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Ali Akbar Sabziparvar

Ali Akbar Sabziparvar

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId: 6506928993
HIndex:
Faculty: Faculty of Agriculture
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Research

Title
Evaluation of Class A Pan Coefficient Models for Estimation of Reference Crop Evapotranspiration in Cold Semi-Arid and Warm Arid Climates
Type
JournalPaper
Keywords
Pan coefficient models · Reference evapotranspiration · Warm arid climate · Cold semi-arid climate
Year
2009
Journal JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
DOI
Researchers Ali Akbar Sabziparvar

Abstract

Evapotranspiration and evaporation measurements are important parameters for many agricultural activities such as water resource management and environmental studies. There are several models which can determine pan coefficient (KPan), using wind speed, relative humidity and fetch length conditions. This paper analyses seven exiting pan models to estimate KPan values for two different climates of Iran. Monthly mean reference crop evapotranspiration (ET0) was calculated according to the pan-ET0 model. The results showed that estimated pan coefficients by majority of the suggested models were not statistically accurate to be used in the pan-ET0 conversion method. However, for the cold semi-arid climate condition, the best KPan models for estimation of ET0 were Orang and Raghuwanshi–Wallender, respectively. Also, the Snyder and Orang models were best fitted models for warm arid climate, respectively. The mean annual value of KPan, determined by Penman– Monteith FAO 56 (PMF-56) standard model for warm arid sites, was approximately 32% higher than the corresponding value in the cold semi-arid climate. Similarly, the mean annual ET0 in the warm arid sites was 66% higher, compared to the ET0 of the cold semi-arid sites. These types of warm arid and semi-arid climates are found widely throughout the world.