Rainfall-runoff modelling in dryland catchments, Sauce Grande, Argentina
نویسندگان
چکیده
La escasa comprensión sobre el funcionamiento hidrológico de muchas cuencas zonas secas desafía modelado en forma discreta y continua. Este trabajo implementa un modelo conceptual simple, pero robusto (GR2M) para predecir la escorrentía mensual cuenca del río Sauce Grande (Argentina). El mismo pretende determinar a) eficacia modelos conceptuales simples secas, b) potencial transferencia los parámetros contexto variabilidad hidroclimática característica estos ambientes. Se evalúan comparan dos versiones GR2M considerando condiciones similares contrastantes a lo largo periodo registro. durante calibración fue entre 88 90 % promedio, con variaciones vinculadas cambios las predominantes (magnitud, constancia). versión que separa directa flujo subsuperficial demostró mayor sensibilidad extremas adaptabilidad estructural gama completa flujos. Sin embargo, se registraron notorias pérdidas validación (22 %, promedio) debidas principalmente sobreestimaciones periodos baja escorrentía. Los ajustaron base árboles regresión. Así, predictiva mejoró 97 %. Además validar solidez hidrológicos permitiendo evolucionar tiempo, este provee datos planificación gestión recursos hídricos esta altamente regulada.
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ژورنال
عنوان ژورنال: Tecnología y ciencias del agua
سال: 2021
ISSN: ['2007-2422']
DOI: https://doi.org/10.24850/j-tyca-2021-05-06