Inundation floodingmap aimedto find outearly warningsto avoidenvironmental damageandhumanin terms of theheight ofthe wave ofwater, speed time arrival, effects of inundation sideanddepth of the water/ distanceand reduce the impact of the flood wave after obtaining the process of collapse of the dam in the lower part of the river to the dam area. The study has been using a numerical model one-dimensional depends on the development of equations (Saint-Venant) so that parts of the river, any river channel main banks of the right and left treated as separate parts, that’s the difference in the characteristics of the hydraulic and engineering, along the line of the flow will take into account in each section of the sections and flow in the river valley. Throughapplied numerical model of the Nile River in the area between the Roseires dam and Khartoum is distance (630 km) south of Khartoum , to get a jest analysis of the impact of a wave of flooding in the river on the following parameters : the maximum discharge , the maximum of attributed, as underdevelopment of the discharge maximum , and the time defaults to the maximum level and the surface area on the banks of the river and its extension and different values of the coefficient of manning roughness to the banks of the river. Eight scenario have been prepared for the flood wave read to compare the effect amount of water flow in the channel resulting from the collapse of the dam was resulting of Roseires dam , eight scenario to represent the five and extract the resulting values of Inundation map to cities located on the downstream of the dam.Thefive scenarioswerecalculated by using (HEC-RAS 4.1.0), (HEC-GeoRAS)a GIS programs and the flood wave resulting from the collapse of the Roseires dam to compare the results showed that the scenario NO. 5 is the best scenario result from the collapse makes sense due to the form of the disposal of the flood wave resulting from the collapse of the Roseires dam and then get overtopping from Sennar dam to the inability of the reservoir and dam to stop the flood wave. The results also indicate that the time needed to reach the greatest discharge of the flood wave resulting from the collapse of the Roseires dam to the city of Khartoum is ( 4, 6, 7and 9 ) day on the cities ( Roseires , Sennar , Wad Medani and Khartoum ) respectively, of the cases . The maximum height of the flood wave reaching the city of Khartoum has given the scenario NO. 5 by height wave (3-50) meters respectively. As well as the delay in the arrival time of the maximum height of the flood wave to the city of Khartoum is one day for the five scenarios compared to the other. The Inundation map development resulting from the collapse of the Roseires dam and get the flow overtopping the Sennar dam, arrival to Khartoum, was determined the surface area of the affected river and both banks of the depth of the wave and latency along the river has been selected four major cities along the river which Roseires,Sennar, Wad Medani and Khartoum.
Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an object under de
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Permeability determination in Carbonate reservoir is a complex problem, due to their capability to be tight and heterogeneous, also core samples are usually only available for few wells therefore predicting permeability with low cost and reliable accuracy is an important issue, for this reason permeability predictive models become very desirable.
This paper will try to develop the permeability predictive model for one of Iraqi carbonate reservoir from core and well log data using the principle of Hydraulic Flow Units (HFUs). HFU is a function of Flow Zone Indicator (FZI) which is a good parameter to determine (HFUs).
Histogram analysis, probability analysis and Log-Log plot of Reservoir Qua
... Show MoreA model using the artificial neural networks and genetic algorithm technique is developed for obtaining optimum dimensions of the foundation length and protections of small hydraulic structures. The procedure involves optimizing an objective function comprising a weighted summation of the state variables. The decision variables considered in the optimization are the upstream and downstream cutoffs lengths and their angles of inclination, the foundation length, and the length of the downstream soil protection. These were obtained for a given maximum difference in head, depth of impervious layer and degree of anisotropy. The optimization carried out is subjected to constraints that ensure a safe structure aga
... Show MoreA second-order sliding mode control is used for high-order uncertain plants using equivalent control approach to improve the performance of control systems. They combine backstepping with quasi-continuous controller and twisting controllers. This paper considers a two of the most popular controllers that are used to solve the nonlinearities problem which are the backstepping quasi-continuous control (BQCC) and backstepping twisting controllers to control the angular velocity of a hydraulic motor to improve tracking performance and robustness to uncertainties. For the system dynamics, a linear state feedback with suitable high gain was designed as the virtual controller, where steady state error can be made arbitrarily small according to the
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The Adaptive Optics technique has been developed to obtain the correction of atmospheric seeing. The purpose of this study is to use the MATLAB program to investigate the performance of an AO system with the most recent AO simulation tools, Objected-Oriented Matlab Adaptive Optics (OOMAO). This was achieved by studying the variables that impact image quality correction, such as observation wavelength bands, atmospheric parameters, telescope parameters, deformable mirror parameters, wavefront sensor parameters, and noise parameters. The results presented a detailed analysis of the factors that influence the image correction process as well as the impact of the AO components on that process
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Adsorption of lead ions from wastewater by native agricultural waste, precisely tea waste. After the activation and carbonization of tea waste, there was a substantial improvement in surface area and other physical characteristics which include density, bulk density, and porosity. FTIR analysis indicates that the functional groups in tea waste adsorbent are aromatic and carboxylic. It can be concluded that the tea waste could be a good sorbent for the removal of Lead ions from wastewater. Different dosages of the adsorbents were used in the batch studies. A random series of experiments indicated a removal degree efficiency of lead reaching (95 %) at 5 ppm optimum concentration, with adsorbents R2 =97.75% for tea. Three mo
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