of 2013 and 2017, respectively. The results show that in both periods, assimilation of CO observations significantly improves the CO simulations and emission estimates. Assimilation increases the CO emissions in most areas of mainland China, especially in northern China, and the spatial patterns of the increases in the two periods are similar. Overall, the posterior CO emissions in December 2017 are 17% lower than those in December 2013. Large emission decreases are mainly found in most key urban areas and developed regions, and emission increases are mainly located in their surrounding areas and certain central and western regions, which might reflect the emission migration from developed regions or urban areas to developing regions or surrounding areas. These changes are not found in the prior emissions but are basically consistent with the emission control strategies and industrial transformation and upgrade phenomena in recent years, indicating that our CO assimilation system could successfully capture the temporal and spatial variations.

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Section: Discussionmentioning

confidence: 99%

CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017

Feng

Jiang

Wu³

et al. 2020

JGR Atmospheres

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“…A highly resolved spatial anthropogenic emission inventory for PRD was conducted by South China University of Technology for the base year 2012 (Yin et al, 2017). The data shows that the highest density of PM 2.5 combustion sources (including power plants and industrial combustion) and industrial processes emissions were concentrated within 30 km to the west and northwest of the Foshan EMC as presented in Fig.…”

Section: Sources Identification and Apportionment Of Pmmentioning

confidence: 99%

High-resolution sampling and analysis of ambient particulate matter in the Pearl River Delta region of southern China: source apportionment and health risk implications

et al. 2018

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Abstract. Hazardous air pollutants, such as trace elements in particulate matter (PM), are known or highly suspected to cause detrimental effects on human health. To understand the sources and associated risks of PM to human health, hourly time-integrated major trace elements in sizesegregated coarse (PM 2.5-10 ) and fine (PM 2.5 ) particulate matter were collected at the industrial city of Foshan in the Pearl River Delta region, China. Receptor modeling of the data set by positive matrix factorization (PMF) was used to identify six sources contributing to PM 2.5 and PM 10 concentrations at the site. Dominant sources included industrial coal combustion, secondary inorganic aerosol, motor vehicles and construction dust along with two intermittent sources (biomass combustion and marine aerosol). The biomass combustion source was found to be a significant contributor to peak PM 2.5 episodes along with motor vehicles and industrial coal combustion. Conditional probability function (CPF) analysis was applied to estimate the source locations using the PMF-resolved source contribution coupled with the surface wind direction data. Health exposure risk of hazardous trace elements (Pb, As, Si, Cr, Mn and Ni) and source-specific values were estimated. The total hazard quotient (HQ) of PM 2.5 was 2.09, higher than the acceptable limit (HQ = 1). The total carcinogenic risk (CR) was 3.37 × 10 −3 for PM 2.5 , which was 3 times higher than the least stringent limit (1.0 × 10 −4 ). Among the selected trace elements, As and Pb posed the highest non-carcinogenic and carcinogenic risks to human health, respectively. In addition, our results show that the industrial coal combustion source is the dominant non-carcinogenic and carcinogenic risk contributor, highlighting the need for stringent control of this source. This study provides new insight for policy makers to prioritize sources in air quality management and health risk reduction.

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“…The two Chinese provinces connected to GT, Guangxi, and Guangdong, contributed around 13.07% of the total GDP in China in 2018 [13]. Economic activity has a close connection to the emission of pollutants, and a lot of relative studies concerning the issue of air pollution in these two provinces have been reported [14][15][16][17]. Moreover, springtime emissions from biomass burning in the Indochina Peninsula often cause serious air pollution and can sometimes influence the air quality in the downwind regions by long-range transport [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Levels, Sources and Toxicity Risks of Polycyclic Aromatic Hydrocarbons at an Island Site in the Gulf of Tonkin

Yang

Liu

Gao

et al. 2020

IJERPH

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The varying concentrations of polycyclic aromatic hydrocarbons (PAHs) at remote islands is an important indicator, demonstrating the contributions from different regional combustion sources. In this study, gaseous and particulate PAHs were measured at Weizhou Island in the Gulf of Tonkin from 15th March to 14th April, 2015. The concentrations of PAHs ranged from 116.22 to 186.74 ng/m3 and from 40.19 to 61.86 ng/m3 in gas and particulate phase, respectively, which were much higher than those of some remote sites in Asia. Phenanthrene, fluoranthene, pyrene, and chrysene, which were mainly found in diesel vehicle emissions, had relatively high concentrations in both gas and particulate phases. According to the comprehensive results of back trajectory cluster analysis and diagnostic ratios, the local vessel emission was probably the main source of PAHs, which was much more important than the coal and biomass combustion sources from remoter regions. The toxicities represented by ∑PAH7, benzo(a)pyrene-equivalent carcinogenic power, and 2,3,7,8-tetrachlorodibenzo-p-dioxin-based total toxicity potency are much higher in particulate phase than those in gas phase. However, the toxicities of gas phase should not be neglected from the point of view of indirect-acting mutagenicities due to the high contribution of fluoranthene.

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Source contributions to PM2.5 in Guangdong province, China by numerical modeling: Results and implications

Cited by 51 publications

References 27 publications

CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017

CO Emissions Inferred From Surface CO Observations Over China in December 2013 and 2017

High-resolution sampling and analysis of ambient particulate matter in the Pearl River Delta region of southern China: source apportionment and health risk implications

Levels, Sources and Toxicity Risks of Polycyclic Aromatic Hydrocarbons at an Island Site in the Gulf of Tonkin

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