Comprehensive analysis and modeling of landfill leachate

2022-05-15
Ergene, Didar
Aksoy, Ayşegül
KURTULUŞ, DİLEK FUNDA
© 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

Suggestions

COMPREHENSIVE META ANALYSIS OF WORLDWIDE LANDFILL LEACHATE
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...
Spatiotemporal analysis of brucellosis incidence in Iran from 2011 to 2014 using GIS
Pakzad, Reza; Pakzad, Iraj; Safiri, Saeid; Shirzadi, Mohammad Reza; Mohammadpour, Marzieh; Behroozi, Abbas; Sullman, Mark J. M.; Janati, Ali (2018-02-01)
Objective: To investigate the distribution and trends associated with brucellosis incidence rates in Iran from 2011 to 2014.
Practical tools for ranking and selection of groundmotion prediction equations (GMPEs) for probabilistic seismic hazard assessment and development of a regional GMPE
Kale, Özkan; Akkar, Sinan; Danciu, Laurentiu; Department of Civil Engineering (2014)
This study starts summarizing the progresses in ground-motion databases and ground-motion models in pan-European region and consequent seismic hazard comparisons conducted for individual local and global predictive models. Then, the study presents the compilation of the Middle East region and Turkish ground-motion databases with principle seismological features to be mainly used in predictive model selection process in these regions. In the following step, using a high standard subset of the Middle East gro...
Estimation and hypothesis testing in stochastic regression
Sazak, Hakan Savaş; Tiku, Moti Lal; İslam, Qamarul; Department of Statistics (2003)
Regression analysis is very popular among researchers in various fields but almost all the researchers use the classical methods which assume that X is nonstochastic and the error is normally distributed. However, in real life problems, X is generally stochastic and error can be nonnormal. Maximum likelihood (ML) estimation technique which is known to have optimal features, is very problematic in situations when the distribution of X (marginal part) or error (conditional part) is nonnormal. Modified maximum...
Emerging market sovereign bond spreads, credit ratings and global financial crisis
Özmen, Erdal; Yasar, Ozge Doganay (2016-12-01)
This paper investigates the impacts of sovereign credit ratings and global financial conditions on.the evolution of EMBI Global (EMBIG) spreads for a panel of 23 developing countries by using daily data for the period between 1998 and 2012. To this end, we employ not only the conventional panel estimation procedures, but also the recent methods tackling with either cross-sectional dependence stemming from common global shocks or a potential endogeneity. Our results suggest that credit ratings along with glo...
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: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85130636784&origin=inward.