Simulation of flows of hazardous elements in copper smelting process based on Bayesian network-Reference-Cited by-同舟云学术

Simulation of flows of hazardous elements in copper smelting process based on Bayesian network

Published:2022-12 Issue: Volume:380 Page:135137
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Wang Yanchao,Wen Zongguo^ORCID,Li Huifang

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference31 articles.

1. Groundwater quality assessment using data clustering based on hybrid Bayesian networks;Aguilera;Stoch. Environ. Res. Risk Assess.,2013

2. Sensors and process control in copper smelters: a review of current systems and some opportunities;Arias;Minerals,2021

3. Chemical composition data of the main stages of copper production from sulfide minerals in Chile: a review to assist circular economy studies;Barros;Minerals,2022

4. Bayes, T., Britannica, T.E., Wells, T., Wells, T., Society, R., Society, R., Price, R., Society, R., Canton, J., Magister, A., BAYES, 1763. An essay towards solving a problem in the doctrine of chances. By the late Rev. Mr. Bayes, F. R. S. communicated by Mr. Price, in a letter to John Canton, A. M. F. R. S. Philos. Trans. R. Soc. London, A 53, 370–418. https://doi.org/10.1098/rstl.1763.0053.

5. Seven potential sources of arsenic pollution in Latin America and their environmental and health impacts;Bundschuh;Sci. Total Environ.,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New clues to the mechanism in controlling arsenic leaching from flash copper smelter flue dusts by using X-ray absorption spectroscopy;Separation and Purification Technology;2024-03

2. Investigating the Impact of Co-Processing Municipal Solid Waste as an Alternative Fuel in Cement Kilns on Coal Savings and Emissions Using Machine Learning;2024

3. Investigating the Impact of Co-Processing Municipal Solid Waste Alternative Fuel in Cement Kilns on Coal Savings and Emissions Using Machine Learning;2024

4. Analysis of China's non-ferrous metals industry's path to peak carbon: A whole life cycle industry chain based on copper;Science of The Total Environment;2023-09