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Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico

Reference evapotranspiration (ET(0)) is the first step in calculating crop irrigation demand, and numerous methods have been proposed to estimate this parameter. FAO-56 Penman–Monteith (PM) is the only standard method for defining and calculating ET(0). However, it requires radiation, air temperatur...

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Autores principales: Delgado-Ramírez, Gerardo, Bolaños-González, Martín Alejandro, Quevedo-Nolasco, Abel, López-Pérez, Adolfo, Estrada-Ávalos, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422496/
https://www.ncbi.nlm.nih.gov/pubmed/37571790
http://dx.doi.org/10.3390/s23157007
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author Delgado-Ramírez, Gerardo
Bolaños-González, Martín Alejandro
Quevedo-Nolasco, Abel
López-Pérez, Adolfo
Estrada-Ávalos, Juan
author_facet Delgado-Ramírez, Gerardo
Bolaños-González, Martín Alejandro
Quevedo-Nolasco, Abel
López-Pérez, Adolfo
Estrada-Ávalos, Juan
author_sort Delgado-Ramírez, Gerardo
collection PubMed
description Reference evapotranspiration (ET(0)) is the first step in calculating crop irrigation demand, and numerous methods have been proposed to estimate this parameter. FAO-56 Penman–Monteith (PM) is the only standard method for defining and calculating ET(0). However, it requires radiation, air temperature, atmospheric humidity, and wind speed data, limiting its application in regions where these data are unavailable; therefore, new alternatives are required. This study compared the accuracy of ET(0) calculated with the Blaney–Criddle (BC) and Hargreaves–Samani (HS) methods versus PM using information from an automated weather station (AWS) and the NASA-POWER platform (NP) for different periods. The information collected corresponds to Module XII of the Lagunera Region Irrigation District 017, a semi-arid region in the North of Mexico. The HS method underestimated the reference evapotranspiration (ET(0)) by 5.5% compared to the PM method considering the total ET(0) of the study period (26 February to 9 August 2021) and yielded the best fit in the different evaluation periods (daily, 5-day mean, and 5-day cumulative); the latter showed the best values of inferential parameters. The information about maximum and minimum temperatures from the NP platform was suitable for estimating ET(0) using the HS equation. This data source is a suitable alternative, particularly in semi-arid regions with limited climatological data from weather stations.
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spelling pubmed-104224962023-08-13 Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico Delgado-Ramírez, Gerardo Bolaños-González, Martín Alejandro Quevedo-Nolasco, Abel López-Pérez, Adolfo Estrada-Ávalos, Juan Sensors (Basel) Article Reference evapotranspiration (ET(0)) is the first step in calculating crop irrigation demand, and numerous methods have been proposed to estimate this parameter. FAO-56 Penman–Monteith (PM) is the only standard method for defining and calculating ET(0). However, it requires radiation, air temperature, atmospheric humidity, and wind speed data, limiting its application in regions where these data are unavailable; therefore, new alternatives are required. This study compared the accuracy of ET(0) calculated with the Blaney–Criddle (BC) and Hargreaves–Samani (HS) methods versus PM using information from an automated weather station (AWS) and the NASA-POWER platform (NP) for different periods. The information collected corresponds to Module XII of the Lagunera Region Irrigation District 017, a semi-arid region in the North of Mexico. The HS method underestimated the reference evapotranspiration (ET(0)) by 5.5% compared to the PM method considering the total ET(0) of the study period (26 February to 9 August 2021) and yielded the best fit in the different evaluation periods (daily, 5-day mean, and 5-day cumulative); the latter showed the best values of inferential parameters. The information about maximum and minimum temperatures from the NP platform was suitable for estimating ET(0) using the HS equation. This data source is a suitable alternative, particularly in semi-arid regions with limited climatological data from weather stations. MDPI 2023-08-07 /pmc/articles/PMC10422496/ /pubmed/37571790 http://dx.doi.org/10.3390/s23157007 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Delgado-Ramírez, Gerardo
Bolaños-González, Martín Alejandro
Quevedo-Nolasco, Abel
López-Pérez, Adolfo
Estrada-Ávalos, Juan
Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico
title Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico
title_full Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico
title_fullStr Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico
title_full_unstemmed Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico
title_short Estimation of Reference Evapotranspiration in a Semi-Arid Region of Mexico
title_sort estimation of reference evapotranspiration in a semi-arid region of mexico
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422496/
https://www.ncbi.nlm.nih.gov/pubmed/37571790
http://dx.doi.org/10.3390/s23157007
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