caa a22 4500 467904219 CHVBK 20180406152828.0 cr unu---uuuuu 170328e20061001xx s 000 0 eng 10.1007/s10661-005-9144-y doi (NATIONALLICENCE)springer-10.1007/s10661-005-9144-y Characterization of the Leachate in an Urban Landfill by Physicochemical Analysis and Solid Phase Microextraction-GC/MS [Elektronische Daten] [Müfide Banar, Aysun Özkan, Mine Kürkçüoğlu] The aim of this study is to evaluate extensively the characterization and identification of major pollutant parameters by paying attention to the organic chemical pollution for unregulated dumping site leachate in Eskişehir/Turkey. The study that is first and only one research has been very important data related with before new sanitary landfill site in Eskişehir city. For this purpose, in this study leachate samples were collected in-situ at monthly interval for a period of 8 months. Firstly, thirty three physicochemical parameters were monitored. Secondly, SPME technique was used for identification of organic pollutants. Meteorological data were also recorded for the same sampling period to correlate meteorological data and physicochemical parameters. Mean values are used in the correlation analysis. Correlation is shown only for the relationship between air temperature and NO3 −. No correlation has been found between rain and leachate quality parameters since the amount of rain was very low during the sampling period. However, analysis results were generally decreased in winter season when each parameter and each sampling point are examined separately. According to correlation between every parameter, especially solid content and dissolved oxygen concentration of leachate is affecting to other parameters. Also, sodium and potassium are changing proportionally with same parameters (suspended solids, fixed solids, dissolved oxygen) and high correlation between chloride and heavy metal concentration is showing. The results were statistically evaluated by use of SPSS 10.0 program. Second part of the study, the leachate was extracted by Solid Phase Microextraction (SPME) technique and then analyzed. Of the methodologies tested in this study, the best one selected was based on 100 μ m polydimethylsiloxane coated fiber (PDMS), headspace with heating (Δ HS) sampling mode and an extraction time of 15 min. at a temperature of 50 o C. Thirty three organic compounds in leachate were identified by GC/MS. Springer Science+Business Media, Inc., 2006 municipal solid waste nationallicence landfill leachate nationallicence solid phase microextraction nationallicence gas chromatography-mass spectrometry nationallicence SPSS nationallicence Banar Müfide Department of Environmental Engineering Faculty of Engineering&Architecture, Anadolu University, Iki Eylül Campus, 26480, Eskişehir, Turkey aut Özkan Aysun Applied Research Centre for Environmental Problems, Anadolu University, Iki Eylül Campus, 26480, Eskişehir, Turkey aut Kürkçüoğlu Mine Faculty of Pharmacy, Anadolu University, Yunus Emre Campus, 26470, Eskişehir, Turkey aut Environmental Monitoring and Assessment Springer Netherlands 121/1-3(2006-10-01), 439-459 0167-6369 121:1-3<439 2006 121 10661 https://doi.org/10.1007/s10661-005-9144-y text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-005-9144-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Banar Müfide Department of Environmental Engineering Faculty of Engineering&Architecture, Anadolu University, Iki Eylül Campus, 26480, Eskişehir, Turkey aut NATIONALLICENCE 700 1- Özkan Aysun Applied Research Centre for Environmental Problems, Anadolu University, Iki Eylül Campus, 26480, Eskişehir, Turkey aut NATIONALLICENCE 700 1- Kürkçüoğlu Mine Faculty of Pharmacy, Anadolu University, Yunus Emre Campus, 26470, Eskişehir, Turkey aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Springer Netherlands 121/1-3(2006-10-01), 439-459 0167-6369 121:1-3<439 2006 121 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer