Authors: Sashika Perera, Lakshman Galagedara, Chandra Jayasena, Adrian Unc, Olga Vasilyeva
Identifier: CSBE21215
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Published in: CSBE-SCGAB Technical Conferences » 5th CIGR and AGM Quebec City 2021 » Regular Sessions

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Description: Estimation of potential evapotranspiration (PET) has always been a problem due to the lack of measured data. Furthermore, having an understanding of trends for such an important hydrologic parameter facilitates in real-world applications, especially in agriculture. Hence, this study focuses on selecting a suitable empirical model to be used in calculating PET for scarce data scenarios for seven selected agriculture-based locations in Newfoundland, Canada. Daily PET values were calculated for selected locations using measured weather data ranging from 36 - 70 years, using six methods; FAO Penman-Monteith (PM), Priestley-Taylor (PT), Makkink (M), Hargreaves-Samani (HS), Turc (T), and Hamon (H). An additional attempt was made to identify existing PET trends at the selected locations using the Mann-Kendal trend test. The calculated results using the above methods were compared with PET data obtained from the Pacific Corn Field Association for St. John?s, Newfoundland. It was found that the HS method was more suited to calculate PET, at this location, with a root mean square error (RMSE) of 0.1040 mm/day and a coefficient of determination (R2) of 0.99. The R2 values for PM, H, PT, T and M were 0.94, 0.82, 0.81, 0.27 and 0.84, respectively. Positive trends were found with regards to PET calculated using the HS method for all selected locations. Thus, in conclusion, the HS method can be recommended to estimate PET in Newfoundland, while making a note of the rising trend in PET for selected study locations.

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Date: 2021-06-11
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Conference name: 5th CIGR International Conference and CSBE-SCGAB AGM 2021, Quebec City,QC, 11-14 May 2021.
Session name: Monitoring, Control and Data Analysis 1

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Type: Text.Abstract
Publication type: Presentation
Coverage: Canada
Language 1: en
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Rights: Canadian Society for Bioengineering
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