Volume 33, Issue 6 pp. 1265-1278

IMPROVEMENT OF LEACHATE PREDICTION THROUGH MUNICIPAL SOLID WASTE LAYERS1

Mark Uguccioni

Mark Uguccioni

Respectively, Project Engineer, Stanley Environmental, 400–10160 112th St., Edmonton, AB, Canada T5K 2L6; and Associate Professor, Department of Civil Engineering, University of Alberta, Edmonton, AB, Canada T6G 2G7.

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Chris Zeiss

Chris Zeiss

Respectively, Project Engineer, Stanley Environmental, 400–10160 112th St., Edmonton, AB, Canada T5K 2L6; and Associate Professor, Department of Civil Engineering, University of Alberta, Edmonton, AB, Canada T6G 2G7.

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First published: 08 June 2007
Citations: 7
1

Paper No. 96096 of the Journal of the American Water Resources Association (formerly Water Resources Bulletin). Discussions are open until August 1, 1998.

Abstract

ABSTRACT: Existing leachate prediction models over- or underestimate leachate generation by up to three orders of magnitude. Practical experiments show that channeled flow in waste leads to rapid discharge of large leachate volumes and heterogeneous moisture distributions. In order to more accurately predict leachate generation, leachate models must be improved. To predict moisture movement through waste, the one-domain water balance model HELP, and two-domain PREFLO, are tested. Experimental waste and leachate flow values are compared with model predictions. When calibrated with experimental parameters, the HELP model yields reasonable predictions of cumulative leachate flow and PREFLO provides estimates of breakthrough time. In the short term, field capacity has to be reduced to 0.12 and effective storage and hydraulic conductivity of the waste must be increased to 0.2 and 2.2 cm/s respectively. In the long term, a new modeling approach must be developed to adequately describe the moisture movement mechanisms.

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