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The Spatial and Temporal Variability of Soil-Water Evaporation as Influenced by Near-Surface Soil Porosities

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Publicado en:Agronomy vol. 15, no. 11 (2025), p. 2654-2669
Autor principal: Li Lijie
Otros Autores: Lu, Yili, Liu, Lin, Xie Xiaoting
Publicado:
MDPI AG
Materias:
China
Soil temperature
Sandy soils
Comparative analysis
Soil properties
Thermodynamic properties
Water
Thermal properties
Soil water
Radiation
Soil layers
Heat pulses
Evaporation rate
Porosity
Evaporation
Precipitation
Moisture content
Experiments
Sensors
Plot (Narrative)
Soil porosity
Soil analysis
Pore size
Soil surfaces
Sandy loam
Acceso en línea:Citation/Abstract
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Resumen:Soil water evaporation rate (E) exhibits significant spatial and temporal variability under field conditions. Some studies demonstrated the influence of porosity (n) on soil-water evaporation processes. Still, the specific mechanisms for n affecting the spatial and temporal variability of E under transient field conditions remain poorly understood. This study addresses this research gap through continuous, high-frequency, millimeter-scale observations of soil temperature, thermal properties, and E dynamics in bare loamy sand and sandy loam soils. Using 11-needle heat pulse sensors, we monitored E on two experimental subplots with high n (H plot) and low n (L plot) treatments. During the observation period, soil evaporation primarily occurred within the 0–21 mm layer in the H plot and 0–15 mm layer in the L plot. Comparative analysis revealed distinct temporal dynamics and spatial progression patterns of E between two plots, despite a 7% n difference in Experiment 1 (n = 0.52 vs. 0.56) and 8% in Experiment 2 (n = 0.47 vs. 0.51). Specifically, in the H plot, the daily peak E consistently occurred earlier and exhibited greater magnitude across all depth increments compared to the L plot. Additionally, the evaporation process persisted longer within each depth increment of the L plot before transitioning to deeper soil layers. Quantitative analysis demonstrated that a 7% increase in n corresponded to an 18% increase in cumulative E. These findings emphasize the importance of considering n variations for accurately modelling and interpreting broader hydrologic and environmental processes.
ISSN:2073-4395
DOI:10.3390/agronomy15112654
Fuente:Agriculture Science Database