Mathematical Mathematical Model of the Effect the Energy on (Y-W-D) Types of Fungi , with Exponential function

The phenomenon of dysplasia describes the mathematical model. The model that shows the behaviour of the growth of bilateral branching, lateral branching, filament tip anastomosis, limb anastomosis, and limb death due to overcrowd- ing with thread death. The study shows energy consumption; in general that the growth of fungi needs to be resolved until its goal becomes a correction. More- over the study reduced the cost, effort by predicting the best class of plants for cultivation according to the results. Herein we suggest mathematical solution using the solution of Partial Differential Equations (PDEs). Furthermore, Matlab software codes were utilized numerical analysis because of some of the difficulties we face in the direct mathematical solution. Finally, the study mod- els shows the success or failure of the growth of the studied fung

Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq

On-going monitoring of deformation of dams is critical to assure their safe and efficient operation. Traditional monitoring methods, based on in-situ sensors measurements on the dam, have some limitations in spatial coverage, observation frequency, and cost. This paper describes the potential use of Synthetic Aperture Radar (SAR) scenes from Sentinel-1A for characterizing deformations at the Mosul Dam (MD) in NW Iraq. Seventy-eight Single Look Complex (SLC) scenes in ascending geometry from the Sentinel-1A scenes, acquired from 03 October 2014 to 27 June 2019, and 96 points within the MD structure, were selected to determine the deformation rate using persistent scatterer interferometry (PSI). Maximum deformation velocity was found to be about 7.4 mm·yr−1 at a longitudinal subsidence area extending over a length of 222 m along the dam axis. The mean subsidence velocity in this area is about 6.27 mm·yr−1 and lies in the center of MD. Subsidence rate shows an inverse relationship with the reservoir water level. It also shows a strong correlation with grouting episodes. Variations in the deformation rate within the same year are most probably due to increased hydrostatic stress which was caused by water storage in the dam that resulted in an increase in solubility of gypsum beds, creating voids and localized collapses underneath the dam. PSI information derived from Sentinel-1A proved to be a good tool for monitoring dam deformation with good accuracy, yielding results that can be used in engineering applications and also risk management