Pérez-Campo et al. (2026) Streamflow Simulation Based on a Hybrid Morphometric–Satellite Methodological Framework

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Identification

• Journal: Water
• Year: 2026
• Date: 2026-03-26
• Authors: Devis A. Pérez-Campo, Fernando Espejo, Santiago Zazo
• DOI: 10.3390/w18070786

Research Groups

Not explicitly stated in the provided text.

Short Summary

This study investigated the relationships between GR4J hydrological model parameters and watershed characteristics in the Caquetá River Basin, finding strong correlations (R² 0.80-0.98) that support parameter regionalization based on physiographic and environmental descriptors.

Objective

• To investigate the relationships between the parameters of the GR4J hydrological model and a set of morphometric descriptors, climatic indices, land-cover characteristics, and soil properties across the Caquetá River Basin (Colombia).

Study Configuration

• Spatial Scale: Caquetá River Basin, Colombia, focusing on 12 delineated sub-watersheds.
• Temporal Scale: 22 years (2001–2022).

Methodology and Data

• Models used: GR4J hydrological model; Differential Evolution Markov Chain (DE-MC) algorithm for model calibration; Spearman’s rank correlation and curve-fitting analyses for relationship assessment.
• Data sources: CHIRPS satellite precipitation; ERA5 potential evaporation; NDVI data (for land-cover); soil type identification (based on average approximate permeability); limnimetric–limnographic gauges (for streamflow records).

Main Results

• Strong and consistent relationships were identified between GR4J parameters (X1–X4) and key morphometric variables, including basin perimeter, circularity ratio, main channel length, and channel slope.
• Coefficients of determination (R²) for these relationships ranged from 0.80 to 0.98.
• The findings highlight the significant potential for GR4J parameter regionalization based on physiographic and environmental descriptors within the Caquetá River Basin.

Contributions

• This research quantifies strong relationships between GR4J hydrological model parameters and watershed characteristics in the Caquetá River Basin, demonstrating a robust methodology for parameter regionalization. This contributes to improving hydrological modeling in data-scarce regions by enabling the estimation of model parameters from readily available physiographic and environmental data.

Funding

Not explicitly stated in the provided text.

Citation

@article{PérezCampo2026Streamflow,
  author = {Pérez-Campo, Devis A. and Espejo, Fernando and Zazo, Santiago},
  title = {Streamflow Simulation Based on a Hybrid Morphometric–Satellite Methodological Framework},
  journal = {Water},
  year = {2026},
  doi = {10.3390/w18070786},
  url = {https://doi.org/10.3390/w18070786}
}