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Volume 34, ECAS-7
 
 

Environ. Earth Sci. Proc., 2025, COMECAP 2025

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Number of Papers: 3
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6 pages, 1256 KB  
Proceeding Paper
Heatwave-Related Mortality Prediction Using Machine Learning: Integrating Historical and Future Climate Data
by Ilias Petrou and Pavlos Kassomenos
Environ. Earth Sci. Proc. 2025, 35(1), 1; https://doi.org/10.3390/eesp2025035001 (registering DOI) - 8 Sep 2025
Abstract
Heatwaves are among the deadliest climate-related hazards, with their intensity and frequency projected to rise. This study develops a machine learning model to predict heatwave-related mortality in Greece under RCP4.5 and RCP8.5 scenarios. Historical mortality and climate data (2015–2024) were combined with future [...] Read more.
Heatwaves are among the deadliest climate-related hazards, with their intensity and frequency projected to rise. This study develops a machine learning model to predict heatwave-related mortality in Greece under RCP4.5 and RCP8.5 scenarios. Historical mortality and climate data (2015–2024) were combined with future projections (2025–2050) from CORDEX models. Feature engineering included lagged heatwave indicators, seasonal effects, and age group interactions. An optimized XGBoost model revealed increasing mortality trends, especially under RCP8.5 after 2039. These findings highlight the growing public health threat posed by extreme heat and offer a predictive framework for climate adaptation and policy planning. Full article
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7 pages, 1589 KB  
Proceeding Paper
Modeling Smoke Emissions and Transport for Wildfire Using Satellite Observations and Lagrangian Dispersion Modeling
by Thanasis Kourantos, Anna Kampouri, Anna Gialitaki, Maria Tsichla, Eleni Marinou, Vassilis Amiridis and Ioannis Kioutsioukis
Environ. Earth Sci. Proc. 2025, 35(1), 2; https://doi.org/10.3390/eesp2025035002 - 8 Sep 2025
Abstract
A significant wildfire event occurred in Korinthos, Greece, on 22 July 2020, releasing large amounts of smoke into the atmosphere. This episode provided the opportunity to develop and apply the methodology described in this work, where the synergistic use of ground data, satellite [...] Read more.
A significant wildfire event occurred in Korinthos, Greece, on 22 July 2020, releasing large amounts of smoke into the atmosphere. This episode provided the opportunity to develop and apply the methodology described in this work, where the synergistic use of ground data, satellite remote sensing data and dispersion modeling is utilized to demonstrate highly accurate source detection, emission transport, and dispersion of the smoke plumes. The Fire Radiative Power (FRP) data from SEVIRI, on board Meteosat Second Generation, are used to estimate hourly fire top-down emissions. These emissions are used as input for the FLEXPART Lagrangian particle dispersion model, driven by GFS meteorological data. Simulated smoke transport is compared with TROPOMI satellite CO observations and lidar profiles from the PANhellenic GEophysical observatory of Antikythera (PANGEA) station. The model includes key atmospheric processes such as advection and deposition, providing a framework for assessing wildfire impacts on air quality and transport. The results highlight the effectiveness of combining high temporal resolution FRP data with the WARM START configuration of FLEXPART versus the Standard FLEXPART Simulation. Full article
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6 pages, 1077 KB  
Proceeding Paper
Advancing Effective Climate Change Education by Using Remote Sensing Technologies: Leveraging the Research Infrastructure of the LAP/AUTh in Greece
by Konstantinos Michailidis, Katerina Garane, Chrysanthi Topaloglou and Dimitris Balis
Environ. Earth Sci. Proc. 2025, 35(1), 3; https://doi.org/10.3390/eesp2025035003 - 8 Sep 2025
Abstract
Raising awareness and understanding of climate change among younger generations is crucial for building a sustainable future. The Laboratory of Atmospheric Physics (LAP) within the School of Physics of the Aristotle University of Thessaloniki (AUTh) supports this goal by developing innovative educational activities [...] Read more.
Raising awareness and understanding of climate change among younger generations is crucial for building a sustainable future. The Laboratory of Atmospheric Physics (LAP) within the School of Physics of the Aristotle University of Thessaloniki (AUTh) supports this goal by developing innovative educational activities centered on atmospheric processes and climate science. Drawing on its expertise in atmospheric monitoring and remote sensing, LAP makes complex scientific concepts accessible to school students through interactive workshops, hands-on experiments, and data-driven projects using real-time environmental measurements. By integrating research-grade tools and open-access satellite data from ESA, NASA, and EUMETSAT, LAP bridges academic research and public understanding. These activities foster critical thinking, environmental responsibility, and student engagement with real-world climate monitoring practices. Moreover, LAP contributes to the ACTRIS network, offering high-quality data and expertise at both national and European levels. Through these efforts, LAP serves as a hub for climate education, turning awareness into action and inspiring future climate-conscious citizens. Full article
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