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Statistical and geostatistical analysis of rainfall at the island of Crete

Mizi Marina

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Year 2017
Type of Item Diploma Work
Bibliographic Citation Marina Mizi, "Statistical and geostatistical analysis of rainfall at the island of Crete", Diploma Work, School of Environmental Engineering, Technical University of Crete, Chania, Greece, 2017
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This diploma thesis deals with the statistical and geostatistical analysis of rainfall and groundwater level at the island of Crete. Their study is an important and useful tool for many scientific disciplines. The conclusions on qualitative and quantitative assessments, the identification of areas affected by overexploitation, the potential periodicity of rainfall trends and the rainfall distribution maps are some of the most useful information offered by this diploma thesis. The application of the statistical and geostatistical analysis was based on observation data of eighty two rainfall stations, which are scattered across the four prefectures of Crete and the measurements refer to the period 2007-2016.The statistical analysis was based on the construction of diagrams for each hydrological year as well as for the respective wet and dry period of these years. In addition, we studied the average of all rainfall for all years as well as the average wet and dry season total. Besides the construction of diagrams for rainfall, the underground aquifers of Crete were also studied. Data from 312 wells for the years 2007-2014, were used to perform a descriptive statistical analysis.One of the main goals of this work is to create the spatial distribution of the rainfall as well as of groundwater level using the appropriate methods. The methods used for this purpose is the most well known geostatistical methods called Kriging. In particular, the Geostatistical Analyst tool of the ARCGIS software was used, which examined two methods for spatial estimation: the first is the Ordinary Kriging method and the second is the Cokriging method. For the implementation of each method, four semimarograms were applied, while the best one was selected in terms of the highest accuracy (smaller error) to produce the corresponding rain or groundwater level map.

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