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<p>Geomorphological and environmental factors influence the intensity of sediment transfer within a watershed. This study aimed to refine sediment transport modelling using the hydrological connectivity index for the Seridó River watershed in the Brazilian semi-arid region. A combination of remote sensing data, land use and land cover information, flow data from fluviometric monitoring stations, the Natural Resources Conservation Service methods, and the connectivity index was employed. The analysis identified areas with the highest and lowest connectivity values and modelled intermittent water runoff. Connectivity within the Seridó River basin varied between regions of sediment transport (high connectivity) and sediment deposition (low connectivity), influenced by land use, land cover, and topographic conditions. Peak flow modelling closely matched observations from fluviometric station data, with an average annual flow of 3.56&#xa0;m³/s, reflecting low hydric permanence and supporting the model’s accuracy. The sediment transport capacity in the basin was initially estimated at 3.27 t/ha/y but was adjusted to 1.96 t/ha/y after incorporating the connectivity index. This adjustment improved the understanding of sediment delivery dynamics by accounting for connectivity’s role in facilitating sediment movement between geomorphological compartments. Ultimately, the model provided a reliable framework for analyzing sediment dynamics in the Seridó basin, offering precise estimates for hydrosedimentological processes.</p>

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Adjusting sediment transport capacity using the connectivity index in the Brazilian semiarid region

  • 期刊论文

  • 发表日期：

    2025年11月6日

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  • Davi Rodrigues Rabelo,
  • Daniele Frascareli,
  • Sheila Cardoso-Silva,
  • Marcos Ronielly da Silva Santos

摘要

Geomorphological and environmental factors influence the intensity of sediment transfer within a watershed. This study aimed to refine sediment transport modelling using the hydrological connectivity index for the Seridó River watershed in the Brazilian semi-arid region. A combination of remote sensing data, land use and land cover information, flow data from fluviometric monitoring stations, the Natural Resources Conservation Service methods, and the connectivity index was employed. The analysis identified areas with the highest and lowest connectivity values and modelled intermittent water runoff. Connectivity within the Seridó River basin varied between regions of sediment transport (high connectivity) and sediment deposition (low connectivity), influenced by land use, land cover, and topographic conditions. Peak flow modelling closely matched observations from fluviometric station data, with an average annual flow of 3.56 m³/s, reflecting low hydric permanence and supporting the model’s accuracy. The sediment transport capacity in the basin was initially estimated at 3.27 t/ha/y but was adjusted to 1.96 t/ha/y after incorporating the connectivity index. This adjustment improved the understanding of sediment delivery dynamics by accounting for connectivity’s role in facilitating sediment movement between geomorphological compartments. Ultimately, the model provided a reliable framework for analyzing sediment dynamics in the Seridó basin, offering precise estimates for hydrosedimentological processes.