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Time-variable soil hydraulic properties in near-surface soil water simulations for different tillage methods

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  • Schwen, Andreas
  • Bodner, Gernot
  • Loiskandl, Willibald

Abstract

Simulating near-surface soil water dynamics is challenging since this soil compartment is temporally highly dynamic as response to climate and crop growth. For accurate simulations the soil hydraulic properties have to be properly known. Although there is evidence that these properties are subject to temporal changes, they are set constant over time in most simulations studies. The objective of this study was to improve near-surface soil water simulations by accounting for time-variable hydraulic properties. Repeated tension infiltrometer measurements over two consecutive seasons were used to inversely estimate the hydraulic properties of a silt loam soil under different tillage – conventional (CT), reduced (RT), and no-tillage (NT). Simulated water dynamics with constant and time-variable hydraulic parameters were compared to observed data in terms of the soil water content and water storage in the near-surface soil profile (0–30cm). The measurements indicate a considerable temporal variability in the saturated hydraulic conductivity, the field-saturated water content and the parameter α of the van Genuchten/Mualem model. Temporal variability was largest for CT and RT, whereas under NT, replicates of measured water contents and hydraulic properties showed a considerable large spatial variability. Simulations with time-constant hydraulic parameters led to underestimations of soil water dynamics in winter and early spring and overestimations during late spring and summer. The use of time-variable hydraulic parameters significantly improved simulation performance for all treatments, resulting in average relative errors below 13%. Since simulation results agreed with observed water dynamics in two seasons, the applicability of inversely estimated hydraulic properties for soil water simulations is demonstrated. Thus, simulations that address applied questions in agricultural water management may be improved by using time-variable hydraulic parameters. The simulated water balance indicated that RT and NT result in better water storage than CT and therefore may increase water efficiency under water-limited climatic conditions.

Suggested Citation

  • Schwen, Andreas & Bodner, Gernot & Loiskandl, Willibald, 2011. "Time-variable soil hydraulic properties in near-surface soil water simulations for different tillage methods," Agricultural Water Management, Elsevier, vol. 99(1), pages 42-50.
    • Handle: RePEc:eee:agiwat:v:99:y:2011:i:1:p:42-50
    DOI: 10.1016/j.agwat.2011.07.020
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    References listed on IDEAS

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    1. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    2. Xu, D. & Mermoud, A., 2003. "Modeling the soil water balance based on time-dependent hydraulic conductivity under different tillage practices," Agricultural Water Management, Elsevier, vol. 63(2), pages 139-151, December.
    3. Ji, X.B. & Kang, E.S. & Zhao, W.Z. & Zhang, Z.H. & Jin, B.W., 2009. "Simulation of heat and water transfer in a surface irrigated, cropped sandy soil," Agricultural Water Management, Elsevier, vol. 96(6), pages 1010-1020, June.
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    Cited by:

    1. Saurabh Kumar & Richa Ojha, 2023. "Modeling Soil Hydraulic Properties Using Dynamic Variability of Soil Pore Size Distribution," Sustainability, MDPI, vol. 15(13), pages 1-26, June.
    2. Liu, Ziqi & Li, Kaiping & Xiong, Kangning & Li, Yuan & Wang, Jin & Sun, Jian & Cai, Lulu, 2021. "Effects of Zanthoxylum bungeanum planting on soil hydraulic properties and soil moisture in a karst area," Agricultural Water Management, Elsevier, vol. 257(C).
    3. Liebhard, Gunther & Klik, Andreas & Neugschwandtner, Reinhard W. & Nolz, Reinhard, 2022. "Effects of tillage systems on soil water distribution, crop development, and evaporation and transpiration rates of soybean," Agricultural Water Management, Elsevier, vol. 269(C).
    4. Ali, Shahzad & Xu, Yueyue & Jia, Qianmin & Ahmad, Irshad & Ma, Xiangcheng & Yan, Zhang & Cai, Tie & Ren, Xiaolong & Zhang, Peng & Jia, Zhikuan, 2018. "Interactive effects of planting models with limited irrigation on soil water, temperature, respiration and winter wheat production under simulated rainfall conditions," Agricultural Water Management, Elsevier, vol. 204(C), pages 198-211.

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