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Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/EE3382B3-8B86-4C98-96E3-30D838459982 | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Ilias Ovardas, "Groundwater Simulation in the area of Tympaki Crete under climate change – Study of different climate senarios", Diploma Work, School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.102311 | ||
| Appears in Collections |
The objective of this thesis is to study the groundwater aquifer in the Tympaki region of Crete using the Princeton Transport Code (PTC) groundwater flow model, under the influence of climatic and anthropogenic factors. The modeling will be conducted for the next 45 years, and the behavior of the hydraulic head will be examined.Tympaki is a coastal area in southern Crete, in the Heraklion regional unit, characterized by extensive agricultural lands and tourism facilities, making water a particularly valuable resource for the region.Before using the PTC model, data were collected on the locations and pumping rates of wells. Previous studies and maps were also utilized to determine the area's geomorphology, followed by appropriate data processing in the ArcMap GIS environment. Additionally, meteorological rainfall data for the area were gathered from various models to facilitate comparison and the selection of the most suitable datasets for this study.Before analyzing the data processing methodology and results, the necessary theoretical background will be provided to aid in understanding key concepts of hydrology and groundwater mechanics, as well as the role of climate change in human activities and groundwater resources. Furthermore, Matlab scripts were used for data processing, which will be explained and analyzed in the following chapters.Finally, the results are presented in the form of graphical representations for the groundwater observation points defined in this study, in relation to the study period. The analysis of these results will follow, in correlation with climate change.
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