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Related Experiment Video

Updated: Oct 1, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Quantifying interaction uncertainty between subwatersheds and base-flow partitions on hydrological processes.

Bing Yan1,2,3, Yi Xu1,3

  • 1Hydrology and Water Resources Department, Nanjing Hydraulic Research Institute, Nanjing, China.

Plos One
|March 1, 2022
PubMed
Summary
This summary is machine-generated.

Uncertainty in base flow estimation impacts hydrological simulations, especially in the Yellow River Basin. Subbasin partitioning dominates dry season uncertainty, while baseflow segmentation methods influence wet season simulations.

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Area of Science:

  • Hydrology
  • Environmental Science
  • Water Resource Management

Background:

  • Base flow is crucial for dry period runoff, particularly in semiarid regions like the Yellow River Basin.
  • Hydrological simulations face significant uncertainty in accurately determining base flow components.
  • Understanding these uncertainties is vital for reliable water resource management and hydrological modeling.

Purpose of the Study:

  • To propose a framework for quantifying uncertainty in base flow estimation within hydrological simulations.
  • To explore the impact of subbasin partitioning schemes and base flow separation methods on hydrological model outputs.
  • To identify the dominant sources of uncertainty in different hydrological periods (dry vs. wet seasons).

Main Methods:

  • Utilized Particle Swarm Optimization (PSO) for model parameter calibration under various subbasin divisions.
  • Applied hydrograph separation techniques: HYSEP, Improved UKIH, and Lyne-Hollick.
  • Employed the subsample-variance-decomposition method to quantify uncertainty.

Main Results:

  • The Topmodel performed effectively in the Yellow River source area, with high KGE values.
  • Subbasin division uncertainty had minimal impact during the dry season but significant effects in the wet season.
  • Base flow separation method uncertainty substantially impacted annual mean streamflow, with Lyne-Hollick and HYSEP yielding higher values than IUKIH in the wet season.

Conclusions:

  • Subbasin partitioning uncertainty is dominant in the dry season (86%), while base flow segmentation methods are more influential in the wet season.
  • The interplay between subbasin partitioning and base flow separation methods creates distinct hydrological process uncertainties across seasons.
  • Findings offer valuable insights for calibrating and validating hydrological models using base flow data.