Back to Search
Start Over
Comparison of an improved Penman-Monteith model and SWH model for estimating evapotranspiration in a meadow wetland in a semiarid region.
- Source :
-
The Science of the total environment [Sci Total Environ] 2021 Nov 15; Vol. 795, pp. 148736. Date of Electronic Publication: 2021 Jun 28. - Publication Year :
- 2021
-
Abstract
- Accurately estimating evapotranspiration (ET) for meadow wetland ecosystems is of great significance for water management in semiarid regions. Taking a meadow wetland ecosystem in the Horqin Sandy Land as an example, this study coupled the Ball-Berry canopy stomatal conductance model to Penman-Monteith (P-M) model and Shuttleworth-Wallace (S-W) model, and the improved P-M model and SWH model were calibrated and validated by long-term (2013-2018 growing seasons) eddy covariance (EC) measurements. The results indicated that the improved P-M model and SWH model performed well either at half-hourly or daily timescales, with high coefficient of determination (R <superscript>2</superscript> ) and index of agreement (IA) and low root mean square error (RMSE). Generally, the SWH model performed better than the improved P-M model, especially under the low leaf area index (LAI) conditions. In addition, in the growing seasons from 2013 to 2018, the mean ET measured by the EC system was 2.78 mm/d, which was approximately equal to the mean modeled ET from the SWH model (2.75 mm/d) and slightly higher than the mean modeled ET from the improved P-M model (2.34 mm/d). The improved P-M model and SWH model were highly sensitive to the parameter in estimating canopy surface resistance and to vapor pressure deficit (VPD) in meteorological variables.<br />Competing Interests: Declaration of competing interest The authors declare no conflicts of interest.<br /> (Copyright © 2021 Elsevier B.V. All rights reserved.)
- Subjects :
- Grassland
Water
Wetlands
Ecosystem
Plant Transpiration
Subjects
Details
- Language :
- English
- ISSN :
- 1879-1026
- Volume :
- 795
- Database :
- MEDLINE
- Journal :
- The Science of the total environment
- Publication Type :
- Academic Journal
- Accession number :
- 34247070
- Full Text :
- https://doi.org/10.1016/j.scitotenv.2021.148736