Water quality mathematical modelling for drainage water in rural communities

The research's main objective is to study water quality management techniques using different scenarios by applying three mathematical models. The study focuses on the Rosetta Branch-River Nile, which is considered the supreme contaminated Branch of river Nile. The study is composed of three ma...

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Autor principal: El Gohary Rasha
Formato: article
Lenguaje:EN
Publicado: Institut za istrazivanja i projektovanja u privredi 2021
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Acceso en línea:https://doaj.org/article/c8e22bb8b1674a6c9100b0ff98ef0b3f
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spelling oai:doaj.org-article:c8e22bb8b1674a6c9100b0ff98ef0b3f2021-12-05T21:23:13ZWater quality mathematical modelling for drainage water in rural communities1451-41171821-319710.5937/jaes0-29770https://doaj.org/article/c8e22bb8b1674a6c9100b0ff98ef0b3f2021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-4117/2021/1451-41172103712E.pdfhttps://doaj.org/toc/1451-4117https://doaj.org/toc/1821-3197The research's main objective is to study water quality management techniques using different scenarios by applying three mathematical models. The study focuses on the Rosetta Branch-River Nile, which is considered the supreme contaminated Branch of river Nile. The study is composed of three main parts. First: Water quality modeling using WASP 6 was adopted to simulate the water quality status. This model was calibrated and used to simulate different scenarios presenting an alternative solution for the water quality problem in Rosetta Branch. They also optimized water quality indicators using the genetic algorithm to determine the optimum techniques essential to eliminating the Rosetta branch's water quality problem. Second: Mathematical Modeling Using the SOBEK model, measure the environmental effect of wastewater discharges on the water quality of the Rosetta branch, taking into account seasonal variations. Third: statistical analyses to research the association between discharge and concentration of ammonia using simple regression equations. The study is focused on theoretical and applied scientific Methodology. It concluded that increased discharge in the Branch does not significantly affect water quality in the Branch. However, the treatment processes appear to have a large and significant impact on the water quality instead of increasing discharge solution. There is an inverse relationship between the discharge in Rosetta Branch and ammonia concentrations. All relationships have a correlation coefficient of, on average of about 0.7. The paramount water quality challenging in the Branch is cumulative of ammonia and Biological Oxygen Demand (BOD) overhead guidelines. Moreover, improving water quality for point source effluents, particularly at El Rahawy drain, improves the Rosetta branch's water quality.El Gohary RashaInstitut za istrazivanja i projektovanja u privrediarticlemathematical modellingwater qualitywater managementdrainage waterwasp6optimization valuesobekmathematical regressionTechnologyTEngineering (General). Civil engineering (General)TA1-2040ENIstrazivanja i projektovanja za privredu, Vol 19, Iss 3, Pp 712-730 (2021)
institution DOAJ
collection DOAJ
language EN
topic mathematical modelling
water quality
water management
drainage water
wasp6
optimization value
sobek
mathematical regression
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle mathematical modelling
water quality
water management
drainage water
wasp6
optimization value
sobek
mathematical regression
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
El Gohary Rasha
Water quality mathematical modelling for drainage water in rural communities
description The research's main objective is to study water quality management techniques using different scenarios by applying three mathematical models. The study focuses on the Rosetta Branch-River Nile, which is considered the supreme contaminated Branch of river Nile. The study is composed of three main parts. First: Water quality modeling using WASP 6 was adopted to simulate the water quality status. This model was calibrated and used to simulate different scenarios presenting an alternative solution for the water quality problem in Rosetta Branch. They also optimized water quality indicators using the genetic algorithm to determine the optimum techniques essential to eliminating the Rosetta branch's water quality problem. Second: Mathematical Modeling Using the SOBEK model, measure the environmental effect of wastewater discharges on the water quality of the Rosetta branch, taking into account seasonal variations. Third: statistical analyses to research the association between discharge and concentration of ammonia using simple regression equations. The study is focused on theoretical and applied scientific Methodology. It concluded that increased discharge in the Branch does not significantly affect water quality in the Branch. However, the treatment processes appear to have a large and significant impact on the water quality instead of increasing discharge solution. There is an inverse relationship between the discharge in Rosetta Branch and ammonia concentrations. All relationships have a correlation coefficient of, on average of about 0.7. The paramount water quality challenging in the Branch is cumulative of ammonia and Biological Oxygen Demand (BOD) overhead guidelines. Moreover, improving water quality for point source effluents, particularly at El Rahawy drain, improves the Rosetta branch's water quality.
format article
author El Gohary Rasha
author_facet El Gohary Rasha
author_sort El Gohary Rasha
title Water quality mathematical modelling for drainage water in rural communities
title_short Water quality mathematical modelling for drainage water in rural communities
title_full Water quality mathematical modelling for drainage water in rural communities
title_fullStr Water quality mathematical modelling for drainage water in rural communities
title_full_unstemmed Water quality mathematical modelling for drainage water in rural communities
title_sort water quality mathematical modelling for drainage water in rural communities
publisher Institut za istrazivanja i projektovanja u privredi
publishDate 2021
url https://doaj.org/article/c8e22bb8b1674a6c9100b0ff98ef0b3f
work_keys_str_mv AT elgoharyrasha waterqualitymathematicalmodellingfordrainagewaterinruralcommunities
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