Next Article in Journal
The Influence of Hydrometeorological Conditions on Changes in Littoral and Riparian Vegetation of a Meromictic Lake in the Last Half-Century
Next Article in Special Issue
Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration
Previous Article in Journal
Documenting a Century of Coastline Change along Central California and Associated Challenges: From the Qualitative to the Quantitative
Previous Article in Special Issue
Measuring and Modelling Soil Evaporation in an Irrigated Olive Orchard to Improve Water Management
Open AccessArticle

Maize Evapotranspiration Estimation Using Penman-Monteith Equation and Modeling the Bulk Canopy Resistance

Colegio de Postgraduados, Carretera México-Texcoco Km. 36.5, Montecillo, Texcoco 56230, Mexico
*
Author to whom correspondence should be addressed.
Water 2019, 11(12), 2650; https://doi.org/10.3390/w11122650
Received: 5 November 2019 / Revised: 4 December 2019 / Accepted: 11 December 2019 / Published: 15 December 2019
(This article belongs to the Special Issue Evapotranspiration and Plant Irrigation Strategies)
Some techniques, such as the Katerji and Perrier approach, estimate the bulk canopy resistance (rc) as a function of meteorological variables and then calculate the hourly evapotranspiration using the Penman–Monteith equation, so that traditional crop coefficients are not needed. As far as we know, there are no published studies regarding using this method for a maize crop. The objective of this study was to calibrate and validate the canopy resistance for an irrigated continuous maize crop in the Midwestern United States (US). In addition, we determined the effect of derivation year, bowen ratio, and the extent of canopy. In this study we derive empirical coefficients necessary to estimate rc for maize, five years (2001–2005) were considered. A split-sample approach was taken, in which each year’s data was taken as a potential calibration data set and validation was accomplished while using the other four years of data. We grouped the data by green leaf area index (GLAI) and the Bowen ratio (β) by parsing the data into a 3 × 3 grouping: LAI (≥2, ≥3, and ≥4) and |β| (≤0.1, ≤0.2, and ≤0.3). The best fit data indicated reasonably good results for all nine groupings, so that the calibration coefficients derived for the conditions LAI ≥ 2 and |β| ≤ 0.3 were taken in light of the longer span associated with LAI ≥ 2 and the larger number of hours. For the calibrations in this subgroup, the results indicate that the annual empirical coefficients for rc are nearly the same and equally effective, regardless of the year used for calibration. Our validation included all the daytime hours regardless of β. Thus, it was concluded that the calibration at our site was independent of the derivation year. Knowledge of the Bowen ratio was useful in calibration, but accurate ET estimates (validation) can be obtained without knowledge of the Bowen ratio. Validation resulted in hourly ET estimates for irrigated maize that explained 83% to 86% of the variation in measured ET with an accuracy of ± 0.2 mm. View Full-Text
Keywords: evapotranspiration; bulk canopy resistance; eddy covariance; Ithaca; NE evapotranspiration; bulk canopy resistance; eddy covariance; Ithaca; NE
Show Figures

Figure 1

MDPI and ACS Style

Meraz-Maldonado, N.; Flores-Magdaleno, H. Maize Evapotranspiration Estimation Using Penman-Monteith Equation and Modeling the Bulk Canopy Resistance. Water 2019, 11, 2650.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop