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Your search keyword '"Teng Yanguo"' showing total 673 results
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673 results on '"Teng Yanguo"'

1. Factors influencing U(VI) adsorption onto soil from a candidate very low level radioactive waste disposal site in China

Author

Zuo Rui, Liu Li, Jiang Xiaoyan, Guan Xin, Teng Yanguo, Ding Fei, Yang Jie, and Wang Jinsheng

Subjects
uranium, soil, adsorption, influencing factor, batch test, very low level radioactive waste, Nuclear and particle physics. Atomic energy. Radioactivity, QC770-798
Abstract

The properties of soil at disposal sites are very important for geological disposal of very low level radioactive waste in terms of U(VI). In this study, soil from a candidate very low level radioactive waste disposal site in China was evaluated for its capacity on uranium sorption. Specifically, the equilibrium time, initial concentration, soil particle, pH, temperature, and carbonate were evaluated. The results indicated that after 15-20 days of sorption, the Kd value fluctuated and stabilized at 355-360 mL/g. The adsorptive capacity of uranium was increased as the initial uranium concentration increased, while it decreased as the soil particle size increased. The pH value played an important role in the U(VI) sorption onto soil, especially under alkaline conditions, and had a great effect on the sorption capacity of soil for uranium. Moreover, the presence of carbonate decreased the sorption of U(VI) onto soil because of the role of the strong complexation of carbonate with U(VI) in the groundwater. Overall, this study assessed the behavior of U(VI) sorption onto natural soil, which would be an important factor in the geological barrier of the repository, has contribution on mastering the characteristic of the adsorption of uranium in the particular soil media for the process of very low level radioactive waste disposal.

Published
2016
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2. Utilization of a Bayesian probabilistic inferential framework for contamination source identification in river environment

Author

Jing Lijun, Chen Ruihui, Bai Xiaomei, Meng Fansheng, Yao Zhipeng, Teng Yanguo, and Chen Haiyang

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

In the environmental event of hazardous release into river, quick and accurate identification of the contamination source is important for emergence response. Generally, given a noisy and finite set of monitoring information, determining the source items (i.e. location, strength and release time) is an ill-posed inverse problem. In this study, a Markov chain Monte Carlo method combined with advection-dispersion equation (ADE) was proposed for the source identification of contamination event in river system based on a Bayesian probabilistic inferential framework. Case study with analytical solution for one-dimensional ADE showed that the proposed methodology was effective and the mean posterior errors for all source parameters were lower than 3%. Case simulation based on two-dimensional ADE with numerical solution obtained similar results and further demonstrated the utility of the proposed approach for source identification. We hope the study will provide a helpful guidance to develop approach for contamination event source identification to support environmental risk management of river system.

Published
2018
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