AI Summary & Key Takeaways
AI InsightThe determination coefficients R' of models were found as 92% and 74% for total blue-green algal biomass and blue-green algae index, respectively.
📌 3 Key Takeaways
Abstract
In this study, two multiple regression models were determined for the prediction of blue-green algal biomass in summer months of Kurtboğ az ı reservoir. Algal biomass was calculated as total blue-green algal biomass, relative blue-green algal biomass and blue-green algae index. Total phosphorus, total inorganic nitrogen and Secchi depth were used as independent variables in models. The determination coefficients R' of models were found as 92% and 74% for total blue-green algal biomass and blue-green algae index, respectively.
Özet
Bu çal ışmada, Kurtboğ az ı baraj gölünün yaz aylar ı ndaki mavi-yeşil alg biyomas ı n ı n tahminine yönelik iki çoklu regresyon modeli oluşturulmuştur. Alg biyomas ı ; toplam mavi-yeşil alg biyomas ı , oransal mavi-ye şil alg biyomas ı ve mavi-yeşil alg indeksi olarak hesaplanm ışt ı r. Modellerde, toplam fosfor, toplam inorganik azot ve Secchi derinli ği bağı ms ı z değiş ken olarak kullan ı lm ışt ı r. Toplam mavi-yeş il alg biyomas ı ve mavi-ye şil alg indeksi modellerine ait isabet dereceleri R' s ı ras ı yla %92 ve %74 olarak bulunmuştur.