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Paper Information

Journal:   JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)   MAY-JUNE 2012 , Volume 26 , Number 2; Page(s) 494 To 507.
 
Paper: 

MODELING GRASS EVAPOTRANSPIRATION UNDER NON- STANDARD USING FUZZY INFERENCE SYSTEM

 
 
Author(s):  MORADI H.*, ANSARI H., ALIZADEH A., HASHEMINIA S.M., NADERIANFAR M.
 
* DEPARTMENT OF WATER ENGINEERING, FACULTY OF AGRICULTURE, FERDOWSI UNIVERSITY OF MASHHAD
 
Abstract: 

To estimate actual evapotranspiration of grass, an experiment was a weather stationat, the Faculty of Agriculture, Ferdowsi University of Mashhad in 1389 year. In this experiment, actual evapotranspiration grass Deficit irrigation at different levels (5 levels) with a single branch sprinkler system, at two-day period was measure the water balance method. Also was estimated the reference crop evapotranspiration with FAO Penman, Hargreaves-Samani and pan evaporation methods. Coefficients calculated for each plant with water level and Five Fuzzy model was provided for estimating actual daily evapotranspiration. In these models was considered FAO Penman evapotranspiration as the output model. Performance models were compared using RMES, MAE, MBE, t and R2/t. The results showed that evapotranspiration values calculated in terms of standard methods of FAO Penman and Hargreaves - Samani, compared with the water balance method, respectively, 17 and 14 percent more than had been estimated. With analysis of evapotranspiration values in non-standard conditions were found to reduce grass Deficit irrigation is the actual evapotranspiration, The difference amounts to 20 percent evapotranspiration Deficit irrigation conditions was not a significant effect on evapotranspiration. Fuzzy model output results also showed that the fuzzy models developed using the combined model (PMF56) had a high Match and the ability to estimate actual evapotranspiration are included in the daily scale.

 
Keyword(s): ACTUAL EVAPOTRANSPIRATION, FUZZY INFERENCE, WATER BALANCE, FAO PENMAN, HARGREAVES-SAMANI
 
 
References: 
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Click to Cite.
APA: Copy

MORADI, H., & ANSARI, H., & ALIZADEH, A., & HASHEMINIA, S., & NADERIANFAR, M. (2012). MODELING GRASS EVAPOTRANSPIRATION UNDER NON- STANDARD USING FUZZY INFERENCE SYSTEM. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 26(2), 494-507. https://www.sid.ir/en/journal/ViewPaper.aspx?id=271280



Vancouver: Copy

MORADI H., ANSARI H., ALIZADEH A., HASHEMINIA S.M., NADERIANFAR M.. MODELING GRASS EVAPOTRANSPIRATION UNDER NON- STANDARD USING FUZZY INFERENCE SYSTEM. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY). 2012 [cited 2021May13];26(2):494-507. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=271280



IEEE: Copy

MORADI, H., ANSARI, H., ALIZADEH, A., HASHEMINIA, S., NADERIANFAR, M., 2012. MODELING GRASS EVAPOTRANSPIRATION UNDER NON- STANDARD USING FUZZY INFERENCE SYSTEM. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), [online] 26(2), pp.494-507. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=271280.



 
 
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