Comprehensive analysis and modeling of landfill leachate

Ergene, Didar
Aksoy, Ayşegül
© 2022 Elsevier LtdLandfill leachate data compiled from 220 different landfills from 46 countries in Europe, Middle East, Asia, Africa, and America was analysed by multivariate statistical approaches. Data pre-treatment procedure such as handling of outliers, completion of missing data, and standardization of data was applied to prepare the raw data matrix for the complex statistical analyses including cluster and principal component analyses (PCA). Regression modeling was conducted to estimate leachate parameter values. Results show that usually inorganic parameters, if included in the PCA, dominated the first components indicating the highest correlations as well as accounting for majority of the variation in the data. Those highly correlated parameters in landfill leachate could be important in evaluation of their pathways into leachate in terms of transport and biodegradation mechanisms as well as their elimination potential from sampling and analytical procedures during monitoring activities at landfills. Some leachate parameters having significantly high concentrations, such as organics, salts, and some inorganics, impacted the formation of components in PCA. This in turn provides important information about the specific characteristics of leachate samples and the landfills to which they belong.
Waste Management


Ergene Şentürk, Didar; Sanin, Faika Dilek; Aksoy, Ayşegül; Department of Environmental Engineering (2022-6-28)
Landfill leachate data compiled from 220 different landfills from 46 countries in Europe, Middle East, Asia, Africa, and America were analysed by multivariate statistical approach for the assessment of main properties as well as variation of leachate characteristics with respect to landfill age, climate, and development status. Results showed that inorganic content of leachate has the highest correlations with each other as well as accounting for the majority of variation in leachate. Changes in leachate co...
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Citation Formats
D. Ergene, A. Aksoy, and D. F. KURTULUŞ, “Comprehensive analysis and modeling of landfill leachate,” Waste Management, vol. 145, pp. 48–59, 2022, Accessed: 00, 2022. [Online]. Available: