Assessing the Performance of Thermal Inertia and Hydrus Models to Estimate Surface Soil Water Content

被引:13
|
作者
Negm, Amro [1 ,2 ]
Capodici, Fulvio [3 ]
Ciraolo, Giuseppe [3 ]
Maltese, Antonino [3 ]
Provenzano, Giuseppe [1 ]
Rallo, Giovanni [4 ]
机构
[1] Univ Palermo, Dipartimento Sci Agr Alimentari & Forestali, Viale Sci Bld 4, I-90128 Palermo, Italy
[2] Univ Calgary, Dept Geosci Earth Sci, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
[3] Univ Palermo, Dipartimento Ingn Civile Ambientale Aerosp & Mat, Viale Sci Bld 8, I-90128 Palermo, Italy
[4] Univ Pisa, Dipartimento Sci Agr Alimentari & Agroambientali, Via Borghetto 80, I-56124 Pisa, Italy
来源
APPLIED SCIENCES-BASEL | 2017年 / 7卷 / 10期
关键词
soil water content; soil thermal inertia; Hydrus numerical model; sparse vegetation; HYDRAULIC CONDUCTIVITY; EVAPOTRANSPIRATION; SIMULATION; EQUATION; VOLUME; FLOW;
D O I
10.3390/app7100975
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The knowledge of soil water content (SWC) dynamics in the upper soil layer is important for several hydrological processes. Due to the difficulty of assessing the spatial and temporal SWC dynamics in the field, some model-based approaches have been proposed during the last decade. The main objective of this work was to assess the performance of two approaches to estimate SWC in the upper soil layer under field conditions: the physically-based thermal inertia and the Hydrus model. Their validity was firstly assessed under controlled laboratory conditions. Thermal inertia was firstly validated in laboratory conditions using the transient line heat source (TLHS) method. Then, it was applied in situ to analyze the dynamics of soil thermal properties under two extreme conditions of soil-water status (well-watered and air-dry), using proximity remote-sensed data. The model performance was assessed using sensor-based measurements of soil water content acquired through frequency (FDR) and time domain reflectometry (TDR). During the laboratory experiment, the Root Mean Square Error (RMSE) was 0.02 m(3) m(-3) for the Hydrus model and 0.05 m(3) m(- 3) for the TLHS model approach. On the other hand, during the in situ experiment, the temporal variability of SWCs simulated by the Hydrus model and the corresponding values measured by the TDR method evidenced good agreement (RMSE ranging between 0.01 and 0.005 m(3) m(-3)). Similarly, the average of the SWCs derived from the thermal diffusion model was fairly close to those estimated by Hydrus (spatially averaged RMSE ranging between 0.03 and 0.02 m(3) m(-3)).
引用
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页数:16
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