Shaojie Zhuo
Peking University
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Featured researches published by Shaojie Zhuo.
Environmental Science & Technology | 2014
Ye Huang; Huizhong Shen; Han Chen; Rong Wang; Yanyan Zhang; Shu Su; Yuanchen Chen; Nan Lin; Shaojie Zhuo; Qirui Zhong; Xilong Wang; Junfeng Liu; Bengang Li; Wenxin Liu; Shu Tao
Emission quantification of primary particulate matter (PM) is essential for assessment of its related climate and health impacts. To reduce uncertainty associated with global emissions of PM2.5, PM10, and TSP, we compiled data with high spatial (0.1° × 0.1°) and sectorial (77 primary sources) resolutions for 2007 based on a newly released global fuel data product (PKU-FUEL-2007) and an emission factor database. Our estimates for developing countries are higher than those previously reported. Spatial bias associated with large countries could be reduced by using subnational fuel consumption data. Additionally, we looked at temporal trends from 1960 to 2009 at country-scale resolution. Although total emissions are still increasing in developing countries, their intensities in terms of gross domestic production or energy consumption have decreased. PM emitted in developed countries is finer owing to a larger contribution from nonindustrial sources and use of abatement technologies. In contrast, countries like China, with strong industry emissions and limited abatement facilities, emit coarser PM. The health impacts of PM are intensified in hotspots and cities owing to covariance of sources and receptors. Although urbanization reduces the per person emission, overall health impacts related to these emissions are heightened because of aggregation effects.
Environmental Pollution | 2015
Wei Li; Chen Wang; Huizhong Shen; Shu Su; Guofeng Shen; Ye Huang; Yanyan Zhang; Yuanchen Chen; Han Chen; Nan Lin; Shaojie Zhuo; Qirui Zhong; Xilong Wang; Junfeng Liu; Bengang Li; Wenxin Liu; Shu Tao
Twelve nitro-PAHs (nPAHs) and four oxy-PAHs (oPAHs) were measured in air samples for 12 months at 18 sites in urban settings, rural villages, or rural fields in northern China. The nPAH concentrations were higher in urban areas (1.3 ± 1.3 ng/m(3)), and nPAH/parent PAH ratios were higher (suggesting important contributions from motor vehicles and secondary formation) in urban sites than in rural villages. oPAHs are primarily emitted from solid fuel combustion and motor vehicles, and similar oPAH concentrations were found in urban areas (23 ± 20 ng/m(3)) and rural villages (29 ± 24 ng/m(3)). The high numbers of motor vehicles in Beijing and intensive industrial activity in Taiyuan and Dezhou caused higher nPAH concentrations. No spatial trend in oPAH concentrations was found in the rural villages, because similar oPAH mixtures are emitted from solild fuel combustion. The nPAH and oPAH concentrations were higher in the winter, and correlated with residential energy consumption and precipitation.
Indoor Air | 2017
Chen Y; Wei Du; Guofeng Shen; Shaojie Zhuo; Xi Zhu; Huizhong Shen; Yining Huang; Shu Su; Nan Lin; Lijun Pei; Xiaoying Zheng; Jilei Wu; Yonghong Duan; Wang X; Wen-Xiu Liu; Ming Hung Wong; Shu Tao
Residential solid fuels are widely consumed in rural China, contributing to severe household air pollution for many products of incomplete combustion, such as polycyclic aromatic hydrocarbons (PAHs) and their polar derivatives. In this study, concentrations of nitrated and oxygenated PAH derivatives (nPAHs and oPAHs) for household and personal air were measured and analyzed for influencing factors like smoking and cooking energy type. Concentrations of nPAHs and oPAHs in kitchens were higher than those in living rooms and in outdoor air. Exposure levels measured by personal samplers were lower than levels in indoor air, but higher than outdoor air levels. With increasing molecular weight, individual compounds tended to be more commonly partitioned to particulate matter (PM); moreover, higher molecular weight nPAHs and oPAHs were preferentially found in finer particles, suggesting a potential for increased health risks. Smoking behavior raised the concentrations of nPAHs and oPAHs in personal air significantly. People who cooked food also had higher personal exposures. Cooking and smoking have a significant interaction effect on personal exposure. Concentrations in kitchens and personal exposure to nPAHs and oPAHs for households using wood and peat were significantly higher than for those using electricity and liquid petroleum gas (LPG).
Environmental Pollution | 2015
Bangtian Zhou; Huizhong Shen; Ye Huang; Wei Li; Han Chen; Yanyan Zhang; Shu Su; Yuanchen Chen; Nan Lin; Shaojie Zhuo; Qirui Zhong; Junfeng Liu; Bengang Li; Shu Tao
Daily, size-segregated particulate matter (PM) samples were collected at Peking University from March 2012 to April 2013. Seventeen indoor air samples were also collected over this period. Winter PM concentrations decreased compared with those reported a decade ago, but summer PM concentrations increased over the same time period. Increasing summer PM concentrations likely resulted from a shift in the major source of PM from primary coal burning to vehicle-associated secondary particle formation. A multiple regression model explained 62% of daily PM concentration variations, and wind direction was the most important factor controlling PM concentrations. Severe pollution was often associated with southeasterly winds, while westerly and northwesterly winds brought relatively clean air. Temperature, precipitation and relative humidity also affected PM concentrations. PM concentrations indoors were generally lower than, but significantly correlated with ambient concentrations. Indoor PM concentrations were also affected by wind speed and temperature.
