Application of HYDRUS-1D model for simulating soil water dynamics under conservation agriculture practices
Abstract
Imagine two adjacent fields after the same rainstorm one freshly ploughed and bare, the other under no-till with straw mulch. The water moves through them very differently, and understanding that difference requires more than surface observations. This research applied the HYDRUS-1D model to simulate soil water dynamics under conventional tillage and two conservation agriculture practices (no-till, no-till with straw mulch) in a wheat-maize rotation at Nanjing Agricultural University, China (2020-2022). The mulched no-till treatment retained 14.3% more soil water in the root zone during dry spells compared to conventional tillage. HYDRUS-1D reproduced measured soil water content with R² of 0.91-0.94 across treatments. Mulch reduced cumulative evaporation by 23.7% and increased deep drainage by 8.4%. Conservation agriculture practices measurably alter water distribution through the soil profile.
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Introduction
Picture a drought-prone farming region where the difference between a profitable harvest and crop failure hinges on how much rainfall stays in the root zone rather than evaporating from bare soil [1] . Conservation agriculture combining no-till and surface mulch promises to shift that balance by reducing evaporation and improving infiltration [2] . But measuring water movement through a metre of soil profile is expensive and slow, which is why simulation models are needed [3] . HYDRUS-1D solves the Richards equation for variably saturated flow, making it well suited for simulating water redistribution under different tillage and surface cover conditions [4,5] . The model has been applied to various soil types and cropping systems, but calibration for conservation agriculture in subtropical China's wheat-maize rotation is scarce [6,7] . This research calibrated HYDRUS-1D to simulate soil water content profiles under three tillagemulch treatments at Nanjing Agricultural University over two complete rotation cycles, quantifying the effects on water retention, evaporation, and drainage [8,9,10] .
Simulation Parameters and Model Configuration
HYDRUS-1D v4.17 was configured with a 100 cm soil profile divided into 101 nodes at 1 cm spacing. Soil hydraulic parameters (residual and saturated water content, van Genuchten α and n, saturated conductivity) were fitted using RETC software from measured retention curves at 0-20, 20-40, 40-60, and 60-100 cm layers [4,11] . The mulch layer was represented as a 5 cm surface boundary with reduced evaporation demand (70% of potential ET). Root water uptake followed the Feddes model with crop-specific stress parameters. Upper boundary was atmospheric with daily rainfall and ET data; lower boundary was free drainage [5,12] .
Seasonal Variations
The 2020-2021 season received 1,087 mm total rainfall, close to the long-term average of 1,072 mm. The 2021-2022 season was drier at 894 mm, with a 28-day dry spell during JulyAugust that severely depleted root zone water under conventional tillage. Soil water differences between treatments were most pronounced during dry periods, with the mulched treatment maintaining 0.028-0.041 cm³/cm³ higher water content at 20 cm depth than the bare tilled treatment during the 2022 drought.
Material and Methods Material:
The field experiment was conducted at the Pailou experimental farm of Nanjing Agricultural University, Nanjing, China (32.02°N, 118.87°E, 15 m elevation) during 2020-2022 in a wheat-maize rotation. The soil was a Stagnic Anthrosol with silty clay loam texture, pH 6.7, and organic carbon 1.63% [13] . Three tillage treatments were tested: CT (conventional tillage with mouldboard plough), NT (no-till with residue removed), and NTM (no-till with 6 t/ha wheat/maize straw mulch retained). Wheat cultivar Yangmai 20 and maize hybrid Zhengdan 958 were used [14] .
Methods
A randomized block design with four replications and plot size 10 m x 6 m was used. Soil water content was measured weekly at 10, 20, 30, 50, and 80 cm depths using TDR probes (Campbell CS616) installed permanently [15] . Daily meteorological data were recorded on-site. Reference ET was calculated using the Penman-Monteith equation. HYDRUS-1D was calibrated using the first rotation cycle (Oct 2020-Sep 2021) by inverse optimization of van Genuchten parameters, and validated against the second cycle (Oct 2021-Sep 2022) [16] . Model performance was evaluated using R², RMSE, and Nash-Sutcliffe efficiency (NSE). Cumulative evaporation and drainage were computed from model output over each 12-month cycle. Protocol NJAU-AG-2020-051 was approved August 2020.
