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The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China

The accurate prediction of reference crop evapotranspiration is of great significance to climate research and regional agricultural water management. In order to realize the high-precision prediction of ET(O) in the absence of meteorological data, this study use XGBoost to select key influencing fac...

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Detalles Bibliográficos
Autores principales: Zhao, Zhenhua, Feng, Guohua, Zhang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191727/
https://www.ncbi.nlm.nih.gov/pubmed/35696403
http://dx.doi.org/10.1371/journal.pone.0269746
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author Zhao, Zhenhua
Feng, Guohua
Zhang, Jing
author_facet Zhao, Zhenhua
Feng, Guohua
Zhang, Jing
author_sort Zhao, Zhenhua
collection PubMed
description The accurate prediction of reference crop evapotranspiration is of great significance to climate research and regional agricultural water management. In order to realize the high-precision prediction of ET(O) in the absence of meteorological data, this study use XGBoost to select key influencing factors and BP algorithm to construct ET(O) prediction model of 12 meteorological stations in South West China in this study. ACO, CSO and CS algorithms are used to optimize the model and improve the adaptability of the model. The results show that T(max), n and Ra can be used as the input combination of ET(O) model construction, and T(max) is the primary factor affecting ET(O). ET(O) model constructed by BP algorithm has good goodness of fit with the ET(O) calculated by FAO-56 PM and ACO, CSO and CS have significant optimization effect on BP algorithm, among which CSO algorithm has the best optimization ability on BP, with RMSE, R(2), MAE, NSE, GPI ranging 0.200–0.377, 0.932–0.984, 0.140–0.261, 0.920–0.984, 1.472–2.000, GPI ranking is 1–23. Therefore, the input combination (T(max), n and Ra) and CSO-BP model are recommended as a simplified model for ET(O) prediction in Southwest China.
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spelling pubmed-91917272022-06-14 The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China Zhao, Zhenhua Feng, Guohua Zhang, Jing PLoS One Research Article The accurate prediction of reference crop evapotranspiration is of great significance to climate research and regional agricultural water management. In order to realize the high-precision prediction of ET(O) in the absence of meteorological data, this study use XGBoost to select key influencing factors and BP algorithm to construct ET(O) prediction model of 12 meteorological stations in South West China in this study. ACO, CSO and CS algorithms are used to optimize the model and improve the adaptability of the model. The results show that T(max), n and Ra can be used as the input combination of ET(O) model construction, and T(max) is the primary factor affecting ET(O). ET(O) model constructed by BP algorithm has good goodness of fit with the ET(O) calculated by FAO-56 PM and ACO, CSO and CS have significant optimization effect on BP algorithm, among which CSO algorithm has the best optimization ability on BP, with RMSE, R(2), MAE, NSE, GPI ranging 0.200–0.377, 0.932–0.984, 0.140–0.261, 0.920–0.984, 1.472–2.000, GPI ranking is 1–23. Therefore, the input combination (T(max), n and Ra) and CSO-BP model are recommended as a simplified model for ET(O) prediction in Southwest China. Public Library of Science 2022-06-13 /pmc/articles/PMC9191727/ /pubmed/35696403 http://dx.doi.org/10.1371/journal.pone.0269746 Text en © 2022 Zhao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhao, Zhenhua
Feng, Guohua
Zhang, Jing
The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China
title The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China
title_full The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China
title_fullStr The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China
title_full_unstemmed The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China
title_short The simplified hybrid model based on BP to predict the reference crop evapotranspiration in Southwest China
title_sort simplified hybrid model based on bp to predict the reference crop evapotranspiration in southwest china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191727/
https://www.ncbi.nlm.nih.gov/pubmed/35696403
http://dx.doi.org/10.1371/journal.pone.0269746
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