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Areas where geologic conditions in the Calico and A-sequences are more favorable for current underground mining technology in the Kaiparowits Plateau study area


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2013-05-16 14:07:53


This is a coverage that shows areas in the Kaiparowits Plateauwhere geologic conditions in the Calico and A-sequences are morefavorable for current underground mining technology (Hettinger andother, 1996, fig. 22). This coverage contains nine attributes ofinformation. It was compiled by computing the geometricintersection of nine polygon coverages using the ARC/INFO UNIONcommand.This coverage is characterized as being a guide to where the morefavorable coal areas are likely to be for current undergroundmining technology: areas where coal beds in the Calico and A-sequences are greater than 3.5 feet thick, less than 3,000 feetdeep, and inclined by less than 12 degrees. Note: Coal beds lessthan 3.5 feet thick are generally not mined with [...]


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The U.S. Geological Survey (USGS) is undertaking a five year effortto identify and characterize coal beds and coal zones that couldprovide the fuel for the Nation's coal-derived energy during thefirst quarter of the 21st century. As part of this National CoalAssessment, Hettinger and others (1996) have completed anassessment of the coal deposits in the John Henry Member of theStraight Cliffs Formation, Kaiparowits Plateau of southern Utah.Their report delineates the distribution of coal and providesestimates of resources in the basin.It also serves as a basis for future efforts to assess coalresources and determine availability and recoverability. Afundamental component of their work was the digital geologic andgeographic data compiled in a Geographic Information System (GIS).Use of this GIS allowed for the spatial integration of data layers,and resulted in the ability to display, analyze, and query data andproduce information that are useful for land-use planning and toanswer complex geo-spatial questions concerning coal resourceoccurrence.This coverage (fig22) is intended for planning purposes, to be aguide to where the more favorable coal areas are likely to be forcurrent longwall mining technology. It is intended for GISapplication at a scale of 1:125,000 or less. This coverage (fig22)provides the ability to create complex queries based on thelimitations of the data.

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