Rainfall erosivity: An historical review
Rainfall erosivity is the capability of rainfall to cause soil loss from hillslopes by water.
Modern definitions of rainfall erosivity began with the development of the Universal Soil Loss …
Modern definitions of rainfall erosivity began with the development of the Universal Soil Loss …
Rainfall erosivity: An overview of methodologies and applications
Core Ideas The R factor was developed in the various versions of the USLE. Research on
rainfall erosivity estimation methods, map**, and temporal trends is summarized. The …
rainfall erosivity estimation methods, map**, and temporal trends is summarized. The …
[HTML][HTML] Rainfall erosivity in Europe
Rainfall is one the main drivers of soil erosion. The erosive force of rainfall is expressed as
rainfall erosivity. Rainfall erosivity considers the rainfall amount and intensity, and is most …
rainfall erosivity. Rainfall erosivity considers the rainfall amount and intensity, and is most …
[HTML][HTML] Fire severity and soil erosion susceptibility map** using multi-temporal Earth Observation data: The case of Mati fatal wildfire in Eastern Attica, Greece
In recent years, forest fires have increased in terms of frequency, extent and intensity,
especially in Mediterranean countries. Climate characteristics and anthropogenic …
especially in Mediterranean countries. Climate characteristics and anthropogenic …
Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale
Rainfall kinetic energy (RKE) constitutes one of the most critical factors that drive rainfall
erosivity on surface soil. Direct measurements of RKE are limited, relying instead on the …
erosivity on surface soil. Direct measurements of RKE are limited, relying instead on the …
Models for estimating daily rainfall erosivity in China
The rainfall erosivity factor (R) represents the multiplication of rainfall energy and maximum
30 min intensity by event (EI 30) and year. This rainfall erosivity index is widely used for …
30 min intensity by event (EI 30) and year. This rainfall erosivity index is widely used for …
[HTML][HTML] Estimation of rainfall erosivity factor in Italy and Switzerland using Bayesian optimization based machine learning models
This study aimed to evaluate the estimation accuracy of rainfall erosivity (R-factor) in Italy
and Switzerland through five Machine learning (ML) models (Decision Tree (DT), K-Nearest …
and Switzerland through five Machine learning (ML) models (Decision Tree (DT), K-Nearest …
Projections of rainfall erosivity in climate change scenarios for mainland China
This study focuses on improving the accuracy of projections for future rainfall erosivity by
selecting five CMIP6-based and bias-adjusted Global Climate Models (GCMs) in China …
selecting five CMIP6-based and bias-adjusted Global Climate Models (GCMs) in China …
Increasing trends in rainfall erosivity in the Yellow River basin from 1971 to 2020
Hourly precipitation data from 1971 to 2020, collected from 98 stations distributed across the
Yellow River basin, were analyzed to detect changes in characteristics on rainfall and …
Yellow River basin, were analyzed to detect changes in characteristics on rainfall and …
Unravelling the future changes in rainfall erosivity over India under shared socio-economic pathways
S Das, MK Jain - Catena, 2023 - Elsevier
The rainfall erosivity index or R-factor is a climate-driven parameter affecting soil erosion.
We studied the spatial distribution of rainfall erosivity over India for the historical (1951 …
We studied the spatial distribution of rainfall erosivity over India for the historical (1951 …