Comparison of artificial intelligence models and experimental models in estimating reference evapotranspiration (Case study: Ramhormoz synoptic station)
IntroductionWater resources are strongly influenced by the hydrological cycle and the estimation of evapotranspiration as the main component of the hydrological cycle plays an important role in water resources management. This phenomenon is nonlinear and very difficult to estimate in the sense that...
Main Authors: | Danial Khari, Aslan Egdernezhad, Niazali Ebrahimipak |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Mohaghegh Ardabili
2023-06-01
|
Series: | مدلسازی و مدیریت آب و خاک |
Subjects: | |
Online Access: | https://mmws.uma.ac.ir/article_1774_9dacaf8449f1a7ae65461087cc0fda0d.pdf |
Similar Items
-
Performance evaluation of different empirical models for reference evapotranspiration estimation over Udhagamandalm, The Nilgiris, India
by: P. Raja, et al.
Published: (2024-05-01) -
Estimation methods to define reference evapotranspiration: a comparative perspective
by: Juan Pinos
Published: (2022-04-01) -
On the empirical estimation of evapotranspiration in pigeoppea
by: A. RAMBABU, et al.
Published: (1999-06-01) -
Estimating potential reference evapotranspiration using time series models (case study: synoptic station of Tabriz in northwestern Iran)
by: Jahangir Abedi-Koupai, et al.
Published: (2022-08-01) -
Evaluation of different methods for evapotranspiration estimation using automatic weather station data
by: S. CHOWDHURY, et al.
Published: (2010-06-01)