Thornthwaite and mather soil water balance model adapted for estimation of real evapotranspiration of the pasture

Determining the real water requirement for pastures is essential for the rational use of irrigation. The aim of this work was to assess the crop coefficient and performance of the Thornthwaite and Mather soil water balance (ThM) adapted to estimate the daily actual evapotranspiration (ETa) of a pasture in relation to the Bowen ratio - energy balance method (BREB). The experiment was carried out from July 2018 to June 2019 in Cachoeiras de Macacu, Rio de Janeiro State (RJ) (22º 27’S; 42º 45’W and 30 m altitude). Micrometeorological and meteorological measurements were conducted in a micrometeorological tower installed in the pasture and also in an automatic weather station, located 1 km from the pasture area. The ThM model was evaluated using linear regression between ETa determinate from BREB and the estimates from ThM using its coefficient of determination (R²) and the modified Willmott agreement index (dm). The ThM model underestimated (between 11 and 16%) the ETa for all seasons, except for spring, which overestimated by 1%. The highest precision and accuracy of the estimates were observed in autumn (R² = 0.84 and dm = 0.68) and spring (R² = 0.83 and dm = 0.82). In summer (R² = 0.56 and dm = 0.73) and winter (R² = 0.43 and dm = 0.66), the lower performance was caused by the inability of the model to represent water extraction from the soil in dry periods.

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A soil water balance model for a rain-fed vineyard in a micro catchment based on dual crop coefficient

Archives of Agronomy and Soil Science ◽

10.1080/03650340802382215 ◽

2009 ◽

Vol 55 (1) ◽

pp. 67-77 ◽

Cited By ~ 4

Author(s):

Hamid Reza Fooladmand ◽

Ali Reza Sepaskhah

Keyword(s):

Water Balance ◽

Soil Water ◽

Crop Coefficient ◽

Water Balance Model ◽

Soil Water Balance ◽

Balance Model

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Calibration and performance of the single‐layer soil water balance model for pasture sites

New Zealand Journal of Agricultural Research ◽

10.1080/00288233.1994.9513047 ◽

1994 ◽

Vol 37 (1) ◽

pp. 107-118 ◽

Cited By ~ 15

Author(s):

A. S. Porteous ◽

R. E. Basher ◽

M. J. Salinger

Keyword(s):

Water Balance ◽

Soil Water ◽

Single Layer ◽

Water Balance Model ◽

Soil Water Balance ◽

Balance Model ◽

And Performance

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Actual Evapotranspiration for Sugarcane Based on Bowen Ratio-Energy Balance and Soil Water Balance Models with Optimized Crop Coefficients.

10.21203/rs.3.rs-713077/v1 ◽

2021 ◽

Author(s):

Suelen da Costa Faria Martins ◽

Marcos Alex dos Santos ◽

Gustavo Bastos Lyra ◽

José Leonaldo Souza ◽

Guilherme Bastos Lyra ◽

...

Keyword(s):

Energy Balance ◽

Water Balance ◽

Soil Water ◽

Bowen Ratio ◽

Balance Method ◽

Northeastern Brazil ◽

Soil Water Balance ◽

Actual Evapotranspiration ◽

Crop Coefficients ◽

Ratio Energy

Abstract Evapotranspiration is an important parameter to evaluate soil water deficit and water use efficiency, especially at places with irregularly distributed precipitation.The aim of this study was to assess the daily actual evapotranspiration (ETa) estimated by the Thornthwaite and Mather soil water balance method adapted for crops (ThM) and by the dual Kc approach with the crop coefficients optimized from inversing modeling and by the adjustment procedure suggested in FAO-56. The models comparison and optimization were performed with actual evapotranspiration determined by the Bowen ratio – energy balance method (ETβ) for sugarcane at full canopy closure grown in Alagoas State, Northeastern Brazil. The objective function of the inverse problem was defined in terms of ETβ and ETa estimated by the ThM and dual Kc method by optimizing single crop coefficient (Kc) and the basal coefficient Kcb, respectively. Both optimized Kcand Kcbwere lower than the adjusted KcFAO56, with optimized Kconly 3% less than the Kc obtained experimentally. ETa estimated by ThM and dual Kc models with optimized crop coefficients (Kc = 1.05 or Kcb = 1.00) had similar high precision (r² >0.79) and accuracy (dm>0.93 and RMSE < 0.30 mm d-1), whereas using the coefficients derived from FAO 56 overestimated ETa in both models.

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A Coupled Soil Water Balance Model for Simulating Depression-Focused Groundwater Recharge

Vadose Zone Journal ◽

10.2136/vzj2017.10.0176 ◽

2018 ◽

Vol 17 (1) ◽

pp. 170176 ◽

Cited By ~ 4

Author(s):

Saskia L. Noorduijn ◽

Masaki Hayashi ◽

Getachew A. Mohammed ◽

Aaron A. Mohammed

Keyword(s):

Water Balance ◽

Groundwater Recharge ◽

Soil Water ◽

Water Balance Model ◽

Soil Water Balance ◽

Balance Model

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High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model

Remote Sensing ◽

10.3390/rs10111682 ◽

2018 ◽

Vol 10 (11) ◽

pp. 1682 ◽

Cited By ~ 13

Author(s):

Kelly Thorp ◽

Alison Thompson ◽

Sara Harders ◽

Andrew French ◽

Richard Ward

Keyword(s):

Water Balance ◽

Water Use Efficiency ◽

Soil Water ◽

Water Use ◽

High Throughput ◽

Soil Water Balance ◽

Balance Model ◽

Crop Water ◽

Crop Water Use ◽

Use Efficiency

Improvement of crop water use efficiency (CWUE), defined as crop yield per volume of water used, is an important goal for both crop management and breeding. While many technologies have been developed for measuring crop water use in crop management studies, rarely have these techniques been applied at the scale of breeding plots. The objective was to develop a high-throughput methodology for quantifying water use in a cotton breeding trial at Maricopa, AZ, USA in 2016 and 2017, using evapotranspiration (ET) measurements from a co-located irrigation management trial to evaluate the approach. Approximately weekly overflights with an unmanned aerial system provided multispectral imagery from which plot-level fractional vegetation cover ( f c ) was computed. The f c data were used to drive a daily ET-based soil water balance model for seasonal crop water use quantification. A mixed model statistical analysis demonstrated that differences in ET and CWUE could be discriminated among eight cotton varieties ( p < 0 . 05 ), which were sown at two planting dates and managed with four irrigation levels. The results permitted breeders to identify cotton varieties with more favorable water use characteristics and higher CWUE, indicating that the methodology could become a useful tool for breeding selection.

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