DOI: 10.4995/thesis/10251/36534
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
2
0
4

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 148 publications
0
2
0
4
Order By: Relevance
“…This erosion that is more recurrent than landslides is often modelled as surface erosion via USLE parameterizations (e.g. Bussi (2014)) at event to seasonal scale. On the other hand, at geomorphology scale about centuries, dynamic colluvium storage is modelled as a simplified system in hollows or headwater streams, whose input comes by erosion and mass wasting, and whose output is just estimated by empirical coefficients (Allen & Hovius, 1998) and transited through the low order streams of the drainage network (Lee Benda & Dunne, 1997).…”
Section: Introductionmentioning
confidence: 99%
“…This erosion that is more recurrent than landslides is often modelled as surface erosion via USLE parameterizations (e.g. Bussi (2014)) at event to seasonal scale. On the other hand, at geomorphology scale about centuries, dynamic colluvium storage is modelled as a simplified system in hollows or headwater streams, whose input comes by erosion and mass wasting, and whose output is just estimated by empirical coefficients (Allen & Hovius, 1998) and transited through the low order streams of the drainage network (Lee Benda & Dunne, 1997).…”
Section: Introductionmentioning
confidence: 99%
“…ISSN online 2007-9621 Ramos Castillo, L. A., & Orozco Medina, I. Modelado de la producción de sedimentos en una cuenca con poca información incluyendo los potenciales efectos del cambio climático y el cambio de uso de suelo | 1-19 El submodelo sedimentológico de TETIS utiliza en la estimación de la capacidad del transporte en zonas de ladera (Qh) la ecuación de Kilinc y Richardson, modificada por Bussi (2014). Según Bussi (2014), la Ecuación 1 depende del caudal, la pendiente del terreno, el tipo de suelo y los usos de la tierra.…”
Section: A) B) C) D)unclassified
“…El submodelo sedimentológico utiliza de forma distribuida los parámetros K, C, P y los porcentajes de arena, limo y arcilla (Bussi, 2014). En la figura 6 se presentan los parámetros obtenidos para el submodelo sedimentológico, estimados usando información geográfica e imágenes de satélite.…”
Section: Calibración De Los Modelosunclassified
See 2 more Smart Citations