Assessing bare-soil evaporation from different water-table depths using lysimeters and a numerical model in the Ordos Basin, China

Ma, Zhitong; Wang, Wenke; Zhang, Zaiyong; Brunner, Philip; Wang, Zhoufeng; Chen, Li; Zhao, Ming; Gong, Chengcheng

doi:10.1007/s10040-019-02012-0

Cited by 20 publications

(17 citation statements)

References 54 publications

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“…Compared to conventional methods of quantifying soil water evaporation, such as direct measurements with a dissolved oxygen meter (Annelie et al, 2021; Laura et al, 2021), the equation method (Lehmann et al, 2019), the position flux method (Tingting et al, 2021; Xing et al, 2019), and the numerical simulation method (Li & Shi, 2021; Ma et al, 2019), the C–G model theoretically applies to any soil water evaporation conditions. Previous studies by Wei and Yong et al (Wei et al, 2015; Yong et al, 2020) have also validated the use of the C–G model for quantifying soil moisture evaporation.…”

Section: Discussionmentioning

confidence: 99%

Using hydrogen and oxygen stable isotopes to estimate soil water evaporation loss under continuous evaporation conditions

Huo

Guo³

et al. 2023

Hydrological Processes

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The use of hydrogen and oxygen stable isotopes in estimating soil water evaporation loss under continuous evaporation conditions is crucial for gaining insight into soil water movement processes under different conditions. In this study, via highfrequency meteorological monitoring and continuous soil water measurements, we investigated the variation of hydrogen and oxygen stable isotopes and soil water fluxes with soil depth and time for soil water at different depths under continuous evaporation conditions. The precipitation isotope δ rain and soil water flux changes were determined using the Craig-Gordon model. It was shown that the isotopic fractionation of soil water in the surface layer 0-30 cm was dominated by a gaseousdominated transport process, and that both the δ 18 O and δD values and evaporative intensity decreased with increasing soil depth. In terms of time dynamics, the evaporation loss of soil water varies continuously with seasons and is the highest during summer. The use of δ 18 O to quantify the soil water evaporation loss provides greater accuracy than that provided by δD. The relative errors in the evaporation loss calculated based on δ 18 O and δD were 13% and 34%, respectively. A sensitivity analysis of each parameter indicated that the relative error calculated by the model is primarily determined by temperature and relative humidity uncertainty. The sensitivity analysis reveals the critical evaporation intensity of soil water at various depths from unsteady to steady state evaporation. When the relative humidity changes by 1%, the evaporation loss fraction changes from 0.001 to 0.034. The results of this study are important for quantifying the soil water resources in arid and semi-arid areas without precipitation using stable isotopes of hydrogen and oxygen.

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Section: Discussionmentioning

confidence: 99%

Using hydrogen and oxygen stable isotopes to estimate soil water evaporation loss under continuous evaporation conditions

Huo

Guo³

et al. 2023

Hydrological Processes

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“…Although the physical interpretation of this method is clear, the applicable conditions are relatively simple and differ significantly from the complex and variable natural conditions; however, the observation requirements for soil water potential are high, and the application of this method is thus limited. The numerical simulation method is based on a large amount of experimental data and combines the principles of ground energy balance and soil hydrodynamics to establish a model for simulating the soil water movement (Ma et al , 2019;Li and Shi, 2021). The limitation of this method is that more parameters are required for the calculation, and the uncertainty associated with the model is also high.…”

Section: The Accuracy Of the C-g Model In Quantifying Soil Evaporationmentioning

confidence: 99%

“…Currently, common methods for quantifying soil water evaporation include direct measurements using a lysimeter (Annelie et al , 2021;Laura et al , 2021), the formula method (Lehmannet al , 2019), location flux method (Xing et al , 2019;Tingting et al , 2021), and numerical simulations (Ma et al , 2019;Li and Shi, 2021). These methods are simple in application and differ greatly from the complex and variable natural conditions, and do not fully consider the vertical transport of water in the soil, which is not conducive to an in-depth understanding of the evaporation process and mechanism of soil water.…”

