Conference proceedings

Displaying 1 - 10 of 37 in Environmental data analysis and modelling (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Analyzing 50 Years of Major Fog Events Across the Central Coastal Plain of Israel

David N., Rayitsfeld A., (Corresponding) Gao O.
Topic: 
Environmental data analysis and modelling
This work presents an analysis of 152 major fog events that have been occurring for five decades (1967-2017) across the central coastal plain of Israel. Analysis of the meteorological data shows that fog events in the experimental area predominantly occur under two sets of synoptic conditions – Red...Read more
Keywords: 
fog trends, visibility, advection, radiation
Conference: 
CEST2021
Paper ID: 
cest2021_00105

The potential of UAV multispectral imagery to estimate chlorophyll content of vine leaves

(Corresponding) Tepanosyan G., Muradyan V., Hovsepyan A., Ayvazyan G., Avetisyan R., Asmaryan S.
Topic: 
Environmental data analysis and modelling
As is known, chlorophyll is an important biophysical parameter used to monitor the overall physiological status of plants. The aim of this research was to study the potential of UAV multispectral images for estimating the contents of leaf chlorophyll in vineyards. For this purpose, a UAV flight was...Read more
Keywords: 
Vineyards, UAV, Chlorophyll content, PLSR, Remote Sensing
Conference: 
CEST2021
Paper ID: 
cest2021_00131

Reducing sewage sludge ash variability in the context of P-recovery by optimizing the storage management using Monte-Carlo simulations

Vogt S., Brück F., Schnabel K., (Corresponding) Weigand H.
Topic: 
Environmental data analysis and modelling
Phosphorus (P) is a critical raw material and the EU largely depends on P-imports to cover its demand. This is increasing efforts to recover P from secondary P-sources such as municipal sewage sludge ashes (SSA) from mono-incineration. Usage of SSA for mineral fertilizer production requires...Read more
Keywords: 
phosphorus, P-recovery, Monte-Carlo-simulation
Conference: 
CEST2021
Paper ID: 
cest2021_00136

Exploitation of Crowdsourcing Tools and Earth Observation data: A Systematic Literature Review

(Corresponding) Tsiakou D., Tsimiklis G., Tsiakos V., Karagiannopoulou K., Amditis A.
Topic: 
Environmental data analysis and modelling
Crowdsourcing is a method gaining ever wider use in practice and leverages human intelligence to solve problems in a considerable number of study fields. Howe (Howe 2006) coined the concept defining: “Crowdsourcing represents the act of a company or institution taking a function once performed by...Read more
Keywords: 
Remote Sensing, Earth Observation, Citizen Science, Crowdsourcing tools
Conference: 
CEST2021
Paper ID: 
cest2021_00182

Determining the phenological stages of Nestos-Delta (Alnus glutinosa) riparian forest (Natura 2000 site) by using radiation transmittance data

(Corresponding) Proutsos N., Karetsos G., Tsagari C.
Topic: 
Environmental data analysis and modelling
Trees’ phenology is a key factor for most forests’ physiological processes. The precise definition of the start-end dates and the duration of each phenological stage is critical. In the present study, radiation data were used from pyranometers installed at the Alnus glutinosa riparian forest of...Read more
Keywords: 
Forest micrometeorology, LIFE-PRIMED, solar radiation, light transmittance, deciduous forest
Conference: 
CEST2021
Paper ID: 
cest2021_00223

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

The expected dynamics of the wind conditions in the West Iberian nearshore, in the context of the climate change

(Corresponding) RUSU E.
Topic: 
Environmental data analysis and modelling
The target area of the present study is the western side of the Iberian coastal environment. Although not so high as in the North or the Baltic seas, the wind power potential can be considered significant in this nearshore. Furthermore, since this coastal environment is rich also in terms of other...Read more
Keywords: 
Iberian nearshore, wind power, maximum wind speed, near future, RCP4.5
Conference: 
CEST2021
Paper ID: 
cest2021_00323

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