Numerical assessment of effective evapotranspiration from maize plots to estimate groundwater recharge in lowlands

Mastrocicco, Micòl; Colombani, Nicolò; Salemi, Enzo; Castaldelli, Giuseppe

doi:10.1016/j.agwat.2010.04.005

Cited by 39 publications

(28 citation statements)

References 23 publications

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“…Due to the thick unsaturated zone, long-term measurement is required to estimate deep drainage of soil water in the BJD, which has been used in other arid regions (Gee et al, 2005;Scanlon et al, 2005). An effective approach for the estimation is to set up a numerical model of soil water movement on the basis of field observations (Mastrocicco et al, 2010). Since movements of soil moisture and heat transport are coupled together, both processes should be considered in the modeling simulation.…”

Section: (Figure 1)mentioning

confidence: 99%

Experimental and numerical investigations of soil water balance at the hinterland of the Badain Jaran Desert for groundwater recharge estimation

Hou

Wang

et al. 2016

Journal of Hydrology

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Section: (Figure 1)mentioning

confidence: 99%

Experimental and numerical investigations of soil water balance at the hinterland of the Badain Jaran Desert for groundwater recharge estimation

Hou

Wang

et al. 2016

Journal of Hydrology

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“…At present, there are two methods of water balance analysis: a water-balance model based on mass conservation [2,4,15,[29][30][31][32], and a hydrodynamic model based on the Richards equation [5,19,[33][34][35]. Comparatively, water-balance model containing fewer parameters is easier to use.…”

Section: Introductionmentioning

confidence: 98%

Water balance and migration for maize in an oasis farmland of northwest China

Zhao

2014

Chin. Sci. Bull.

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Water balance and migration characteristics are vital to the establishment of an efficient irrigation management system. Based on the observed data including microclimate and growing parameters of maize from 2009 to 2012, actual evapotranspiration during the growth period was estimated by a combination of the FAO-56 crop coefficient approach and the Penman-Monteith model; the changes in soil water storage were estimated through the monitored water content at different depths from 0 to 3 m; the water content monitoring zone was divided into three sub-zones according to the water-balance characteristics of different soil layers and water monitoring data. On these bases, in combination of water-balance model, three aspects were analyzed: water-balance characteristics at different growth stages; water-balance characteristics in the three different sub-zones; and water-migration characteristics of ten sunny days following irrigation. These analyses revealed severe deep leakage under present irrigation management, which could be remedied by limiting onetime irrigation practices and increasing irrigation frequency. Additionally, some practical suggestions are provided for different growing stages.

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“…Further evaluation confirms that different ET methods can significantly affect the performance of LSMs (Anothai et al, 2013;Chen et al, 2013;Federer et al, 1996;Kemp et al, 1997;Mastrocicco et al, 2010). Vörösmarty et al (1998) made a comparison between reference surface and surface cover-dependent potential ET (PETr and PETs, respectively) methods in a global-scale water balance model (WBM) and concluded that WBM simulations were highly sensitive to the PET method used and that the PET method would produce quite reasonable estimates of actual ET over a broad geographic domain.…”

Section: Introductionmentioning

confidence: 97%

“…Vörösmarty et al (1998) made a comparison between reference surface and surface cover-dependent potential ET (PETr and PETs, respectively) methods in a global-scale water balance model (WBM) and concluded that WBM simulations were highly sensitive to the PET method used and that the PET method would produce quite reasonable estimates of actual ET over a broad geographic domain. Recent assessment of the HYDRUS-1D model with different ET methods indicated that using the PM equation gave a better model performance in simulating soil water content (Mastrocicco et al, 2010). However, most of this research only evaluates model performance for an individual variable (e.g., soil water content or ET) or neglects the heat or vapor transport effect (Anothai et al, 2013;Kemp et al, 1997;Vörösmarty et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

Zeng

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. Different methods for assessing evapotranspiration (ET) can significantly affect the performance of land surface models in portraying soil water dynamics and ET partitioning. An accurate understanding of the impact a method has is crucial to determining the effectiveness of an irrigation scheme. Two ET methods are discussed: one is based on reference crop evapotranspiration (ET 0 ) theory, uses leaf area index (LAI) for partitioning into soil evaporation and transpiration, and is denoted as the ET ind method; the other is a one-step calculation of actual soil evaporation and potential transpiration by incorporating canopy minimum resistance and actual soil resistance into the Penman-Monteith model, and is denoted as the ET dir method. In this study, a soil water model, considering the coupled transfer of water, vapor, and heat in the soil, was used to investigate how different ET methods could affect the calculation of the soil water dynamics and ET partitioning in a crop field. Results indicate that for two different ET methods this model varied concerning the simulation of soil water content and crop evapotranspiration components, but the simulation of soil temperature agreed well with lysimeter observations, considering aerodynamic and surface resistance terms improved the ET dir method regarding simulating soil evaporation, especially after irrigation. Furthermore, the results of different crop growth scenarios indicate that the uncertainty in LAI played an important role in estimating the relative transpiration and evaporation fraction. The impact of maximum rooting depth and root growth rate on calculating ET components might increase in drying soil. The influence of maximum rooting depth was larger late in the growing season, while the influence of root growth rate dominated early in the growing season.

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Numerical assessment of effective evapotranspiration from maize plots to estimate groundwater recharge in lowlands

Cited by 39 publications

References 23 publications

Experimental and numerical investigations of soil water balance at the hinterland of the Badain Jaran Desert for groundwater recharge estimation

Experimental and numerical investigations of soil water balance at the hinterland of the Badain Jaran Desert for groundwater recharge estimation

Water balance and migration for maize in an oasis farmland of northwest China

The effect of different evapotranspiration methods on portraying soil water dynamics and ET partitioning in a semi-arid environment in Northwest China

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