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Electrochemical treatment of olive mill waste powered by photovoltaic solar energy

Marmanis D., Dermentzis K., Christoforidis A., Diamantis V., Ouzounis K., Agapiou A., Stylianou M.

Journal of Power Technologies

2018

Vol. 98, nr 5

377--381

The proposed photovoltaic electrochemical (PV-EC) process combines autonomous and environmentally friendly photovoltaic solar energy with the capability of the combined electrocoagulation/electrooxidation process to effectively remediate toxic olive mill wastewaters and simultaneously produce electrolytic hydrogen. The photovoltaic array can be connected directly to an electrochemical reactor without batteries increasing, in this way, system sustainability and eliminating the environmental threat of poor battery disposal management. The PV-EC system is proved versatile according to the instantaneous solar irradiation by adjusting the wastewater flow rate to the current intensity supplied by the photovoltaic array. Operating parameters affecting the efficiency of the proposed process, such as wastewater flow rate, conductivity, current density, electroprocessing time and solar irradiance were studied and optimal conditions were investigated. The experimental results showed that the initial COD of 21000 mg/dm3 and turbidity of 162 NTU of the olive mill waste sample, were effectively reduced to 122 mg/dm3 and 0 NTU, respectively, after treating the wastewater by both, batch wise and continuously operated electrocoagulation and electrooxidation or combination of the two processes. The proposed process is a safe method for effective treatment of toxic and recalcitrant wastes, such as oily olive mill wastewaters, especially for applications in remote and isolated locations with lack of electric grid.

Optimizing statistical classification accuracy of satellite remotely sensed imagery for supporting fast flood hydrological analysis

Alexakis D., Agapiou A., Hadjimitsis D., Retalis A.

Acta Geophysica

2012

Vol. 60, no. 3

959-984

The aim of this study is to improve classification results of multispectral satellite imagery for supporting flood risk assessment analysis in a catchment area in Cyprus. For this purpose, precipitation and ground spectroradiometric data have been collected and analyzed with innovative statistical analysis methods. Samples of regolith and construction material were in situ collected and examined in the spectroscopy laboratory for their spectral response under consecutive different conditions of humidity. Moreover, reflectance values were extracted from the same targets using Landsat TM/ETM+ images, for drought and humid time periods, using archived meteorological data. The comparison of the results showed that spectral responses for all the specimens were less correlated in cases of substantial humidity, both in laboratory and satellite images. These results were validated with the application of different classification algorithms (ISODATA, maximum likelihood, object based, maximum entropy) to satellite images acquired during time period when precipitation phenomena had been recorded.