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    Öğe
    Adsorptive separation of adipic acid from aqueous solutions by perlite or its composites by manganese or copper
    (Techno-Press, 2014) Uslu, Hasan; Demir, Goksel; Bayat, Cuma; Wasewar, Kailas L.; Bamufleh, Hisham S.
    Adipic acid (hexane-1,6-dioic acid) is one of the most used chemical in industrial applications. This must be separated from any environmental contaminant. In this study, adipic acid separation from wastewater by adsorption method onto Perlite or Perlite + Mn or Perlite + Cu composites was investigated. Adsorption of Adipic acid was investigated in terms of equilibrium, and thermodynamic conditions. For thermodynamic investigations the experiments carried out at three different temperatures (298 K, 318 K, 328 K). In the equilibrium studies, 2 g of perlite and its composites were determined as the optimal adsorbent amount. Freundlich and Langmuir isotherms were applied to the experimental data. Freundlich isotherms for all temperatures used in this work gave some deviations with R square values under 0.98 where as Langmuir isotherm gave good results with R square values upper 0.99 at different temperatures. As a result of thermodynamic studies, adsorption enthalpy (Delta H), adsorption entropy (Delta S), and adsorption free energy (Delta G) have been calculated for each adsorbents.
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    Öğe
    SELECTION OF ALTERNATIVE LANDFILL LOCATION BY USING A GEOGRAPHICAL INFORMATION SYSTEM. EUROPEAN SIDE OF ISTANBUL. CASE STUDY
    (Technical Univ Wroclaw, 2016) Demir, Goksel; Kolay, Umut E.; Okten, H. Eser; Alyuz, Ummugulsum; Bayat, Cuma
    One of the most difficult tasks encountered when implementing waste management practices in Turkey involves the selection of the most suitable area for a landfill. The Geographic Information System (GIS) which possesses the ability to imitate and process economic and environmental constraints, presents itself as a useful and effective decision support tool. This study will utilize the GIS to determine feasible alternative landfill areas on the European side of Istanbul, which has a high density population, showing that accurate selection results can be achieved at lower cost.