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Updated: Jul 25, 2025

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
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An analytical model for simulating the rainfall-interception-infiltration-runoff process with non-uniform rainfall.

Wanghai Tao1, Fanfan Shao1, Lijun Su1

  • 1State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, 710048, PR China.

Journal of Environmental Management
|June 29, 2023
PubMed
Summary
This summary is machine-generated.

This study developed a new model to simulate rainfall runoff, considering vegetation and infiltration. The model accurately predicts runoff, aiding in understanding soil erosion and nutrient loss.

Keywords:
Canopy interceptionKinematic wave modelMathematical modelNon-uniform rainfall

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Area of Science:

  • Hydrology
  • Environmental Science
  • Soil Science

Background:

  • Rainfall runoff is crucial for surface material transport, impacting soil erosion and nutrient loss.
  • Accurate simulation of surface runoff is essential for environmental management.
  • Vegetation cover significantly influences hydrological processes like interception and infiltration.

Purpose of the Study:

  • To develop a comprehensive simulation model for rainfall-interception-infiltration-runoff under vegetation cover.
  • To derive an analytical solution for slope runoff considering vegetation and infiltration during non-constant rainfall.
  • To investigate the influence of key parameters on runoff generation.

Main Methods:

  • Integrated a vegetation interception model, Philip's infiltration model, and a kinematic wave model.
  • Derived an analytical solution for slope runoff simulation.
  • Validated the analytical solution using a numerical solution (Pressimann Box scheme) and statistical metrics (R², RMSE, NS).

Main Results:

  • The analytical solution demonstrated high accuracy and robustness (R² = 0.984, NS = 0.969).
  • Investigated the impact of vegetation interception capacity (Intm) and infiltration parameter (k) on runoff.
  • Found Intm positively correlates with runoff intensity, while k shows a negative correlation.

Conclusions:

  • The developed model offers a novel approach to simulate rainfall-runoff dynamics under vegetation cover.
  • The findings enhance understanding of runoff generation and convergence on complex slopes.
  • Provides a practical tool for quantifying soil erosion and nutrient loss in varying environmental conditions.