in this study, a temperature-dependent of the dispersion coefficients is calculated from equation state.the lennard-jones lj (12-6-3) effective pair potential function and simple thermodynamic argumentwith the input pvt data of liquid metals are used to calculate the dispersion coefficients. the dispersioncoefficients ( , , ) 3 6 12 c c c are found to be a linear function of 1/t1+α , where t is...

This study involved the determination of heavy metals of Cd, Cr, Cu, Pb and Zn in cauliflower (Brassica oleracea L. var botrytis L.), carrot root (Daucus carota L.), tomato fruit (Lycopersicum esculentum Mill.), onion bulb (Allium cepa L.) and leafy cabbage (Brassica oleracea L. var capitata L.) and the respective soils from Lushoto District, Tanzania. Samples were collected from eight growing ...

plants are the most common bioindicatorsused in air quality biomonitoring studies because they are immobile and they have more sensitive to the most prevalent air pollutants than humans and animals. to identify the concentrations and sources of heavy metals in ornamental plants of isfahan landscape, samples of leaves and soil around pinuseldarica and nerium oleander were collected at different ...

The concentrations of heavy metals (mg/g) Pb, Ni, Cu, Cr, Fe, Co, Cd, and Hg in the water and sediments of river Ijana Warri, were determined in order to assess the impact of petroleum-processing activities on the river and the surrounding environment. The data showed that the levels of these metals ranged between 0.15-1.18 and 0.10-0.48 in sediment and water respectively. The heavy metals conc...

Considerable interest is continuing to be shown in the speciation of metals, metalloids, and organometals due to the dependence of their toxicity and mobility on their chemical form. This review focuses on the speciation analysis of metals, metalloids, and organometals by solid phase extraction before spectrometric detection, and all aspects of analytical speciation such as determination of oxi...

Nowadays 90% of the required water of Iran is secured with groundwater resources and forecasting of pollutants content in these resources is vital. Therefore, this research aimed to develop and employ the feedforward artificial neural network (ANN) to forecast the arsenic (As), lead (Pb), and zinc (Zn) concentration in groundwater resources of Asadabad plain. In this research, the ANN models we...

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