TY - BOOK ID - 64931090 TI - Rainfall Erosivity in Soil Erosion Processes AU - Diodato, Nazzareno AU - Bellocchi, Gianni PY - 2020 SN - 3039288059 3039288040 PB - MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Mann–Kendall test KW - GCMs KW - morphological characteristics KW - erosivity density KW - splash distance KW - erosion control KW - Greece KW - Tibetan Plateau KW - mulching KW - full-scale testing KW - regional climate models KW - spatial and temporal pattern KW - simulated rainfall KW - climate change KW - Loess Plateau KW - fractal dimension KW - river basin KW - runoff KW - Central Asia KW - erosive rainfall KW - parsimonious modeling KW - rainfall peak KW - laboratory-scale testing KW - raindrop energy KW - sediment yield KW - net soil erosion KW - water quality KW - quantile regression forests KW - soil aggregate KW - rainfall erosivity KW - soil erosion UR - https://www.unicat.be/uniCat?func=search&query=sysid:64931090 AB - This book gathers recent international research on the association between aggressive rainfall and soil loss and landscape degradation. Different contributions explore these complex relationships and highlight the importance of the spatial patterns of precipitation intensity on land flow under erosive storms, with the support of observational and modelling data. This is a large and multifaceted area of research of growing importance that outlines the challenge of protecting land from natural hazards. The increase in the number of high temporal resolution rainfall records together with the development of new modelling capabilities has opened up new opportunities for the use of large-scale planning and risk prevention methods. These new perspectives should no longer be considered as an independent research topic, but should, above all, support comprehensive land use planning, which is at the core of environmental decision-making and operations. Textbooks such as this one demonstrate the significance of how hydrological science can enable tangible progress in understanding the complexity of water management and its current and future challenges. ER -