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:	Hongbo Yu, Congming Cao, Qiaofeng Zhang, Yuhai Bao
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/83b35aabca894dbc97a56d5532c970a4
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spelling	oai:doaj.org-article:83b35aabca894dbc97a56d5532c970a42021-12-02T20:14:43ZConstruction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China.1932-620310.1371/journal.pone.0256981https://doaj.org/article/83b35aabca894dbc97a56d5532c970a42021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256981https://doaj.org/toc/1932-6203Surface 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.Hongbo YuCongming CaoQiaofeng ZhangYuhai BaoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 9, p e0256981 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hongbo Yu Congming Cao Qiaofeng Zhang Yuhai Bao Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China.
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.
format	article
author	Hongbo Yu Congming Cao Qiaofeng Zhang Yuhai Bao
author_facet	Hongbo Yu Congming Cao Qiaofeng Zhang Yuhai Bao
author_sort	Hongbo Yu
title	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_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_sort	construction of an evapotranspiration model and analysis of spatiotemporal variation in xilin river basin, china.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/83b35aabca894dbc97a56d5532c970a4
work_keys_str_mv	AT hongboyu constructionofanevapotranspirationmodelandanalysisofspatiotemporalvariationinxilinriverbasinchina AT congmingcao constructionofanevapotranspirationmodelandanalysisofspatiotemporalvariationinxilinriverbasinchina AT qiaofengzhang constructionofanevapotranspirationmodelandanalysisofspatiotemporalvariationinxilinriverbasinchina AT yuhaibao constructionofanevapotranspirationmodelandanalysisofspatiotemporalvariationinxilinriverbasinchina
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Construction of an evapotranspiration model and analysis of spatiotemporal variation in Xilin River Basin, China.

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