Yasar Nuhoglu

Thermodynamic and kinetic studies for environmentaly friendly Ni(II) biosorption using waste pomace of olive oil factory

The objective of this study is to assess the environmentaly friendly Ni(II) adsorption from synthetic wastewater using waste pomace of olive oil factory (WPOOF). Batch kinetic studies were performed in order to investigate the adsorbent and adsorbate dose, solution pH, agitating speed and temperature. The maximum Ni(II) adsorption was obtained at pH 4.0. The equilibrium nature of Ni(II) adsorption at different temperature was described by the Freundlich, Langmuir and Temkin isotherms. The equilibrium data fit well the Temkin and Langmuir isotherm. The monolayer adsorption capacities of WPOOF as obtained from Langmuir isotherm at 60 degrees C was found to be 14.80 mg/g. The adsorption mechanism was examined by the FTIR technique. The results of the thermodynamic investigations indicated that the adsorption reactions were spontaneous (DeltaG < 0), slightly endothermic (DeltaH > 0) and irreversible (DeltaS > 0). The pseudo first-order, pseudo second-order, Elovich and intraparticle diffusion kinetic models were used to describe the kinetic data.

The removal of Cu(II) from aqueous solutions by Ulothrix zonata.

In this work, adsorption of copper(II) ions on alga has been studied by using batch adsorption techniques. The equilibrium biosorption level was determined as a function of contact time at several initial metal ion concentrations. The effect of adsorbent concentration on the amount adsorbed was also investigated. The experimental adsorption data were fitted to the Langmuir adsorption model. The free energy change (deltaG0) for the adsorption process was found to be -12.60 kJ/mol. The results indicated that the biomass of Ulothrix zonata is a suitable biosorbent for both the removal and recovery of heavy metals from wastewater.

Interaction between air pollution and meteorological parameters in Erzurum, Turkey

In recent years, the rapid increase in population density has caused increases in the consumption of fuel, and the outdoor air quality has deteriorated in the crowded urban areas of Turkey. Erzurum, a city in the eastern part of Turkey, is influenced by air pollutants such as SO2 and suspended particles. It is known that, in general, the air pollution concentrations have a close relationship with meteorological factors. In this study, the relationship between outdoor air quality data and meteorological factors, such as wind speed, rainfall, temperature, sunshine hours and relative humidity, is statistically analysed, using the code SPSS. According to the results obtained through multiple linear regression analysis, there are moderate levels of correlation between SO2 and particle concentrations and meteorological factors in Erzurum.

Air pollution modelling of the Calabrian pine forests withered by the Yatagan thermal power plant, Turkey

The emissions from the chimney of the Yatagan thermal power plant have caused a 3050-hectare forest to wither. Such air pollutants as sulfur dioxide, nitrogen oxides and fly ash are carried towards the Bencikdagi Calabrian pine forests on the prevailing north-east winds. To study these effects, the Q-Basic computer program developed for the Gaussian puff model was used with meteorological data provided by the Yatagan Meteorological Office and the pollutant loads formed by the thermal power plant. In the grid system on the map showing the surroundings of the thermal power plant, the concentrations of the pollutants in each grid square were determined. The Yatagan plant has three units containing 9000 mg/m³ sulfur dioxide, 1800 mg/m³ nitrogen oxides and 680 mg/m³ fly ash in its chimneys. The minimum pollutant emissions were found to be 100 µg/m³ SO2, 20 µg/m³ NOx2, and 77 µg/m³ NOx