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

Article English OPEN
Patricia Jimeno-Sáez; Javier Senent-Aparicio; Julio Pérez-Sánchez; David Pulido-Velazquez;
  • Publisher: MDPI AG
  • Journal: Water (issn: 2073-4441)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.3390/w10020192
  • Subject: Soil and Water Assessment Tool (SWAT) | Artificial Neural Network (ANN) | data imputation | runoff simulation | hydrologic modelling | Hydraulic engineering | TC1-978 | Water supply for domestic and industrial purposes | TD201-500

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 c... View more
Share - Bookmark