Land use changes and its impacts on water resources in Nile Delta region using remote sensing techniques

Sustainable water resources management plans depend on reliable monitoring of land use –land cover (LULC) changes. The use of the remote sensing techniques in LULC changes detection brings consistency and reliability to the decision maker at regional scale. Three temporal data sets of images were used to obtain the land cover changes in this study: Landsat-5 Thematic Mapper (TM) acquired in 1984, and Landsat-7 enhanced Thematic Mapper acquired in 2000 and 2005 consequently. Each temporal data set consists of four Landsat scenes, which were mosaicked to cover the whole Nile Delta. Two different supervised classification algorithms were implemented to produce classification maps in thematic form. Support vector machine showed higher classification accuracies in comparison with maximum likelihood classification. The results indicated that the rapid imbalance changes occurred among three land cover classes (urban, desert, and agricultural land). These changes powered the land degradation and land fragmentation processes over the agricultural land exclusively due to urban encroachment. Slight land cover changes were detected between fish farms and surface water land cover classes.     

Laboratory Experiments and Estimation of Cumulative Infiltration and Sorptivity

Soil water cumulative infiltration affects the environment by controlling the irrigation rate and consequently the water and pollutants movement through the ground. In order to study the cumulative infiltration in a sandy soil sample, experiments were performed in the laboratory. The sample was placed uniformly in a transparent column with an inner diameter of 6 cm. A constant head boundary condition of a 2 mm height was applied on the surface of the sample and the cumulative volume of the incoming water was measured. Soil moisture at four locations of the column was measured, by using the TDR method in order to obtain the moisture profiles. By comparing the values of the infiltrated water volumes with those calculated by the integration of the moisture profiles, a good agreement was found out. Also the Parlange theoretical model fitted very well with the infiltration experimental points.