Literature DB >> 29532173

Soil erodibility mapping using the RUSLE model to prioritize erosion control in the Wadi Sahouat basin, North-West of Algeria.

Abderrezak Kamel Toubal1, Mohammed Achite2, Sylvain Ouillon3, Abdelatif Dehni4.   

Abstract

Soil losses must be quantified over watersheds in order to set up protection measures against erosion. The main objective of this paper is to quantify and to map soil losses in the Wadi Sahouat basin (2140 km2) in the north-west of Algeria, using the Revised Universal Soil Loss Equation (RUSLE) model assisted by a Geographic Information System (GIS) and remote sensing. The Model Builder of the GIS allowed the automation of the different operations for establishing thematic layers of the model parameters: the erosivity factor (R), the erodibility factor (K), the topographic factor (LS), the crop management factor (C), and the conservation support practice factor (P). The average annual soil loss rate in the Wadi Sahouat basin ranges from 0 to 255 t ha-1 year-1, maximum values being observed over steep slopes of more than 25% and between 600 and 1000 m elevations. 3.4% of the basin is classified as highly susceptible to erosion, 4.9% with a medium risk, and 91.6% at a low risk. Google Earth reveals a clear conformity with the degree of zones to erosion sensitivity. Based on the soil loss map, 32 sub-basins were classified into three categories by priority of intervention: high, moderate, and low. This priority is available to sustain a management plan against sediment filling of the Ouizert dam at the basin outlet. The method enhancing the RUSLE model and confrontation with Google Earth can be easily adapted to other watersheds.

Keywords:  Algeria; Erosion; GIS; Model Builder; RUSLE; Remote sensing; Wadi Sahouat

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Year:  2018        PMID: 29532173     DOI: 10.1007/s10661-018-6580-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  7 in total

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Journal:  Environ Monit Assess       Date:  2012-05-29       Impact factor: 2.513

2.  Geostatistical uncertainty modelling for the environmental hazard assessment during single erosive rainstorm events.

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Journal:  Environ Monit Assess       Date:  2005-06       Impact factor: 2.513

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4.  Environmental and economic costs of soil erosion and conservation benefits.

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Journal:  Science       Date:  1995-02-24       Impact factor: 47.728

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Journal:  Environ Monit Assess       Date:  2007-09-05       Impact factor: 2.513

6.  Soil loss estimation and prioritization of sub-watersheds of Kali River basin, Karnataka, India, using RUSLE and GIS.

Authors:  Vipin Joseph Markose; K S Jayappa
Journal:  Environ Monit Assess       Date:  2016-03-11       Impact factor: 2.513

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Journal:  Environ Manage       Date:  2016-09-07       Impact factor: 3.266

  7 in total
  3 in total

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Journal:  Environ Monit Assess       Date:  2018-10-18       Impact factor: 2.513

2.  Prediction of water erosion sensitive areas in Mediterranean watershed, a case study of Wadi El Maleh in north-west of Algeria.

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Journal:  Environ Monit Assess       Date:  2018-11-20       Impact factor: 2.513

3.  Distribution of Shrubland and Grassland Soil Erodibility on the Loess Plateau.

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Journal:  Int J Environ Res Public Health       Date:  2018-06-07       Impact factor: 3.390

  3 in total

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