Conference proceedings

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CEST Proceedings are published under the ISSN 2944-9820.

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
Keywords: 
artificial neural network, dynamic olfactometry, environmental odour, instrumental odour monitoring system, municipal solid waste
Paper ID: 
cest2019_00391

ADVANCED INSTRUMENTAL ODOUR MONITORING SYSTEM FOR ENVIRONMENTAL ODOUR CONTINUOUS MANAGEMENT AND CONTROL IN COMPLEX INDUSTRIAL PLANTS

(Corresponding) Meloni M., Zarra T., Pittoni G., Naddeo V., Belgiorno V.
Topic: 
Environmental odour, monitoring and control
Odour emissions from complex industrial plants can cause potential impacts on the surrounding areas and, as consequence, complaints with the local residents. The identification of specific Odour control plan is therefore needed in the plant management. The current challenge is the definition of...Read more
Keywords: 
Air pollution, Odour impact, Dynamic Olfactometry, Petroleum Refinery
Paper ID: 
cest2019_00394

A Model of Marine Litter in Sustainable Fisheries

(Corresponding) Nguyen L.
Topic: 
Microplastics in the marine environment
This paper studies the dynamics of an economy specialized in fisheries facing a rising marine litter problem. We present a dynamic optimization model to explain the mechanism through which marine litter causes inefficiencies in the fishery sector. We study the dynamic properties of the model when...Read more
Keywords: 
marine litter, plastics, fishery sector, dynamic optimization, incentive scheme
Paper ID: 
cest2019_00502

Performance evaluation of a flat sheet self-forming dynamic membrane (SFDM) for municipal wastewater treatment containing organic micropollutants

MILLANAR-MARFA J., (Corresponding) Borea l., CASTROGIOVANNI F., NAPODANO P., DE LUNA M., BELGIORNO V., NADDEO V., (Corresponding) Hasan S.
Topic: 
Wastewater treatment
Membrane bioreactors gained increasing interest due to its small footprint and high efficiency. Nonetheless, high capital and operational cost of MBR remains a challenge. With the aim to reduce MBR cost, this study used Dacron mesh to form a dynamic membrane that serves as a substitute to...Read more
Keywords: 
Dynamic membrane, MBR, organic micropollutant, fouling
Paper ID: 
cest2019_00938

Spatial explicit evaluation of potential future developments of forests due to climatic change and nitrogen deposition

Dr. Jenssen M., Dr. Nickel S., (Corresponding) Dr. Schröder W.
Topic: 
Enviornmental data analysis and modelling
Climate change and atmospheric nitrogen deposition can impact the integrity of ecosystems. Therefore, the EU Biodiversity Strategy foresees that Member States map and assess the state of ecosystems and their services in their national territory. By example of Germany, this article presents a...Read more
Keywords: 
Keywords. Ecosystem classification, integrity, dynamic and fuzzy modelling; Geographic Information System.
Paper ID: 
cest2019_00956

Effect of current density value and current application period on the wastewater treatment performance of Electrochemically Enhanced Self-Forming Dynamic Membrane Bioreactors (e-SFDMBRs)

(Corresponding) Almalvez J., Morales-Corpuz M., Borea L., Castrogiovanni F., Napodano P., Belgiorno V., Naddeo V., Ballesteros F.
Topic: 
Wastewater treatment
The use of membrane reactor in wastewater treatment gained interest for the past years due to its high-quality effluent. However, expensive membranes and high operational costs due to membrane fouling limit the wide application of this process. Research on fouling control by combining membrane use...Read more
Keywords: 
electrochemical process, membrane fouling, membrane bioreactor, dynamic membrane
Paper ID: 
cest2021_00234

Pilot-scale membrane bioreactor for wastewater treatment using innovative encapsulated self-forming dynamic membrane

Castrogiovanni F., Borea L., HASAN S., Belgiorno V., (Corresponding) Naddeo V.
Topic: 
Wastewater treatment
The use of membrane bioreactors (MBR) is a promising technique for wastewater treatment that manages to respect the restrictive limits imposed by regulations. However, during the filtration process membranes are subject to fouling which requires additional costs for cleaning and replacing the...Read more
Keywords: 
Electrochemical processes, Current density, Membrane fouling, Dynamic membrane, Sustainable development
Paper ID: 
cest2021_00278

Wastewater Treatment and Membrane Fouling Control Using an Algae-Activated Sludge Self-Forming Dynamic Membrane Bioreactor (AAS-SFDMBR)

Corpuz M., Castrogiovanni F., Senatore V., Borea L., Buonerba A., Zarra T., Belgiorno V., Hasan S., Ballesteros F., Napodano P., (Corresponding) Naddeo V.
Topic: 
Wastewater treatment
Self-forming dynamic membrane bioreactors (SFDMBRs), which utilize formed biomass layer and large pore-size mesh/ support materials instead of conventional membrane materials, have been studied for wastewater treatment applications. The consortium of algae and activated sludge bacteria has also...Read more
Keywords: 
Fouling mitigation; Self-Forming Dynamic Membrane; Microalgae, Nutrients removal
Paper ID: 
cest2021_00283

Alternative wastewater treatment process with algae (AlgA) – general mathematical model and dynamic simulation

(Corresponding) Lorenz T., Behr A., Theilen U.
Topic: 
Wastewater treatment
Conventional wastewater treatment systems are based on processes including the steps of pre-/ primary, sec-ondary and finally the sludge treatment. In this study a treatment step with algae as an alternative secondary treatment is supposed to improve the biological nutri-ent removal efficiency. In...Read more
Keywords: 
microalgae-bacteria model; alternative wastewater treatmen; dynamic simulation
Paper ID: 
cest2021_00431

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
Keywords: 
Air temperature, Machine Learning, Artificial Neural Networks, Dynamic Neural Networks, Forecasting
Paper ID: 
cest2021_00485