Analysis of the Asymmetric Characteristic of Extreme Rainfall Erosivity in 8 Provinces of Southern China during 1961–2020

The roles of rainfall with various intensities in hydraulic erosion processes are obviously different. In-depth knowledge about the spatiotemporal variation extreme erosivity is critical for soil risk assessment and formulation response measures. In period 1961–2020, more than 390,000 erosive data from 212 meteorological stations were collected to explore characteristics different across southern China. asymmetric characteristic was analyzed expressed by an change index (ACI) defined this study. Correlation analysis applied study impact global climate events on ACI. results showed that patterns precipitation had evident erosivity, fewer high-intensity contributed much higher total particularly rainstorms (≥100 mm). ACI exhibited spatial heterogeneity; insignificant increasing trends found ACIs heavy rainfall, torrential, rainstorm erosivities over past 60 years. rate varied greatly both monthly interdecadal scales, maximum linear trend long-time scale. There significantly high correlations between days (p < 0.01), correlation coefficients relatively May October, where concentrated. Additionally, El Niño-Southern Oscillation tropical cyclones clearly influenced distribution but limited specific periods regions. These could provide a reference event monitoring control