A meta-taxonomic investigation of the prokaryotic diversity of water bodies impacted by acid mine drainage from the São Domingos mine in southern Portugal

Extremophiles ◽  
2019 ◽  
Vol 23 (6) ◽  
pp. 821-834 ◽  
Author(s):  
Sara Ettamimi ◽  
Jorge D. Carlier ◽  
Cymon J. Cox ◽  
Youssef Elamine ◽  
Khalil Hammani ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Water Bodies ◽  
Acid Mine ◽  
Prokaryotic Diversity ◽  
São Domingos Mine ◽  
Southern Portugal

Interaction of acid mine drainage with waters and sediments at the Corona stream, Lousal mine (Iberian Pyrite Belt, Southern Portugal)

2006 ◽  
Vol 50 (7) ◽  
pp. 1001-1013 ◽  
Author(s):  
E. Ferreira da Silva ◽  
C. Patinha ◽  
P. Reis ◽  
E. Cardoso Fonseca ◽  
J. X. Matos ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Iberian Pyrite Belt ◽  
Acid Mine ◽  
Southern Portugal

Metal partitioning in sediments and mineralogical controls on the acid mine drainage in Ribeira da Água Forte (Aljustrel, Iberian Pyrite Belt, Southern Portugal)

2012 ◽  
Vol 27 (6) ◽  
pp. 1063-1080 ◽  
Author(s):  
Flávia Maia ◽  
Cláudia Pinto ◽  
João Carlos Waerenborgh ◽  
Mário A. Gonçalves ◽  
Cátia Prazeres ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Iberian Pyrite Belt ◽  
Metal Partitioning ◽  
Acid Mine ◽  
Southern Portugal

scholarly journals Assessing local acid mine drainage impacts on natural regeneration-revegetation of São Domingos mine (Portugal) using a mineralogical, biochemical and textural approach

2021 ◽  
Vol 755 ◽  
pp. 142825
Author(s):  
Renata A. Ferreira ◽  
Manuel F. Pereira ◽  
João P. Magalhães ◽  
António M. Maurício ◽  
Isabel Caçador ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Natural Regeneration ◽  
Mine Drainage ◽  
Acid Mine ◽  
São Domingos Mine

scholarly journals GIS and RS-Based Analysis of Water Pollution Potential Caused by Acid Mine Drainage in Samarinda, Indonesia

2021 ◽  
Vol SI (11) ◽  
pp. 5-13
Author(s):  
Tito Latif INDRA ◽  
Regina Putri AMALIA ◽  
Astrid DAMAYANTI
Keyword(s):  
Water Pollution ◽  
Acid Mine Drainage ◽  
Large Scale ◽  
Mine Drainage ◽  
High Potential ◽  
Water Bodies ◽  
Gis And Remote Sensing ◽  
Acid Mine ◽  
East Kalimantan ◽  
Void Distribution

Large-scale mining activity is the major environmental issue, including water pollution caused by Acid Mine Drainage (AMD). Samarinda, which is located in the province of East Kalimantan, Indonesia, has open pits and acid contributing land as a source of AMD pollutants. The potential AMD pollution can be assessed by utilizing Geographic Information System (GIS) and Remote Sensing (RS), which are considered reliable tools for measuring, mapping, monitoring, and model making for an area. The variables used in this research are void distribution, land cover, soil type, rainfall, topography, water body, and groundwater. The integration of these variables is used to analyze the potential of AMD pollution to water bodies by acid contributing land. Meanwhile, the void distribution and groundwater integration data are used to analyze the potential of AMD pollution to groundwater by voids. The overlay method is employed to analyze the potential spatial patterns of AMD pollution in the study area. The results show the high potential of AMD pollution to water bodies, specifically in the districts of Samarinda Utara, Palaran, and Sungai Kunjang. The high potential of AMD pollution to groundwater is found in the south delineation area, namely Palaran, Loa Janan Hilir, and Samarinda Seberang districts, with low and medium groundwater depth categories (20 - 70 and 50 - 150 MBGL). The spatial pattern of AMD pollution was random with the geometric arrangement of AMD pollution in the form of clusters.

