Extreme rainfall is occurring more frequently, and its impacts on erosion can be effectively mitigated through soil horizons, which enhance infiltration and reduce surface runoff. However, the interactive effects of rainfall and landscapes on soil moisture responses remain unclear. The objective of this study was to quantify the interactive influence of rainfall patterns and landscape positions (upslope US, midslope MS, and downslope DS) on event-scale moisture response metrics across various soil depths. Results indicated that the moisture response magnitude ( Δ s, m 3 m −3 ) generally decreased with increasing soil depth and decreasing slope position, while exhibiting a positive correlation with rainfall amount. The response percentage peaked during heavy rainfall within shallow layers (0–20 cm), whereas it remained limited to around 14% under light and moderate events. Moreover, the simultaneous moisture peak across soil layers, or earlier peaks in deeper layers during heavy rainfall events, was observed at all positions. For slope with lower initial moisture (S1), the response metrics at US and MS were slightly greater than those of Slope 2 (S2). However, no significant differences were observed at the DS position between S1 and S2, indicating that the influence of the slope length cannot be ignored. Overall, MS and DS positions were critical for explaining response variance, while rainfall type was the key factor for moisture dynamics across all depths. These findings suggest that the response timing and regimes of peak moisture in diverse soil layers should be considered to effectively manage erosion risks. • Response magnitude, time, and velocity were analyzed across soil layers on long hillslopes. • Downslope position exhibit greater soil moisture responses to rainfall across the soil profile. • Wetter conditions and higher slope positions show the greatest soil moisture variations during rainfall. • Slope position explains the response magnitude, while rainfall type drives response variance with soil depth.
Zhou et al. (Tue,) studied this question.