The Effect of Tidal Energies on the Materials Properties of the Soil at Southern Mesopotamia

Abstract

The materials of soil were affected by multi reasons; such as human activities, floods, tidal waves, ... etc. The change of the soil contents could be measured through different indexes; such as electric conductivities, salinity, concentration of the heavy elements, and concentration of essential elements ... etc. The land cover is affected by natural influences, like tidal energy, which plays a negative role in the salinization of land adjacent to the coasts, causing a problem for soils in all its details represented in changing of the dissolved elements in soil. One of the most important natural factors that cause soil salinity is human activity in all its forms, and one of the most important causes of salinity is the phenomenon of tides in the Arabian Gulf. Due to the lack of water imports for this governorate, the study area is located in the far south of Mesopotamia, specifically in the Basra governorate, represented by Al-Faw district and part of Abu Al-Khasib district, which is distinguished by its location in the region of Tails of the Rivers. To find the values of total dissolved salts and electrical conductivity for the year 2020 for the rainy season (field work outputs), where the values of total dissolved salts reached (7380-13380) mg / L . The electrical conductivity values reached (1217-2230) μS / cm for (11) soil samples randomly distributed over the study area, where the values of these samples were distributed on the sites within the cut map of the study area using (QGIS) program. (ENVI) program to calculate the salinity index values for the year 2020, then a regression method was used to correlate each of the spectral values of salinity with the values obtained in the field. Where it was found that the best equation for calculating salinity values is polynomial of the first degree because it links the field and spectral values with a linear relationship, and this process was completed using Matlab program to find salinity, for the 2010 dry season.