Javascript must be enabled to continue!
Refining Rainfall Erosivity Estimation: Methodological improvements towards more accurate soil erosion assessments
View through CrossRef
Rainfall erosivity is a fundamental parameter in estimating soil erosion as it quantifies the potential of raindrops to detach soil particles and make them available for subsequent transport by surface runoff. Erosivity depends mainly on the intensity, duration, and energy of precipitation events, which directly affect the impact of raindrops on the soil surfaces and runoff. The most common methods for identifying erosive events emphasize short-duration, high-intensity rainfall events, while introducing critical thresholds for characterizing erosive events, such as the 30-minute maximum rainfall intensity (I30) and storm separation criteria (see e.g. Wischmeier and Smith, 1978, Foster et al., 1981 and Renard et al., 1997).Nevertheless, both historical and recently proposed frameworks occasionally consolidate rainfall events that should be disaggregated according to the established six-hour dry period threshold, leading to overestimation of rainfall event durations and erosivity factors. The present study aims at refining the identification and analysis of erosive rainfall events, a key component of soil erosion prediction, by introducing an alternative approach that strictly adheres to the original criteria introduced by Wischmeier and Smith (1978) and Renard et al. (1997), ensuring precise segmentation of rainfall events when rainfall accumulation is below the 1.27 mm threshold over a six-hour period.The proposed method classifies rainfall events as erosive when total rainfall exceeds 12.7 mm or meets intensity thresholds of 6.4 mm in 15 minutes or 12.7 mm in 30 minutes. Comparative analysis with existing approaches demonstrates improved alignment with fundamental criteria while addressing modern computational challenges, contributing to the advancement of soil erosion prediction by bridging historical methodologies with contemporary analytical precision.ReferencesWischmeier, W.H., Smith, D. D. (1978) Predicting rainfall erosion losses: A guide to conservation planning. Agric. Handb. 537. US Gov. Print. Office, Washington, DC.Foster, G.R., McCool, D.K., Renard, K.G., Moldenhauer, W.C. (1981) Conversion of the universal soil loss equation to SI metric units. J. Soil Water Conserv. 36, 355–359.Renard, K., Foster, G., Weesies, G., McCool, D. and Yoder, D. (1997) Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). US Department of Agriculture, Agriculture Handbook No.703USDA, USDA, Washington DC.
Copernicus GmbH
Title: Refining Rainfall Erosivity Estimation: Methodological improvements towards more accurate soil erosion assessments
Description:
Rainfall erosivity is a fundamental parameter in estimating soil erosion as it quantifies the potential of raindrops to detach soil particles and make them available for subsequent transport by surface runoff.
Erosivity depends mainly on the intensity, duration, and energy of precipitation events, which directly affect the impact of raindrops on the soil surfaces and runoff.
The most common methods for identifying erosive events emphasize short-duration, high-intensity rainfall events, while introducing critical thresholds for characterizing erosive events, such as the 30-minute maximum rainfall intensity (I30) and storm separation criteria (see e.
g.
Wischmeier and Smith, 1978, Foster et al.
, 1981 and Renard et al.
, 1997).
Nevertheless, both historical and recently proposed frameworks occasionally consolidate rainfall events that should be disaggregated according to the established six-hour dry period threshold, leading to overestimation of rainfall event durations and erosivity factors.
The present study aims at refining the identification and analysis of erosive rainfall events, a key component of soil erosion prediction, by introducing an alternative approach that strictly adheres to the original criteria introduced by Wischmeier and Smith (1978) and Renard et al.
(1997), ensuring precise segmentation of rainfall events when rainfall accumulation is below the 1.
27 mm threshold over a six-hour period.
The proposed method classifies rainfall events as erosive when total rainfall exceeds 12.
7 mm or meets intensity thresholds of 6.
4 mm in 15 minutes or 12.
7 mm in 30 minutes.
Comparative analysis with existing approaches demonstrates improved alignment with fundamental criteria while addressing modern computational challenges, contributing to the advancement of soil erosion prediction by bridging historical methodologies with contemporary analytical precision.
ReferencesWischmeier, W.
H.
, Smith, D.
D.
(1978) Predicting rainfall erosion losses: A guide to conservation planning.
Agric.
Handb.
537.
US Gov.
Print.
Office, Washington, DC.
Foster, G.
R.
, McCool, D.
K.
, Renard, K.
G.
, Moldenhauer, W.
C.
(1981) Conversion of the universal soil loss equation to SI metric units.
J.
Soil Water Conserv.
36, 355–359.
Renard, K.
, Foster, G.
, Weesies, G.
, McCool, D.
and Yoder, D.
(1997) Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE).
US Department of Agriculture, Agriculture Handbook No.
703USDA, USDA, Washington DC.
Related Results
A framework of abrupt changes and trends detection for rainfall erosivity
A framework of abrupt changes and trends detection for rainfall erosivity
<p>Rainfall erosivity&#160;(R factor), in the Universal Soil Loss Equation (USLE) , a climate index, is&#160;used worldwide to&#160;assess and...
Rainfall erosivity estimation using gridded daily precipitation
datasets
Rainfall erosivity estimation using gridded daily precipitation
datasets
Abstract. Rainfall erosivity is one of the most important factors incorporated into the empirical soil erosion models USLE (Universal Soil Loss Equation) and RUSLE (Revised Univers...
Annual and Seasonal Characteristics of Rainfall Erosivity in the Eastern Rhodopes (Bulgaria)
Annual and Seasonal Characteristics of Rainfall Erosivity in the Eastern Rhodopes (Bulgaria)
Rainfall, with its intensity, duration, and seasonal distribution, is among the main factors causing soil erosion, which is a widespread environmental problem in Bulgaria. Rainfall...
Digital modeling of erosion soil cover patterns development over the last 300 years (Moscow region, Russia)
Digital modeling of erosion soil cover patterns development over the last 300 years (Moscow region, Russia)
<p>Digital modeling of soil erosion has been actively developed in recent decades, including for solving practical problems of agriculture. This paper presents a new ...
Projected changes in US erosivity
Projected changes in US erosivity
Abstract. Downscaled rainfall projections from 21 climate models from the CMIP5 archive are used to estimate future changes in rainfall erosivity in the continental Unites States. ...
Analysis of heavy-rainfall-induced fast soil erosion: examples the NE Abruzzo clayey hills (Central Italy)
Analysis of heavy-rainfall-induced fast soil erosion: examples the NE Abruzzo clayey hills (Central Italy)
<p>Soil erosion induced by heavy rainfall deeply affects landscape changes and human activities. It depends on rainfall distribution (e.g., intensity, duration, cumul...
Two-dimensional hydrodynamic robust numerical model of soil erosion based on slopes and river basins
Two-dimensional hydrodynamic robust numerical model of soil erosion based on slopes and river basins
<div>
<div>
<div>
<p>Erosion is an important issue in soil science and is related to many environmental problems, such as so...
Extent of Cropland and Related Soil Erosion Risk in Rwanda
Extent of Cropland and Related Soil Erosion Risk in Rwanda
Land conversion to cropland is one of the major causes of severe soil erosion in Africa. This study assesses the current cropland extent and the related soil erosion risk in Rwanda...

