Data mining approach for estimation evaporation from free water surface

TERZİ Ö.

Journal of Applied Sciences, cilt.7, sa.4, ss.593-596, 2007 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 4
  • Basım Tarihi: 2007
  • Doi Numarası: 10.3923/jas.2007.593.596
  • Dergi Adı: Journal of Applied Sciences
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.593-596
  • Anahtar Kelimeler: Data mining, Pan evaporation, Penman method
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Hayır

Özet

Evaporation is a fundamental parameter in the cycle of hydrology. In the present study, data mining method is used to developed evaporation models. Before modeling, air temperature, water temperature, solar radiation and relative humidity parameters are selected as parameters affecting evaporation. Decision Table, KStar, M5P, Pace Regression, M5'Rules, Neural Network, Regression, Simple Linear Regression and SMO Regression algorithms are used for modeling. Finally, the developed models are compared with measured daily pan evaporation values and Penman method. The comparisons show that there is a good agreement between results of M5P model and measured daily pan evaporation values. © 2007 Asian Network for Scientific Information.