A Review of RUSLE Model

Ghosal, Kaushik; Bhattacharya, Santasmita Das

doi:10.1007/s12524-019-01097-0

Cited by 136 publications

(74 citation statements)

References 58 publications

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“…The influence of silt fraction on susceptibility to erosion is generally well known. Soils show higher erodibility if the silt content is high, regardless of both other factions share (Stewart et al, 1975;Ghosal et al, 2020). According to Stewart et al (Stewart et al, 1975) sandy loams are over 2 times more susceptible to water erosion than loamy sands.…”

Section: Discussionmentioning

confidence: 99%

Soil erodibility factor (K) in soils under varying stages of truncation

Radziuk¹,

Świtoniak²

2021

Soil Sci. Ann.

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Soil erosion is the most widespread problem in soil management. It leads to changes in the properties of soil horizons, which in turn can also affect the pace of slope processes. This may be signifi cant problem in young morainic areas where truncation of clay-illuvial soils (Luvisols, Retisols) transforms both the organic carbon content and texture of arable horizons. Changes in soil susceptibility to erosion can be measured using the soil erodibility factor (K) widely used in erosional models. The aim of the submitted study is a calculation of the erodibility factor (K) for soils represented different stages of truncation in a hummocky landscape of Northern Poland. Erodibility factor was calculated using the formula of the Erosion Productivity Impact Calculator (EPIC) model. For assessment of the factor, soil profi les were divided into four groups, varying degrees of soil truncation: completely eroded, strongly eroded, slightly eroded and non-eroded arable soils, noneroded forest soils. In the course of the performed study, it was noted that the soil erodibility K factor values were between 0.0172-0.0352 t•ha•h•ha -1 •MJ -1 •mm -1 and depended on the stage of soil truncation. Properties of surface horizons of completely eroded soils accelerate erosion about 6% compared to strongly eroded and 12% to slightly eroded soils and even 48% as against non-eroded forest Luvisols/Retisols. The main factors affecting erodibility growth in truncated profi les was a revealed decrease in both -ccarbon content and sand fraction in humus horizons. Susceptibility to erosion was also increased by exposure of Bt or C(k) horizons richer in clay fraction.

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Section: Discussionmentioning

confidence: 99%

Soil erodibility factor (K) in soils under varying stages of truncation

Radziuk¹,

Świtoniak²

2021

Soil Sci. Ann.

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“…In this study, RUSLE 31 , 64 was used for estimating and predict SE. This is one of the universal pioneer methods for SE estimation and modelling 65 . It is recognized as an empirical model limited to calculating rill and inter-rill erosion, without considering gully erosion 21 .…”

Section: Methodsmentioning

confidence: 99%

“…The Slope length ( L ) and steepness ( S ) play vital roles in SE and reflect the potential contribution of topography in runoff and SE 65 . The LS factor was computed using the following equation 79 , 80 (Eq.…”

Section: Methodsmentioning

confidence: 99%

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

Hateffard

Mohammed

Alsafadi

et al. 2021

Sci Rep

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Soil erosion (SE) and climate change are closely related to environmental challenges that influence human wellbeing. However, the potential impacts of both processes in semi-arid areas are difficult to be predicted because of atmospheric variations and non-sustainable land use management. Thus, models can be employed to estimate the potential effects of different climatic scenarios on environmental and human interactions. In this research, we present a novel study where changes in soil erosion by water in the central part of Iran under current and future climate scenarios are analyzed using the Climate Model Intercomparison Project-5 (CMIP5) under three Representative Concentration Pathway-RCP 2.6, 4.5 and 8.5 scenarios. Results showed that the estimated annual rate of SE in the study area in 2005, 2010, 2015 and 2019 averaged approximately 12.8 t ha−1 y−1. The rangeland areas registered the highest soil erosion values, especially in RCP2.6 and RCP8.5 for 2070 with overall values of 4.25 t ha−1 y−1 and 4.1 t ha−1 y−1, respectively. They were followed by agriculture fields with 1.31 t ha−1 y−1 and 1.33 t ha−1 y−1. The lowest results were located in the residential areas with 0.61 t ha−1 y−1 and 0.63 t ha−1 y−1 in RCP2.6 and RCP8.5 for 2070, respectively. In contrast, RCP4.5 showed that the total soil erosion could experience a decrease in rangelands by − 0.24 t ha−1 y−1 (2050), and − 0.18 t ha−1 y−1 (2070) or a slight increase in the other land uses. We conclude that this study provides new insights for policymakers and stakeholders to develop appropriate strategies to achieve sustainable land resources planning in semi-arid areas that could be affected by future and unforeseen climate change scenarios.

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“…This limitation has been removed in the Revised Universal Soil Loss Equation (RUSLE) by taking into consideration the rainfall energy [15]. Recent research, integrating RUSLE in the Geographic Information System (GIS) and remote sensing techniques, aided by the ever-increasing power and efficiency of computers [26], enables estimating soil loss for large areas quickly and at a reasonable cost [27][28][29][30][31][32][33][34][35][36][37][38] in different climatic zones [39].…”

Section: Introductionmentioning

confidence: 99%

New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt

Othman¹,

Obaid

Ali

et al. 2021

IJGI

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Soil loss is one of the most important causes of land degradation. It is an inevitable environmental and socio-economic problem that exists in many physiographic regions of the world, which, besides other impacts, has a direct bearing on agricultural productivity. A reliable estimate of soil loss is critical for designing and implementing any mitigation measures. We applied the widely used Revised Universal Soil Loss Equation (RUSLE) in the Khabur River Basin (KhRB) within the NW part of the Zagros Fold and Thrust Belt (ZFTB). The areas such as the NW Zagros range, characterized by rugged topography, steep slope, high rainfall, and sparse vegetation, are most susceptible to soil erosion. We used the Digital Elevation Model (DEM) of the Shuttle Radar Topography Mission (SRTM), Tropical Rainfall Measuring Mission (TRMM), Harmonized World Soil Database (HWSD), and Landsat imagery to estimate annual soil loss using the RUSLE model. In addition, we estimated sediment yield (SY) at sub-basin scale, in the KhRB where a number of dams are planned, and where basic studies on soil erosion are lacking. Estimation of SY will be useful in mitigation of excessive sedimentation affecting dam performance and watershed management in this region. We determined the average annual soil loss and the SY in the KhRB to be 11.16 t.ha−1.y−1 and 57.79 t.ha−1.y−1, respectively. The rainfall and runoff erosivity (R factor), slope length (L factor), and slope steepness (S factor), are the three main factors controlling soil loss in the region. This is the first study to determine soil loss at the sub-basin scale along with identifying suitable locations for check dams to trap the sediment before it enters downstream reservoirs. The study provides valuable input data for design of the dams to prevent excessive siltation. This study also aims at offering a new approach in relating potential soil erosion to the actual erosion and hypsometric integrals.

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A Review of RUSLE Model

Cited by 136 publications

References 58 publications

Soil erodibility factor (K) in soils under varying stages of truncation

Soil erodibility factor (K) in soils under varying stages of truncation

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

New Insight on Soil Loss Estimation in the Northwestern Region of the Zagros Fold and Thrust Belt

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