Unit:
Department of PhysicsLibrary of the School of Science
Author:
Kouremadas Georgios
Dissertation committee:
Δρ. Κ. Βαρώτσος, Καθηγητής, Τμήμα Φυσικής, ΕΚΠΑ
Δρ. Ν. Σαρλής, Καθηγητής, Τμήμα Φυσικής ΕΚΠΑ
Δρ. Ε. Σκορδάς, Αν. Καθηγητής, Τμήμα Φυσικής, ΕΚΠΑ
Δρ. Ε. Φλόκα, Καθηγήτρια, Τμήμα Φυσικής, ΕΚΠΑ
Δρ. Σ. Σοφιανός, Αν. Καθηγητής, Τμήμα Φυσικής, ΕΚΠΑ
Δρ. Χ. Τζάνης, Επ. Καθηγητής , Τμήμα Φυσικής, ΕΚΠΑ
Δρ. Α. Παπαθανασίου, Επ. Καθηγητής, Τμήμα Φυσικής, ΕΚΠΑ
Original Title:
Επιπτώσεις της κλιματικής αλλαγής και της ατμοσφαιρικής ρύπανσης στα υλικά
Translated title:
Impacts of climate change and air pollution on materials
Summary:
This thesis aimed to study the deterioration of materials which exposed to the atmospheric environment due to atmospheric pollution and climatic parameters. The main object was the development of new functions which, by introducing satellite pollution data and climate parameters, will be able to perform a quantitative assessment of the deterioration that a material undergoes when it is exposed to the atmospheric environment for a year. For this purpose data from international exposures campaigns of structural materials were obtained and studied. These materials are used as structural materials in modern constructions, and monuments of cultural heritage. This fact lends special interest to the results obtained due to the important ancient monuments included in the Greek territory.
The development of these new functions, which are called Satellite Sensed Dose Response Functions (SSD-DRFs), was carried out with a statistical approach and not a mechanistic one due to the complexity of the process of deterioration of materials in the atmospheric environment. In this context, the correlation presented by the atmospheric concentrations of the main pollutants and the climatic parameters (surface air temperature and relative humidity) with the actual wear values as recorded after the analysis of the experimental results was studied.
The results of the correlations were used as a criterion for the selection of the appropriate parameters on which the development of the SSD-DRFs was based. Machine learning algorithms using the Python language were used for their development. Due to the non-linear nature and complexity of such phenomena in terms of applying mathematical tools it was chosen to be linearised. This approach led to results that are of particular interest to the international scientific community.
Main subject category:
Science
Keywords:
climate change, deterioration, air pollution, cultural heritage monuments, ancient Monuments
Number of references:
138
File:
File access is restricted until 2025-06-11.
Thesis - Kouremadas Georgios.pdf
11 MB
File access is restricted until 2025-06-11.
