Methodology for the study of the traceability of runoff water feeding reservoirs
Autor:
Ortega, LM
; Ramos, MI
; Enríquez, Carlos
; Cubillas, Juan José
Fecha:
01/09/2023Palabra clave:
Revista / editorial:
iwa publishingJournal 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:
articleDirección web:
https://iwaponline.com/jh/article/25/5/1927/97224/Methodology-for-the-study-of-the-traceability-ofResumen:
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.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
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 ...