Record Display for the EPA National Library Catalog

RECORD NUMBER: 6 OF 14

OLS Field Name OLS Field Data
Main Title Land Use Analysis of Existing and Potential Coal Surface Mining Areas in the Ohio River Basin Energy Study Region.
Author Willard, Daniel E. ; Ewert, Michael A. ; Hogan, Mary Ellen ; Martin, Jeffrey D. ;
CORP Author Ohio River Basin Energy Study, Urbana, IL.;Environmental Protection Agency, Washington, DC. Office of Environmental Engineering and Technology.
Year Published 1981
Report Number EPA-R-805588; EPA-600/7-81-068;
Stock Number PB82-105172
Additional Subjects Ohio River Basin ; Land use ; Coal mining ; Surface mining ; Strip mining ; Land reclamation ; Regulations ; Legislation ; Illinois ; Indiana ; Ohio ; Kentucky ; Pennsylvania ; West Virginia ; Regional planning ;
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9100G2PX.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB82-105172 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/23/1988
Collation 136p
Abstract
This report was prepared as part of the Ohio River Basin Energy Study (ORBES), a multidisciplinary policy research program supported by the Environmental Protection Agency. It reports on the land use changes resulting from the surface mining of coal in the Ohio River Basin, which depend on the distribution of the coal, the economic attractiveness of the coal demand, rigor and effectiveness of regulatory mechanisms, and the resilience of the existing ecosystems. The three levels of coal demand assumed are taken from ORBES scenarios. The study analyzes existing industrial and governmental data on distribution, availability, and extraction of strippable coal. The history of reclamation enforcement and compliance is examined, and several potential land use results of the Federal Surface Mining Control and Reclamation Act of 1977 are analyzed. All of these factors are compared to existing patterns of topography, agriculture, and forestry.