Guanghua Wang
Chinese Academy of Sciences
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Featured researches published by Guanghua Wang.
Journal of Environmental Sciences-china | 2014
Shilei Long; Jianrong Zeng; Yan Li; Liangman Bao; Lingling Cao; Ke Liu; Liang Xu; Jun Lin; Wei Liu; Guanghua Wang; Jian Yao; Chenyan Ma; Yidong Zhao
Sulfate, nitrate and ammonium (SNA) are the dominant species in secondary inorganic aerosol, and are considered an important factor in regional haze formation. Size-fractionated aerosol particles for a whole year were collected to study the size distribution of SNA as well as their chemical species in Shanghai. SNA mainly accumulated in fine particles and the highest average ratio of SNA to particulate matter (PM) was observed to be 47% in the fine size fraction (0.49-0.95 μm). Higher sulfur oxidation ratio and nitrogen oxidation ratio values were observed in PM of fine size less than 0.95 μm. Ion balance calculations indicated that more secondary sulfate and nitrate would be generated in PM of fine size (0.49-0.95 μm). Sulfur K-edge X-ray absorption near-edge structure (XANES) spectra of typical samples were analyzed. Results revealed that sulfur mainly existed as sulfate with a proportion (atomic basis) more than 73% in all size of PM and even higher at 90% in fine particles. Sulfate mainly existed as (NH4)2SO4 and gypsum in PM of Shanghai. Compared to non-haze days, a dramatic increase of (NH4)2SO4 content was found in fine particles on haze days only, which suggested the promoting impact of (NH4)2SO4 on haze formation. According to the result of air mass backward trajectory analysis, more (NH4)2SO4 would be generated during the periods of air mass stagnation. Based on XANES, analysis of sulfate species in size-fractionated aerosol particles can be an effective way to evaluate the impact of sulfate aerosols on regional haze formation.
Applied Radiation and Isotopes | 2016
Lin Du; Jian Shan; Y. Ma; Ling Wang; Lailai Qin; Li Pi; Youshi Zeng; Zheng-Hai Xia; Guanghua Wang; Wei Liu
This paper reports an improved combustion apparatus for the determination of organically bound tritium in environmental samples. The performance of this apparatus including the recovery rate and reproducibility was investigated by combusting lettuce and pork samples. To determine the factors for the different recovery rates of lettuce and pork and investigate whether the samples were completely oxidized, the ashes and exhaust gases produced by the combustion were analyzed. The results indicate that the apparatus showed an excellent performance in the combustion of environmental samples. Thus, the improvements conducted in this study were effective.
Aerosol Science and Technology | 2013
Guanghua Wang; Jian Yao; Youshi Zeng; Yu Huang; Yuan Qian; Wei Liu; Yan Li; Ning Yuan; Suiqing Liu; Jian Shan
In this article, a new approach was established to estimate the fractional contributions of soil dust, biomass burning, biogenic emissions, coal burning, and vehicle exhaust to the carbonaceous particulate matter by carbon isotope and linear regression techniques of OC-K+ (organic carbon) and OC-EC (elemental carbon). Using the method described herein, the fractional distributions of these sources were quantitatively determined for the OC and semiquantitatively for the EC in the size-resolved particles (size ranges: <0.49, 0.49–0.95, 0.95–1.5, 1.5–3.0, 3.0–7.2, and >7.2 μm) collected in Jiading District, a suburb of Shanghai, China. Distinct size distribution of contributions of these sources to the OC and EC was observed. Generally, biomass burning contributed a large fraction to OC in the smaller particles and biogenic emissions shared a bigger fraction to OC in the larger particles. Soil dust made contributions solely to the OC, for no EC fraction was found in the soil dust. OC from coal burning concentrated in the fine particles (smaller than 3.0 μm), and that from vehicle exhaust exhibited bimodal distribution, with peaks for both fine and coarse particles. The fossil sources dominated EC in almost all the size ranges. Though a few deviations are brought about in the calculation, this approach provides an effective way to distinguish the sources of the carbonaceous particulate matter. Copyright 2013 American Association for Aerosol Research
