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dc.contributor.authorBhattacharyya, Ranjan
dc.contributor.authorSmets, T.
dc.contributor.authorFullen, Michael A.
dc.contributor.authorPoesen, Jean
dc.contributor.authorBooth, Colin A.
dc.date.accessioned2010-06-25T14:16:59Z
dc.date.available2010-06-25T14:16:59Z
dc.date.issued2010
dc.identifier.citationCatena, 81(3): 184-195
dc.identifier.issn03418162
dc.identifier.doi10.1016/j.catena.2010.03.003
dc.identifier.urihttp://hdl.handle.net/2436/106839
dc.descriptionMetadata only
dc.description.abstractDespite geotextiles having potential for soil conservation, limited scientific data are available to assess the effects of geotextiles in reducing runoff and water erosion. Hence, the objective of this review is to analyse the effects of plot length (L) and other possible affecting factors [cover percentage (C, %), slope gradient (S), rainfall duration (D), rainfall intensity (I), sand, silt and clay contents, soil organic matter (SOM) content and geotextile type (natural or synthetic)] on the effectiveness of geotextiles in reducing soil and water loss, based on reported experimental data. From linear regressions, C (%) and soil sand, silt and clay contents are found to be the most important variables in reducing SLR (ratio of soil loss in bare plots to that in geotextile treated plots) for splash, C (%) for interrill and D (min) for rill and interrill erosion processes, respectively. Soil clay and silt contents and D are key variables in decreasing RR (ratio of runoff from bare plots to that from geotextile treated plots) for interrill, and clay content for rill and interrill erosion processes, respectively. The linear relationship between mean b-value (geotextile effectiveness factor in reducing soil loss) and L of all studies was not significant (PN0.05). The same is true for the relationship between L and SLR, and L and RR. However, when L is added to an equation as an interaction term with C (%), geotextile cover is significantly (Pb0.05) more effective in reducing SLR on shorter plots than longer ones for both interrill and rill and interrill erosion processes. Buffer strip plots (area coverage ∼10%) with Borassus and Buriti mats have the highest b-values.
dc.language.isoen
dc.publisherElsevier
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0341816210000329
dc.subjectGeotextiles
dc.subjectCover percentage
dc.subjectPlot length
dc.subjectSoil loss ratio
dc.subjectRunoff ratio
dc.subjectBuffer strips
dc.titleEffectiveness of geotextiles in reducing runoff and soil loss: A synthesis
dc.typeJournal article
dc.identifier.journalCatena
html.description.abstractDespite geotextiles having potential for soil conservation, limited scientific data are available to assess the effects of geotextiles in reducing runoff and water erosion. Hence, the objective of this review is to analyse the effects of plot length (L) and other possible affecting factors [cover percentage (C, %), slope gradient (S), rainfall duration (D), rainfall intensity (I), sand, silt and clay contents, soil organic matter (SOM) content and geotextile type (natural or synthetic)] on the effectiveness of geotextiles in reducing soil and water loss, based on reported experimental data. From linear regressions, C (%) and soil sand, silt and clay contents are found to be the most important variables in reducing SLR (ratio of soil loss in bare plots to that in geotextile treated plots) for splash, C (%) for interrill and D (min) for rill and interrill erosion processes, respectively. Soil clay and silt contents and D are key variables in decreasing RR (ratio of runoff from bare plots to that from geotextile treated plots) for interrill, and clay content for rill and interrill erosion processes, respectively. The linear relationship between mean b-value (geotextile effectiveness factor in reducing soil loss) and L of all studies was not significant (PN0.05). The same is true for the relationship between L and SLR, and L and RR. However, when L is added to an equation as an interaction term with C (%), geotextile cover is significantly (Pb0.05) more effective in reducing SLR on shorter plots than longer ones for both interrill and rill and interrill erosion processes. Buffer strip plots (area coverage ∼10%) with Borassus and Buriti mats have the highest b-values.


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