تحليل حساسيت پارامترهاي رشدي گلرنگ در مدل AquaCrop با مديريت‌هاي مختلف آبياري

Sensitivity Analysis of Safflower Growth Parameters in AquaCrop Model with Different Irrigation Managements

ﻣﺪل AquaCrop ﯾﮑﯽ از ﻣﺪل ﻫﺎي ﮔﯿﺎﻫﯽ آب- ﻣﺤﻮر اﺳﺖ ﮐﻪ ﺑﻪ ﻣﻨﻈﻮر ﺷﺒﯿﻪ ﺳﺎزي رﺷﺪ ﮔﯿﺎﻫﺎن زراﻋﯽ ﺗﺤﺖ ﻣﻘﺎدﯾﺮ ﻣﺨﺘﻠﻒ آب آﺑﯿﺎري ﺑﺴـﻂ داد ﺷﺪه اﺳﺖ. ﺑﺮاي اﺳﺘﻔﺎده از اﯾﻦ ﻣﺪل ﻻزم اﺳﺖ واﺳﻨﺠﯽ اﻧﺠﺎم ﺷﻮد و ﺑﺮاي واﺳﻨﺠﯽ، ﺑﺎﯾﺴﺘﯽ ﻣﯿﺰان ﺣﺴﺎﺳﯿﺖ ﻣﺪل ﻧﺴﺒﺖ ﺑﻪ ﺗﻐﯿﯿﺮات ﭘﺎراﻣﺘﺮﻫﺎي ورودي ﺗﻌﯿﯿﻦ ﺷﻮد. اﯾﻦ ﭘﮋوﻫﺶ ﺑﻪﻣﻨﻈﻮر ﺑﺮرﺳﯽ ﺣﺴﺎﺳﯿﺖ ﻣﺪلAquaCrop در ﺷﺒﯿﻪ ﺳﺎزي زﯾﺴﺖ ﺗﻮده ﮔﻠﺮﻧﮓ ﻧﺴـﺒﺖ ﺑـﻪ ﺗﻐﯿﯿـﺮات ﭘﺎراﻣﺘﺮﻫـﺎي رﺷـﺪ ﮔﯿـﺎﻫﯽ ﺑﻬﺮه وري آب ﻧﺮﻣﺎل ﺷﺪه )*WP(، ﺣﺪاﮐﺜﺮ ﺿﺮﯾﺐ ﺗﻌﺮق ﮔﯿﺎﻫﯽ )KCTrx(، ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ اوﻟﯿﻪ )CCo(، ﺿـﺮﯾﺐ رﺷـﺪ ﭘﻮﺷـﺶ ﮔﯿـﺎﻫﯽ )CGC( و ﺿـﺮﯾﺐ ﮐﺎﻫﺶ ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ )CDC( ﺑﺎ اﺳﺘﻔﺎده از روش ﺑﺎون اﻧﺠﺎم ﺷﺪ. در اﯾﻦ ﭘﮋوﻫﺶ، از داده ﻫﺎي ﺑﺮداﺷـﺖ ﺷـﺪه از ﯾـﮏ ﻣﺰرﻋـﻪ ﺗﺤﻘﯿﻘـﺎﺗﯽ در ﺷﻬﺮﺳـﺘﺎن ﮐﺮﻣﺎﻧﺸﺎه اﺳﺘﻔﺎده ﺷﺪ. اﯾﻦ داده ﻫﺎ ﺷﺎﻣﻞ آﺑﯿﺎري ﻗﻄﺮه اي ﺳﻄﺤﯽ در ﺳﻪ ﺳﻄﺢ )T2 ،T1 و T3 ﺑﻪ ﺗﺮﺗﯿﺐ ﻧﺸﺎن دﻫﻨﺪه ﺗـﺄﻣﯿﻦ 66 ،100 و 33 درﺻـﺪ ﻧﯿـﺎز آﺑﯽ(، آﺑﯿﺎري ﺟﻮﯾﭽﻪ اي در دو ﺳﻄﺢ )T4: ﺗﺄﻣﯿﻦ 100 درﺻﺪ ﻧﯿﺎز آﺑﯽ، T5: اﻋﻤﺎل 50 ﻣﯿﻠﯽ ﻣﺘﺮ آب آﺑﯿﺎري در ﯾﮏ ﻧﻮﺑـﺖ در دوره ﮔﻠـﺪﻫﯽ( و ﺷـﺮاﯾﻂ دﯾـﻢ )T6( ﺑﻮد. ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ ﻣﺪل AquaCrop ﻧﺴﺒﺖ ﺑﻪ ﺗﻐﯿﯿﺮات ﭘﺎراﻣﺘﺮ *WP ﺑﯿﺸﺘﺮﯾﻦ ﺣﺴﺎﺳﯿﺖ را داﺷﺖ. ﮐﻤﺘﺮﯾﻦ ﺣﺴﺎﺳـﯿﺖ ﻧﯿـﺰ ﺑـﻪ ﭘـﺎراﻣﺘﺮ CDC اﺧﺘﺼﺎص داﺷﺖ. ﺣﺴﺎﺳﯿﺖ اﯾﻦ ﻣﺪل ﻧﺴﺒﺖ ﺑﻪ ﺗﻐﯿﯿﺮات ﭘﺎراﻣﺘﺮ CDC ﻣﻨﻔﯽ و ﺑﺮاي ﺳﺎﯾﺮ ﺗﯿﻤﺎرﻫﺎ ﻣﺜﺒﺖ ﺑﻮد. ﺑﻨﺎﺑﺮاﯾﻦ اﻓﺰاﯾﺶ ﻣﻘـﺪار CDC ﺳـﺒﺐ ﮐـﺎﻫﺶ زﯾﺴﺖ ﺗﻮده ﮔﻠﺮﻧﮓ ﺷﺪ در ﺣﺎﻟﯽ ﮐﻪ اﻓﺰاﯾﺶ ﺳﺎﯾﺮ ﭘﺎراﻣﺘﺮﻫﺎ ﺳﺒﺐ اﻓﺰاﯾﺶ زﯾﺴﺖ ﺗﻮده ﮔﻠﺮﻧﮓ ﺷﺪ. ﻣﯿﺰان ﺣﺴﺎﺳﯿﺖ ﻫﺮ ﭘﺎراﻣﺘﺮ ﺑﻪ ﺗﯿﻤﺎر آﺑﯿﺎري واﺑﺴﺘﻪ ﺑﻮد. ﺑﻪ ﻃﻮري ﮐﻪ اﻓﺰاﯾﺶ ﻣﻘﺪار آب آﺑﯿﺎري ﺑﺮاي ﭘﺎراﻣﺘﺮﻫﺎي *WP و Kc ﺳﺒﺐ اﻓﺰاﯾﺶ ﺣﺴﺎﺳﯿﺖ ﺷﺪ

