XXV SBRH - Simpósio Brasileiro de Recursos Hídricos

Data: 19/11/2023 à 24/11/2023
Local: Centro de Convenções AM Malls - Sergipe
ISSN: 2318-0358
Mais informações: http://www.abrhidro.org.br/xxvsbrh

Evaluation of the Regional-Scale Gash Model for Forest Interception Loss




Sabrina Holanda Oliveira, John Elton de Brito Leite Cunha, Fernanda Maria dos Reis Torroaes Valente


12 - Geotecnologias (Sensoreamento remoto e Geoprocessamento) Aplicada aos Recursos Hídricos


An accurate estimate of rainfall interception loss is crucial for modeling the water balance in forested areas. However, considerable regional variability exists in the interception process, and much uncertainty remains. This study presents an advanced approach that enhances the estimation of rainfall interception loss at the regional scale by integrating remote sensing products into the parameterization of the Gash analytical model (RS-Gash). High-resolution satellite imagery was used to derive vegetation indices and spectral reflectance, which were then employed in linear regression models to estimate vegetation water storage capacity (Sv) and canopy cover fraction (c). These parameters hold significant importance in ecological processes, land management, and water resource management. Furthermore, the integration of MWSEP and ERA5-Land meteorological products facilitates the determination of mean rainfall and evaporation rates under canopy saturation conditions, the other two parameters required to run the model. Modeling performance was evaluated using in-situ measurements and gridded datasets. The findings demonstrate the considerable potential of this approach to enhance the accuracy of rainfall interception loss estimates while concurrently reducing the temporal and financial costs associated with data acquisition.

© 2024 - Todos os direitos reservados - Sistema de publicação de trabalhos técnico ABRHidro - Associação Brasileira de Recursos Hídricos
Desenvolvido por Pierin.com