• español
    • English
  • Login
  • español 
    • español
    • English

UniversidaddeCádiz

Área de Biblioteca, Archivo y Publicaciones
Comunidades y colecciones
Ver ítem 
  •   RODIN Principal
  • Producción Científica
  • Artículos Científicos
  • Ver ítem
  •   RODIN Principal
  • Producción Científica
  • Artículos Científicos
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.

Spatio-temporal analysis of geomorphic recovery along an altered ephemeral stream using automated image processing

Thumbnail
Identificadores

URI: http://hdl.handle.net/10498/32610

DOI: 10.1016/J.GEOMORPH.2024.109069

ISSN: 0169-555X

Ficheros
OA_2024_0292.pdf (9.451Mb)
Estadísticas
Ver estadísticas
Métricas y Citas
 
Compartir
Exportar a
Exportar a MendeleyRefworksEndNoteBibTexRIS
Metadatos
Mostrar el registro completo del ítem
Autor/es
Rabanaque, Maria Pilar; Martínez-Fernández, Vanesa; Calle, Mikel; Castillo López, OlegarioAutoridad UCA; Benito, Gerardo
Fecha
2024
Departamento/s
Ingeniería Industrial e Ingeniería Civil
Fuente
Geomorphology, Vol. 450, 2024
Resumen
Ephemeral rivers in the Mediterranean region have been exposed to significant human disturbance over the last century. Recently, there has been a growing interest in restoring their morpho-sedimentary condition, backed by the European Water Framework Directive. Previous research has highlighted the severe geomorphic impacts of sediment extraction, such as reduced channel width and riverbed incision, but the recovery of these channels during annual flows remains poorly understood. This study presents a methodological framework to investigate geomorphologic recovery (signs of landform change) and constraints in the Rambla de Cervera (eastern Spain) from 2018 to 2021. Aerial imagery, LiDAR topography, and field surveys were used for stream segmentation, fluvial landform classification, temporal landform change, and comparison with flow characteristics from a 2D hydraulic model. The study identified three groups of segments with different channel types and recovery mechanisms. Upstream (G1), unconfined valley settings showed minor changes, indicating morphological stability. Middle segments in confined valleys (G2) showed greater alluvial channel recovery and vegetation encroachment in response to flood/no-flood periods. Downstream segments (G3), incised on cemented gravel, were highly responsive to floods but lacked landform stability due to high energy conditions. The findings suggest that channel recovery during annual floods is slow and occurs mainly downstream in degraded areas (G3). Increased sediment flux from upstream and additional sediment storage in new forms are required to recover these channels. This analysis underscores the challenge of interpreting short-term morpho-dynamic changes for long-term river recovery, but provides insight into the morpho-sedimentary conditions required to accelerate recovery of ephemeral streams.
Materias
Automatic segmentation; Ephemeral river; Gravel mining; Machine learning; River recovery; Sediment connectivity
Colecciones
  • Artículos Científicos [12009]
  • Articulos Científicos Ing. Ind. [96]
Atribución 4.0 Internacional
Esta obra está bajo una Licencia Creative Commons Atribución 4.0 Internacional

Listar

Todo RODINComunidades y ColeccionesPor fecha de publicaciónAutoresTítulosMateriasEsta colecciónPor fecha de publicaciónAutoresTítulosMaterias

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso

Información adicional

Acerca de...Deposita en RODINPolíticasNormativasDerechos de autorEnlaces de interésEstadísticasNovedadesPreguntas frecuentes

RODIN está accesible a través de

OpenAIREOAIsterRecolectaHispanaEuropeanaBaseDARTOATDGoogle Académico

Enlaces de interés

Sherpa/RomeoDulcineaROAROpenDOARCreative CommonsORCID

RODIN está gestionado por el Área de Biblioteca, Archivo y Publicaciones de la Universidad de Cádiz

ContactoSugerenciasAtención al Usuario