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CEST Proceedings are published under the ISSN 2944-9820.
Phosphorus and nitrogen recovery from wastewater in the form of struvite: Alternative magnesium sources
(Corresponding) Koutsoukos P., Primikyris G., Siachos K.
Topic:
Wastewater treatment
Recovery of phosphorus and nitrogen from municipal and other types of wastewater may be achieved through the direct crystallization of struvite (magnesium ammonium phosphate hexahydrate, Mg·NH4·PO4·6H2O). Wastewater deficiency in magnesium makes it necessary for the external addition of magnesium...Read more
Statistical prediction models for the odour emissions quantification in terms of odour concentration: Analysis and comparison
(Corresponding) Galang M., Ballesteros Jr. F., Zarra T., Naddeo V., Belgiorno V.
Topic:
Environmental odour, monitoring and control
Measuring odour concentration is a significant step to achieve efficient environmental odour management in continuous, objective and repeatable manner. To deal with this, researchers developed instrumental odour monitoring systems (IOMS) by applying odour monitoring models (OMM) for prediction. At...Read more
Formation of artificial lakes is a common practice for hydroelectric power generation. Hydroelectricity is considered to be a green and renewable energy source in terms of factory operation. However, hydroelectricity generation may have environmental impact arisen from greenhouse gas (GHG)...Read more
Keywords:
Hydroelectricity, Artificial lake, Greenhouse Gases, Water quality
Prediction of Algal Bloom Occurrence in Laguna Lake, Philippines using Artificial Neural Networks (ANN)
(Corresponding) Esguerra G., Ballesteros F.
Topic:
Lakes, rivers, estuaries and ecosystem health
Algal blooms pertain to an undesirable formation of unicellular freely-floating algal scum caused by the rapid growth of phytoplankton, which can become a hazard for the water body ecosystem. Laguna Lake serves as both a source of livelihood and water supply for the residents in the region and the...Read more
Keywords:
algal blooms, phytoplankton counts, artificial neural networks, Laguna de Bay, water quality prediction
Silver decorated TiO2/g-C3N4 nanocomposites for photocatalytic elimination of water pollutants under UV and artificial solar light
Ibrahim I., Belessiotis G., Kaltzoglou A., Katsaros F., Salama T., (Corresponding) Falaras P.
Topic:
Water treatment
TiO2/g-C3N4/Ag nanocomposites were prepared and used as highly efficient photocatalysts. TiO2 nanoparticles were first prepared using a sol-gel process, and titania herostructures with varying amounts of graphitic carbon nitride (g-C3N4) were created using a hydrothermal technique. Following...Read more
Keywords:
TiO2/g-C3N4/Ag nanocomposites; UV and artificial solar light; Organic-inorganic pollutants degradation.
Artificial Neural Network (ANNs) for predicting petroleum hydrocarbons from heavy metals contaminated soils around fuel stations
(Corresponding) Bonelli M., Manni A., Saviano G.
Topic:
Environmental data analysis and modelling
Petrol stations are classified as a dangerous source of pollution for the human population due to the toxicity of emissions from evaporated vehicle fuels and fuel spillages. The contaminants released in the environment are mainly complex mixtures of petroleum hydrocarbon compounds (PHCs) and heavy...Read more
Keywords:
Artificial Neural Network predictions, heavy metals, field portable XRF, petroleum hydrocarbon compounds
Microalgae bio-fixation efficiency of carbon dioxide through innovative planar photobioreactor
Costantino V., Carone M., (Corresponding) Riggio V., (Corresponding) Derossi C., Alpe D., Occhipinti A., Zanetti M.
Topic:
Climate change mitigation and adaptation
The high anthropogenic activity of recent centuries has led to an urgent need to improve CO2 capture and sequestration technologies. In this context, microalgae systems have gained importance, thanks to their high photosynthetic efficiency and the many applications to which they can be destined...Read more
Keywords:
Acutodesmus obliquus, photobioreactor, CO2 biofixation, artificial light.
Modelling the operation of a Water Treatment Plant based on Artificial Neural Networks
(Corresponding) GYPARAKIS S., TRICHAKIS I., VAROUCHAKIS E., DIAMADOPOULOS E.
Topic:
Water treatment
The main purpose of this study is to model the operation of a Drinking Water Treatment Plant (DWTP) using its main operational and water quality parameters in a fast, easy and reliable way. This study is based on a large number of data from recent years (2019-2021). The DWTP has a maximum capacity...Read more
Comparison of regression model and artificial neural network model in noise prediction in a mixed area of Dhaka City
(Corresponding) Chowdhury V., Zarif S., Tofa T., Laskar M.
Topic:
Environmental data analysis and modelling
The equivalent noise levels regularly exceed acceptable limits within Dhaka city, the capital of Bangladesh, especially in the mixed urban areas (where trips are generated to serve commercial, residential, and industrial demands). The study aims to assess the noise level in mixed urban areas, build...Read more
Nonlinear Autoregressive Neural Networks for Air Temperature forecasting
Philippopoulos K., (Corresponding) Tzanis C., Deligiorgi D., Alimissis A.
Topic:
Environmental data analysis and modelling
In the field of climatic conditions forecasting, the linear classical time series models are inadequate for modelling and predicting accurately the air temperature variability. This work presents the novel application of nonlinear autoregressive neural networks (NAR) in air temperature forecasting...Read more
