Yapay sinir ağları yaklaşımı kullanılarak günlük tava buharlaşması tahmini
Buharlaşma tahminine alternatif bir yaklaşım olarak, Eğirdir Gölü'nden meteorolojik parametrelerle günlük tava buharlaşmasını tahmin etmek için Yapay Sinir Ağları (YSA) metodu kullanılarak modeller geliştirilmiştir. Model geliştirmekte kullanılan meteorolojik veriler, 2001 ve 2002 yıllarına ait günlük hava sıcaklığı, su sıcaklığı, güneş radyasyonu, hava basıncı, nisbi nem ve rüzgar hızı parametrelerinden oluşmaktadır. Geliştirilen YSA modelleri günlük tava buharlaşma değerlerinin tahmininde kullanılmıştır. Aynı zamanda, buharlaşma metotlarının temelini oluşturan Penman metodu kullanılarak günlük buharlaşma tahminleri yapılmıştır. YSA modelinin ve Penman metodunun sonuçları tava buharlaşma değerleri ile kıyaslanmış ve YSA modelinin, tava buharlaşma değerleri ile uyum içerisinde olduğu görülmüştür.
Daily pan evaporation estimation using artificial neural networks approach
ANN models are developed to estimate daily pan evaporation from measured meteorological data using Artificial Neural Network (ANN) method proposed as an alternative approach of evaporation estimation for Lake Eğirdir. Meteorological data used to develop the models of daily pan evaporation include daily observations of air and water temperature, solar radiation, air pressure,relative humidity and wind speed from 2001 to 2002 years. ANN models are used to estimate daily pan evaporation. Daily pan evaporation is also estimated by using Penman method that is the basis of evaporation methods. The results of ANN model and Penman method are compared to pan evaporation values and the comparison shows that there is better agreement between the ANN estimations and measurements of daily pan evaporation.
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- ISSN: 1300-3453
- Yayın Aralığı: Yılda 6 Sayı
- Yayıncı: TMMOB İnşaat Mühendisleri Odası