Abstract. Rainfall erosivity values are required for soil erosion prediction. To calculate the mean annual rainfall (R), long-term high-resolution observed data required, which often not available. overcome issue of limited availability in space and time, four methods were employed evaluated: direct regionalisation R, 5 min rainfall, disaggregation daily into time steps, a regionalised stochast...

Soil erosion is one of the most critical environmental hazards in the world. Understanding the changes in rainfall erosivity (RE) and erosivity density (ED), as well as their affecting factors, at local and catchment scales in the context of climate warming is an important prerequisite of soil erosion prevention and soil loss risk assessment. The present study identified the variability and tre...

Abstract. Despite recent developments in modeling global soil erosion by water, to date, no substantial progress has been made towards more dynamic inter- and intra-annual assessments. In this regard, the main challenge is still represented limited availability of high temporal resolution rainfall data needed estimate erosivity. As will most likely not increase future decades since monitoring n...

Abstract There have been many studies on rainfall erosivity and density (ED). However, it was not widely developed in Indonesia as a tropical country has unique precipitation patterns. They are indicators for assessing the potential risk of soil erosion. The Air Bengkulu Watershed is undergoing severe land degradation due to This study aimed analyze spatial-temporal ED based monthly data (mm). ...