Estimating Evaporation from Bare or Nearly Bare Soil

Snyder, Richard L.; Bali, Khaled M.; Ventura, Francesc; Gómez‐Macpherson, Helena

doi:10.1061/(asce)0733-9437(2000)126:6(399)

Cited by 46 publications

(36 citation statements)

References 8 publications

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“…Several semi empirical and empirical relationships for E have been developed, but they are very site specific (e.g., nontransferable). One such method presented in Stroonsnjider (1987), Gallardo et al (1996), and Snyder et al (2000) is a variation on the classic two-stage evaporation model presented by Ritchie (1972). In both methods, Stage 1 evaporation from the soil is limited only by the energy input.…”

Section: Semiempirical and Empirical Methodsmentioning

confidence: 99%

Evaporation Research: Review and Interpretation

Burt

Mutziger

Allen

et al. 2005

J. Irrig. Drain Eng.

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Literature regarding evaporation from soil, wet plant surfaces, and sprinkler droplets was examined, normalized, and inter preted. Much of the evaporation literature is difficult to compare and interpret; this paper offers comparisons and discussions of various findings by others as well as by the writers. Techniques of measuring and estimating evaporation from irrigation and rainfall are discussed. The partitioning between increased evaporation and decreased transpiration from a variety of research is quantified. Factors that impact the various forms of evaporation are listed and quantified. This review and summary will provide practitioners and researchers with theoretical and practical guidance on measurement techniques and estimates of evaporation under a wide range of conditions.

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Section: Semiempirical and Empirical Methodsmentioning

confidence: 99%

Evaporation Research: Review and Interpretation

Burt

Mutziger

Allen

et al. 2005

J. Irrig. Drain Eng.

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show abstract

“…and the vegetation dynamic itself (Lee and Pielke, 1992;Parlange and Katul, 1992;Walker and Langridge, 1996;Alvenäs and Jansson, 1997;Snyder et al, 2000;Aydin et al, 2005). Several models for specific vegetation physiological processes have been developed at plant or vegetation plot scale.…”

Section: Introductionmentioning

confidence: 99%

A conceptual dynamic vegetation-soil model for arid and semiarid zones

Quevedo

Francés

2008

Hydrol. Earth Syst. Sci.

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Abstract. Plant ecosystems in arid and semiarid climates show high complexity, since they depend on water availability to carry out their vital processes. In these climates, water stress is the main factor controlling vegetation development and its dynamic evolution.The available water-soil content results from the water balance in the system, where the key issues are the soil, the vegetation and the atmosphere. However, it is the vegetation, which modulates, to a great extent, the water fluxes and the feedback mechanisms between soil and atmosphere. Thus, soil moisture content is most relevant for plant growth maintenance and final water balance assessment.A conceptual dynamic vegetation-soil model (called HO-RAS) for arid and semi-arid zones has been developed. This conceptual model, based on a series of connected tanks, represents in a way suitable for a Mediterranean climate, the vegetation response to soil moisture fluctuations and the actual leaf biomass influence on soil water availability and evapotranspiration. Two tanks were considered using at each of them the water balance and the appropriate dynamic equation for all considered fluxes. The first one corresponds to the interception process, whereas the second one models the evolution of moisture by the upper soil. The model parameters were based on soil and vegetation properties, but reduced their numbers.Simulations for dominant species, Quercus coccifera L., were carried out to calibrate and validate the model. Our results show that HORAS succeeded in representing the vegetation dynamics and, on the one hand, reflects how following a fire this monoculture stabilizes after 9 years. On the other hand, the model shows the adaptation of the vegetation to the variability of climatic and soil conditions, demonstrating that in the presence or shortage of water, the vegetation regulatesCorrespondence to: D. I. Quevedo (diaquete@doctor.upv.es) its leaf biomass as well as its rate of transpiration in an attempt to minimize total water stress.

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“…When the soil surface was wet following irrigation or rainfall and during early periods after irrigation, E p was estimated according to Snyder et al (2000), and T p was then obtained by subtracting E p from ET c . Deb et al (2011) found that during dry soil conditions, the contribution of the total upward water vapor flux to the total water flux near the soil surface at this onion field was approximately 10%.…”

Section: Field Measurements and Model Input Requirementsmentioning

confidence: 99%

Numerical Evaluation of Nitrate Distributions in the Onion Root Zone under Conventional Furrow Fertigation

et al. 2016

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HYDRUS (2D/3D) model was used to simulate spatial and temporal distributions of nitrate-nitrogen (NO 3 -N) within and below the onion root zone under conventional furrow fertigation with the urea-ammonium-nitrate (UAN) liquid fertilizer. The simulated water contents in the furrow irrigated onion field agreed well with the measurements. Simulations produced similar patterns of the measured NO 3 -N concentration profiles throughout the growing season. NO 3 -N concentrations remained higher and accumulation of NO 3 -N was observed within the root zone. Higher NO 3 -N within the root zone was dependent on the rate of the UAN fertilizer application, quantity of NO 3 -N removed by root uptake, and NO 3 -N drainage fluxes below the root zone. Simulations also suggested that NO 3 -N below the root zone during different growth stages remained much higher than a recommended (for drinking water) standard concentration level (10 mg L −1 ). This resulted in higher NO 3 -N drainage fluxes, particularly during the fertigation events between the establishment and vegetative growth stages. This indicates the need to apply most fertigation events at an early stage of bulb formation to provide the maximum NO 3 -N demands by onions and to reduce potential NO 3 -N leaching.

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Estimating Evaporation from Bare or Nearly Bare Soil

Cited by 46 publications

References 8 publications

Evaporation Research: Review and Interpretation

Evaporation Research: Review and Interpretation

A conceptual dynamic vegetation-soil model for arid and semiarid zones

Numerical Evaluation of Nitrate Distributions in the Onion Root Zone under Conventional Furrow Fertigation

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