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| Source | Web of Science |
| Volume / Issue | 6-Oct |
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| PDF Link | http://journals.plos.org/plosone/article/asset?id=10.1371%2Fjournal.pone.0128813.PDF |
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| DOI | 10.1371/journal.pone.0128813 |
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| Publication Date | JUN 19 2015 |
| Article Date | e0128813 |
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| Abstract | Predicting the locations of future surface coal mining in Appalachia is challenging for a number of reasons. Economic and regulatory factors impact the coal mining industry and forecasts of future coal production do not specifically predict changes in location of future coal production. With the potential environmental impacts from surface coal mining, prediction of the location of future activity would be valuable to decision makers. The goal of this study was to provide a method for predicting future surface coal mining extents under changing economic and regulatory forecasts through the year 2035. This was accomplished by integrating a spatial model with production demand forecasts to predict (1 km2) gridded cell size land cover change. Combining these two inputs was possible with a ratio which linked coal extraction quantities to a unit area extent. The result was a spatial distribution of probabilities allocated over forecasted demand for the Appalachian region including northern, central, southern, and eastern Illinois coal regions. The results can be used to better plan for land use alterations and potential cumulative impacts. |
Created: 12/14/2017 10:29 AM (ET)
Modified: 12/14/2017 10:29 AM (ET)