Spatial estimation of the runoff coefficient in the Rímac river basin using slopes, NDVI and soil permeability using GEE
DOI:
https://doi.org/10.18687/LACCEI2026.1.1.814Palabras clave:
Rímac Basin, Google Earth Engine, NDVI, Runoff, Rational MethodResumen
The Rímac River basin, the main source of water supply for Lima Metropolitan Area, exhibits a complex hydrological response influenced by climatic variability, topography, and soil properties, which complicates the accurate estimation of surface runoff using traditional approaches. In this context, the runoff coefficient (C) represents a key parameter for hydraulic design and hydrological risk assessment. This study aims to estimate the spatial and temporal distribution of the runoff coefficient in the Rímac River basin through the integration of slope, vegetation cover (NDVI), and soil permeability using the Google Earth Engine platform. For this purpose, satellite data from SRTM, MODIS, OpenLandMap, and SoilGrids were processed to generate monthly runoff coefficient maps with homogeneous spatial resolution. The results reveal a marked spatial and seasonal variability of the runoff coefficient, with higher values concentrated in the upper and middle sections of the basin and during wet and transitional periods, highlighting the usefulness of the proposed approach to support preliminary hydrological risk assessment and hydraulic design in basins with limited hydrometric information.Descargas
Publicado
2026-07-27
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Derechos de autor 2026 LACCEI
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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.
LACCEI conserva el copyright de todos los artículos publicados bajo los términos de su acuerdo de transferencia de copyright. Como titular del copyright, LACCEI distribuye los artículos al público bajo la Licencia Internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0 (CC BY-NC-SA 4.0).
Cómo citar
Vera Ortega, D. J., Perez Laura, N. G., & Carmona Arteaga, A. (2026). Spatial estimation of the runoff coefficient in the Rímac river basin using slopes, NDVI and soil permeability using GEE. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.814