Conference proceedings

Displaying 1 - 4 of 4 in Environmental data analysis and modelling (remove filter), field (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Assessment of thermal indices applicability in Cyprus

Pantavou K., Giallouros G., Lykoudis S., (Corresponding) Nikolopoulos G.
Topic: 
Environmental data analysis and modelling
Thermal indices are commonly used to assess outdoor thermal environments. This study aims to examine the applicability of popular thermal indices for the assessment of thermal sensation in Cyprus. Field surveys were conducted in outdoor public sites in five districts of the Republic of Cyprus. The...Read more
Keywords: 
thermal index, thermal sensation, index evaluation, field survey, Mediterranean climate
Conference: 
CEST2021
Paper ID: 
cest2021_00249

Pedestrian preferences of urban design features in city squares of Athens, Greece

(Corresponding) Pantavou K., Koletsis I., Lykoudis S., Tsiros I.
Topic: 
Environmental data analysis and modelling
Public open spaces improve the quality of life in cities and form places for community gatherings and outdoor activities. This study examines the preference of pedestrians for the design features of urban squares. Field surveys on the perception of environmental stimuli were conducted in five...Read more
Keywords: 
urban design, design preference, field surveys, pedestrian
Conference: 
CEST2021
Paper ID: 
cest2021_00254

Validation of ENVI-met microscale model with in-situ measurements in warm thermal conditions across Athens area

Koletsis I., Tseliou A., Lykoudis S., Tsiros I., Lagouvardos K., Psiloglou B., Founda D., (Corresponding) Pantavou K.
Topic: 
Environmental data analysis and modelling
Validation is critical for quantifying accuracy, errors and limitations of models’ results. This study examines the ability of ENVI-met model to simulate thermal conditions in high spatial resolution. Field measurements from 11 central sites (squares and parks) across the greater area of Athens,...Read more
Keywords: 
ENVI-met; thermal indices; field surveys; micrometeorological measurements; summer
Conference: 
CEST2021
Paper ID: 
cest2021_00261

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
Conference: 
CEST2021
Paper ID: 
cest2021_00347