Conference proceedings

Displaying 11 - 20 of 37 in Environmental data analysis and modelling (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Is Greece greener than the data shows? Calculation of Green GDP and comparison with neighboring countries

(Corresponding) Stjepanović S., Škare M., Tomić D.
Topic: 
Environmental data analysis and modelling
Is Greece greener than the current economic indicators show? GDP is used as the leading economic indicator of economic growth and progress. GDP as a measure, among other things, lacks an environmental component. In this paper, we have developed a Green GDP for Greece and neighboring countries and...Read more
Keywords: 
Green GDP, cost of pollution, CO2 emissions, Greece.
Conference: 
CEST2021
Paper ID: 
cest2021_00393

A data-driven approach to predict phytoplankton blooms using satellite-derived water quality and hydrometeorological drivers

(Corresponding) Kandris K., Romas E., Tzimas A., Bresciani M., Giardino C., Bauer P., Pechlivanidis I., Dessena M.
Topic: 
Environmental data analysis and modelling
The present work leverages simulated hydrometeorological factors and satellite-derived chlorophyll-a to predict phytoplankton dynamics for Mulargia reservoir (Sardinia, Italy). A Random Forest (RF) model was (a) calibrated to minimize out-of-bag errors of chlorophyll-a predictions for a 5-year-long...Read more
Keywords: 
Machine learning; forecasting; phytoplankton blooms; remote sensing; hydrometeorological predictions
Conference: 
CEST2021
Paper ID: 
cest2021_00420

Penetration of tritium into ground water in the Czech Republic

(Corresponding) Juranová E., Sedlářová B., Marešová D., Pohlová I.
Topic: 
Environmental data analysis and modelling
Tritium (3H), the radioactive hydrogen, can form naturally by interaction of the cosmic radiation with the atmosphere, or it can be produced by human activities. In recent, tritium occurs distributed in environment in low concentrations, which means no significant health risk, but it can be used...Read more
Keywords: 
Tritium, Radioactivity, Ground Water, Precipitation, Infiltration
Conference: 
CEST2021
Paper ID: 
cest2021_00429

A model-based study on the impact of different tree configurations on the thermal conditions of an urban square

Tseliou A., Koletsis I., Thoma E., Proutsos N., Lykoudis S., (Corresponding) Pantavou K., Tsiros I.
Topic: 
Environmental data analysis and modelling
The number of studies on mitigation and adaptation strategies aiming at the improvement of the urban microclimate increased remarkably during the last decades. Most studies are focusing on the impact of various design layouts, on thermal environment and pedestrians’ thermal sensation. The present...Read more
Keywords: 
ENVI-met; thermal sensation; microclimatic conditions; leaf area density; summer
Conference: 
CEST2021
Paper ID: 
cest2021_00469

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
Keywords: 
Noise pollution, Equivalent noise level, Prediction model, Regression, Artificial Neural Network.
Conference: 
CEST2021
Paper ID: 
cest2021_00482

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
Conference: 
CEST2021
Paper ID: 
cest2021_00485

Climatology of the impact of atmospheric circulation on surface meteorological conditions over Greece

(Corresponding) Philippopoulos K., Tzanis C., Deligiorgi D., Alimissis A.
Topic: 
Environmental data analysis and modelling
Large-scale atmospheric circulation is a critical factor that controls the surface climatic conditions of a specific region. The scope of this work is to examine this relationship for different climatic regions over Greece and provide a detailed descriptive statistical analysis for multiple...Read more
Keywords: 
Atmospheric circulation, climate, temperature, precipitation
Conference: 
CEST2021
Paper ID: 
cest2021_00486

Understanding the EU ETS Market Structure Using Transactions of Core Participants

(Corresponding) Dimos S., Evangelatou E., Fotakis D., Mantis A., Mathioudaki A.
Topic: 
Environmental data analysis and modelling
European Union Emission Trading System (EU ETS) is a key instrument of EU’s climate policy and the largest international cap-and-trade system. Every allowance transaction is recorded in an electronic registry, called European Union Transaction Log (EUTL). Utilizing the vast amount of EUTL data, we...Read more
Keywords: 
Emission Trading System, cap-and-trade, ETS transaction network, core-periphery structure, forecasting
Conference: 
CEST2021
Paper ID: 
cest2021_00522

Dual Discounting for the Environmental Decision-Making

(Corresponding) Maselli G., Nesticò A.
Topic: 
Environmental data analysis and modelling
Nowadays, making sustainable decisions is one of the main priorities of government policies. Therefore, it is increasingly urgent to define investment decision support tools that ensure a long-term balance between environmental integrity, intergenerational equality, and economic efficiency. This...Read more
Keywords: 
Environmental Decision-Making, Economic evaluation of Projects, Social Discounting.
Conference: 
CEST2021
Paper ID: 
cest2021_00523

DYNAMIC AND EMBEDDED MULTICRITERIA ASSESSMENT METHODOLOGY FOR THE ENVIRONMENTAL MONITORING AND CONTROL OF LARGE CIVIL ENGINEERING PROJECTS

Zarra T., (Corresponding) Oliva G., Senatore V., Marino V., Belgiorno V., Naddeo V.
Topic: 
Environmental data analysis and modelling
The research present a novel dynamic and embedded multi criteria methodology for the environmental monitoring and control of large-scale civil engineering works subjected to environmental impact assessment procedure. The principal phases are discussed and highlighted, along with the identification...Read more
Keywords: 
environmental monitoring, port, mitigation actions, civil works, real-time data
Conference: 
CEST2021
Paper ID: 
cest2021_00580