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Journals / Tarım Bilimleri Dergisi / 2026 / Volume: 05 Issue: 01

Prediction of Chlorophyll a in Kurtboğazı and Çamlıdere Reservoirs

Kurtboğazı ve Çaml ı dere Barajlar ı nda Klorofil a' n ı n Tahmini

Nilsun Demır(Universite of Ankara, Faculty of Agriculture Dep. of Fisheries and Aquaculture-Ankara)
&ccedil -(Un ı vers ı te of Ankara, Faculty of Agriculture Dep. of Animal Science-Ankara)
Handan Çamdeviren(Un ı vers ı te of Ankara, Faculty of Agriculture Dep. of Animal Science-Ankara)
Sıddık Keskin(Un ı vers ı te of Ankara, Faculty of Agriculture Dep. of Animal Science-Ankara)
Pages
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Publication Date
1999-01-01
DOI
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AI Summary & Key Takeaways

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

The determination coefficients were found as 95% and 82% for multiple linear regression models while 85` /0 and 7 O % for nonlinear regression models for Kurtbo ğaz ı and Çaml ı dere reservoirs, respectively.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:he relationships between chlorophyll a and some physical and chemical properties of water were investigated by using multiple linear and nonlinear regression models in Kurtbo ğ az ı and Çaml ı dere reservoirs With these two different approaches chlorophyll a was aimed to be estimate more accurately.
📊
Key Findings & Data:he relationships between chlorophyll a and some physical and chemical properties of water were investigated by using multiple linear and nonlinear regression models in Kurtbo ğ az ı and Çaml ı dere reservoirs With these two different approaches chlorophyll a was aimed to be estimate more accurately.
💡
Conclusion & Impact:The determination coefficients were found as 95% and 82% for multiple linear regression models while 85` /0 and 7 O % for nonlinear regression models for Kurtbo ğaz ı and Çaml ı dere reservoirs, respectively.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Chlorophyll a · reservoir · multiple regression

Abstract

he relationships between chlorophyll a and some physical and chemical properties of water were investigated by using multiple linear and nonlinear regression models in Kurtbo ğ az ı and Çaml ı dere reservoirs With these two different approaches chlorophyll a was aimed to be estimate more accurately. The determination coefficients were found as 95% and 82% for multiple linear regression models while 85` /0 and 7 O % for nonlinear regression models for Kurtbo ğaz ı and Çaml ı dere reservoirs, respectively.

Özet

Kurtboğ az ı ve Çaml ı dere barajlan içir ı kurulan çoklu doğ rusal ve doğ rusal olmayan regresyon modeilerinden yararlan ı larak, suyun baz ı fiziksel ve kimyasal parametreleri ile klorofil a aras ı ndaki iliş kiler değ erlendirilmiştir Bu iki farkl ı yaklaşı mdaki amaç klorofil a'n ı n güvenilir bir şekilde tahmin edilmesidir. Belirleme katsay ı lar ı Kurtboğ az ı ve Çaml ı dere baraj gölleri için, do ğ rusal çoklu regresyon modelinde s ı ras ı yla %95 ve Ü/o 8 2 olarak bulunurken, doğ rusal olmayan regresyon modellerinde %85 ve %70 olarak bulunmu ştur.

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Cite This Article

Demır, N., -, &., Çamdeviren, H., Keskin, S. (1999). Prediction of Chlorophyll a in Kurtboğazı and Çamlıdere Reservoirs. Tarım Bilimleri Dergisi, Volume: 05 Issue: 01. https://ajindex.com/articles/1228029

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