Natural and anthropogenic controls on soil erosion in the Internal Betic Cordillera (southeast Spain)

Bellin, Nicolas; Vanacker, Veerle; Wesemael, Bas van; Solé‐Benet, Albert; Bakker, Martha

doi:10.1016/j.catena.2011.05.022

Cited by 59 publications

(52 citation statements)

References 54 publications

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“…Sediment trapped and stored behind sediment trapping measures can be used to estimate sediment yield produced by upper catchments (White et al, 1997;Verstraeten & Poesen, 2002;Bellin et al, 2011;Sougnez et al, 2011;Baade et al, 2012). In this study, the annual sediment yield of the investigated sub-catchments ranged from 8.6-55 t ha -1…”

Section: Sediment Trapped By Sediment Storage Dams and Catchment Sedimentioning

confidence: 90%

“…Catchment sediment yield can be estimated by measuring the retained sediment in dams, reservoirs, check dams and ponds constructed at the outlet of a catchment (White et al, 1997;Verstraeten & Poesen, 2002;Tamene et al, 2006b;Haregeweyn et al, 2008;Bellin et al, 2011;Sougnez et al, 2011;Baade et al, 2012). In this study, SY generated from the sub-catchments was estimated by measuring the deposited or trapped sediment behind the SSDs built at the outlets of the sub-catchments and estimating the untrapped sediment using the STE.…”

Section: = *mentioning

confidence: 99%

“…For instance, the deposited sediment behind check dams was used to estimate soil loss from its upstream catchments (Bellin et al, 2011;Sougnez et al, 2011;Romero-Diaz et al, 2012). In this study soil loss in the upstream catchments was estimated at 8.6-55 t ha -1 y -1…”

Section: Sediment Trapped By Sediment Storage Dams and Catchment Sedimentioning

confidence: 99%

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Sustaining reservoir use through sediment trapping in NW Ethiopia

Getahun¹

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Section: Sediment Trapped By Sediment Storage Dams and Catchment Sedimentioning

confidence: 90%

Section: = *mentioning

confidence: 99%

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Sustaining reservoir use through sediment trapping in NW Ethiopia

Getahun¹

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“…Some examples of SY studies based on sedimentation deposits in small reservoirs are McManus and Duck [1985], Van den Wall Blake [1986], Neil and Mazari [1993], Foster and Walling [1994], White et al [1996], and, more recently, Romero-Díaz et al [2007], BoixFayos et al [2008], Sougnez et al [2011] and Bellin et al [2011].…”

Section: Reservoir Sedimentationmentioning

confidence: 99%

“…Giving the annual average simulated flow (2.05 Hm 3 ) and the reservoir storage capacity (3,000 m 3 ), the Brune curves provide a TE value ranging between 44% and 68%, with a median of 57%, which is reasonably close to the value provided by the model. Nevertheless, the Brown equation, used in Bellin et al [2011] andin Boix-Fayos et al [2008], provides a lower value, equal to 33%. The STEP model was able to reproduce the event-to-event trap efficiency variability, providing a time-variable value which could not be computed with simpler sediment trap efficiency equations such as the Brown or Brune approaches.…”

Section: Temporal Validation Of the Sedimentological Submodelmentioning

confidence: 99%

Implementation of a distributed sediment model in different data availability scenarios.

Bussi¹

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Soil erosion by water can cause agricultural soil losses, desertification, water pollution, reservoir sedimentation, local excess of erosion (such as bridge scour) or deposition, etc. For this reason, the assessment of soil erosion and sediment transport is a key component of integrated catchment management. One of the most useful and up-to-date tools available to catchment managers for soil erosion and sediment transport assessment is distributed modelling. During the last few decades, many sedimentological distributed models were developed and applied for a wide range of climates and basins. Their main advantage is that they allow spatial interpolation or extrapolation of their results. Nevertheless, their use is still limited by some constraints. One of the most relevant limitations to the use of such models is the lack of recorded sediment transport data to be used for model calibration and validation. It is widely recognised that both sediment discharge series and soil erosion measurements are only available in a few and small-to medium-size experimental catchments. The aim of this dissertation is to investigate the possibility of using reservoir sedimentation data as a source of proxy information for sedimentological model calibration and validation. In order to carry out this task, a distributed sedimentological model called TETIS was tested in set of catchments with different sediment data availability. First of all, the TETIS model, developed over the last years by the research group of hydrological and environmental modelling of the Technical University of Valencia, is described, especially focusing on the new features developed within this dissertation (sedimentological sub-model automatic calibration algorithm, small pond sediment retention module, etc.). Then, the model is applied to three catchments with different sediment data availability. The first case-study is the Goodwin Creek catchment (Mississippi, US), an experimental catchment with high sediment transport data availability. The model performance is evaluated, and some considerations are made on the estimation of the sediment volume deposited into the drainage network at the beginning of a rainstorm. The second case-study is the Rambla del Poyo catchment (Valencia, Spain), a medium size semi-arid catchment draining to a coastal lagoon with severe sedimentation problems. The TETIS sedimentological sub-model is calibrated and validated using checkdam sedimentation volumes as an estimator of the total sediment transport. A detailed description of the alluvial stratigraphy infilling a check dam that drains a 12.9 km 2 subcatchment was used as indirect information of sediment yield data. A further application was also developed in this catchment in order to investigate the possibility of calibrating and validating both the hydrological and the sediment sub-models by using reservoir sedimentation volumes and employing neither water nor sediment discharge direct records. The third case-study is the Ésera River catchment (Huesca, Spain), a...

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Structural Control on the Landscape Evolution of Son Alluvial Fan System in Ganga Foreland Basin

Pandey

Ray

Arora

et al. 2021

Advances in Remote Sensing for Natural Resource Monitoring

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Natural and anthropogenic controls on soil erosion in the Internal Betic Cordillera (southeast Spain)

Abstract: El artículo seleccionado no se encuentra disponible por ahora a texto completo por no haber sido facilitado todavía por el investigador a cargo del archivo del mismo.

Cited by 59 publications

References 54 publications

Sustaining reservoir use through sediment trapping in NW Ethiopia

Sustaining reservoir use through sediment trapping in NW Ethiopia

Implementation of a distributed sediment model in different data availability scenarios.

Structural Control on the Landscape Evolution of Son Alluvial Fan System in Ganga Foreland Basin

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