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The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh
Reference evapotranspiration (ET(o)) is a basic element for hydrological designing and agricultural water resources management. The FAO56 recommended Penman–Monteith (FAO56-PM) formula recognized worldwide as the robust and standard model for calculating ET(o). However, the use of the FAO56-PM model...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678841/ https://www.ncbi.nlm.nih.gov/pubmed/33214603 http://dx.doi.org/10.1038/s41598-020-77183-y |
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author | Salam, Roquia Islam, Abu Reza Md. Towfiqul Pham, Quoc Bao Dehghani, Majid Al-Ansari, Nadhir Linh, Nguyen Thi Thuy |
author_facet | Salam, Roquia Islam, Abu Reza Md. Towfiqul Pham, Quoc Bao Dehghani, Majid Al-Ansari, Nadhir Linh, Nguyen Thi Thuy |
author_sort | Salam, Roquia |
collection | PubMed |
description | Reference evapotranspiration (ET(o)) is a basic element for hydrological designing and agricultural water resources management. The FAO56 recommended Penman–Monteith (FAO56-PM) formula recognized worldwide as the robust and standard model for calculating ET(o). However, the use of the FAO56-PM model is restricted in some data-scarce regions like Bangladesh. Therefore, it is imperative to find an optimal alternative for estimating ET(o) against FAO56-PM model. This study comprehensively compared the performance of 13 empirical models (Hargreaves–Samani, HargreavesM1, Hargreaves M2, Berti, WMO, Abtew, Irmak 1, Irmak 2, Makkink, Priestley-Taylor, Jensen–Haise, Tabari and Turc) by using statistical criteria for 38-years dataset from 1980 to 2017 in Bangladesh. The radiation-based model proposed by Abtew (ET(o,6)) was selected as an optimal alternative in all the sub-regions and whole Bangladesh against FAO56-PM model owing to its high accuracy, reliability in outlining substantial spatiotemporal variations of ET(o), with very well linearly correlation with the FAO56-PM and the least errors. The importance degree analysis of 13 models based on the random forest (RF) also depicted that Abtew (ET(o,6)) is the most reliable and robust model for ET(o) computation in different sub-regions. Validation of the optimal alternative produced the largest correlation coefficient of 0.989 between ET(o,s) and ET(o,6) and confirmed that Abtew (ET(o,6)) is the best suitable method for ET(o) calculation in Bangladesh. |
format | Online Article Text |
id | pubmed-7678841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76788412020-11-23 The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh Salam, Roquia Islam, Abu Reza Md. Towfiqul Pham, Quoc Bao Dehghani, Majid Al-Ansari, Nadhir Linh, Nguyen Thi Thuy Sci Rep Article Reference evapotranspiration (ET(o)) is a basic element for hydrological designing and agricultural water resources management. The FAO56 recommended Penman–Monteith (FAO56-PM) formula recognized worldwide as the robust and standard model for calculating ET(o). However, the use of the FAO56-PM model is restricted in some data-scarce regions like Bangladesh. Therefore, it is imperative to find an optimal alternative for estimating ET(o) against FAO56-PM model. This study comprehensively compared the performance of 13 empirical models (Hargreaves–Samani, HargreavesM1, Hargreaves M2, Berti, WMO, Abtew, Irmak 1, Irmak 2, Makkink, Priestley-Taylor, Jensen–Haise, Tabari and Turc) by using statistical criteria for 38-years dataset from 1980 to 2017 in Bangladesh. The radiation-based model proposed by Abtew (ET(o,6)) was selected as an optimal alternative in all the sub-regions and whole Bangladesh against FAO56-PM model owing to its high accuracy, reliability in outlining substantial spatiotemporal variations of ET(o), with very well linearly correlation with the FAO56-PM and the least errors. The importance degree analysis of 13 models based on the random forest (RF) also depicted that Abtew (ET(o,6)) is the most reliable and robust model for ET(o) computation in different sub-regions. Validation of the optimal alternative produced the largest correlation coefficient of 0.989 between ET(o,s) and ET(o,6) and confirmed that Abtew (ET(o,6)) is the best suitable method for ET(o) calculation in Bangladesh. Nature Publishing Group UK 2020-11-19 /pmc/articles/PMC7678841/ /pubmed/33214603 http://dx.doi.org/10.1038/s41598-020-77183-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Salam, Roquia Islam, Abu Reza Md. Towfiqul Pham, Quoc Bao Dehghani, Majid Al-Ansari, Nadhir Linh, Nguyen Thi Thuy The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh |
title | The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh |
title_full | The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh |
title_fullStr | The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh |
title_full_unstemmed | The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh |
title_short | The optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of Bangladesh |
title_sort | optimal alternative for quantifying reference evapotranspiration in climatic sub-regions of bangladesh |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678841/ https://www.ncbi.nlm.nih.gov/pubmed/33214603 http://dx.doi.org/10.1038/s41598-020-77183-y |
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