Location
Grand Rapids, Michigan
Start Date
16-5-2024 9:00 AM
End Date
16-5-2024 9:30 AM
Description
Comparative Analysis of Predicted vs. Observed Leachate Generation Rates in Three Coal Combustion Residual Landfills Authors Mr. John Trast - United States - GEI Consultants, Inc. Mr. Andrew Schwoerer - United States - GEI Consultants, Inc. Mr. Eric Kovatch - United States - WEC Energy Group Abstract This paper evaluates and compares the predicted leachate generation rates with the observed rates in three coal combustion residual (CCR) landfills. The study focuses on assessing the accuracy of predictive models and understanding the factors influencing the variation between predicted and observed leachate generation in Landfill A, Landfill B, and Landfill C. The investigation evaluates precipitation rates, landfill cover characteristics, and leachate volumes to capture variations in observed leachate generation for three CCR landfills in the upper Midwest. The collected data serves as a basis for evaluating the HELP model for leachate generation in CCR landfills. This paper aims to provide valuable insights into the effectiveness of the current HELP model for estimating leachate generation in CCR landfills and offering practical implications for leachate volume estimates during the post-closure period. The project enhances our understanding of the factors influencing leachate generation, contributing to more accurate predictions. Ultimately, the findings can aid in CCR landfill management during the post-closure period.
Document Type
Presentation
Comparative Analysis of Predicted vs. Observed Leachate Generation Rates in Three Coal Combustion Residual Landfills
Grand Rapids, Michigan
Comparative Analysis of Predicted vs. Observed Leachate Generation Rates in Three Coal Combustion Residual Landfills Authors Mr. John Trast - United States - GEI Consultants, Inc. Mr. Andrew Schwoerer - United States - GEI Consultants, Inc. Mr. Eric Kovatch - United States - WEC Energy Group Abstract This paper evaluates and compares the predicted leachate generation rates with the observed rates in three coal combustion residual (CCR) landfills. The study focuses on assessing the accuracy of predictive models and understanding the factors influencing the variation between predicted and observed leachate generation in Landfill A, Landfill B, and Landfill C. The investigation evaluates precipitation rates, landfill cover characteristics, and leachate volumes to capture variations in observed leachate generation for three CCR landfills in the upper Midwest. The collected data serves as a basis for evaluating the HELP model for leachate generation in CCR landfills. This paper aims to provide valuable insights into the effectiveness of the current HELP model for estimating leachate generation in CCR landfills and offering practical implications for leachate volume estimates during the post-closure period. The project enhances our understanding of the factors influencing leachate generation, contributing to more accurate predictions. Ultimately, the findings can aid in CCR landfill management during the post-closure period.