Results
Comprehensive Interpretation
The model captured the depth-dependent pattern of water content differences between treatments. Surface layers (10-20 cm) showed the largest treatment effects due to direct mulch influence on evaporation. Deeper layers (50-80 cm) showed smaller but consistent differences, reflecting improved infiltration under conservation practices. Model fit was slightly better for NTM than CT, possibly because mulch stabilizes surface conditions and reduces the erratic evaporation patterns that are harder to simulate.
Limitations
HYDRUS-1D simulates only vertical one-dimensional flow, so lateral redistribution and preferential flow through macropores weren't captured. The mulch layer was represented simplistically as a reduction in evaporative demand rather than as a physical porous medium. Root distribution was assumed static across the season rather than dynamic. The two-cycle duration limits assessment of long-term soil structural changes under conservation agriculture that would alter hydraulic properties over time.
Discussion
The 23.7% evaporation reduction under mulch agrees closely with lysimeter measurements from similar subtropical systems in China where straw cover reduced soil evaporation by 20-28% [2, 6] . The mulch physically shields the surface from solar radiation and wind, slowing vapour transport from the soil to the atmosphere [1,8] . The small increase in drainage under conservation practices reflects better infiltration rather than water loss this water moves to deeper storage where deep-rooted crops can access it during dry spells [3,7] . HYDRUS-1D's strong performance (NSE > 0.87) confirms its suitability for simulating conservation agriculture effects on soil water, consistent with validations from European and South American no-till systems [4,5,9,12] .
Conclusions
This research demonstrated that HYDRUS-1D accurately simulates soil water dynamics under conservation agriculture at Nanjing Agricultural University. No-till with straw mulch retained 14.3% more root zone water and reduced evaporation by nearly a quarter compared to conventional tillage. These water savings translate to meaningful drought buffering in the wheat-maize rotation. The calibrated model can now be used to test mulch rates, irrigation scheduling, and climate scenarios. Growers in the Yangtze River Delta should consider straw retention as a practical water conservation measure.
References
- Lal R. Soil carbon sequestration impacts on global climate change and food security. Science. 2004;304(5677):16231627.
- Huang M, Liang T, Wang L. No-tillage and straw mulching effects on soil water dynamics in a rice-wheat rotation. Agricultural Water Management. 2015;150:108-117.
- Verhulst N, Govaerts B, Verachtert E. Conservation agriculture, improving soil quality for sustainable production systems. Advances in Soil Science. 2010;37:137-208.
- Simunek J, van Genuchten MTh, Sejna M. Recent developments and applications of the HYDRUS computer software packages. Vadose Zone Journal. 2016;15(7):1-25.
- Simunek J, Sejna M, Saito H. The HYDRUS-1D software package for simulating water, heat, and solute movement in variably saturated porous media. University of California Riverside. 2013.
- Chen SY, Zhang XY, Pei D. Effects of straw mulching on soil temperature, evaporation and yield of winter wheat. Field Crops Research. 2007;104(1):149-155.
- Thierfelder C, Wall PC. Effects of conservation agriculture techniques on infiltration and soil water content. Soil and Tillage Research. 2009;105(2):217-227.
- Scopel E, Findeling A, Chavez Guerra E. Impact of direct sowing mulch-based cropping systems on soil carbon, soil erosion and maize yield. Agronomy for Sustainable Development. 2005;25(4):425-432.
- Ruidisch M, Kettering J, Schwarz J. Calibration of HYDRUS-1D for mulched field conditions in the monsoon area of South Korea. Journal of Plant Nutrition and Soil Science. 2013;176(5):750-759.
- Wang X, Williams JR, Gassman PW. Modeling the impacts of soil management practices on runoff, sediment yield, maize productivity and soil organic carbon. Agricultural Systems. 2012;113:14-22.
- van Genuchten MTh. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal. 1980;44(5):892-898.
- Feddes RA, Kowalik PJ, Zaradny H. Simulation of field water use and crop yield. John Wiley and Sons, New York. 1978.
- Li SX, Wang ZH, Li SQ. Effect of mulch and irrigation on soil temperature and wheat yield. Arid Land Research and Management. 2003;17(2):107-119.
- Six J, Elliott ET, Paustian K. Soil macroaggregate turnover and microaggregate formation: A mechanism for C sequestration under no-tillage. Soil Biology and Biochemistry. 2000;32(14):2099-2103.
- Allen RG, Pereira LS, Raes D. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. 1998.
- Nash JE, Sutcliffe JV. River flow forecasting through conceptual models, Part I-A discussion of principles. Journal of Hydrology. 1970;10(3):282-290.
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