publication . Other literature type . Article . 2018

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

Patricia Jimeno Sáez; Julio Pérez-Sánchez; David Pulido-Velazquez;
Open Access
  • Published: 11 Feb 2018
  • Publisher: MDPI AG
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 s...
Subjects
free text keywords: Geography, Planning and Development, Aquatic Science, Biochemistry, Water Science and Technology, 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
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