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# Modeling and optimization of pumping wells in the extended area of the Kourtalioti hydrogeological basin

#### Bourazani Konstantina

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 URI: http://purl.tuc.gr/dl/dias/B21E534E-BF06-4A45-AA0B-11619F6E2289 Year 2021 Type of Item Diploma Work License Bibliographic Citation Konstantina Bourazani, "Modeling and optimization of pumping wells in the extended area of the Kourtalioti hydrogeological basin", Diploma Work, School of Chemical and Environmental Engineering, Technical University of Crete, Chania, Greece, 2021 https://doi.org/10.26233/heallink.tuc.90373 Appears in Collections Diploma Works in Community School of Chemical and Environmental Engineering

## Summary

The present dissertation is completed in the framework of the undergraduate studies program in the department of Chemical and Environmental Engineering of the Technical University of Crete and aims to limit the phenomenon of salinization in the wider area of the Kourtalioti hydrogeological basin by optimizing pumping rates of wells in the area.First, some general information about groundwater and the pressures it has received over the last twenty years is presented and the salinization phenomenon is described with reference to the basic mathematical equations that govern it. Then, the characteristics of the study area are analyzed using environmental, hydrogeological and climatic data.Afterwards, groundwater simulation models are introduced, their mathematical background is analyzed and their main categories are presented. One of these simulation models is the PTC model that is used in the present work as a Plug-In Extension of the ArgusOne program. The simulation process begins with the collection and digitization of geographical and hydrogeological data and its time period is set at 10 years.For the implementation of the optimization process, the Simplex method was used through the Matlab program in which the pumping rate is disturbed in ten pumping wells of the area so that the hydraulic height in nine hypothetical observation wells does not exceed a maximum limit. In order to apply the method, the constraints of the problem must be identified and the response table A and the vector b are constructed. The process is repeated until the results converge.After six iterations, the algorithm appeared to converge with the salinization band receding and at the same time various conclusions were drawn about the results of the Simplex method.