Chilling accumulation pattern analysis of Iran cold regions based on CH models،Utah،CP

Chilling accumulation in dormancy period for deciduous fruit tree is of very high importance. Failure to meet this chilling requirement reduces the performance and results in the loss of resources. In order to investigate the Chilling accumulation pattern in the cold regions of Iran, three-hour temp...

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Bibliographic Details
Main Authors: Golamabbas Fallah Ghalhari, Hamzeh Ahmadi
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2018-06-01
Series:جغرافیا و توسعه
Subjects:
Online Access:https://gdij.usb.ac.ir/article_3849_94f66275d498f904d0a9cfcd28937aad.pdf
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Summary:Chilling accumulation in dormancy period for deciduous fruit tree is of very high importance. Failure to meet this chilling requirement reduces the performance and results in the loss of resources. In order to investigate the Chilling accumulation pattern in the cold regions of Iran, three-hour temperature data from 1985 to 2013 from 28 synoptic weather stations has been used. The three-hour synoptic temperature data for the dormancy period from November to March has been converted into an hourly temperature database with 3252800 numbers of records for each model has been calculated. Chilling Hours (CH), chilling units (Utah), and Dynamic (CP) models were used to determine the chilling accumulation. Chilling accumulation pattern based on CH model output from 775 to 1445 hours and based on Utah model from 1191 to 2121 chilling unit and also based on CP model from 63 to 96 chilling part between the cold region stations is variable. The elevation factor in chilling accumulation pattern in each of models has show the important role. In past decades, the frequency of chilling accumulation maximum was more than recent decades. The investigation of time series showed that there is a significant downward trend of chilling accumulation at the level of 0.05 in stations of Isfahan and Shahr-e Kurd and trend negative slope in most stations. Based on the validation criteria, Dynamic model output with a smaller RMSE shows a higher efficacy, compared to other models, to determine the chilling accumulation.
ISSN:1735-0735
2676-7791