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Dimitris V. Vayenas

Researcher at University of Patras

Publications -  42
Citations -  1119

Dimitris V. Vayenas is an academic researcher from University of Patras. The author has contributed to research in topics: Trickling filter & Chemical oxygen demand. The author has an hindex of 18, co-authored 42 publications receiving 874 citations. Previous affiliations of Dimitris V. Vayenas include Foundation for Research & Technology – Hellas & University of Ioannina.

Papers
More filters
Journal ArticleDOI

Simultaneous biological removal of ammonia, iron and manganese from potable water using a trickling filter

TL;DR: In this article, a pilot-scale trickling filter with dual layer support material was constructed and tested for simultaneous biological removal of ammonia, iron and manganese from potable water.
Journal ArticleDOI

Treatment of printing ink wastewater using electrocoagulation.

TL;DR: Toxicity tests currently performed with the use of larvae of the fairy shrimp Thamnocephalus platyurus revealed a substantial decrease in the toxic potential of printing ink wastewater, thus indicating the efficiency of the proposed electrocoagulation process.
Journal ArticleDOI

Modeling the diurnal variation of nitrate during the Pittsburgh Air Quality Study

TL;DR: In this paper, the Gibbs Free-Energy Minimization model (GFEMN) was used to simulate the partitioning of PM2.5 nitrate aerosol and nitric acid using highly time-resolved inorganic measurements collected at the Pittsburgh Air Quality Study during July 2001 and January 2002.
Journal ArticleDOI

Modelling of biological Cr(VI) removal in draw-fill reactors using microorganisms in suspended and attached growth systems.

TL;DR: In this paper, the kinetics of hexavalent chromium bio-reduction in draw-fill suspended and attached growth reactors was examined using sugar as substrate and indigenous microorganisms from the industrial sludge of the Hellenic Aerospace Industry.
Journal Article

Simulation of the thermodynamics and removal processes in the sulfate-ammonia-nitric acid system during winter : Implications for PM2.5 control strategies : Particulate matter supersites

TL;DR: In this paper, an observation-based box model, the thermodynamic model with removal (TMR), was introduced to estimate responses of PM 2.5 to precursor concentrations, and the model was used to investigate sulfate, total ammonia, and total nitric acid control strategies for western Pennsylvania during the winter using measurements obtained in the Pittsburgh Air Quality Study.