In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 3 ( 2022-3-15), p. e0265138-
Abstract:
Evapotranspiration (ET) plays a crucial role in hydrological and energy cycles, as well as in the assessments of water resources and irrigation demands. On a regional scale, particularly in the agro-pastoral ecotone, clarification of the distribution of surface ET and its influencing factors is critical for the rational use of water resources, restoration of the ecological environment, and protection of ecological water sources. The SEBAL model was used to invert the regional ET based on Landsat8 images in the agro-pastoral ecotone of northwest China. The results were indirectly verified by monitoring data from meteorological stations. The correlation between ET and surface parameters was analyzed. Thus, the main factors that affect the surface ET were identified. The results show that the SEBAL model determines an accurate inversion, with a correlation coefficient of 0.81 and an average root mean square error of 0.9 mm/d, which is highly suitable for research on water resources. The correlation coefficients of normalized vegetation index, surface temperature, land surface albedo, net radiation flux with daily ET were 0.5830, 0.8425, 0.3428 and 0.9111, respectively. The normalized vegetation index and the net radiation flux positively correlated with the daily ET, while the surface temperature and land surface albedo negatively correlated with the daily ET. The correlation from strong to weak is the net radiation flux 〉 surface temperature 〉 normalized vegetation index 〉 surface albedo. In terms of spatial distribution, the daily ET of water was the highest, followed by woodland, wetland, cropland, built-up land, shrub land, grassland and bare land. However, the SEBAL model overestimates the inversion of daily ET of built-up land.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0265138
DOI:
10.1371/journal.pone.0265138.g001
DOI:
10.1371/journal.pone.0265138.g002
DOI:
10.1371/journal.pone.0265138.g003
DOI:
10.1371/journal.pone.0265138.g004
DOI:
10.1371/journal.pone.0265138.g005
DOI:
10.1371/journal.pone.0265138.g006
DOI:
10.1371/journal.pone.0265138.g007
DOI:
10.1371/journal.pone.0265138.t001
DOI:
10.1371/journal.pone.0265138.t002
DOI:
10.1371/journal.pone.0265138.t003
DOI:
10.1371/journal.pone.0265138.t004
DOI:
10.1371/journal.pone.0265138.t005
DOI:
10.1371/journal.pone.0265138.s001
DOI:
10.1371/journal.pone.0265138.s002
DOI:
10.1371/journal.pone.0265138.s003
DOI:
10.1371/journal.pone.0265138.s004
DOI:
10.1371/journal.pone.0265138.s005
DOI:
10.1371/journal.pone.0265138.s006
DOI:
10.1371/journal.pone.0265138.r001
DOI:
10.1371/journal.pone.0265138.r002
DOI:
10.1371/journal.pone.0265138.r003
DOI:
10.1371/journal.pone.0265138.r004
DOI:
10.1371/journal.pone.0265138.r005
DOI:
10.1371/journal.pone.0265138.r006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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