Displaying 21 - 30 of 37 in Environmental data analysis and modelling (remove filter)
CEST Proceedings are published under the ISSN 2944-9820.
Study of the Airflow Around the Occupants in a Virtual Chamber Equipped with Impingement Ventilation System
(Corresponding) Conceição E., Conceição M., Lúcio M., Gomes J., Ramos A., Awbi H.
Topic:
Environmental data analysis and modelling
The study of the airflow around the occupants in a virtual chamber equipped with impingement ventilation system is made. This numerical study is carried out using a coupling of an integral numerical model, that simulates human thermal response systems, and differential numerical model, that...Read more
An Advanced Boussinesq-Type Model for Wave Propagation in Coastal and Harbour Areas
(Corresponding) Metallinos A., Chondros M., Papadimitriou A.
Topic:
Environmental data analysis and modelling
In this paper, an advanced numerical model for the simulation of wave propagation and transformation in coastal areas and inside ports is presented. This model is a fully dispersive and highly nonlinear 2DH Boussinesq-type model, extended to cover real-life applications, capable of simulating the...Read more
Fair and Efficient Allocation of EU Emission Allowances
(Corresponding) Dimos S., Fotakis D., Mathioudaki A., Papadopoulos K.
Topic:
Environmental data analysis and modelling
Under the European Union Emission Trading System (EU ETS), the European Union issues and allocates emission allowances (EUA) to the member states to cap the total volume of Greenhouse Gas (GHG) emissions. Since the first years of operation, the EU ETS allocation procedure has undergone multiple...Read more
Keywords:
EU ETS, Cap-and-Trade, Emission Trading System, Allowance Allocation, Individual Fairness
Grey Forecasting Models Optimized by Firefly Algorithm for Natural Gas Consumption Prediction in Turkey
Ozcan T., (Corresponding) Konyalioglu A., Beldek B.
Topic:
Environmental data analysis and modelling
Natural Gas is assumed to have a vital role as an energy source in all countries, serving as the primary fuel for industries, homes, and various sectors. The forecasting of natural gas consumption is very crucial for efficient energy management and the formulation of appropriate policies related to...Read more
Keywords:
Natural gas consumption; Grey forecasting; Parameter optimization; Firefly algorithm
A Machine Learning Approach for the prediction of solid fuels consumption in Turkey
Celik N., (Corresponding) Konyalioglu A.
Topic:
Environmental data analysis and modelling
Solid fuels are very crucial energy sources as most of industries use them for obtaining heat, electricity and light. Furthermore, since solid fuels are scarce sources in Turkey, it is very important to forecast the consumption in order to effectively manage the energy policies and to conduct an...Read more
Keywords:
Solid Fuels, Environmental Data Analysis, Machine Learning
Rule-based Quantification and Mapping of Ecosystem Services Across Three Spatial Scales by Example of Germany
Schlutow A., (Corresponding) Schröder W., Nickel S., Jenssen M.
Topic:
Environmental data analysis and modelling
The state of ecosystems influences their services for humans. Therefore, the European Union aims to assess and map ecosystem conditions and ecosystem services at the level of the Union and the Member States, in order to implement maintenance or protection measures, if necessary. This paper aims at...Read more
Keywords:
Ecosystem condition; ecosystem integrity; EU Biodiversity Strategy; Geographic Information System.
Capability of high resolution satellite images to characterize urban surfaces: spectra comparison and correlation with in field/lab measurements
(Corresponding) Despini F., Costanzini S., Parmeggiani D., Ferrari C., Teggi S., Muscio A., Silvestri M., Rabuffi F., (Corresponding) Musacchio M.
Topic:
Environmental data analysis and modelling
Environmental remote sensing is an increasingly useful tool for the study of large areas thanks to new sensors with high spatial resolution. These sensors could be able to identify and analyse several urban surfaces, like roofs and pavements. Thus they could be used to study urban areas for several...Read more
A Deep Learning Model, interpreted with an XAI technique, to simulate and optimize the remediation of oil-drilling cuttings in bubble flow reactors
Kalari K., Christodoulis K., Bali N., Theodoropoulou M., (Corresponding) Tsakiroglou C.
Topic:
Environmental data analysis and modelling
A multitask deep neural network (DNN) is developed to simulate the ozonation of oil-drilling cuttings (ODC) and is interpreted through a technique of explainable artificial intelligence (XAI) to provide knowledge about the experimental conditions that will maximize the decontamination of ODC. On a...Read more
Predicting Land Cover Map Changes in the Philippines for use in LULC-based Carbon Capture Monitoring using Deep Learning
Camaclang R., Ballesteros F., (Corresponding) Labao A.
Topic:
Environmental data analysis and modelling
In the area of Carbon Capture and Storage (CSS), monitoring plays an important role not only to determine if there is any anomalies in the release of CO2 in the atmosphere, but also to prepare for disasters and to plan better future developments in the industrial sector, transportation sector, real...Read more
Keywords:
Land Use and Land Cover (LULC), Land Cover Prediction, Carbon Capture and Storage, Deep Learning
Analysis of the Sars-COVID 19 trend: from time series to visibility graphs
(Corresponding) Simone A., Cesaro A., Esposito G.
Topic:
Environmental data analysis and modelling
Sars COVID-19 epidemic continues to represent a relevant and current topic, which is of concern mainly with respect to possible variants. Predictive monitoring can address the need to reduce the risk of spreading the virus, but it needs to rely on non-invasive, as well as effective and inexpensive...Read more
Keywords:
Sars-COVID19, time series analysis, visibility algorithms, graph theory, Wastewater-Based Epidemiology
