• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Stöbern

    Gesamter BestandBereicheErscheinungsdatumAutorenSchlagwortenTiteln

    Mein Benutzerkonto

    Einloggen

    Statistik

    Benutzungsstatistik

    Compartir

    Dokumentanzeige 
    •   UVaDOC Startseite
    • WISSENSCHAFTLICHE ARBEITEN
    • Departamentos
    • Dpto. Ciencias Agroforestales
    • DEP08 - Artículos de revista
    • Dokumentanzeige
    •   UVaDOC Startseite
    • WISSENSCHAFTLICHE ARBEITEN
    • Departamentos
    • Dpto. Ciencias Agroforestales
    • DEP08 - Artículos de revista
    • Dokumentanzeige
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/58864

    Título
    An assessment of the recent evolution of the streamflow in a near-natural system: a case study in the headwaters of the Mero basin (Galicia, Spain)
    Autor
    Rodríguez Blanco, María Luz
    Taboada Castro, María MercedesAutoridad UVA
    Taboada Castro, María Teresa
    Año del Documento
    2020
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    Hydrology, 2020, Vol. 7, Nº. 4, 97
    Zusammenfassung
    Observational trend analysis is fundamental for documenting changes in river flows and placing extreme events in their longer-term historical context. Observations from near-natural catchments, i.e., with little or no alteration by humans, are of great importance in detecting and attributing streamflow trends. The purpose of this study is to analyze the annual and seasonal trends of stream discharge (mean, low and high flows) in a headwater catchment in NW Spain, i.e., in the wettest corner of the Iberian Peninsula. The results showed no significant decrease in the mean annual stream discharge. However, significantly lower summer and autumn mean stream discharge and an increase in low flow period were detected, in addition to lesser autumn high flow. The rainfall pattern followed an upward trend, but was not significant. This different pattern shown by rainfall and discharge indicates that is not sufficient to explain the observed trend in stream discharge. Air temperature, most notably by enhancing evapotranspiration, may explain the altered patterns of stream discharge.
    Materias (normalizadas)
    Galicia (España) - Geografía
    Cursos de agua - España - Galicia
    Cuencas hidrográficas
    Materias Unesco
    2505 Geografía
    2508 Hidrología
    Palabras Clave
    Stream discharge
    Trend analysis
    ISSN
    2306-5338
    Revisión por pares
    SI
    DOI
    10.3390/hydrology7040097
    Patrocinador
    Xunta de Galicia (Proyecto CGL2014-56907-R)
    Ministerio de Economía, Industria y Competitividad (Proyecto CGL2014-56907-R)
    Version del Editor
    https://www.mdpi.com/2306-5338/7/4/97
    Propietario de los Derechos
    © 2020 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/58864
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP08 - Artículos de revista [84]
    Zur Langanzeige
    Dateien zu dieser Ressource
    Nombre:
    An-Assessment-of-the-Recent-of-the-Streamflow.pdf
    Tamaño:
    1.786Mb
    Formato:
    Adobe PDF
    Thumbnail
    Öffnen
    Atribución 4.0 InternacionalSolange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Atribución 4.0 Internacional

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10