title: Performance evaluation of a hybrid-passive landfill leachate treatment system using multivariate statistical techniques.
abstract: A pilot-scale hybrid-passive treatment system operated at the Merrick Landfill in North Bay, Ontario, Canada, treats municipal landfill leachate and provides for subsequent natural attenuation. Collected leachate is directed to a hybrid-passive treatment system, followed by controlled release to a natural attenuation zone before entering the nearby Little Sturgeon River. The study presents a comprehensive evaluation of the performance of the system using multivariate statistical techniques to determine the interactions between parameters, major pollutants in the leachate, and the biological and chemical processes occurring in the system. Five parameters (ammonia, alkalinity, chemical oxygen demand (COD), "heavy" metals of interest, with atomic weights above calcium, and iron) were set as criteria for the evaluation of system performance based on their toxicity to aquatic ecosystems and importance in treatment with respect to discharge regulations. System data for a full range of water quality parameters over a 21-month period were analyzed using principal components analysis (PCA), as well as principal components (PC) and partial least squares (PLS) regressions. PCA indicated a high degree of association for most parameters with the first PC, which explained a high percentage (>40%) of the variation in the data, suggesting strong statistical relationships among most of the parameters in the system. Regression analyses identified 8 parameters (set as independent variables) that were most frequently retained for modeling the five criteria parameters (set as dependent variables), on a statistically significant level: conductivity, dissolved oxygen (DO), nitrite (NO2(-)), organic nitrogen (N), oxidation reduction potential (ORP), pH, sulfate and total volatile solids (TVS). The criteria parameters and the significant explanatory parameters were most important in modeling the dynamics of the passive treatment system during the study period. Such techniques and procedures were found to be highly valuable and could be applied to other sites to determine parameters of interest in similar naturalized engineered systems.
authors.affiliation: Department of Civil Engineering, Queen's University, Ellis Hall, 58 University Avenue, Kingston, Ontario K7L 3N6, Canada. Electronic address: jack.wallace@ce.queensu.ca.
authors.forename: Jack
authors.initials: J
authors.lastname: Wallace
authors.affiliation: Department of Civil Engineering, Queen's University, Ellis Hall, 58 University Avenue, Kingston, Ontario K7L 3N6, Canada. Electronic address: champagne@civil.queensu.ca.
authors.forename: Pascale
authors.initials: P
authors.lastname: Champagne
authors.affiliation: National Institute for Applied Sciences - Lyon, 20 Avenue Albert Einstein, 69621 Villeurbanne Cedex, France. Electronic address: anne-charlotte.monnier@insa-lyon.fr.
authors.forename: Anne-Charlotte
authors.initials: AC
authors.lastname: Monnier
mesh_terms: D004784:Environmental Monitoring / Q000379:methods; D006863:Hydrogen-Ion Concentration; D016018:Least-Squares Analysis; D015999:Multivariate Analysis; D009573:Nitrites / Q000032:analysis; D009864:Ontario; D010100:Oxygen / Q000032:analysis; D025341:Principal Component Analysis; D013431:Sulfates / Q000032:analysis; D014874:Water Pollutants, Chemical / Q000737:chemistry; D018508:Water Purification / Q000379:methods*; D053833:Wetlands
chemical_list: D009573:Nitrites; D013431:Sulfates; D014874:Water Pollutants, Chemical; D010100:Oxygen
keywords: Landfills; Leachate chemistry; Leachate treatment; Principal components analysis; Regressions