Using Inverse Modeling by HYDRUS-1D to Predict Some Soil Hydraulic Parameters from Soil Water Evaporation

Mohammed, Esam Mahmoud; AL-Qassab, Salahaldeen Abid-Alziz; AL-Wazan, Faris Akram Salih

doi:10.14483/2256201x.18157

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…In this sense, the simulated values of soil hydraulic parameters such as it θ were close to the measured ones. The above shows the capability of the HYDRUS-1D software to simulate field conditions, even under agroforestry systems [92]. Moreover, this method and the goodness of fit produced the smallest variations, thus obtaining a great prediction [93,94].…”

Section: Hydrus-1d Calibration and Validation Modelmentioning

confidence: 80%

Water Flow in the Soil Profile Under an Agroforestry System in the Colombian Amazon Based on HYDRUS-1D Model

Buriticá,

Suárez,

Ortiz-Morea

2023

Preprint

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Knowledge of water availability in terms of spatial (i.e., depth) and temporal variability of soil water is essential to describe soil water infiltration and storage processes accurately. Therefore, performing simulations of soil water dynamics can be a valuable tool to evaluate different land uses and their impact on water availability. Consequently, this study aimed to model the volumetric soil water content (θ, cm3 cm-3) under agroforestry systems (AFS) with cocoa. For this purpose, the θ was monitored at different depths (0-20, 20-40, 40-60, 60-80, 80-100 cm) in the soil profile of four plots (20 × 50 m) of cocoa under agroforestry systems. Environmental conditions significantly influenced the water balance of the cocoa crop. There were seven moments when evapotranspiration (ET0) was higher than 5 mm d-1. During those moments, the environment exhibited higher PAR values of 1041 µmol m-2 s-1, very low atmospheric relative humidity (RHa) levels (around 45%), higher ambient temperatures of 32.2 ºC and a vapor pressure deficit of 1.6 kPa whose θ levels reached 0.32 cm3 cm-3 and a water balance of -5.7 mm, which presented negative values during most of the study period. The θ obtained from the HYDRUS-1D model presented a slight bias as a high level of coherence between the observed values, based on the model's goodness-of-fit estimators. The above provides accurate simulations of soil water content at various depths, much-needed information for management schemes for cocoa cultivation under agroforestry systems.

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Section: Hydrus-1d Calibration and Validation Modelmentioning

confidence: 80%