H2 dynamics in the soil of a H2-emitting zone (São Francisco Basin, Brazil): Microbial uptake quantification and reactive transport modelling

土壤水分 水柱 萃取(化学) 环境化学 核糖体基因间间隔区分析 环境科学 化学 土壤科学 生物地球化学循环 水文学(农业) 核糖体RNA 生物 地质学 生态学 色谱法 基因 内转录区 生物化学 岩土工程
作者
Andrey Myagkiy,Fabrice Brunet,Claudia Popov,Ricardo Henrique Krüger,Helena Ipe Pinheiro Guimaraes,Rafaella Silveira,Laurent Charlet,Isabelle Moretti
出处
期刊:Applied Geochemistry [Elsevier BV]
卷期号:112: 104474-104474 被引量:31
标识
DOI:10.1016/j.apgeochem.2019.104474
摘要

Sandy kaolinite-rich soils, collected in a H2-emitting circular depression (ca. 500 m in diameter), located in the São Francisco basin (Brazil), were exposed to H2 gas concentrations in the 500–5000 ppm range for up to eight weeks. The samples were found to consume H2 at a rate of approximately 0.05–0.1 mmol H2/soil kg/day due to the microbial activity. DNA extraction from these soil samples before and after H2 exposure, followed by Ribosomal Intergenic Spacer Analysis (RISA) and 16S rRNA gene amplicon sequencing, indicated that (i) the bacterial community is dominated by phyla that have been previously recognized to scavenge atmospheric H2, and (ii) H2 exposure leads to a significant modification of the bacterial community distribution. Measured H2 uptake rates were fitted to the integrated form of the Michaelis-Menten equation and were further implemented in a 1-D reactive transport model. The model simulates gas-soil interactions in a 1-m vertical soil column, assuming homogeneous distribution of H2-consuming bacteria. The evolution of the H2 concentration in the unsaturated soil porosity along the column was simulated considering two different scenarios: a deep H2 source (Case 1) and a biogenic surface source (Case 2). It was shown that, in the case of diffusion-dominated H2-transport as considered in this study, bacterial activity will control the amplitude of the H2 flux across the column. Moreover, we determined that bacterial activity can dramatically decrease the H2 concentration in the soil porosity, by a factor of two compared to the source concentration. According to the simulation, the time-resolved concentration data collected in the São Francisco depression [Prinzhofer et al., 2019; International Journal of Hydrogen Energy] are consistent with the combination of a deep (Case 1) and a surficial biogenic (Case 2) H2 source in this locality.

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