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Saeed Sharafi

Saeed Sharafi

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0003-2644-5924
Education: PhD.
ScopusId: 26640694100
HIndex:
Faculty: Agriculture and Environment
Address: Arak University
Phone:

Research

Title
Role of early warning systems for sustainable agriculture in Iran
Type
JournalPaper
Keywords
Evapotranspiration .Droughtmonitoring .Aridity index . Iran
Year
2016
Journal Arabian Journal of Geoscience
DOI
Researchers Saeed Sharafi ، mahmod Ramroudi ، mahdi nasiri ، mohhamad galvi ، Gholam Ali Kamali

Abstract

Drought is a complex phenomenon in meteorology and can affect agriculture. Its impacts vary greatly since they depend not only on the magnitude, timing, duration, and frequency of rainfall deficits but also on the differing responses of various plants to water stress. The essence of good drought management is to use this range of responses to the best advantage. Iran is one of the world’s largest and most productive suppliers of food and fiber. The objective of this study was, therefore, to gather and analyze standardized information on the Role of Early Warning Systems for Sustainable Agriculture for cereals and leguminous and industrial crops in Iran environmental zones. Annual average rainfall (mm year−1) and ETO (mm year−1) are 76.56 and 3001, respectively, in stations with very dry climate; 195.41 and 2249, respectively, in stations with dry climate; 343.9 and 1351, respectively, in stations with semi-dry climate; 583.8 and 1153, respectively, in stations with semi-humid climate; and 1272 and 949, respectively, in stations with humid climate. The maximum and minimum of annual average rainfall happened in Rasht (1337 mm year−1) and Zabol (57 mm year−1) stations, and the maximum and minimum for annual average ETO happened in Chabahar (3909.15 mm year−1) and Anzali harbor (890.6mmyear−1), respectively. Therefore, 13.63%of stations have suitable conditions for crop productions and 86.37 % are in critical conditions.