Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation

Evapotranspiration (ETO) is a significant module in water-balance, irrigation scheduling and estimation of crop water requirement models. ETO can be adequately assessed when meteorological data are accessible to implement robust and strong models such as FAO-56 Penman-Monteith (PM). However, due to...

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Main Author: Mamoon ur Rasheed
Format: Article in Journal/Newspaper
Language:English
Published: 50sea 2022
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Online Access:https://journal.50sea.com/index.php/IJIST/article/view/499
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spelling ft50seaojs:oai:ojs2.journal.50sea.com:article/499 2024-03-31T07:55:14+00:00 Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation Mamoon ur Rasheed 2022-05-27 application/pdf https://journal.50sea.com/index.php/IJIST/article/view/499 eng eng 50sea https://journal.50sea.com/index.php/IJIST/article/view/499/1021 https://journal.50sea.com/index.php/IJIST/article/view/499 Copyright (c) 2022 50sea https://creativecommons.org/licenses/by/4.0 International Journal of Innovations in Science & Technology; Vol. 4 No. Issue (2022): SPL Issue Punjab University; 1-18 2709-6130 2618-1630 Reference Evapotranspiration (ETO) Hargreaves-Samani Shuttle Radar Topography Mission (SRTM) and Landsat 8 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article 2022 ft50seaojs 2024-03-04T13:14:10Z Evapotranspiration (ETO) is a significant module in water-balance, irrigation scheduling and estimation of crop water requirement models. ETO can be adequately assessed when meteorological data are accessible to implement robust and strong models such as FAO-56 Penman-Monteith (PM). However, due to data insufficiency, substitute methodologies are essential. In this context, this study aims to calculate ETO from regionally calibrated Hargreaves-Samani (HSCAL), Hargreaves-Samani (HS) and Hargreaves methods which base on Land Surface Temperature (LST) and Solar Radiation (SR). SR was calculated from empirical formulas and Shuttle Radar Topography Mission (SRTM) 30m Digital Elevation Model (DEM). HSCAL uses SR which calculated from empirical formulas as an input, whereas HS and Hargreaves uses SR which calculated from the SRTM 30m DEM. LST was calculated from Landsat8 (LS8) thermal band for all three methods. Furthermore, ETO obtained from the HSCAL (ETO,HSCAL) was compared with standard FAO-ETO values and after verification HSCAL treated as standard for the verification of the remaining two methods on various Land Use Land Cover (LULC) types. Results of comparison between ETO,HSCAL and standard FAO-ETO shows that mostly values are within the range but lower side. Comparison also disclose that vegetation and built-up LULC are the best and worst case respectively. Further, ETO,HSCAL values are mostly fall within lower class of the ranges during the monsoon season (August-September). Further, the performance of the HS and Hargreaves are evaluated based on statistical indicators; Root Mean Square Error (RMSE), Mean Bias Error (MBE), Mean Absolute Error (MAE) and Correlation Coefficient (R2). ETO values of HS (ETO,HS) and Hargreaves (ETO,H) are underestimated in the sami-arid climate zone. The mean values of all statistical indicators are lower for ETO,HS in comparison to ETO,H when ETO,HSCAL is used to compare ETO,H with ETO,HS. It indicates that, in comparison to ETO,H, ETO,HS is close to ETO,HSCAL. Article in Journal/Newspaper sami 50sea Journals
institution Open Polar
collection 50sea Journals
op_collection_id ft50seaojs
language English
topic Reference Evapotranspiration (ETO)
Hargreaves-Samani
Shuttle Radar Topography Mission (SRTM) and Landsat 8
spellingShingle Reference Evapotranspiration (ETO)
Hargreaves-Samani
Shuttle Radar Topography Mission (SRTM) and Landsat 8
Mamoon ur Rasheed
Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation
topic_facet Reference Evapotranspiration (ETO)
Hargreaves-Samani
Shuttle Radar Topography Mission (SRTM) and Landsat 8
description Evapotranspiration (ETO) is a significant module in water-balance, irrigation scheduling and estimation of crop water requirement models. ETO can be adequately assessed when meteorological data are accessible to implement robust and strong models such as FAO-56 Penman-Monteith (PM). However, due to data insufficiency, substitute methodologies are essential. In this context, this study aims to calculate ETO from regionally calibrated Hargreaves-Samani (HSCAL), Hargreaves-Samani (HS) and Hargreaves methods which base on Land Surface Temperature (LST) and Solar Radiation (SR). SR was calculated from empirical formulas and Shuttle Radar Topography Mission (SRTM) 30m Digital Elevation Model (DEM). HSCAL uses SR which calculated from empirical formulas as an input, whereas HS and Hargreaves uses SR which calculated from the SRTM 30m DEM. LST was calculated from Landsat8 (LS8) thermal band for all three methods. Furthermore, ETO obtained from the HSCAL (ETO,HSCAL) was compared with standard FAO-ETO values and after verification HSCAL treated as standard for the verification of the remaining two methods on various Land Use Land Cover (LULC) types. Results of comparison between ETO,HSCAL and standard FAO-ETO shows that mostly values are within the range but lower side. Comparison also disclose that vegetation and built-up LULC are the best and worst case respectively. Further, ETO,HSCAL values are mostly fall within lower class of the ranges during the monsoon season (August-September). Further, the performance of the HS and Hargreaves are evaluated based on statistical indicators; Root Mean Square Error (RMSE), Mean Bias Error (MBE), Mean Absolute Error (MAE) and Correlation Coefficient (R2). ETO values of HS (ETO,HS) and Hargreaves (ETO,H) are underestimated in the sami-arid climate zone. The mean values of all statistical indicators are lower for ETO,HS in comparison to ETO,H when ETO,HSCAL is used to compare ETO,H with ETO,HS. It indicates that, in comparison to ETO,H, ETO,HS is close to ETO,HSCAL.
format Article in Journal/Newspaper
author Mamoon ur Rasheed
author_facet Mamoon ur Rasheed
author_sort Mamoon ur Rasheed
title Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation
title_short Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation
title_full Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation
title_fullStr Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation
title_full_unstemmed Estimation of Reference Evapotranspiration using Regionally Calibrated Hargreaves-Samani Equation
title_sort estimation of reference evapotranspiration using regionally calibrated hargreaves-samani equation
publisher 50sea
publishDate 2022
url https://journal.50sea.com/index.php/IJIST/article/view/499
genre sami
genre_facet sami
op_source International Journal of Innovations in Science & Technology; Vol. 4 No. Issue (2022): SPL Issue Punjab University; 1-18
2709-6130
2618-1630
op_relation https://journal.50sea.com/index.php/IJIST/article/view/499/1021
https://journal.50sea.com/index.php/IJIST/article/view/499
op_rights Copyright (c) 2022 50sea
https://creativecommons.org/licenses/by/4.0
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