Mohril et al. (2026) Exploring Response Time Influence on Rising Limb of a Hydrograph With Emphasis on Raindrop Characterisation: An Experimental Study

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

Identification

• Journal: Hydrological Processes
• Year: 2026
• Date: 2026-02-01
• Authors: Radha S. Mohril, Avinash D. Vasudeo, Aniruddha D. Ghare
• DOI: 10.1002/hyp.70442

Research Groups

[Not explicitly stated in the abstract.]

Short Summary

This study evaluates a rainfall simulator's ability to replicate natural rainfall conditions and then uses it to systematically analyze the influence of dynamic (moving) rainfall patterns on surface flow and hydrograph components. A nonlinear regression model effectively captures these rainfall-runoff interactions, demonstrating high accuracy in both calibration and validation.

Objective

• To comprehensively evaluate and ensure a rainfall simulator effectively replicates natural rainfall conditions by assessing parameters like raindrop velocity, terminal speed, spray dynamics, kinetic energy, and droplet size.
• To systematically analyze the influence of dynamic (moving) rainfall patterns (upstream, downstream, extreme upstream, extreme downstream) on surface flow and hydrograph components.
• To elucidate the relationship between rainfall characteristics and runoff dynamics under moving rainfall conditions.

Study Configuration

• Spatial Scale: Laboratory experiments
• Temporal Scale: Short-term, controlled rainfall events (12 distinct rainfall intensities, three rainfall durations)

Methodology and Data

• Models used: Regression-based model (specifically, nonlinear regression)
• Data sources: Laboratory experiments conducted using a rainfall simulator

Main Results

• The rainfall simulator was confirmed to effectively replicate natural rainfall conditions after comprehensive evaluation of key raindrop parameters.
• The study extended beyond constant rainfall events to systematically examine moving rainfall patterns, categorized as upstream, downstream, extreme upstream, and extreme downstream.
• A regression-based model effectively captured rainfall-runoff interactions.
• Model performance metrics were high: Nash-Sutcliffe Efficiency (NSE) and coefficient of determination (R²) exceeded 0.8, and Percent Bias (PBIAS) was below 10% in both calibration and validation.
• Nonlinear regression was identified as the most reliable prediction approach for rainfall-runoff interactions under these conditions.
• The study elucidated the relationship between rainfall characteristics and runoff dynamics under various moving rainfall conditions, with special emphasis on the rising limb of the hydrograph.

Contributions

• Provides critical insights into the relationship between dynamic (moving) rainfall patterns and runoff behavior, extending beyond traditional studies focused on constant rainfall.
• Validates a rainfall simulator as an effective tool for accurately replicating natural rainfall conditions in a controlled environment.
• Contributes to advancements in hydrological modeling and water resource management by improving the understanding of complex rainfall-runoff interactions.

Funding

[Not explicitly stated in the abstract.]

Citation

@article{Mohril2026Exploring,
  author = {Mohril, Radha S. and Vasudeo, Avinash D. and Ghare, Aniruddha D.},
  title = {Exploring Response Time Influence on Rising Limb of a Hydrograph With Emphasis on Raindrop Characterisation: An Experimental Study},
  journal = {Hydrological Processes},
  year = {2026},
  doi = {10.1002/hyp.70442},
  url = {https://doi.org/10.1002/hyp.70442}
}