• Mi Re-Unir
    Búsqueda Avanzada
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Ver ítem 
    •   Inicio
    • RESULTADOS DE INVESTIGACIÓN
    • Otras Publicaciones: artículos, libros...
    • Ver ítem
    •   Inicio
    • RESULTADOS DE INVESTIGACIÓN
    • Otras Publicaciones: artículos, libros...
    • Ver ítem

    Methodology for the study of the traceability of runoff water feeding reservoirs

    Autor: 
    Ortega, LM
    ;
    Ramos, MI
    ;
    Enríquez, Carlos
    ;
    Cubillas, Juan José
    Fecha: 
    01/09/2023
    Palabra clave: 
    D8 algorithm; olive orchards; QGIS plugin; rainfall maps; reservoir basin; water traceability
    Revista / editorial: 
    iwa publishing
    Journal of Hydroinformatics
    Citación: 
    Ortega, L. M., Ramos, M. I., Enríquez Turiño, C., & José Cubillas Mercado, J. (2023). Methodology for the study of the traceability of runoff water feeding reservoirs. Journal of Hydroinformatics, 25(5), 1927-1948.
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/17555
    DOI: 
    https://doi.org/10.2166/hydro.2023.092
    Dirección web: 
    https://iwaponline.com/jh/article/25/5/1927/97224/Methodology-for-the-study-of-the-traceability-of
    Open Access
    Resumen:
    Water reservoirs are essential to ensure water supply to both the population and agriculture, especially in the Mediterranean basin. In some cases, analyses of water intended for human consumption have detected high levels of agrochemicals. Knowing the possible origin of these products is complex because there may be many agricultural plots within the reservoir basin. In this paper, we introduce a methodology to obtain the set of agricultural plots whose rainwater reaches the reservoir and in what proportion they affect the points where chemical analyses are performed. The method implements an extension of the D8 algorithm for the calculation of the drainage network, in which additional information about the land-use type of the area, as well as rainfall maps, are also considered. In order to facilitate the user's analysis of the data, a plugin has been implemented in QGIS. This allows usability and easy interaction with the visual information. The Rumblar reservoir basin, located in Andalusia (Spain) has been studied as a use case, surrounded by olive orchards. The result is a replicable methodology for any other water reservoir and for carrying out an individualized study of agricultural plots.
    Mostrar el registro completo del ítem
    Ficheros en el ítem
    icon
    Nombre: jh0251927.pdf
    Tamaño: 1.495Mb
    Formato: application/pdf
    Ver/Abrir
    Este ítem aparece en la(s) siguiente(s) colección(es)
    • Otras Publicaciones: artículos, libros...

    Estadísticas de uso

    Año
    2012
    2013
    2014
    2015
    2016
    2017
    2018
    2019
    2020
    2021
    2022
    2023
    2024
    2025
    Vistas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    7
    73
    Descargas
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    0
    1
    43

    Ítems relacionados

    Mostrando ítems relacionados por Título, autor o materia.

    • Use of 3D models as a didactic resource in archaeology. A case study analysis 

      Arias, Francisco; Enriquez, Carlos; Jurado, Juan Manuel; Ortega, Lydia; Romero-Manchado, Antonio; Cubillas, Juan José (Heritage Science, 2022)
      The generation of 3D models through Terrestrial Laser Scanning has proved to be valuable tools for the study, documentation and recreation of archaeological remains. In this context, it is described how to generate a ...
    • A Machine Learning Model for Early Prediction of Crop Yield, Nested in a Web Application in the Cloud: A Case Study in an Olive Grove in Southern Spain 

      Cubillas, Juan José; Ramos, Maria I.; Jurado, Juan Manuel; Feito, F.R. (Agriculture, 2022)
      Predictive systems are a crucial tool in management and decision-making in any productive sector. In the case of agriculture, it is especially interesting to have advance information on the profitability of a farm. In this ...
    • Use of Data Mining to Predict the Influx of Patients to Primary Healthcare Centres and Construction of an Expert System 

      Cubillas, Juan José; Ramos, Maria I.; Feito, F.R. (Applied Sciences (Switzerland), 2022)
      In any productive sector, predictive tools are crucial for optimal management and decision-making. In the health sector, it is especially important to have information available in advance, as this not only means optimizing ...

    Mi cuenta

    AccederRegistrar

    ¿necesitas ayuda?

    Manual de UsuarioContacto: reunir@unir.net

    Listar

    todo Re-UnirComunidades y coleccionesPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de accesoEsta colecciónPor fecha de publicaciónAutoresTítulosPalabras claveTipo documentoTipo de acceso






    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja
     
    Aviso Legal Política de Privacidad Política de Cookies Cláusulas legales RGPD
    © UNIR - Universidad Internacional de La Rioja