The concept of connectivity aims to understand the hydrosedimentological (water and sediments) processes that occur in the catchment and influence the water and sediment transfer at different spatial-temporal scales. Connectivity is often assessed through connectivity indexes, commonly considering only structural features of the landscape. The present study proposes the insertion of the precipitation and surface runoff characteristics as functional components to the connectivity index (IC). Its main goal is to evaluate the space-time variation of water and sediment connectivity in a subtropical catchment. To achieve this goal, two parameters, extracted from precipitation data, were inserted in the IC and resulted in the hydrosedimentological connectivity index (IHC), which concerns the runoff generation and the characteristics of the antecedent precipitation event. The IHC was tested on a catchment scale for 7 individual precipitation events. For each event, the index provided values and maps that reflected the dynamic processes of the catchment, regarding the functional and structural components of connectivity. The performance analysis of the index was qualitative, and it was carried out by means of a visual interpretation using field data on processes and sediment paths. The IHC map was coherent with the field data and it showed a satisfactory representation of the sediment transfer patterns. It was observed that the debris flow scars corresponded to the flow paths with higher IHC values and the deposition areas with the lower IHC values. In addition, the IHC values showed a positive correlation with the catchment flow values. Statistical analysis indicated a correlation between the mean IHC and the total runoff volume (+0.69) as well as between the mean IHC and the peak flow (+0.63). The IHC was able to estimate the space-time variation of water and sediment connectivity in a catchment, identifying locations of sediment transfer and deposition for precipitation events with different magnitudes. The modified method was able to bring advances to connectivity representation, however, it presented some limitations, such as the incapability to represent the sediment exhaustion in the catchment. Even so, the IHC allows its application in areas with little data and it can be a useful tool in identifying relevant sites on watershed management.

连通性的概念旨在了解流域内发生的水成沉积（水和沉积物）过程，并在不同的时空尺度上影响水和沉积物的转移。连通性通常通过连通性指标进行评估，通常仅考虑景观的结构特征。本研究提出将降水和地表径流特征作为连通性指数（IC）的功能组成部分。其主要目标是评估亚热带流域水和泥沙连通性的时空变化。为了实现这一目标，从降水量数据中提取了两个参数，并将这些参数插入到IC中，并得出水凝沉积连通性指数（IHC），这与径流的产生和前期降水事件的特征有关。在IHC是在流域尺度上测试了7个个人的降水事件。对于每个事件，该索引提供的值和地图反映了流域的动态过程，涉及到连通性的功能和结构组件。该指标的性能分析是定性的，它是使用过程和沉积路径的现场数据通过视觉解释进行的。所述IHC地图是相干与现场数据，并将其显示沉积物转移图案的令人满意的表示。观察到碎片流疤对应于具有较高IHC的流路值和具有较低IHC值的沉积区域。此外，IHC值与集水流量值呈正相关。统计分析表明，平均IHC与总径流量之间（+0.69）以及平均IHC与峰值流量（+0.63）之间存在相关性。该IHC能够估算流域内水和泥沙连通性的时空变化，并为不同幅度的降水事件确定泥沙输送和沉积的位置。改进后的方法能够在连通性表示方面取得进展，但是，它存在一些局限性，例如无法表示集水区的泥沙枯竭。即使这样，IHC仍可以将其应用在数据很少的地区，并且它可以作为识别流域管理相关地点的有用工具。