Modeling sediment yield on hillslopes under no-till farming
Visualizar/ Abrir
Data
2021-05-31Primeiro membro da banca
Merten, Gustavo Henrique
Segundo membro da banca
Kaiser, Douglas Rodrigo
Terceiro membro da banca
Koppe, Ezequiel
Quarto membro da banca
Cerdan, Olivier
Metadata
Mostrar registro completoResumo
Runoff generation and formation depend on several factors that control water infiltration in the soil and runoff propagation. The amount of water that is not infiltrated can transform into runoff and propagate to the surface, thus causing soil and water degradation. Understanding the phenomena, generation, and propagation of surface runoff are essential to determine conservationist practices that seek to minimize water and soil losses. However, runoff generation and formation are highly complex and rely on soil, surface, and rainfall conditions, which are constantly changing. To better understand runoff generation and propagation, mathematical modeling is essential, as it helps better grasp the influence of fundamental characteristics of the soil to describe the hydrological and erosive processes in the landscape. Nevertheless, simulating these processes according to the dynamics observed in the landscape requires information of the appropriate space-time scale. Therefore, data of rain, flow, and sediment concentration of high temporal resolution are necessary at the slope and zero-order catchment scales. Hence, this study aimed to understand runoff generation and propagation and sediment production using mathematical modeling on slopes under no-till. This experiment was carried out in the southern plateau of southern Brazil, in the central region of Rio Grande do Sul State, which has a production system characteristic to grain production areas of southern Brazil under no-till. Monitoring was carried out in four macroplots (0.6 ha) and a zero-order catchment (2.4 ha) to measure hydrological variables in natural rainfall events with high temporal resolution. The apparent infiltration was determined from a wide range of events and parameters that represent flow resistance. These analyses contributed to guide the use of hydrological models (LISEM and WATERSED). Both models were efficient in reproducing the processes runoff generation and propagation and sediment production, with LISEM providing relatively better results. This study demonstrates the potential of coupling monitoring and modeling of hydrological processes on agricultural slopes for conservationist planning with a view of efficient water use and reduced degradation problems.
Coleções
Os arquivos de licença a seguir estão associados a este item: