GETTING TO THE ROOT OF NONPOINT SOURCE POLLUTION IN ABANDONED MINE LANDS: BIOGEOCHEMICAL CYCLING OF MANGANESE IN FORESTED COAL MINE SPOIL

2017 ◽  
Author(s):  
Brianne Yarger ◽  
◽  
Hannah Frederick ◽  
Laura Zemanek ◽  
David M. Singer ◽  
...  
Soil Systems ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 13 ◽  
Author(s):  
Elizabeth Herndon ◽  
Brianne Yarger ◽  
Hannah Frederick ◽  
David Singer

Abandoned mine lands continue to serve as non-point sources of acid and metal contamination to water bodies long after mining operations have ended. Although soils formed from abandoned mine spoil can support forest vegetation, as observed throughout the Appalachian coal basin, the effects of vegetation on metal cycling in these regions remain poorly characterized. Iron (Fe) and manganese (Mn) biogeochemistry were examined at a former coal mine where deciduous trees grow on mine spoil deposited nearly a century ago. Forest vegetation growing on mine spoil effectively removed dissolved Mn from pore water; however, mineral weathering at a reaction front below the rooting zone resulted in high quantities of leached Mn. Iron was taken up in relatively low quantities by vegetation but was more readily mobilized by dissolved organic carbon produced in the surface soil. Dissolved Fe was low below the reaction front, suggesting that iron oxyhydroxide precipitation retains Fe within the system. These results indicate that mine spoil continues to produce Mn contamination, but vegetation can accumulate Mn and mitigate its leaching from shallow soils, potentially also decreasing Mn leaching from deeper soils by reducing infiltration. Vegetation had less impact on Fe mobility, which was retained as Fe oxides following oxidative weathering.


2013 ◽  
pp. 2128-2149
Author(s):  
Timothy J. Dolney

Abandoned mine lands (AMLs) associated with past coal-mining scar Pennsylvania’s landscape with environmental and safety hazards. Reclamation projects eliminate and reduce hazards AMLs pose. Due to the large number of AMLs and limited funds, precedence is given to reclaim the most hazardous sites first. These sites are identified through an assessment process that assigns priorities to AMLs. However, priorities are out-dated and do not accurately reflect the current spatial distribution of land use and census data. This article presents a GIS methodology for the prioritization of AMLs using the process of extrapolation and focal statistics. By incorporating current assessment techniques into GIS with current land use and census data, AML priorities were reassigned to accurately reflect the current spatial landscape. Results indicate that current AML priorities assigned by the state do not accurately reflect current land use and census data and underestimate the safety hazards of many sites, including high priority sites.


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