Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (southern Italy)

Onori, Filippo; Bonis, Piero De; Grauso, Sergio

doi:10.1007/s00254-006-0286-1

Cited by 101 publications

(49 citation statements)

References 13 publications

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“…The topographic characteristics of the study area may explain the higher value of the upper limit of flow length, 192 m, than that estimated by Renard et al (1997) in experimental plots, 122 m. The mean and maximum values of the LS factor estimated for the study area are quite similar to those obtained by Onori et al (2006) in a mountainous catchment in Sicily (Italy), with mean and maximum values of 3.9 and 62.2. However, in mountains of Palestine, Hammad et al (2004) estimated a mean value for the topographic factor of 0.36, which is lower than the mean value for the Estaña catchment.…”

Section: Topography Factor (Ls) Mapsupporting

confidence: 70%

Geomorphic mapping in endorheic catchments in the Spanish Pyrenees: An integrated GIS analysis of karstic features

2009

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A B S T R A C TDigital elevation models (DEMs) can be a useful tool to assess morphologically and hydrologically active processes. This paper presents a method to obtain accurate DEMs, an analysis of DEM errors and the benefits of GIS techniques for mapping geomorphological features and active processes in the karstic endorheic catchment with three permanent lakes (Estaña lakes) in the External Ranges of the Spanish Pyrenees. Field work revealed the lack of accuracy in the original DEM. A method was then proposed to obtain a hydrologically correct DEM using a Total Topographic Station (TTS) and a Global Positioning System (GPS). On a regular grid, 246 topographic points were recorded with a GPS and 237 points were measured with a TTS on areas of gentle slope. The mean and standard deviation of the error of the corrected DEM were -1.5 and 3.2 m, respectively. By using a combined flow algorithm, a flow accumulation map was derived from the corrected DEM and the study area was Hence, the proposed methodology including DEM correction is useful for an accurate assessment of topographical and geomorphological features in karstic environments.2

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Section: Topography Factor (Ls) Mapsupporting

confidence: 70%

Geomorphic mapping in endorheic catchments in the Spanish Pyrenees: An integrated GIS analysis of karstic features

2009

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“…The problem is prominent in Monsoon and Mediterranean regions where intensive agricultural practices and massive land use changes are taking place on erosion-prone hilly landscapes affected by concentrated seasonal rainfall [3][4][5][6][7]. In regions suffering from soil erosion, people often use simulation models to project soil erosion rates under varied environmental conditions and land use change scenarios in order to determine optimal, cost-effective soil erosion mitigation measures for vulnerable areas [8,9].…”

Section: Introductionmentioning

confidence: 99%

Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations

Choi

Arnhold

Huwe

et al. 2017

Water

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Abstract:In this paper, we present the Daily based Morgan-Morgan-Finney model. The main processes in this model are based on the Morgan-Morgan-Finney soil erosion model, and it is suitable for estimating surface runoff and sediment redistribution patterns in seasonal climate regions with complex surface configurations. We achieved temporal flexibility by utilizing daily time steps, which is suitable for regions with concentrated seasonal rainfall. We introduce the proportion of impervious surface cover as a parameter to reflect its impacts on soil erosion through blocking water infiltration and protecting the soil from detachment. Also, several equations and sequences of sub-processes are modified from the previous model to better represent physical processes. From the sensitivity analysis using the Sobol' method, the DMMF model shows the rational response to the input parameters which is consistent with the result from the previous versions. To evaluate the model performance, we applied the model to two potato fields in South Korea that had complex surface configurations using plastic covered ridges at various temporal periods during the monsoon season. Our new model shows acceptable performance for runoff and the sediment loss estimation (NSE ≥ 0.63, |PBIAS| ≤ 17.00, and RSR ≤ 0.57). Our findings demonstrate that the DMMF model is able to predict the surface runoff and sediment redistribution patterns for cropland with complex surface configurations.

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“…Las unidades de esta ecuación están dadas en toneladas por hectárea por año (Mg ha -1 año -1 ), y es el producto de seis factores: erodabilidad por la lluvia (R); erodabilidad del suelo (K), longitud de la pendiente (L), gradiente de la pendiente (S), uso del suelo y vegetación (C), y prácticas de conservación (P). H = RKLSCP (1) Esta fórmula ha sido ampliamente aplicada en la predicción de la erosión y planes de conservación en diferentes partes del mundo (Mitasova y Mitas, 1999;Onori et al, 2006;Montes-León et al, 2011) y la comparación con otros métodos ha sido discutida en varios trabajos (e.g. Phillips, 1991;Wasson et al, 1996;Faran Ali y De Boer, 2003;McKergow et al, 2005).…”

Section: Erosiónunclassified

Tasas de erosión e índices geomorfológicos en tres cuencas costeras al sur de la península de Baja California, México

Lozano¹,

Sánchez²,

Diéguez³

et al. 2012

BSGM

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Tasas de erosión e índices geomorfológicos 229 ResumenLas cuencas de drenaje costeras del sur de la península de Baja California forman parte importante en la estabilidad del sistema de celdas litorales de su costa, como fuentes principales de sedimentos. Las cuencas Migriño, El Salto y El Tule son vulnerables a la erosión debido a las pendientes empinadas del terreno y a su ubicación, ya que en esta parte de la península tienen mayor influencia las precipitaciones intensas asociadas a los huracanes que se presentan en verano. Con el uso de la fórmula RUSLE (Revised Universal Soil Loss Equation) y los índices geomorfológicos obtenidos mediante la aplicación de técnicas de SIG, se evaluó la distribución espacial de las tasas de erosión hídrica y su relación con las unidades litológicas, rasgos geomorfológicos, distribución de suelos y patrones estructurales. Esto permitió conocer el control que ejercen la distribución del suelo y los rasgos geomorfológicos sobre la distribución de tasas de erosión dentro de cada una de las cuencas de drenaje. Las tasas de erosión de moderadas (0.1 a 0.5 Mg ha -1 año -1 ) a altas (0.5 a 2 Mg ha -1 año -1 ) se asocian a pendientes iguales o mayores a 15º, (principalmente laderas de montañas) y a suelos tipo litosol-regosol; tasas de erosión bajas (0 -0.1 Mg ha -1 año -1 ) se asocian a pendientes menores a 5º (lomeríos y planicies), con suelos tipo regosol. El análisis de los índices geomorfológicos muestra que las cuencas de drenaje son jóvenes, asociadas a actividad neotectónica moderada a baja, evidenciada principalmente por el control estructural en la parte alta de las cuencas. En la parte media y baja de las cuencas los cambios en los índices geomorfológicos indican control estructural bajo, en donde se presentan procesos erosivos y de sedimentación. Tasas de erosión e índices geomorfológicos en tres cuencas costeras al sur de la península de Baja California, México

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Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (southern Italy)

Cited by 101 publications

References 13 publications

Geomorphic mapping in endorheic catchments in the Spanish Pyrenees: An integrated GIS analysis of karstic features

Geomorphic mapping in endorheic catchments in the Spanish Pyrenees: An integrated GIS analysis of karstic features

Daily Based Morgan–Morgan–Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations

Tasas de erosión e índices geomorfológicos en tres cuencas costeras al sur de la península de Baja California, México

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