Section: Introductionmentioning

confidence: 99%

Using hydrogen and oxygen stable isotopes to estimate soil

Li¹,

Huo²

2022

Preprint

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The use of hydrogen and oxygen stable isotopes in estimating soil water evaporation loss under continuousevaporation conditions is crucial for gaining insight into soil water movement processes under different conditions. In this study, via high-frequency meteorological monitoring and continuous soil water measurements, we investigated the variation of hydrogen and oxygen stable isotopes and soil water fluxes with soil depth and time for soil water at different depths under continuous evaporation conditions. The precipitation isotope δ rain and soil water flux changes were determined using the Craig-Gordon model. It was shown that a gaseous-dominated transport process dominated the isotopic fractionation of soil water in the surface layer 0-30 cm, and that both the δ 18 O and δ 2 H values, and the evaporative intensity decreased with soil depth. In terms of time dynamics, the evaporation loss of soil water varies continuously with seasons and is the highest during summer. The use of δ 18 O to quantify the soil water evaporation loss provides a greater accuracy than that provided by δ 2 H. The relative errors in the evaporation loss calculated based on δ 18 O and δ 2 H were 13% and 34%, respectively. A sensitivity analysis of each parameter indicated that the relative error calculated by the model is primarily determined by temperature and relative humidity uncertainty. The sensitivity analysis reveals the critical evaporation intensity of soil water at various depths from unsteady to steady state evaporation. When the relative humidity changes by 1%, the evaporation loss fraction changes from 0.001 to 0.034. The results of this study are important for quantifying the soil water resources in arid and semi-arid areas without precipitation using stable isotopes of hydrogen and oxygen.

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“…The experimental site is in the hinterland of the Mu Us Desert, which is in arid and semiarid northern China. The site was established in 2004 to investigate the water movement through the subsurface and the transformation processes occurring in the profile (Ma et al., 2019). The landform is mainly stable or semistable dunes.…”

Section: Field Case Studymentioning

confidence: 99%

Inverse Estimation of Spatiotemporal Flux Boundary Conditions in Unsaturated Water Flow Modeling

Yue

Wang

et al. 2021

Water Resources Research

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Numerical simulation models of water flow in saturated-unsaturated soil systems are important tools for quantitatively understanding hydrological processes. Boundary conditions required in the simulation models play important roles for characterizing flow processes and hydrological fluxes. Whether a numerical scheme is feasible and reliable to describe soil-water problems lies in an appropriate procedure for the boundary conditions (van Dam & Feddes, 2000). Notably, for vadose zone characterization, many methods categorized as upscaling and downscaling techniques (see reviews by Vereecken et al. [2007] and Anderson et al. [2003]), forward and inverse modeling approaches (see reviews by Hopmans and Šimůnek [1999] and Vrugt et al. [2008]), practically depend on the nature of boundary conditions and are affected by the uncertainty associated with the boundary conditions, and thus their applicability and validation require appropriate determination of boundary conditions (Vereecken et al., 2008). This study focuses specially on soil surface flux-type boundary conditions, which are prevailing at moderate weather and soil wetness conditions (van Dam & Feddes, 2000) and depend on soil-plant-atmosphere interaction and are determined by several boundary fluxes, including evaporation, precipitation, irrigation, drainage, etc. Traditionally, these fluxes are derived by experimental measurements, analytical or numerical models based on water and energy balance. However, due to the variabilities in rainfall, wind, and moisture flux across a wide range of scales, the variability in agricultural management practices within and between individual fields, and the variability in the ecology of the land surface (Vereecken et al., 2007), these fluxes often vary spatiotemporally, making their measurements and determinations difficult, expensive and time

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Assessing bare-soil evaporation from different water-table depths using lysimeters and a numerical model in the Ordos Basin, China

Cited by 20 publications

References 54 publications

Using hydrogen and oxygen stable isotopes to estimate soil water evaporation loss under continuous evaporation conditions

Using hydrogen and oxygen stable isotopes to estimate soil water evaporation loss under continuous evaporation conditions

Using hydrogen and oxygen stable isotopes to estimate soil

Inverse Estimation of Spatiotemporal Flux Boundary Conditions in Unsaturated Water Flow Modeling

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