scholarly journals Effects of acid drainage from abandoned coal mines on the microbial community of Shandi River sediment, Shanxi Province

2021 ◽  
Author(s):  
Di Chen ◽  
Qiyan Feng ◽  
Wenbo Li ◽  
Yuan Song ◽  
Chunhong Zhao
Keyword(s):  
Microbial Community ◽  
Acid Mine Drainage ◽  
Community Composition ◽  
River Sediment ◽  
Mine Drainage ◽  
Coal Mines ◽  
Shanxi Province ◽  
Acid Drainage ◽  
Abandoned Coal Mines ◽  
The Impact

AbstractThe discharge of acid mine drainage from abandoned high sulfur (S) coal mines has caused serious pollution in the Shandi River, Yangquan, Shanxi Province. To determine the impact of long-term acid mine drainage on the microorganisms in the river, we collected river sediments from a polluted tributary (Group P) and the mainstream of Shandi River (Group R) to study the bacterial diversity and community composition. The results showed that the tributary was seriously polluted by acid drainage from abandoned coal mines, with the pH value of the sediment being < 2.5, resulting in the low bacterial richness and diversity of the tributary samples. Acidophillic Fe- and S-metabolizing bacteria, such as Metallibacterium, Acidiphilium, and Acidithiobacillus, were the dominant genera in Group P samples, while the Group R was dominated by the neutral anaerobic iron-reducing bacteria Geothrix and Geobacter. Results of principal co-ordinates analysis (PCoA) revealed that the bacterial communities are significantly different between groups P and R, and the significant different species were mainly attributed to phylum Proteobacteria, Actinobacteria, and Acidobacteria. The distribution of the microbial community is mainly influenced by pH, and the Fe and Cd concentrations. Metallicactrium, the dominant genus, is negatively correlated with pH (R2 = − 0.95) and positively correlated with Fe (R2 = 0.99), while Geothrix and Geobacter, are mainly affected by the heavy metals. This study determined the impact of river pollution caused by abandoned coal mine drainage, especially on the microbial diversity and community composition within the river sediment.

scholarly journals Effects of Long-Term Discharge of Acid Mine Drainage from Abandoned Coal Mines on Soil Microorganisms: Microbial Community Structure, Interaction Patterns and Metabolic Functions

2021 ◽  
Author(s):  
Di Chen ◽  
Qiyan Feng ◽  
Haoqian Liang
Keyword(s):  
Microbial Community ◽  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Coal Mines ◽  
Interaction Patterns ◽  
Nitrogen Fixing ◽  
Acid Mine ◽  
Metabolic Functions ◽  
Abandoned Coal Mines

Abstract More than twenty abandoned coal mines in the Yudong River basin of Guizhou Province have discharged acid mine drainage (AMD) for a long time. The revelation of microbial community composition, interaction patterns and metabolic functions can contributes to the ecological remediation of AMD pollution. In this study, reference and contaminated soils were collected along the AMD flow path for high-throughput sequencing. Results showed that the long-term AMD pollution promoted the evolution of γ-Proteobacteria, and the acidophilic iron-oxidizing bacteria Ferrovum (relative abundance of 15.50%) and iron-reducing bacteria Metallibacterium (9.87%) belonging to this class became the dominant genera. Co-occurrence analysis revealed that the proportion of positive correlations among bacteria increased from 51.02% (reference soil) to 75.16% (contaminated soil), suggesting that acidic pollution promotes the formation of mutualistic interaction networks of microorganisms. Metabolic function prediction (Tax4Fun) revealed that AMD contamination enhanced the microbial functions such as translation, repair, and biosynthesis of peptidoglycan and lipopolysaccharide etc., which may be an adaptive mechanism for microbial survival in extremely acidic environment. In addition, the acidic pollution promoted the high expression of nitrogen fixing genes in soil, and the discovery of autotrophic nitrogen fixing bacteria such as Ferrovum provided the possibility of bioremediation of AMD pollution.

Geochemistry and stable isotope investigation of acid mine drainage associated with abandoned coal mines in central Montana, USA

2010 ◽  
Vol 269 (1-2) ◽  
pp. 100-112 ◽  
Author(s):  
Christopher H. Gammons ◽  
Terence E. Duaime ◽  
Stephen R. Parker ◽  
Simon R. Poulson ◽  
Patrick Kennelly
Keyword(s):  
Stable Isotope ◽  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Coal Mines ◽  
Acid Mine ◽  
Abandoned Coal Mines ◽  
Central Montana

scholarly journals Fine-scale spatial patterns in microbial community composition in an acid mine drainage

2017 ◽  
Vol 93 (10) ◽  
Author(s):  
Jie-Liang Liang ◽  
Xiao-Jing Li ◽  
Hao-Yue Shu ◽  
Pandeng Wang ◽  
Jia-Liang Kuang ◽  
...  
Keyword(s):  
Microbial Community ◽  
Acid Mine Drainage ◽  
Community Composition ◽  
Spatial Patterns ◽  
Mine Drainage ◽  
Microbial Community Composition ◽  
Fine Scale ◽  
Acid Mine

scholarly journals Acid mine drainage (AMD) contamination in coal mines and the need for extensive prediction and remediation: a review

2021 ◽  
Vol 9 (1) ◽  
pp. 3129-3136
Author(s):  
Theophilus Ile Ojonimi ◽  
lemona C Okeme ◽  
Tina Phiri Chanda ◽  
Eneojo Godwin Ameh
Keyword(s):  
Heavy Metals ◽  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Environmental Regulations ◽  
Atmospheric Oxygen ◽  
Coal Mines ◽  
Coal Waste ◽  
Acid Mine ◽  
Waste Dumps ◽  
The Impact