AquaCrop model is one of the water-driven models that has been developed to simulate the growth of crops under different amounts of irrigation water. However, to use this model, it is necessary to perform calibration. For calibration, it is necessary to determine the sensitivity of changing in input parameters. Therefore, the present study performed to evaluate the sensitivity of AquaCrop in simulating safflower biomass to changes in crop growth parameters. So, normalized water productivity (WP*), maximum transpiration coefficient (KcTrx), initial canopy cover (CC0), crop growth coefficient (CGC) and crop reduction coefficient (CDC) was evaluated using Baven method. In this study, data collected from an agricultural research station in Kermanshah, Iran, was used. Data consisted of surface drip irrigation at three levels (T1, T2 and T3 represent the supply of 100, 66 and 33% of water requirement, respectively), furrow irrigation at two levels (T4: 100% water supply and T5: application of 50 mm irrigation water at the same time in flowering period) and rainfed (T6). The results showed that AquaCrop was the most sensitive to change WP*. The lowest sensitivity was assigned to CDC. The sensitivity of this model to CDC parameter changes was negative and for other treatments was positive. Therefore, increasing the amount of CDC decreased safflower biomass while increasing other parameters increased safflower biomass. The sensitivity of each parameter depended on the irrigation treatment. So that increasing the amount of irrigation water for WP* and Kc increased the sensitivity.