Evaluate the Rate of Pollution in Soil using Simulink Environment

Tawfiq, L. N. M.; Hasan, Mohammed A.

doi:10.30526/32.1.1979

Cited by 7 publications

(4 citation statements)

References 1 publication

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“…The bacteriological analysis was done using MPN method with MacConky broth multiple tube method for determining the most probable number of coliforms according to APHA, 2012 [14].…”

Section: 4biological Testsmentioning

confidence: 99%

Assessment of the Quality of Drinking Water for Plants in the Al-Karkh, Baghdad, Iraq

Hasan¹,

Taleb²

2020

IHJPAS

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The study aims to assess some physical, chemical, and bacterial characteristics of two drinking water treatment plants of Al- Dora and Al-Qadisiya in the area of Karkh, Baghdad, Iraq. The areas covered by each plants and these sites of areas selected as the nearest and the farthest point from plants, for winter and summer season. Some physicochemical parameters of water quality were taken in this study and these parameters were temperature water, pH, electrical conductivity, total dissolved solids, free residual chlorine, calcium, magnesium, nitrate, nitrite, sulphate and heavy metals (lead). In addition to four bacterial indicators of drinking water pollution (APC, Total Coliform, Fecal Coliform and Salmonella spp.). The results showed within the permissible limits for Iraqi criteria and standards for drinking water.

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“…The bacteriological analysis was done using MPN method with MacConky broth multiple tube method for determining the most probable number of coliforms according to APHA, 2012 [14].…”

Section: 4biological Testsmentioning

confidence: 99%

Assessment of the Quality of Drinking Water for Plants in the Al-Karkh, Baghdad, Iraq

Hasan¹,

Taleb²

2020

IHJPAS

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“…One disadvantage of such methods is that, necessary to discrete the domain as meshes so increase the size of the table significantly therefore memory required [21,22]. Neural networks (ANNs) provide an optimal representation technique for adaptive USSPDE solutions since they are adjust parameters that can be modified by using suitable training algorithm [23,24] and because of their ability to approximate well any nonlinear functions on compact space. So, ANNs give solutions are characterized by other advantages over solutions getting by FEM and FDM.…”

Section: Introductionmentioning

confidence: 99%

Design Optimal Neural Network for Solving Unsteady State Confined Aquifer Problem

Ali¹,

Tawfiq²

2023

MMEP

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This article presents the mathematical model of unsteady state horizontal radial flow in homogenous and anisotropic confined aquifers in polar coordinate which represented an important problem. We design optimal neural network to solve this problem. Also, we estimate the parameters of transmissivity aquifer with high accuracy. The optimality depending on choosing optimum architectural with suitable training algorithm and transfer function. The best design neural network is trained by new training algorithm say LNA. The retrained almost fast by suitable transferring function. Based on the modified architecture, the training and testing phases of the solving process are divided into two. The dataset is separated into three sections during the training phase: 60% of the training data, 20% of the validation data, and 20% of the test data. The total square error (TSE) for the trained phase with using the bach propagation algorithm (BPA) is 4.1499e+01 while it is 9.5898e-03 if we using suggested training algorithm (LNA). The LNA has a much smaller TSE when compared to the BPA. These much smaller values of the TSE indicate that LNA performs better than the BPA for the same number of iterations. So suggested architecture has many advantages such loss function computed on a random sample of the domain, high performance, avoid local minima and can be adapted for the online dynamic modeling, automation, control and robotics applications.

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“…On the other hand, modeling of physical phenomena emerged as partial non-linear differential equations an important tool in a large category and is widely used in various fields of natural nonlinear sciences, while the behavior and characteristics of non-linear PD equations are determined by the exact solution which is difficult to find in most, many researchers are interested in studying and solving these equations because of their different applications. For example but not limited to, [1], [2] , [3], [4]. The KdV equation is a model for describing weak non-linear long waves in many branches of physics and engineering.…”

Section: Introductionmentioning

confidence: 99%

The New Combination of Semi-Analytical Iterative Method and Elzaki Transform for Solving Some Korteweg-de Vries Equations

Salah¹

2020

QJPS

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The purpose of this research applied a method that includes the combination of an iterative method (Temimi and Ansari method (TAM)) and a new transform called the Elzaki transform (ET )for some Korteweg-de Vries (Kdv) equations. The TAM was present as a basic tool for solving Kdv equations with Elzaki transformation in the associated nonlinear equations because the Elzaki transformation cannot deal with nonlinear terms. It has been proven that the use of this method can be more reliable, accurate and fast if it has been using analytical methods alone.

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Evaluate the Rate of Pollution in Soil using Simulink Environment

Cited by 7 publications

References 1 publication

Assessment of the Quality of Drinking Water for Plants in the Al-Karkh, Baghdad, Iraq

Assessment of the Quality of Drinking Water for Plants in the Al-Karkh, Baghdad, Iraq

Design Optimal Neural Network for Solving Unsteady State Confined Aquifer Problem

The New Combination of Semi-Analytical Iterative Method and Elzaki Transform for Solving Some Korteweg-de Vries Equations

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