Dilution Processes of Rainfall-Enhanced Acid Mine Drainage Discharges from Historic Underground Coal Mines, New Zealand

2020 ◽  
Vol 39 (1) ◽  
pp. 27-41
Author(s):  
Carrie Jewiss ◽  
Dave Craw ◽  
James Pope ◽  
Hana Christenson ◽  
Dave Trumm
1997 ◽  
Author(s):  
S. Mafi ◽  
M.T. Damian ◽  
R.E. Senita ◽  
W.C. Jewitt ◽  
S. Bair ◽  
...  

2017 ◽  
Vol 40 (2) ◽  
pp. 91-94
Author(s):  
B. Talukdar ◽  
H. K. Kalita ◽  
R. A. Baishya ◽  
S. Basumatary ◽  
A. Dutta ◽  
...  

2010 ◽  
Vol 269 (1-2) ◽  
pp. 100-112 ◽  
Author(s):  
Christopher H. Gammons ◽  
Terence E. Duaime ◽  
Stephen R. Parker ◽  
Simon R. Poulson ◽  
Patrick Kennelly

2016 ◽  
Vol 131 ◽  
pp. 65-71 ◽  
Author(s):  
B. Talukdar ◽  
H.K. Kalita ◽  
R.A. Baishya ◽  
S. Basumatary ◽  
D. Sarma

2008 ◽  
Vol 59 (12) ◽  
pp. 1084 ◽  
Author(s):  
Jonathan P. Bray ◽  
Paul A. Broady ◽  
Dev K. Niyogi ◽  
Jon S. Harding

Discharges from historic and current coal mines frequently generate waters low in pH (<3), high in heavy metals (e.g. Fe, Al) and cover streambeds in metal precipitates. The present study investigated periphyton communities at 52 stream sites on the West Coast, South Island, New Zealand, representing a range of impacts from acid mine drainage (AMD). Taxonomic richness was negatively related to acidity and metal oxides and biomass was negatively correlated with metal oxides, but positively related to acidity. Streams with low pH (<3.5) had low periphyton richness (14 taxa across all sites) and were dominated by Klebsormidium acidophilum, Navicula cincta and Euglena mutabilis. As pH increased, so did taxonomic richness while community dominance decreased and community composition became more variable. Canonical correspondence analyses of algal assemblages revealed patterns influenced by pH. These findings indicate that streams affected by AMD possess a predictable assemblage composition of algal species that can tolerate the extreme water chemistry and substrate conditions. The predictability of algal communities declines with decreasing stress, as other abiotic and biotic factors become increasingly more important.


2021 ◽  
Author(s):  
Di Chen ◽  
Qiyan Feng ◽  
Haoqian Liang

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.


2008 ◽  
Vol 2008 (1) ◽  
pp. 662-699 ◽  
Author(s):  
Craig A. McCauley ◽  
Aisling D. O’Sullivan ◽  
Paul A. Weber ◽  
Dave A. Trumm

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