Globally, the major source of environmental pollution as a result of mineral exploitation and processing is acid mine drainage (AMD). AMD refers to outflowing streams of acidic constituents from pyrite-bearing ore mines. The exposure of pyrite (FeS2) in coal waste dumps to atmospheric oxygen and water in the presence of microbial communities promotes the formation of sulphuric acid which leaches out the inherent heavy metals into the mine discharge, a phenomenon called pyrite oxidation. AMDs are usually characterized by a convoy of toxic heavy metals, most of which are transition elements (copper, nickel, zinc, etc.) and arsenic at concentrations higher than the limits permitted by environmental regulations. The impact of this acidic discharge from coal mines on downstream/underground waters and farm lands within the corresponding mining zones have been severally reported by previous researchers, but not so much have been discussed on extensive prediction and remediation. It is in view of this that the current paper reviews the need for extensive prediction and remediation approach for coal mines under the following subheadings; General introduction, AMD sources identification, representative sampling, adoption of a prediction model, determination of AMD potential and quality via static and kinetic tests and the development of an economically sustainable remediation strategy. It is thought that this article would be useful to academia as well as policy makers that are responsible for the development and implementation of environmental regulations in coal mines.

scholarly journals Passive treatment test of acid mine drainage from an abandoned coal mine in Kaili Guizhou, China

2021 ◽  
Author(s):  
Li Wenbo ◽  
Feng Qiyan ◽  
Liang Haoqian ◽  
Chen Di ◽  
Li Xiangdong
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Coal Mines ◽  
Guizhou Province ◽  
Main Reaction ◽  
Experimental Conditions ◽  
Mineralogical Characterization ◽  
Mixture Ratio ◽  
Acid Mine ◽  
Abandoned Coal Mines

Abstract Discharge of acid mine drainage (AMD) from abandoned coal mines of the YuDong catchment in Kaili City, Guizhou Province, China, has severely damaged local ecological environments. In this study, a laboratory-scale dispersed alkaline substrate (DAS) was studied for the treatment of simulated AMD. The experimental conditions and reaction mechanisms were preliminarily explored. The treatment effect and variation law of vertical effluent water quality of the experimental conditions were thoroughly analysed. The results indicated that small-sized limestone (diameter 5–7 mm) having a 20:1 mixture ratio with shavings and minimum HRT of 20 hours result in increasing effluent pH from 3.5 to 6.6, achieving 66.2% and 99.1% removal of Fe and Al, respectively. There were obvious differences in each reaction layer for the removal of various pollutants from AMD along the depth by DAS, the main reaction zone was first 20–30 cm of reaction column. The removal process of metal ions and sulfate was accompanied by bio-mineralization reaction. This test provided a valuable support for the local practical engineering applications, enriched the AMD processing technology experimental cases, and provided reference for the treatment technology of similar polluted areas. HIGHLIGHT A dispersed alkaline substrate was designed to treat the acid mine drainage from abandoned coal mines of YuDong valley, which provides a reference for the further design of site device and other similar contaminated areas. Combining the physical and chemical parameters of the effluent, mineralogical characterization of the filler along with the microbial diversity of the system, the mechanism of DAS treatment of AMD was analyzed.

scholarly journals Diversity of the Sediment Microbial Community in the Aha Watershed (Southwest China) in Response to Acid Mine Drainage Pollution Gradients

2015 ◽  
Vol 81 (15) ◽  
pp. 4874-4884 ◽  
Author(s):  
Weimin Sun ◽  
Tangfu Xiao ◽  
Min Sun ◽  
Yiran Dong ◽  
Zengping Ning ◽  
...  
Keyword(s):  
Microbial Community ◽  
Acid Mine Drainage ◽  
High Throughput Sequencing ◽  
Southwest China ◽  
Mine Drainage ◽  
Redox Potentials ◽  
Content Type ◽  
Acid Mine ◽  
Abandoned Coal Mines ◽  
S Cycling

ABSTRACTLocated in southwest China, the Aha watershed is continually contaminated by acid mine drainage (AMD) produced from upstream abandoned coal mines. The watershed is fed by creeks with elevated concentrations of aqueous Fe (total Fe > 1 g/liter) and SO42−(>6 g/liter). AMD contamination gradually decreases throughout downstream rivers and reservoirs, creating an AMD pollution gradient which has led to a suite of biogeochemical processes along the watershed. In this study, sediment samples were collected along the AMD pollution sites for geochemical and microbial community analyses. High-throughput sequencing found various bacteria associated with microbial Fe and S cycling within the watershed and AMD-impacted creek. A large proportion of Fe- and S-metabolizing bacteria were detected in this watershed. The dominant Fe- and S-metabolizing bacteria were identified as microorganisms belonging to the generaMetallibacterium,Aciditerrimonas,Halomonas,Shewanella,Ferrovum,Alicyclobacillus, andSyntrophobacter. Among them,Halomonas,Aciditerrimonas,Metallibacterium, andShewanellahave previously only rarely been detected in AMD-contaminated environments. In addition, the microbial community structures changed along the watershed with different magnitudes of AMD pollution. Moreover, the canonical correspondence analysis suggested that temperature, pH, total Fe, sulfate, and redox potentials (Eh) were significant factors that structured the microbial community compositions along the Aha watershed.

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