water resources Optimal design of sewage networks for Al-Jaffryah Quarter and Al-Kut Trade Center using genetic algorithms and spectral analysis of the river to know the effect of network waste.

Authors

  • marwa kareem civil engineering department/wasit university
  • Mohammed S. Shamkhi Civil Engineering Department, University of Technology, Baghdad, Iraq

DOI:

https://doi.org/10.31185/ejuow.Vol10.Iss2.307

Keywords:

Optimal design, image classification, supervised classification, ArcGIS

Abstract

The essential objective of this study is the development of an appropriate model to obtain the low cost optimization design of the sewage network. The complexity and the huge number of discrete and non-linear constraints in problems of sewage system design make their treatment important. For this aim, an adaptive model of the Genetic Algorithm (GA) of efficient and effective optimization design with a consistent layout is proposed. The MATLAB code was used to optimize the sewage network for the Al Jafriya neighborhood and Al Kut commercial center. Spectral analysis of the Tigris River was also carried out for the area of the estuaries of the studied network to find out the extent of pollution due to the network being a joint network (rain and sewage). According to the obtained results, the developed model achieved the optimum  solution with the minimum cost and least generations number. It can be also noticed that the estuaries of the studied storm system have a significant influence on the quality of the river water. Thus, this research proposes the implementation and management of an isolated sewage system that is routed to wastewater treatment plants.

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Published

2022-07-07

Issue

Section

Civil Engineering

How to Cite

kareem, marwa, & Shamkhi, M. S. (2022). water resources Optimal design of sewage networks for Al-Jaffryah Quarter and Al-Kut Trade Center using genetic algorithms and spectral analysis of the river to know the effect of network waste. Wasit Journal of Engineering Sciences, 10(2), 119-130. https://doi.org/10.31185/ejuow.Vol10.Iss2.307