MHIA Model ("Modelo Hidrológico Agregado")

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Authors: Juan F. Farfán, Luis Cea, Ania Fernández Portillo
Cited by: 0

Abstract

The MHIA model combines a soil water balance with two response branches (fast and slow), each routed using a Gamma-type instantaneous unit hydrograph (IUH). The objective is to represent, in a conceptually consistent and computationally efficient manner, the processes of storage, release, and flow propagation within a catchment. The formulation is designed to support gradient-based optimization, enabling its use within differentiable architectures or hybrid neural networks, while also allowing global optimization through Particle Swarm Optimization (PSO).

Fields of Study & Subjects

Hydrology and Watershed Management Studies Hydrological Forecasting Using AI Soil Moisture and Remote Sensing

Publication details

Journal / source
CUAHSI
Publication date
17 February 2026
Language
EN
Document type
Dataset