scholarly journals Prokaryotic diversity in stream sediments affected by acid mine drainage

Extremophiles ◽  
2020 ◽  
Vol 24 (6) ◽  
pp. 809-819
Author(s):  
Jorge D. Carlier ◽  
Sara Ettamimi ◽  
Cymon J. Cox ◽  
Khalil Hammani ◽  
Hassan Ghazal ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Stream Sediments ◽  
Acid Mine ◽  
Prokaryotic Diversity

Tracking the prokaryotic diversity in acid mine drainage-contaminated environments: A review of molecular methods

2011 ◽  
Vol 24 (8) ◽  
pp. 709-718 ◽  
Author(s):  
Bidyut R. Mohapatra ◽  
W. Douglas Gould ◽  
Orlando Dinardo ◽  
David W. Koren
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Molecular Methods ◽  
Acid Mine ◽  
Prokaryotic Diversity

scholarly journals UAS-Based Hyperspectral Environmental Monitoring of Acid Mine Drainage Affected Waters

Minerals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 182
Author(s):  
Hernan Flores ◽  
Sandra Lorenz ◽  
Robert Jackisch ◽  
Laura Tusa ◽  
I. Cecilia Contreras ◽  
...  
Keyword(s):  
Acid Mine Drainage ◽  
Mine Drainage ◽  
Hyperspectral Data ◽  
Water Bodies ◽  
Sulfide Deposit ◽  
Acidic Water ◽  
Dissolved Metals ◽  
Acid Mine ◽  
Field Samples ◽  
Water Ph

The exposure of metal sulfides to air or water, either produced naturally or due to mining activities, can result in environmentally damaging acid mine drainage (AMD). This needs to be accurately monitored and remediated. In this study, we apply high-resolution unmanned aerial system (UAS)-based hyperspectral mapping tools to provide a useful, fast, and non-invasive method for the monitoring aspect. Specifically, we propose a machine learning framework to integrate visible to near-infrared (VNIR) hyperspectral data with physicochemical field data from water and sediments, together with laboratory analyses to precisely map the extent of acid mine drainage in the Tintillo River (Spain). This river collects the drainage from the western part of the Rio Tinto massive sulfide deposit and discharges large quantities of acidic water with significant amounts of dissolved metals (Fe, Al, Cu, Zn, amongst others) into the Odiel River. At the confluence of these rivers, different geochemical and mineralogical processes occur due to the interaction of very acidic water (pH 2.5–3.0) with neutral water (pH 7.0–8.0). This complexity makes the area an ideal test site for the application of hyperspectral mapping to characterize both rivers and better evaluate contaminated water bodies with remote sensing imagery. Our approach makes use of a supervised random forest (RF) regression for the extended mapping of water properties, using the samples collected in the field as ground-truth and training data. The resulting maps successfully estimate the concentration of dissolved metals and related physicochemical properties in water, and trace associated iron species (e.g., jarosite, goethite) within sediments. These results highlight the capabilities of UAS-based hyperspectral data to monitor water bodies in mining environments, by mapping their hydrogeochemical properties, using few field samples. Hence, we have demonstrated that our workflow allows the rapid discrimination and mapping of AMD contamination in water, providing an essential basis for monitoring and subsequent remediation.

Pollution Control of Acid Mine Drainage at Matsuo Sulphur-pyrite Mine

1984 ◽  
Vol 100 (1160) ◽  
pp. 1031-1038
Author(s):  
Yasuo KONNO ◽  
Hajime IKEDA ◽  
Takeshi SAKATA
Keyword(s):  
Acid Mine Drainage ◽  
Pollution Control ◽  
Mine Drainage ◽  
Acid Mine
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