Multi‐model simulation and evaluation of soil moisture characteristic curves in artificial apricot orchards based on one‐dimensional horizontal infiltration method

Abstract The soil water characteristic curve (SWCC) can quantitatively characterize and predict the retention, movement, and exploitability of soil water in drylands. It holds key scientific significance for optimizing water management, guiding agricultural production, and promoting ecological restoration. In the present research, soil specimens were collected from apricot ( Prunus armeniaca L.) groves in the hilly regions of southern Ningxia to examine how varying ages of apricot trees influence the SWCC. The accuracy and variability of SWCC measurements in apricot orchards of different ages were assessed using the one‐dimensional horizontal infiltration method. Additionally, unsaturated hydraulic conductivity ( K θ ), unsaturated diffusion coefficient ( D ), and related hydrological parameters were estimated. The feasibility and accuracy of the one‐dimensional horizontal infiltration method were evaluated using the in situ continuous evaporation method with a tensiometer. The results indicated that, compared with CK (farmland corn field), it took 78.89% longer for the wetting front to reach a depth of 40.0 cm in the 35‐year‐old stand, and sorptivity ( S ) decreased by 36.36%. A comparative analysis of the low matric potential range SWCC, obtained using both the one‐dimensional horizontal infiltration technique and the tensiometer technique, revealed that the R 2 value was greater than 0.765, while the root mean square error (RMSE) and mean absolute error (MAE) were both less than 0.1 cm 3 /cm 3 . This demonstrates that the one‐dimensional horizontal infiltration method has high precision in measuring the SWCC of forest soil. A comparison of the estimation results from two SWCC models, namely, the van Genuchten model as well as the Brooks–Corey model, showed that the van Genuchten model had a higher R 2 value and lower RMSE and MAE compared to the Brooks–Corey model. This indicates that the van Genuchten model is more effective at predicting the SWCC of forest soil. Under the same moisture content conditions, both the K θ and the D diminished as stand age increased. The study concluded that hydraulic permeability progressively waned with the escalation of forest age. It also substantiated that the one‐dimensional horizontal infiltration technique is an expeditious and dependable means for gauging the SWCC and pivotal hydrodynamic parameters of forest soil in arid zones.

Authors

Institutions

Publication Details

Journal
Soil Science Society of America Journal
Published
2026-06-29
DOI
https://doi.org/10.1002/saj2.70284
Primary Topic
Soil and Unsaturated Flow
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi‐model simulation and evaluation of soil moisture characteristic curves in artificial apricot orchards based on one‐dimensional horizontal infiltration method

白一茹, Gang Wang, Changyu Gu, Youqi Wang et al.
Soil Science Society of America Journal
Soil and Unsaturated Flow
article

Multi‐model simulation and evaluation of soil moisture characteristic curves in artificial apricot orchards based on one‐dimensional horizontal infiltration method

白一茹, Gang Wang, Changyu Gu, Youqi Wang, Zhiweng Yang
article en

Abstract

Abstract The soil water characteristic curve (SWCC) can quantitatively characterize and predict the retention, movement, and exploitability of soil water in drylands. It holds key scientific significance for optimizing water management, guiding agricultural production, and promoting ecological restoration. In the present research, soil specimens were collected from apricot ( Prunus armeniaca L.) groves in the hilly regions of southern Ningxia to examine how varying ages of apricot trees influence the SWCC. The accuracy and variability of SWCC measurements in apricot orchards of different ages were assessed using the one‐dimensional horizontal infiltration method. Additionally, unsaturated hydraulic conductivity ( K θ ), unsaturated diffusion coefficient ( D ), and related hydrological parameters were estimated. The feasibility and accuracy of the one‐dimensional horizontal infiltration method were evaluated using the in situ continuous evaporation method with a tensiometer. The results indicated that, compared with CK (farmland corn field), it took 78.89% longer for the wetting front to reach a depth of 40.0 cm in the 35‐year‐old stand, and sorptivity ( S ) decreased by 36.36%. A comparative analysis of the low matric potential range SWCC, obtained using both the one‐dimensional horizontal infiltration technique and the tensiometer technique, revealed that the R 2 value was greater than 0.765, while the root mean square error (RMSE) and mean absolute error (MAE) were both less than 0.1 cm 3 /cm 3 . This demonstrates that the one‐dimensional horizontal infiltration method has high precision in measuring the SWCC of forest soil. A comparison of the estimation results from two SWCC models, namely, the van Genuchten model as well as the Brooks–Corey model, showed that the van Genuchten model had a higher R 2 value and lower RMSE and MAE compared to the Brooks–Corey model. This indicates that the van Genuchten model is more effective at predicting the SWCC of forest soil. Under the same moisture content conditions, both the K θ and the D diminished as stand age increased. The study concluded that hydraulic permeability progressively waned with the escalation of forest age. It also substantiated that the one‐dimensional horizontal infiltration technique is an expeditious and dependable means for gauging the SWCC and pivotal hydrodynamic parameters of forest soil in arid zones.

Soil Science Society of America JournalVol. 90(4)
Ministry of Education of the People's Republic of China (CN), Ningxia University (CN), Ningxia Academy of Agriculture and Forestry Sciences (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 12%
Soil and Unsaturated Flow
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.