Volume 17, Issue 47 (3-2018)                   researches in Geographical Sciences 2018, 17(47): 77-93 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Simulation yield of maize based on scenarios of climate change in Fars province. researches in Geographical Sciences. 2018; 17 (47) :77-93
URL: http://jgs.khu.ac.ir/article-1-2938-en.html
Abstract:   (1329 Views)
The purpose of this research is the simulation of the maize function to scenario of climate change to the present and future. So to survey the region climate, daily data, maximum and minimum temperature, precipitation and radiation have been utilized during the period of (1987-2016). In order to simulating of climate in future, firstly the date of IPCM4 model under scenario and 30’s and 50’s with downscaling LARS-WG model. Before the simulation yield of maize, APSIM model was evaluated and validated. To calculate the maize yield the output of LARS model, plant date and were utilized as the cropping input model of APSIM. By variance analysis maize yield was compared in present and future. The results showed that the APSIM model validation can simulate acceptable accuracy and climate parameters change effect on the yield rate of maize. And on the basis of the highest yield in Fasa the lowest in the city Abade in base line. In future under different scenarios of climate change, maze grain yield in Fars province except Abade, other cities are decreasing than base line.
 

 
Full-Text [PDF 1305 kb]   (400 Downloads)    
Type of Study: Research | Subject: climatology
Received: 2017/10/10 | Accepted: 2017/12/23 | Published: 2018/02/8

Add your comments about this article : Your username or Email:
CAPTCHA code

© 2018 All Rights Reserved | Scientific Journals Management System

Designed & Developed by : Yektaweb