Combining a Spatial Model and Demand Forecasts to Map Future Surface Coal Mining in Appalachia
نویسندگان
چکیده
منابع مشابه
Combining a Spatial Model and Demand Forecasts to Map Future Surface Coal Mining in Appalachia
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 activ...
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Forecast ensembles typically show a spread-skill relationship, but they are also often underdispersive, and therefore uncalibrated. Bayesian model averaging (BMA) is a statistical postprocessing method for forecast ensembles that generates calibrated probabilistic forecast products for weather quantities at individual sites. This paper introduces the Spatial BMA technique, which combines BMA an...
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PURPOSE The purpose of this study was to test whether population mortality rates from heart, respiratory and kidney disease were higher as a function of levels of Appalachian coal mining after control for other disease risk factors. METHODS The study investigated county-level, age-adjusted mortality rates for the years 2000-2004 for heart, respiratory and kidney disease in relation to tons of...
متن کاملSemi-quantitative environmental impact assessment and sustainability level determination of coal mining using a mathematical model
Environmental impact assessment (EIA) has led to the dominance of planners on the natural environment of the regions, providing the possibility of continuously monitoring and controlling the status quo by management staff. In this regard, a new semi-quantitative model is presented for the EIA of the Eastern Alborz Coal Mining complex using the matrix method, and determining the corresponding im...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0128813