2008
DOI: 10.1016/j.catena.2008.03.018
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A pragmatic approach to modelling soil and water conservation measures with a catchment scale erosion model

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Cited by 30 publications
(13 citation statements)
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“…Simulation of the effect of physical SWC measures (bunds and diversion channels) on sediment yield with the Soil and Water Assessment Tool (SWAT) in the upper blue Nile basin by Lemann et al (2016a) estimated an average sediment yield reduction of 54% while Dagnew et al (2015) found a 57% decrease in suspended sediment concentration (SSC) at Debremewi sub-watershed in NW Ethiopian highlands. A similar study in Kenya reported by Hessel and Tenge (2008) show that LISEM-simulated physical SWC scenarios decreased erosion by 60% in an agricultural catchment. Subhatu et al (2017) estimated 32-37 t ha -1 y -1 soil loss using the USLE in treated catchment of Minichet, North Ethiopian highlands.…”
Section: The Effect Of Swc Measures On Rate and Patterns Of Soil Erosionsupporting
confidence: 74%
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“…Simulation of the effect of physical SWC measures (bunds and diversion channels) on sediment yield with the Soil and Water Assessment Tool (SWAT) in the upper blue Nile basin by Lemann et al (2016a) estimated an average sediment yield reduction of 54% while Dagnew et al (2015) found a 57% decrease in suspended sediment concentration (SSC) at Debremewi sub-watershed in NW Ethiopian highlands. A similar study in Kenya reported by Hessel and Tenge (2008) show that LISEM-simulated physical SWC scenarios decreased erosion by 60% in an agricultural catchment. Subhatu et al (2017) estimated 32-37 t ha -1 y -1 soil loss using the USLE in treated catchment of Minichet, North Ethiopian highlands.…”
Section: The Effect Of Swc Measures On Rate and Patterns Of Soil Erosionsupporting
confidence: 74%
“…For instance, the simulation of the effect of physical SWC measures (bunds and diversion channels) on sediment yield with SWAT (Soil and Water Assessment Tool) in the upper blue Nile basin by Lemann et al (2016) estimated an average sediment yield reduction of 54% while Dagnew et al (2015) found a 57% decrease in SSC in Debremewi sub-watershed. A similar study in Kenya reported by Hessel and Tenge (2008) show that LISEM simulated physical SWC scenarios decreased erosion by 60% in an agricultural catchment. Another study by Hessel and Tenge (2008) found a 60% decrease in sediment yield prediction with LISEM in the Loess plateau, China.…”
Section: Brief Answer To the Research Questionssupporting
confidence: 73%
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“…LISEM was originally developed to protect the intensively used agricultural loess soils in the region of Limburg (Netherlands) against soil erosion. Since then, the model has been steadily improved and successfully applied in other regions (Hessel and Tenge, ; Jetten et al ., ). Process description in LISEM is based on the algorithms of the EURopean Soil Erosion Model (EUROSEM) (Morgan et al ., ); however, in contrast to EUROSEM, the raster approach is used for spatial discretisation.…”
Section: Methodsmentioning
confidence: 96%
“…Both models have been widely used in different studies; e.g. LISEM in Jetten and De Roo (1999); Takken et al (1999); Hessel (2005); Hessel and Tenge (2008); Stolte et al (2005); Hessel et al (2003); Nearing et al (2005); Hengsdijk et al (2005); Sheikh et al (2010) and EROSION 3D e.g. in Werner (1995); Schmidt and Werner (2000); Michael et al (2005); Schob et al (2006); Schindewolf and Schmidt (2009); Köthe (2010); 2.…”
Section: Introductionmentioning
confidence: 99%