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Proceedings Paper

Use of neural networks for assessment of adverse impact duration of solid waste disposal facilities on the aquatic environment
Author(s): Ewa Kmiecik; Irena Twardowska; Jadwiga Szczepanska
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Paper Abstract

Routine monitoring and long-term studies conducted in 19-years’ hydrologic cycle in the Upper Silesia Coal Basin (USCB), Poland, show extensive release to ground and surface waters of contaminant loads from mining waste. For simulation of the time-dependent changes of Acid Rock Drainage (ARD) generation expressed as sulfate formation due to oxidation of ferrous sulfides occurring in solid phase of mining waste, models of supervised neural networks were used. It was found that with use of such a model, the time span in which the concentration of a contaminant will reach the permissible level or the process of its release will terminate could be evaluated with a precision sufficient for practical purposes (the relative error did not exceed 1%). The results of simulation of temporal and spatial contaminant concentration changes will be utilized as a basis for assessment of an extent of the environmental deterioration dependent on the duration of a waste disposal in the site. These analyses enable to obtain reliable models describing time-dependent changes of water quality in the vicinity of long-term contamination sources, which seems to be their most essential merit The models allow also to evaluate the duration of the adverse impact of a facility on the aquatic environment and to reduce the expenses on the monitoring through the reduction of a number of samples and analyses.

Paper Details

Date Published: 4 March 2004
PDF: 8 pages
Proc. SPIE 5270, Environmental Monitoring and Remediation III, (4 March 2004); doi: 10.1117/12.515172
Show Author Affiliations
Ewa Kmiecik, Univ. of Mining and Metallurgy (Poland)
Irena Twardowska, Institute of Environmental Engineering (Poland)
Jadwiga Szczepanska, Univ. of Mining and Metallurgy (Poland)

Published in SPIE Proceedings Vol. 5270:
Environmental Monitoring and Remediation III
Tuan Vo-Dinh; Klaus P. Schäfer; Guenter Gauglitz; Dennis K. Killinger; Robert A. Lieberman, Editor(s)

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