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Water transport dynamics in a meadow wetland under different hydrological years: Model simulation and mechanism analysis

Author

Listed:
  • Zhang, Wei
  • Liu, Tingxi
  • Bao, Yongzhi
  • Duan, Limin
  • Hao, Lina
  • Tong, Xin
  • Han, Yahui
  • Zhang, Simin
  • Lun, Shuo
  • Wang, Yuxiang
  • Singh, V.P.

Abstract

The water cycle mechanisms in desertified regions have undergone considerable variation owing to the effects of climate change and human activities. Accurate characterization of the water transport processes in meadow wetlands within such areas is crucial for understanding the underlying hydrological mechanisms and improving water resource management. In this study, a representative meadow wetland located in Horqin Sandy Land was selected as the research site, and an enhanced HYDRUS-1D model was employed to simulate the long-term (2013–2020) water transport process. By incorporating the standardized precipitation index (SPI6), the water transport dynamics across hydrologically distinct years were analyzed. The results indicated that the improved HYDRUS-1D model provided a more accurate simulation of water transport in the meadow wetland, with R2 values exceeding 0.74, RMSE below 0.617 cm3·cm−3, and NSE below 0.751 during model validation. The simulation revealed the persistent capillary rise and deep percolation pulsation, with the average capillary rise reaching approximately 2.54 mm d⁻¹ and deep percolation showing marked downward fluctuation, up to 140.26 mm d⁻¹ , following major precipitation events. The interannual variation in the water cycle was primarily characterized by differences in precipitation regimes, leading to distinct patterns of water redistribution among deep percolation (DP), capillary rise (CR), and evapotranspiration (ET). In dry years, vegetation transpiration (T) contributed to 70.58 % of water loss, with DP accounting for only 16.81 %. In contrast, T dropped to 56.26 % and DP increased to 33.87 % in wet years. Soil evaporation consistently contributed approximately 10.7 %, while the change in soil water storage (ΔSWS) increased slightly in dry years to offset moisture deficits. The precipitation-based classification of hydrological years revealed distinct water balance regimes, indicating that precipitation variability drives the redistribution among ET, DP, and CR in meadow wetlands. These findings could provide a scientific foundation for water resource management and wetland ecological conservation in arid and semi-arid regions.

Suggested Citation

  • Zhang, Wei & Liu, Tingxi & Bao, Yongzhi & Duan, Limin & Hao, Lina & Tong, Xin & Han, Yahui & Zhang, Simin & Lun, Shuo & Wang, Yuxiang & Singh, V.P., 2025. "Water transport dynamics in a meadow wetland under different hydrological years: Model simulation and mechanism analysis," Agricultural Water Management, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:agiwat:v:321:y:2025:i:c:s0378377425006535
    DOI: 10.1016/j.agwat.2025.109939
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    References listed on IDEAS

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    1. Yi, Jun & Li, Huijie & Zhao, Ying & Shao, Ming'an & Zhang, Hailin & Liu, Muxing, 2022. "Assessing soil water balance to optimize irrigation schedules of flood-irrigated maize fields with different cultivation histories in the arid region," Agricultural Water Management, Elsevier, vol. 265(C).
    2. Tan, Xuezhi & Shao, Dongguo & Liu, Huanhuan, 2014. "Simulating soil water regime in lowland paddy fields under different water managements using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 132(C), pages 69-78.
    3. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    4. repec:plo:pone00:0099715 is not listed on IDEAS
    5. Kang, Xueer & Liu, Tingxi & Hao, Lina & He, Chao & Duan, Limin & Wu, Rong & Wang, Guanli & Singh, Vijay P., 2024. "Variation in water use patterns of three typical plants in a dune-meadow cascade ecosystem of the Horqin Sandy Land: Implications from stable isotope compositions," Agricultural Water Management, Elsevier, vol. 298(C).
    6. Katimbo, Abia & Rudnick, Daran R. & DeJonge, Kendall C. & Lo, Tsz Him & Qiao, Xin & Franz, Trenton E. & Nakabuye, Hope Njuki & Duan, Jiaming, 2022. "Crop water stress index computation approaches and their sensitivity to soil water dynamics," Agricultural Water Management, Elsevier, vol. 266(C).
    7. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    8. Feng Huang & Yude Zhang & Danrong Zhang & Xi Chen, 2019. "Environmental Groundwater Depth for Groundwater-Dependent Terrestrial Ecosystems in Arid/Semiarid Regions: A Review," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
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