Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model

Erosive processes influence on several phenomena. In particular, they could influence on land depletion, on vegetation weakening, on aggradation phenomena of intermediate, and plain reaches of rivers, on waterways interruption due to overaggradation phenomena caused by floods, and on the losses of w...

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Main Authors: Carmine Covelli, Luigi Cimorelli, Danila Nicole Pagliuca, Bruno Molino, Domenico Pianese
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Hydrology
Subjects:
gis
Online Access:https://www.mdpi.com/2306-5338/7/1/13
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spelling doaj-5c95ab5569634329bcaf02123c4dff7a2020-11-25T02:16:18ZengMDPI AGHydrology2306-53382020-02-01711310.3390/hydrology7010013hydrology7010013Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE ModelCarmine Covelli0Luigi Cimorelli1Danila Nicole Pagliuca2Bruno Molino3Domenico Pianese4Department of Biotechnology and Territory, University of Molise, 86100 Campobasso, ItalyDepartment of Civil, Architectural and Environmental Engineering, Federico II University, 80134 Naples, ItalyDepartment of Civil, Architectural and Environmental Engineering, Federico II University, 80134 Naples, ItalyDepartment of Biotechnology and Territory, University of Molise, 86100 Campobasso, ItalyDepartment of Civil, Architectural and Environmental Engineering, Federico II University, 80134 Naples, ItalyErosive processes influence on several phenomena. In particular, they could influence on land depletion, on vegetation weakening, on aggradation phenomena of intermediate, and plain reaches of rivers, on waterways interruption due to overaggradation phenomena caused by floods, and on the losses of water volumes that may be stored in reservoirs. Among the models proposed in the literature for the prediction of erosion on the annual scale, one of the most widely used is the Revised Universal Soil Loss Equation (RUSLE). In the present paper, starting from the definition of the original model, the authors improved the important combined slope length and slope angle (LS-factor), taking into account the mutual interaction of solid particles, in terms of path and confluences, so as to transform the model, which was first classified on a slope scale or at most on a parcel one, into a distributed model on a basin scale. The use of a distributed approach is an integral part of the analysis of the hydrogeological risk. In this way, it is possible to obtain a map of the erodibility of any basin, from which to derive the most vulnerable areas. The proposed methodology has been tested on the Camastra Basin, located in Basilicata Region of Southern Italy.https://www.mdpi.com/2306-5338/7/1/13river catchmentsoil erosiondistributed modelrusle modells factorgishydrogeological risk
collection DOAJ
language English
format Article
sources DOAJ
author Carmine Covelli
Luigi Cimorelli
Danila Nicole Pagliuca
Bruno Molino
Domenico Pianese
spellingShingle Carmine Covelli
Luigi Cimorelli
Danila Nicole Pagliuca
Bruno Molino
Domenico Pianese
Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model
Hydrology
river catchment
soil erosion
distributed model
rusle model
ls factor
gis
hydrogeological risk
author_facet Carmine Covelli
Luigi Cimorelli
Danila Nicole Pagliuca
Bruno Molino
Domenico Pianese
author_sort Carmine Covelli
title Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model
title_short Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model
title_full Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model
title_fullStr Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model
title_full_unstemmed Assessment of Erosion in River Basins: A Distributed Model to Estimate the Sediment Production over Watersheds by a 3-Dimensional LS Factor in RUSLE Model
title_sort assessment of erosion in river basins: a distributed model to estimate the sediment production over watersheds by a 3-dimensional ls factor in rusle model
publisher MDPI AG
series Hydrology
issn 2306-5338
publishDate 2020-02-01
description Erosive processes influence on several phenomena. In particular, they could influence on land depletion, on vegetation weakening, on aggradation phenomena of intermediate, and plain reaches of rivers, on waterways interruption due to overaggradation phenomena caused by floods, and on the losses of water volumes that may be stored in reservoirs. Among the models proposed in the literature for the prediction of erosion on the annual scale, one of the most widely used is the Revised Universal Soil Loss Equation (RUSLE). In the present paper, starting from the definition of the original model, the authors improved the important combined slope length and slope angle (LS-factor), taking into account the mutual interaction of solid particles, in terms of path and confluences, so as to transform the model, which was first classified on a slope scale or at most on a parcel one, into a distributed model on a basin scale. The use of a distributed approach is an integral part of the analysis of the hydrogeological risk. In this way, it is possible to obtain a map of the erodibility of any basin, from which to derive the most vulnerable areas. The proposed methodology has been tested on the Camastra Basin, located in Basilicata Region of Southern Italy.
topic river catchment
soil erosion
distributed model
rusle model
ls factor
gis
hydrogeological risk
url https://www.mdpi.com/2306-5338/7/1/13
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