Environmental Pollution | 2017
Yuanchen Chen; Wei Du; Shaojie Zhuo; Weijian Liu; Yuanlong Liu; Guofeng Shen; Shui-Ping Wu; Jianjun Li; Bianhong Zhou; Gehui Wang; Eddy Y. Zeng; Hefa Cheng; Wenxin Liu; Shu Tao
Little information exists on emission factors (EFs, quantities of pollutants emitted per unit of fuel consumed) for brick kilns in China, although brick kilns are important emission sources of many air pollutants, and 45% of the worlds bricks are produced in China. In this study, EFs of carbon dioxide (CO2), carbon monoxide (CO), sulfur dioxide (SO2), nitrogen oxides (NOx), particulate matters (PMs), black carbon (BC), organic carbon (OC), and polycyclic aromatic hydrocarbons (PAHs) for brick kilns were derived based on field measurements of a total of 18 brick kilns of major types in China. This was the first study to quantify EFs of both stack and fugitive sources based on a modified carbon balance method that was developed for this study. The EFs of most pollutants, especially the incomplete combustion products in fugitive emissions, were much higher than those for stack emissions, indicating a substantial underestimation of total emissions when leakage is not taken into consideration. This novel method can be applied to quantify emissions from other similar sources with both stack and fugitive emissions.
Environment International | 2017
Zhe Sun; Ying Zhu; Shaojie Zhuo; Weiping Liu; Eddy Y. Zeng; Xilong Wang; Baoshan Xing; Shu Tao
The quality of agricultural soil is vital to human health, however soil contamination is a severe problem in China. Polycyclic aromatic hydrocarbons (PAHs) have been found to be among the major soil contaminants in China. PAH derivatives could be more toxic but their measurements in soils are extremely limited. This study reports levels, spatial distributions and compositions of 11 nitrated (nPAHs) and 4 oxygenated PAHs (oPAHs) in agricultural soils covering 26 provinces in eastern China to fill the data gap. The excess lifetime cancer risk (ELCR) from the exposure to them in addition to 21 parent PAHs (pPAHs) via soil ingestion has been estimated. The mean concentration of ∑nPAHs and ∑oPAHs in agricultural soils is 50±45μg/kg and 9±8μg/kg respectively. Both ∑nPAHs and ∑oPAHs follow a similar spatial distribution pattern with elevated concentrations found in Liaoning, Shanxi, Henan and Guizhou. However if taking account of pPAHs, the high ELCR by soil ingestion is estimated for Shanxi, Zhejiang, Liaoning, Jiangsu and Hubei. The maximum ELCR is estimated at ca.10-5 by both deterministic and probabilistic studies with moderate toxic equivalent factors (TEFs). If maximum TEFs available are applied, there is a 0.2% probability that the ELCR will exceed 10-4 in the areas covered. There is a great chance to underestimate the ELCR via soil ingestion for some regions if only the 16 priority PAHs in agricultural soils are considered. The early life exposure and burden are considered extremely important to ELCR. Emission sources are qualitatively predicted and for areas with higher ELCR such as Shanxi and Liaoning, new loadings of PAHs and derivatives are identified. This is the first large scale study on nPAHs and oPAHs contamination levels in agricultural soils in China. The risk assessment based on this underpins the policy making and is valuable for both scientists and policy makers.
Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering | 2018
Xuelian Pan; Shaojie Zhuo; Qirui Zhong; Yuanchen Chen; Wei Du; Hefa Cheng; Xilong Wang; Eddy Y. Zeng; Baoshan Xing; Shu Tao
ABSTRACT A novel enhanced diffusion sampler for collecting gaseous phase polycyclic aromatic hydrocarbons (PAHs) without air agitation is proposed. The diffusion of target compounds into a sampling chamber is facilitated by continuously purging through a closed-loop flow to create a large concentration difference between the ambient air and the air in the sampling chamber. A glass-fiber filter-based prototype was developed. It was demonstrated that the device could collect gaseous PAHs at a much higher rate (1.6 ± 1.4 L/min) than regular passive samplers, while the ambient air is not agitated. The prototype was also tested in both the laboratory and field for characterizing the concentration gradients over a short distance from the soil surface. The sampler has potential to be applied in other similar situations to characterize the concentration profiles of other chemicals.
Atmospheric Environment | 2016
Yuanchen Chen; Guofeng Shen; Weijian Liu; Wei Du; Shu Su; Yonghong Duan; Nan Lin; Shaojie Zhuo; Xilong Wang; Baoshan Xing; Shu Tao
Applied Energy | 2016
Han Chen; Ye Huang; Huizhong Shen; Yilin Chen; Muye Ru; Yuanchen Chen; Nan Lin; Shu Su; Shaojie Zhuo; Qirui Zhong; Xilong Wang; Junfeng Liu; Bengang Li; Shu Tao
Environmental Pollution | 2017
Shaojie Zhuo; Guofeng Shen; Ying Zhu; Wei Du; Xuelian Pan; Tongchao Li; Yang Han; Bengang Li; Junfeng Liu; Hefa Cheng; Baoshan Xing; Shu Tao