Differential analysis of biogas production in simulated experiments of aquitard layers in coal seam fire zones.
- Author:
Daping XIA
1
;
Yunxia NIU
2
;
Jijun TIAN
3
;
Haichao WANG
4
;
Donglei JIA
5
;
Dan HUANG
6
;
Zhenzhi WANG
2
;
Weizhong ZHAO
2
Author Information
- Publication Type:Journal Article
- Keywords: aquitard layer; biogas; fire zone; metabolic pathway; metal
- MeSH: Biofuels; Coal; Methane/biosynthesis*; Fires; Groundwater; Coal Mining; Fermentation; China; Anaerobiosis
- From: Chinese Journal of Biotechnology 2025;41(8):3064-3080
- CountryChina
- Language:Chinese
- Abstract: To explore the differences in biological gas production in the waterlogged zone of a coal seam fire-affected area, in this study the in-situ gas production experiment was conducted with the mine water from aquitard layers in coal seam fire zones in Xinjiang. The results showed that the biogas production first increased and then decreased with the increase in distance, and the highest gas production reached 216.55 mL. The changes in key metabolic pathways during the anaerobic fermentation of coal were analyzed, which showed that as the distance from the aquitard layer in the coal seam fire zone increased, the methanogenesis pathways gradually shifted from acetic acid decarboxylation and carbon dioxide reduction to acetic acid decarboxylation and methylamine methanogenesis. The significant variability in the in-situ mine water reservoir conditions contributed to the differences. In addition, the reservoir pressure and temperature increased as the distance from the fire zone became longer, and the salinity of the farthest mine water in the reverse fault was the highest due to the lack of groundwater supply. Pearson correlation analysis revealed significant correlations of microbial communities with key functional genes and the types and concentrations of ions. The ions significantly influencing microbial enzymatic metabolic activities included Al3+, Fe2+, Co2+, Ni2+, Cu2+, Zn2+, Mg2+, PO43-, and Mo6+. The differences in metabolic pathways were attributed to the integrated effects of a co-occurring environment with multiple ions. The gas production simulation experiments and metagenomic analyses provide data support for the practical application of in-situ biogas experiments, laying a foundation for engineering applications.
