| Main Title |
Resources allocation to optimize mining pollution control / |
| Author |
Shumate, Kenesaw S. ;
Smith, E. E. ;
Ricca, Vincent T. ;
Clark., Gordon M. ;
|
| Other Authors |
|
| CORP Author |
Ohio State Univ. Research Foundation, Columbus.;Industrial Environmental Research Lab.-Cincinnati, Ohio. Extraction Technology Branch. |
| Publisher |
U.S. Environmental Protection Agency, Office of Research and Development, Industrial Environmental Research Laboratory, |
| Year Published |
1976 |
| Report Number |
EPA-600-2-76-112; OSURF-3484; EPA-68-01-0724 |
| Stock Number |
PB-264 185 |
| OCLC Number |
03547024 |
| Subjects |
Mine drainage--Mathematical models ;
Coal mines and mining
|
| Additional Subjects |
Strip mining ;
Water pollution abatement ;
Mine waters ;
Mathematical models ;
Coal mining ;
Optimization ;
Drainage ;
Refuse ;
Watersheds ;
Time series analysis ;
Hydrology ;
Climate ;
Stream flow ;
Precipitation(Meteorology) ;
Allocations ;
Mine acid drainage
|
| Internet Access |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EJBD |
EPA 600-2-76-112 |
c.1 |
Headquarters Library/Washington,DC |
01/30/2014 |
| ELBD ARCHIVE |
EPA 600-2-76-112 |
Received from HQ |
AWBERC Library/Cincinnati,OH |
10/04/2023 |
| ESAD |
EPA 600-2-76-112 |
|
Region 10 Library/Seattle,WA |
03/23/2010 |
| NTIS |
PB-264 185 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
xv, 476 p. : ill. ; 28 cm. |
| Abstract |
A comprehensive model for mine drainage simulation and optimization of resource allocation to control mine acid pollution in a watershed has been developed. The model is capable of: (a) Producing a time trace of acid load and flow from acid drainage sources as a function of climatic conditions; (b) generating continuous receiving stream flow data from precipitation data; (c) predicting acid load and flow from mine drainage sources using precipitation patterns and watershed status typical of 'worst case' conditions that might be expected, e.g., once every 10 or 100 years; and (d) predicting optimum resource allocation using alternative methods of treatment and/or abatement for 'worst case' conditions during both wet and dry portions of the hydrologic year. |
| Notes |
Reproduced by National Technical Information Service. Includes bibliographies. |
