What question did this study set out to answer?

To formulate and test adaptive approaches for real-time Kostiakov–Lewis infiltration parameter estimation that account for field irregularities such as soil cracks and surface undulations.

September 8, 2026Irrigation and Drainage

Adaptive Approaches for Real‐Time Estimation of Kostiakov–Lewis Furrow Infiltration Parameters to Field Conditions

Q: What does this research mean for the field?

Adaptive volume balance approaches (Storage-VB adjustment, Time-based VB, and Advance-simulating) provide more consistent and reliable real-time estimates of Kostiakov-Lewis furrow infiltration parameters than the Direct VB approach by accounting for field irregularities. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

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Authors

AGAbel GetahunHawassa University MAMekonen AyanaAdama Science and Technology University BMBoja MekonnenAdama Science and Technology University

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Implication

Validation study demonstrates that adaptive volume balance models reduce parameter variability across furrow irrigation fields, indicating more reliable real-time water management.

Key Points

To formulate and test adaptive approaches for real-time Kostiakov–Lewis infiltration parameter estimation that account for field irregularities such as soil cracks and surface undulations.
Evaluated three adaptive techniques—Storage-VB adjustment, Time-based VB, and Advance-simulating—against the standard Direct volume balance (VB) method.
Tested models across 22 furrows (28–64 m) using real-time field data and 12 furrows (235 m) using experimental data.
Integrated procedures into the Furrow_Inf tool to perform statistical evaluations and cross-validation for identifying representative and outlier furrows.
Direct VB produced inconsistent estimates for parameter a (dimensionless exponent of infiltration decline) with a coefficient of variation (CV) of 73%, whereas adaptive methods maintained a CV below 36% across all fields.
The Advance-simulating approach outperformed other models for the steady-state infiltration parameter (f₀), while no single method proved superior for parameter k.
Adaptive methods demonstrated superior predictive agreement over Direct VB during independent field validation despite having no statistical bias.

Cite This Study

Getahun et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd82058e84d0ff5b47608 https://doi.org/10.1002/ird.70217

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Implication

Validation study demonstrates that adaptive volume balance models reduce parameter variability across furrow irrigation fields, indicating more reliable real-time water management.

Adaptive Approaches for Real‐Time Estimation of Kostiakov–Lewis Furrow Infiltration Parameters to Field Conditions

Discussion

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Implication

Key Points

Cite This Study

Adaptive Approaches for Real‐Time Estimation of Kostiakov–Lewis Furrow Infiltration Parameters to Field Conditions

Discussion

Member takes

Implication

Key Points

Cite This Study

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