Rainfall partitioning plays a key role in the ecosystem water cycle and watershed water balance, and understanding its processes in the Taihang Mountains is essential for optimizing afforestation strategies and improving water resource management. Various afforestation species have been introduced since the implementation of ecological restoration projects, yet their effects on rainfall partitioning remain unclear. In this study, we used field observations and the Revised Gash model to investigate rainfall partitioning and its influencing factors among typical species in the Taihang Mountains. The results showed that the interception percentage, throughfall percentage, and stemflow percentage of different species at the study site ranged from 8.1% to 28.7%, 69.6% to 90.9%, and 0.9% to 10.5% of total rainfall, respectively. Rainfall amount was the most significant factor affecting rainfall partitioning, while rainfall duration and rainfall intensity had less impact on rainfall partitioning. The Revised Gash model was effectively parameterized for this region, with the relative error of the validation model for simulating typical vegetation interception ranging from -11.9% to 10.2%. The calculation method for the average evaporation rate of the canopy in the Revised Gash model affected the accuracy of interception simulations, with the Penman-Monteith method () providing better interception loss simulations for P. bungeana, while the mean method () was recommended for other species. Under extreme heavy rainfall events, interception loss ranged from 6.5% to 27.0% among different species. The Revised Gash model parameterized using the mean method () achieved relative errors ranging from -26.9% to 7.2% in simulating interception loss under extreme heavy rainfall events across different species. For all species, interception loss during and after rainfall accounted for the largest proportion, comprising 92.83% to 98.40% of interception loss. Compared to native species, economic species exhibited higher interception capacities, suggesting their more significant potential to influence rainfall partitioning and hydrological processes in the Taihang Mountains. In summary, evaluating the rainfall partitioning of typical species in this region has scientific significance for assessing hydrological processes and selecting afforestation species.
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