2024 : 11 : 22
Mohsen Nasrabadi

Mohsen Nasrabadi

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0001-8061-8836
Education: PhD.
ScopusId: 41461689600
HIndex:
Faculty: Agriculture and Environment
Address: Arak University
Phone:

Research

Title
Experimental Study of Flow Turbulence Effect on Cadmium Desorption Kinetics from Riverbed Sands
Type
JournalPaper
Keywords
Desorption, Riverbed Sediments, Cadmium, Turbulence, Kinetics Models
Year
2022
Journal Environmental Process
DOI
Researchers Mohsen Nasrabadi ، Mohammad Hosein Omid ، Ali Mahdavi Mazdeh

Abstract

Cadmium desorption ‎from the river bed ‎sediments has been ‎experimentally investigated. Artificially contaminated sediments with ‎cadmium (Cd) were prepared ‎for performing batch desorption ‎experiments. The experiments were conducted by adding 1 g of contaminated ‎sediment (D50 = 0.53 mm), containing different amounts ‎of adsorbed ‎Cd, to 50 mL of ‎distilled water at different times (0, 5, 15, 30, 60, 120, 300, and 720 min) and shaking to reach an equilibrium desorption rate. In addition, the experiments were conducted for ‎two agitation rates of 100 and 200 rpm. It was concluded that the cadmium ions were strongly bond to the river bed sediment; meanwhile, at the ‎equilibrium time, up to about 7 to 29% of cadmium ions were ‎released from the‎ artificially contaminated sediments. It was also revealed that by increasing the flow turbulence, the amount ‎of desorbed cadmium is slightly increased. Besides, the desorption kinetics was evaluated using eight models of zero-, first-, second-, third-order, ‎parabolic diffusion, double parabolic diffusion, two-constant rate, and simple Elovich. The results of the evaluation showed that simple Elovich (with R2 = 0.991), double parabolic diffusion (with R2 = 0.9882), two constant rate (with R2 = 0.983), and parabolic diffusion models (with R2 = 0.846) have the best performance in calculation of Cd desorption rate from the sediments. The results of this study on kinetics of Cd adsorption and desorption onto/from the natural sediments may be useful for predicting efficiency of heavy metal decontamination in rivers.