PHI et al. (2026) Evaluation of Effective Rainfall Estimation Methods under Contrasting Climatic Conditions in Vietnam: A Soil–Water Balance Modeling Approach Considering Management Allowable Depletion

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Journal of Irrigation and Drainage Engineering
• Year: 2026
• Date: 2026-09-15
• Authors: NGUYEN PHI, Minh Quang Nguyen
• DOI: 10.1061/jidedh.ireng-10884

Research Groups

• Department of Agricultural Hydrology, Vietnam National University of Agriculture
• Climate Change Research Institute, Vietnam Academy of Science and Technology

Short Summary

This study evaluates the performance of three effective rainfall (Peff) estimation methods relative to a soil–water balance (SWB) model across three climatic regions in Vietnam. The results highlight the importance of incorporating dynamic soil water conditions into Peff estimation for reliable irrigation planning and water management.

Objective

• Evaluate the accuracy of different Peff estimation methods under various climatic conditions

Study Configuration

• Spatial Scale: Three representative climatic regions in Vietnam (north, central, and south)
• Temporal Scale: 1981–2020 period

Methodology and Data

• Models used: Soil–water balance (SWB) model
• Data sources: Climate data from national meteorological stations, soil moisture observations

Main Results

• The fixed-percentage method exhibits the largest deviations in Peff estimation under extreme climatic conditions.
• The USDA-SCS and regional regression methods improve results through nonlinear mechanisms but still fail to represent dynamic soil water behavior.
• SWB model indicates that Peff strongly depends on root-zone moisture conditions.

Contributions

• This study highlights the importance of incorporating dynamic soil water conditions into Peff estimation for reliable irrigation planning and water management under contrasting climatic conditions.

Funding

• This research was funded by the Vietnam National University of Agriculture (grant code: VNUA-2020-001) and the Climate Change Research Institute, Vietnam Academy of Science and Technology (project code: CCRI-VAST-2019-002).

Citation

@article{PHI2026Evaluation,
  author = {PHI, NGUYEN and Nguyen, Minh Quang},
  title = {Evaluation of Effective Rainfall Estimation Methods under Contrasting Climatic Conditions in Vietnam: A Soil–Water Balance Modeling Approach Considering Management Allowable Depletion},
  journal = {Journal of Irrigation and Drainage Engineering},
  year = {2026},
  doi = {10.1061/jidedh.ireng-10884},
  url = {https://doi.org/10.1061/jidedh.ireng-10884}
}