A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain

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dc.contributor.author Jimeno Sáez, Patricia
dc.contributor.author Senent Aparicio, Javier
dc.contributor.author Pérez Sánchez, Julio
dc.contributor.author Pulido Velázquez, David
dc.date.accessioned 2021-04-22T15:19:37Z
dc.date.available 2021-04-22T15:19:37Z
dc.date.issued 2018-02-11
dc.identifier.citation Water (2018), vol.10, n.192, 19 p. es_ES
dc.identifier.issn 2073-4441
dc.identifier.uri http://hdl.handle.net/20.500.12468/984
dc.description.abstract Streamflow data are of prime importance to water-resources planning and management, and the accuracy of their estimation is very important for decision making. The Soil and Water Assessment Tool (SWAT) and Artificial Neural Network (ANN) models have been evaluated and compared to find a method to improve streamflow estimation. For a more complete evaluation, the accuracy and ability of these streamflow estimation models was also established separately based on their performance during different periods of flows using regional flow duration curves (FDCs). Specifically, the FDCs were divided into five sectors: very low, low, medium, high and very high flow. This segmentation of flow allows analysis of the model performance for every important discharge event precisely. In this study, the models were applied in two catchments in Peninsular Spain with contrasting climatic conditions: Atlantic and Mediterranean climates. The results indicate that SWAT and ANNs were generally good tools in daily streamflow modelling. However, SWAT was found to be more successful in relation to better simulation of lower flows, while ANNs were superior at estimating higher flows in all cases. es_ES
dc.description.sponsorship Departamento de Ingeniería Civil, Universidad Católica de Murcia, España es_ES
dc.description.sponsorship Unidad de Granada, Instituto Geológico y Minero de España, España es_ES
dc.language.iso en es_ES
dc.publisher MDPI es_ES
dc.relation Proyecto GESINHIMPADAPT (CGL2013-48424-C2-2-R) es_ES
dc.rights Acceso abierto es_ES
dc.subject Soil and Water Assessment Tool (SWAT) es_ES
dc.subject Artificial Neural Network (ANN) es_ES
dc.subject data imputation es_ES
dc.subject runoff simulation es_ES
dc.subject hydrologic modelling es_ES
dc.subject España es_ES
dc.title A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain es_ES
dc.type Postprint es_ES
dc.relation.publisherversion https://www.mdpi.com/2073-4441/10/2/192 es_ES
dc.description.funder Universidad Católica de Murcia, España es_ES
dc.identifier.doi https://doi.org/10.3390/w10020192 es_ES
dc.coverage.spatialStudy España es_ES


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