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Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   APRIL-MAY 2017 , Volume 31 , Number 1 ; Page(s) 61 To 74.
 
Paper: 

APPLICATION OF CHAOS THEORY AND ARTIFICIAL NEURAL NETWORKS TO EVALUATE EVAPORATION FROM LAKE'S WATER SURFACE

 
 
Author(s):  FARZIN S.*, HAJIABADI M.R., AHMADI M.H.
 
* DEPARTMENT OF WATER ENGINEERING AND HYDRAULIC STRUCTURES, FACULTY OF CIVIL ENGINEERING, SEMNAN UNIVERSITY, SEMNAN, IRAN
 
Abstract: 

Introduction: Dynamic nature of hydrological phenomena and the limited availability of appropriate mathematical tools caused the most previous studies in this field led to the random and the probabilistic approach. So selection the best model for evaluation of these phenomena is essential and complex. Nowadays different models are used for evaluation and prediction of hydrological phenomena. Damle and Yalcin (2007) estimated river runoff by chaos theory. khatibi et al (2012) used artificial neural network and gene expression programming to predict relative humidity. Zounemat and Kisi (2015) evaluated chaotic behavior of marine windwave system of Caspian sea. One of the important hydrological phenomena is evaporation, especially in lakes.
The investigation of deterministic and stochastic behavior of water evaporation values in the lakes in order to select the best simulation approach and capable of prediction is an important and controversial issue that has been studied in this research. ...

 
Keyword(s): HYDROLOGICAL PHENOMENA, LYAPUNOV EXPONENT, PREDICTION, URMIA LAKE
 
 
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APA: Copy

FARZIN, S., & HAJIABADI, M., & AHMADI, M. (2017). APPLICATION OF CHAOS THEORY AND ARTIFICIAL NEURAL NETWORKS TO EVALUATE EVAPORATION FROM LAKE'S WATER SURFACE. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 31(1 ), 61-74. https://www.sid.ir/en/journal/ViewPaper.aspx?id=570157



Vancouver: Copy

FARZIN S., HAJIABADI M.R., AHMADI M.H.. APPLICATION OF CHAOS THEORY AND ARTIFICIAL NEURAL NETWORKS TO EVALUATE EVAPORATION FROM LAKE'S WATER SURFACE. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY). 2017 [cited 2021May18];31(1 ):61-74. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=570157



IEEE: Copy

FARZIN, S., HAJIABADI, M., AHMADI, M., 2017. APPLICATION OF CHAOS THEORY AND ARTIFICIAL NEURAL NETWORKS TO EVALUATE EVAPORATION FROM LAKE'S WATER SURFACE. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), [online] 31(1 ), pp.61-74. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=570157.



 
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