ارزيابي كارايي مدلSALTMED در برآورد عملكرد محصول ذرت علوفه اي در شرايط رايج آبياري در دشت‌هاي شهركرد و خان ميرزا

Evaluation performance SALTMED Model to estimate corn yield in terms of common irrigation plains Shahrekord and Khanmyrza

اﻣﺮوزه ﺣﻔﻆ ﻣﻨﺎﺑﻊ آب و ﺧﺎك، ﺑﺴـﯿﺎر ﻣﻮرد ﺗﻮﺟﻪ ﻣﺠﺎﻣﻊ ﻣﺨﺘﻠﻒ ﺑﯿﻦاﻟﻤﻠﻠﯽ ﻗﺮار ﮔﺮﻓﺘﻪ اﺳﺖ و ﻣﺪلﻫﺎ ﻣﯽﺗﻮاﻧﻨﺪ اﺑﺰارﻫﺎي ﺑﺴﯿﺎر ﻣﻔﯿﺪي ﺑﺮاي ﻣﺪﯾﺮﯾﺖ آب ﮐﺸـﺎورزي ﺑﺎﺷـﻨﺪ. ﻫﻤﭽﻨﯿﻦ ﻣﯽﺗﻮاﻧﻨﺪ در ﺑﺮﻧﺎﻣﻪرﯾﺰي آﺑﯿﺎري و ﻣﺤﺎﺳـﺒﻪ ﻧﯿﺎز آﺑﯽ ﮔﯿﺎه و ﻫﻤﭽﻨﯿﻦ در ﭘﯿﺶﺑﯿﻨﯽ ﻣﺤﺼـﻮل ﺑﻪ ﻣﺎ ﮐﻤﮏ ﮐﻨﻨﺪ. در اﯾﻦ ﭘﮋوﻫﺶ ﻣﺪلSALTMED ﺑﺎ اﺳـﺘﻔﺎده از دادهﻫﺎي ﻣﺰارع ذرت در دﺷـﺖﻫﺎي ﺧﺎنﻣﯿﺮزا و ﺷـﻬﺮﮐﺮد ﺑﺮاي ﺷـﺒﯿﻪﺳـﺎزي ﻣﻘﺪار ﻋﻤﻠﮑﺮد ﻣﺤﺼـﻮل ﻣﻮرد ارزﯾﺎﺑﯽ ﻗﺮار ﮔﺮﻓﺖ. ﻧﺘﺎﯾﺞ ﺣﺎﺻـﻞ از ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞ دادهﻫﺎي ﻣﺸـﺎﻫﺪهاي و ﺷـﺒﯿﻪﺳـﺎزي ﻧﺸـﺎن داد ﺗﻔﺎوت -0/127 (CRM)ﺿـﺮﯾﺐ ﺟﺮم ﻣﺎﻧﺪه ،9/84 (RMSE) ﻣﻌﻨﯽداري ﺑﯿﻦ اﯾﻦ دو ﻣﻘﺪار وﺟﻮد ﻧﺪارد. ﻫﻤﭽﻨﯿﻦ ﻣﻘﺪار ﺟﺬر ﻣﯿﺎﻧﮕﯿﻦ ﻣﺮﺑﻌﺎت ﺧﻄﺎ و ﺿـﺮﯾﺐ ﮐﺎرآﯾﯽ ﻣﺪل )EF( 0/329- ﺑﻪدﺳـﺖ آﻣﺪﻧﺪ. ﺗﻤﺎم ﻧﺘﺎﯾﺞ اﯾﻦ ﺗﺤﻘﯿﻖ ﻧﺸـﺎن ﻣﯽدﻫﺪ ﮐﻪ ﻣﺪل SALTMEDﺑﻪ ﻃﻮر ﻣﻮﻓﻘﯿﺖآﻣﯿﺰي ﻣﯽﺗﻮاﻧﺪ اﺑﺰاري ﻣﻨﺎﺳﺐ ﺑﺮاي ﻣﺪﯾﺮﯾﺖ آﺑﯿﺎري و ﭘﯿﺶﺑﯿﻨﯽ ﻋﻤﻠﮑﺮد ﻣﺤﺼﻮل در ﻣﺰارع ﺗﺤﺖ آﺑﯿﺎري اﺳﺘﺎن ﭼﻬﺎرﻣﺤﺎل و ﺑﺨﺘﯿﺎري ﺑﺎﺷﺪ.

International communities have been highly regarded to conservation of soil and water. Models can be useful tools for agricultural water management. They also can be useful for irrigation scheduling and crop water requirement calculations as well as predictions crop yield. In this study SALTMED model using data corn fields in plains Khanmyrza and ShahreKord to simulate the amount of yield was evaluated. The results of analysis and simulation data obtained showed no significant difference between the two values. The amount of root mean square error (RMSE) 9.84, coefficient of residual mass (CRM) -0.127 and the coefficient of determination (EF) -0.329 were obtained. All results show that the model can be successfully SALTMED suitable tool for managing irrigation and predict product performance in the field is irrigated Chaharmahal and Bakhtiari province.