Nuclear Technology | 2018
Youshi Zeng; Shengwei Wu; Wei Liu; Guanghua Wang; Nan Qian; Xiaoling Wu; Wenguan Liu; Yu Huang; Yuan Qian
Abstract The Thorium-Based Molten Salt Reactor (TMSR) has been highlighted for its safety, economy, and nuclear nonproliferation. A program for developing the TMSR system has been launched in Shanghai Institute of Applied Physics, Chinese Academy of Sciences. In the TMSR system, mixtures of LiF and BeF2, termed FLiBe, are proposed and used as the primary coolant salt, in which tritium is produced mainly by the neutron reactions of lithium. In the TMSR system, at high temperatures, tritium can permeate through metal walls to the surroundings, leading to a potential radiological hazard. Thus, tritium control becomes a major problem hindering the development of the TMSR system. Evaluation of the tritium distribution is necessary for tritium control in the TMSR system. In this study, the Tritium Transport Analysis Code (TTAC) has been developed for simulating the tritium behaviors in the TMSR system (hence, the code TMSR-TTAC), such as tritium chemical forms in coolant salts, tritium transport behaviors, and tritium distribution in the system. The model code is developed by the MATLAB/SIMULINK package, and it is based on the mass balance equations of the tritium-containing species and hydrogen. TMSR-TTAC is benchmarked with the molten salt reactor model, which is based on Molten Salt Reactor Experiment designs. The results show that TMSR-TTAC has the ability to calculate the tritium distribution in the TMSR system.
Nuclear Technology | 2018
Youshi Zeng; Wenguan Liu; Wei Liu; Guanghua Wang; Yuan Qian; Nan Qian; Xiaoling Wu; Yu Huang; Shengwei Wu
Abstract In the Thorium-Based Molten Salt Reactor (TMSR), tritium is produced at a high rate, which results in huge difficulties regarding tritium control. Tritium distributions in a 2-MW liquid-fueled molten salt experimental reactor (TMSR-LF1) were simulated with the TMSR–Tritium Transport Analysis Code (TTAC) (TMSR-TTAC) that was developed for analysis of tritium behaviors in the TMSR. The simulation for normal operation showed that about 60% of the tritium would permeate through the metal walls of the system, 25% of the tritium was removed by the purge gas system, and 15% of the tritium was absorbed on the core graphite. In addition, the effects on tritium distribution of the chemical-redox potential in fuel salt, the tritium permeation behavior through the metal walls, and various tritium removal methods in the TMSR-LF1 have also been simulated. The simulation results based on those conditions are analyzed in this paper to improve the knowledge of tritium behavior in the TMSR-LF1 and to provide reliable methods and strategies for tritium control in the TMSR system.
Journal of Radioanalytical and Nuclear Chemistry | 2017
Nannan Wei; Guanghua Wang; Deqing Zhouga; Ke Deng; Jialiang Feng; Yihua Zhang; Detao Xiao; Wei Liu
To estimate the sources of carbonaceous particulate matter, 14C and biomass-burning marker (levoglucosan) were measured in the form of organic carbon (OC) and elemental carbon (EC) in PM2.5 that was collected in five different functional districts of Shanghai during winter 2013. Spatial variations of the contemporary proportion among different districts were evident. The results of levoglucosan in Xujiahui (XH) and Chongming (CM) agreed well with those of 14C. The results indicate that environmental protection policies should vary for functional districts within the same city to account for their different sources of emissions.
Journal of Radioanalytical and Nuclear Chemistry | 2013
Guanghua Wang; Youshi Zeng; Jian Yao; Yuan Qian; Yu Huang; Ke Liu; Wei Liu; Yan Li
Archive | 2012
Shengwei Wu; Wei Liu; Youshi Zeng; Yuan Qian; Haiyun Zhu; D. H. Zhang; Guanghua Wang; Jian Yao
Computational Materials Science | 2017
Wenguan Liu; Yuan Qian; D. H. Zhang; Youshi Zeng; X.B. Han; Xinxin Chu; Huiqin Yin; Guo Yang; Guanghua Wang; Shengwei Wu; Wei Liu
Nuclear Science and Techniques | 2016
Lin Du; Qin Zhang; Zheng-Hai Xia; Y. Ma; Ling Wang; Lailai Qin; Ke Deng; Shengwei Wu; Guanghua Wang; Wei Liu