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Title: Application of a coal-pile drainage model to an industrial/institutional site

Abstract

This report describes the site selection, field sampling and analysis and mathematical model calibration and verification process used to apply a coal pile drainage model to an industrial/institutional site, e.g., a small storage pile of less than 25 tons. The field program included 10 weeks of monitoring drainage flow, pH, conductivity, precipitation, coal moisture, and pile infiltration rates with the analysis of drainage water for acidity, filterable and nonfilterable residue, sulfate and ten trace metals. The program was performed at Cornell University's steam plant coal pile. Five storms were sampled ranging from 0.62 inches to 1.59 inches of rain. The pH of the runoff was generally in the range of 2.0 to 2.8. In several instances, metals concentrations exceeded New York State Department of Environmental Conservation (NYSDEC) effluent limitations for Class GA waters. The model which has two parts, H20TRC (hydraulic) and TRCCOAL (water quality) was calibrated and verified using the field data. The hydraulic portion was able to predict flows within 12% for large storms. The water quality portion was able to predict within 20% for sulfate and iron loadings but was not as accurate in predicting the acid loading. 21 figures, 13 tables.

Publication Date:
Research Org.:
TRC Environmental Consultants, Inc., East Hartford, CT (USA)
OSTI Identifier:
5842480
Report Number(s):
NYSERDA-83-14
ON: DE83910854
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
01 COAL, LIGNITE, AND PEAT; COAL; STOCKPILES; STORAGE; LEACHATES; CHEMICAL ANALYSIS; DRAINAGE; RUNOFF; ELECTRIC CONDUCTIVITY; EXPERIMENTAL DATA; LEACHING; MATHEMATICAL MODELS; PH VALUE; SAMPLING; SITE SELECTION; WATER QUALITY; CARBONACEOUS MATERIALS; DATA; DISPERSIONS; DISSOLUTION; ELECTRICAL PROPERTIES; ENERGY SOURCES; ENVIRONMENTAL QUALITY; ENVIRONMENTAL TRANSPORT; FOSSIL FUELS; FUELS; INFORMATION; MASS TRANSFER; MATERIALS; MIXTURES; NUMERICAL DATA; PHYSICAL PROPERTIES; SEPARATION PROCESSES; SOLUTIONS; 013000* - Coal, Lignite, & Peat- Transport, Handling, & Storage; 010900 - Coal, Lignite, & Peat- Environmental Aspects

Citation Formats

. Application of a coal-pile drainage model to an industrial/institutional site. United States: N. p., 1983. Web.
. Application of a coal-pile drainage model to an industrial/institutional site. United States.
. 1983. "Application of a coal-pile drainage model to an industrial/institutional site". United States.
@article{osti_5842480,
title = {Application of a coal-pile drainage model to an industrial/institutional site},
author = {},
abstractNote = {This report describes the site selection, field sampling and analysis and mathematical model calibration and verification process used to apply a coal pile drainage model to an industrial/institutional site, e.g., a small storage pile of less than 25 tons. The field program included 10 weeks of monitoring drainage flow, pH, conductivity, precipitation, coal moisture, and pile infiltration rates with the analysis of drainage water for acidity, filterable and nonfilterable residue, sulfate and ten trace metals. The program was performed at Cornell University's steam plant coal pile. Five storms were sampled ranging from 0.62 inches to 1.59 inches of rain. The pH of the runoff was generally in the range of 2.0 to 2.8. In several instances, metals concentrations exceeded New York State Department of Environmental Conservation (NYSDEC) effluent limitations for Class GA waters. The model which has two parts, H20TRC (hydraulic) and TRCCOAL (water quality) was calibrated and verified using the field data. The hydraulic portion was able to predict flows within 12% for large storms. The water quality portion was able to predict within 20% for sulfate and iron loadings but was not as accurate in predicting the acid loading. 21 figures, 13 tables.},
doi = {},
url = {https://www.osti.gov/biblio/5842480}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jul 01 00:00:00 EDT 1983},
month = {Fri Jul 01 00:00:00 EDT 1983}
}

Technical Report:
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