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Data on analysis of temperature inversion during spontaneous combustion of coal

Data in this article presents the characteristic parameters of spontaneous combustion of coal with different ranks, including lignite, long flame coal, and anthracite. The coal samples were tested by the temperature programmed method. The gas concentration data produced at different temperature poin...

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Detalles Bibliográficos
Autores principales: Guo, Jun, Wen, Hu, Liu, Yin, Jin, Yongfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698773/
https://www.ncbi.nlm.nih.gov/pubmed/31440550
http://dx.doi.org/10.1016/j.dib.2019.104304
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author Guo, Jun
Wen, Hu
Liu, Yin
Jin, Yongfei
author_facet Guo, Jun
Wen, Hu
Liu, Yin
Jin, Yongfei
author_sort Guo, Jun
collection PubMed
description Data in this article presents the characteristic parameters of spontaneous combustion of coal with different ranks, including lignite, long flame coal, and anthracite. The coal samples were tested by the temperature programmed method. The gas concentration data produced at different temperature points during the heating process are obtained. Through monitoring the spontaneous combustion of coal in a coal mine, the field data in goaf are obtained. Through processing on the data from the experiment and field, three gas indices were obtained, which include CO/CO(2), Graham value and Alkane ratio. The data is made available for further use and for furthering the understanding of the key findings of the related research, such as the early warning for spontaneous combustion of coal. For more insight please see A method for evaluating the spontaneous combustion of coal by monitoring various gases (Guo et al., 2019).
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spelling pubmed-66987732019-08-22 Data on analysis of temperature inversion during spontaneous combustion of coal Guo, Jun Wen, Hu Liu, Yin Jin, Yongfei Data Brief Engineering Data in this article presents the characteristic parameters of spontaneous combustion of coal with different ranks, including lignite, long flame coal, and anthracite. The coal samples were tested by the temperature programmed method. The gas concentration data produced at different temperature points during the heating process are obtained. Through monitoring the spontaneous combustion of coal in a coal mine, the field data in goaf are obtained. Through processing on the data from the experiment and field, three gas indices were obtained, which include CO/CO(2), Graham value and Alkane ratio. The data is made available for further use and for furthering the understanding of the key findings of the related research, such as the early warning for spontaneous combustion of coal. For more insight please see A method for evaluating the spontaneous combustion of coal by monitoring various gases (Guo et al., 2019). Elsevier 2019-07-24 /pmc/articles/PMC6698773/ /pubmed/31440550 http://dx.doi.org/10.1016/j.dib.2019.104304 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Guo, Jun
Wen, Hu
Liu, Yin
Jin, Yongfei
Data on analysis of temperature inversion during spontaneous combustion of coal
title Data on analysis of temperature inversion during spontaneous combustion of coal
title_full Data on analysis of temperature inversion during spontaneous combustion of coal
title_fullStr Data on analysis of temperature inversion during spontaneous combustion of coal
title_full_unstemmed Data on analysis of temperature inversion during spontaneous combustion of coal
title_short Data on analysis of temperature inversion during spontaneous combustion of coal
title_sort data on analysis of temperature inversion during spontaneous combustion of coal
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6698773/
https://www.ncbi.nlm.nih.gov/pubmed/31440550
http://dx.doi.org/10.1016/j.dib.2019.104304
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