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Journals / Yenilikçi Mühendislik ve Doğa Bilimleri / 2021 / Volume: 1 Issue: 1

Modeling water quality parameters in the surface waters of Samanlı and Safran Rivers, Turkey

Ferdi Ozan(YALOVA ÜNİVERSİTESİ)0000-0001-7958-1079
Nergiz Kanmaz(YALOVA ÜNİVERSİTESİ)0000-0002-5598-4911
Osman Koçal(YALOVA ÜNİVERSİTESİ)0000-0002-9232-8999
Fehime Jülide Hızal Yücesoy(YALOVA ÜNİVERSİTESİ)0000-0002-5921-0155
Pages
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Publication Date
2021-07-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Additionally, it was determined that the models work well especially for the samples collected from fresh water.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the water quality of the Samanlı and Safran Rivers, passing through Yalova Province, were examined in terms of physicochemical parameters, alkalinity and content of inorganic nutrients (nitrate, nitrite, phosphate).
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Key Findings & Data:As a result, it was determined that the linear models predicted the value of parameters for next 8 months.
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Conclusion & Impact:Additionally, it was determined that the models work well especially for the samples collected from fresh water.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Surface water · Water pollution · Physicochemical properties

Abstract

In this study, the water quality of the Samanlı and Safran Rivers, passing through Yalova Province, were examined in terms of physicochemical parameters, alkalinity and content of inorganic nutrients (nitrate, nitrite, phosphate). The sampling from five station located on the Samanlı and Safran Rivers was performed for fiftythree weeks. Linear and nonlinear Models were applied by the aid of Matlab, Microsoft Excel programs and Multiple Linear Regression Model. The predictions were performed for the samples collected from other points beyond the rivers, and it was shown that the model predicts well the parameters with low error. As a result, it was determined that the linear models predicted the value of parameters for next 8 months. Nonlinear models predict well at least eight months values. Additionally, it was determined that the models work well especially for the samples collected from fresh water.

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Cite This Article

Ozan, F., Kanmaz, N., Koçal, O., Yücesoy, F. J. H. (2021). Modeling water quality parameters in the surface waters of Samanlı and Safran Rivers, Turkey. Yenilikçi Mühendislik ve Doğa Bilimleri, Volume: 1 Issue: 1. https://doi.org/10.29228/JIENS.52018

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