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Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China

Surface evapotranspiration is a water exchange process between the atmosphere, biosphere, and hydrosphere. Accurate evapotranspiration estimations in arid and semi-arid regions are important for monitoring droughts and protecting the ecological environment. The main objective of this study is to bui...

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Autores principales: Yu, Hongbo, Cao, Congming, Zhang, Qiaofeng, Bao, Yuhai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432748/
https://www.ncbi.nlm.nih.gov/pubmed/34506534
http://dx.doi.org/10.1371/journal.pone.0256981
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author Yu, Hongbo
Cao, Congming
Zhang, Qiaofeng
Bao, Yuhai
author_facet Yu, Hongbo
Cao, Congming
Zhang, Qiaofeng
Bao, Yuhai
author_sort Yu, Hongbo
collection PubMed
description Surface evapotranspiration is a water exchange process between the atmosphere, biosphere, and hydrosphere. Accurate evapotranspiration estimations in arid and semi-arid regions are important for monitoring droughts and protecting the ecological environment. The main objective of this study is to build an evapotranspiration estimation model suitable for an effective scientific and objective evaluation of water consumption in the arid and semi-arid regions of the Xilin River Basin based on comprehensive parameters, including meteorological parameters, vegetation coverage, and soil water content. In this study, the community evapotranspiration model was initially constructed using field data, which was then expanded for applicability to the Xilin River Basin based on Geographic Information System technology and spatial heterogeneity characteristics of remote sensing data; both models were significant at the 0.05 level. The monthly evapotranspiration values in July during 2000–2017 and those from April to September (growing season) during the dry, normal, and wet years were calculated using the model at the basin scale. The evapotranspiration showed a generally increasing trend, which was consistent with the fluctuation trend in precipitation in July during 2000–2017. The trend curve for evapotranspiration was gentle during the growing season in dry years, but steep during wet years. The evapotranspiration was the lowest in April, with negligible spatial variations throughout the Xilin River Basin. During May–July, the evapotranspiration was higher than that in other months, in the following order: upper reaches > middle reaches > lower reaches; this was consistent with the vegetation coverage. The evapotranspiration declined and spatial variations were not evident during August–September. The results of this study provide a reference for evapotranspiration model construction and a scientific basis for evaluating regional water resources and protecting the ecological environment.
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spelling pubmed-84327482021-09-11 Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China Yu, Hongbo Cao, Congming Zhang, Qiaofeng Bao, Yuhai PLoS One Research Article Surface evapotranspiration is a water exchange process between the atmosphere, biosphere, and hydrosphere. Accurate evapotranspiration estimations in arid and semi-arid regions are important for monitoring droughts and protecting the ecological environment. The main objective of this study is to build an evapotranspiration estimation model suitable for an effective scientific and objective evaluation of water consumption in the arid and semi-arid regions of the Xilin River Basin based on comprehensive parameters, including meteorological parameters, vegetation coverage, and soil water content. In this study, the community evapotranspiration model was initially constructed using field data, which was then expanded for applicability to the Xilin River Basin based on Geographic Information System technology and spatial heterogeneity characteristics of remote sensing data; both models were significant at the 0.05 level. The monthly evapotranspiration values in July during 2000–2017 and those from April to September (growing season) during the dry, normal, and wet years were calculated using the model at the basin scale. The evapotranspiration showed a generally increasing trend, which was consistent with the fluctuation trend in precipitation in July during 2000–2017. The trend curve for evapotranspiration was gentle during the growing season in dry years, but steep during wet years. The evapotranspiration was the lowest in April, with negligible spatial variations throughout the Xilin River Basin. During May–July, the evapotranspiration was higher than that in other months, in the following order: upper reaches > middle reaches > lower reaches; this was consistent with the vegetation coverage. The evapotranspiration declined and spatial variations were not evident during August–September. The results of this study provide a reference for evapotranspiration model construction and a scientific basis for evaluating regional water resources and protecting the ecological environment. Public Library of Science 2021-09-10 /pmc/articles/PMC8432748/ /pubmed/34506534 http://dx.doi.org/10.1371/journal.pone.0256981 Text en © 2021 Yu 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
Yu, Hongbo
Cao, Congming
Zhang, Qiaofeng
Bao, Yuhai
Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
title Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
title_full Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
title_fullStr Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
title_full_unstemmed Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
title_short Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China
title_sort construction of an evapotranspiration model and analysis of spatiotemporal variation in xilin river basin, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432748/
https://www.ncbi.nlm.nih.gov/pubmed/34506534
http://dx.doi.org/10.1371/journal.pone.0256981
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