University of Tabriz Water and Soil Science 2008-5133 25 1-4 2016 02 20 Investigation on Changes of Heavy Metals Concentrations in the Alluvial Sediments of Sungun Copper Mine, East Azerbaijan province, Iran Investigation on Changes of Heavy Metals Concentrations in the Alluvial Sediments of Sungun Copper Mine, East Azerbaijan province, Iran 143 155 4611 FA Somayyeh Aghili Abdolreza Vaezi Hir Mohammadreza Hoseinzadeh Adel Reyhani Tabar Journal Article 2014 11 21 In this study, performances of the hydrological model of Soil and Water Assessment Tool (SWAT) and support vector machine (SVM) in monthly simulating the runoff of Lighvanchai river were evaluated. After collecting the required data, the models were calibrated and verified. The SUFI-2 algorithm was used for uncertainty analysis of the SWAT model. The discharge of the Urmia lake basin was simulated using SWAT model and the results obtained for the Lighvan station were used in this study. The SVM model was applied using the rainfall and runoff data measured in the Lighvan station. In order to improve the results, the time series with different lag times were used. Three statistical criteria including coefficient of determination (<em>R²</em>), Nash-Sutcliffe coefficient (<em>NS</em>) and root mean square error (<em>RMSE</em>) were used to evaluate the performances of the models. The results revealed the ability of the both models in simulating the discharge of Lighvanchai river. However, the SWAT model had better performance than SVM in simulating the maximum values of the runoff of Lighvanchai river with <em>NS </em>and <em>RMSE </em>values of 0.71 and 0.41 m³s^-1 respectively. In this study, performances of the hydrological model of Soil and Water Assessment Tool (SWAT) and support vector machine (SVM) in monthly simulating the runoff of Lighvanchai river were evaluated. After collecting the required data, the models were calibrated and verified. The SUFI-2 algorithm was used for uncertainty analysis of the SWAT model. The discharge of the Urmia lake basin was simulated using SWAT model and the results obtained for the Lighvan station were used in this study. The SVM model was applied using the rainfall and runoff data measured in the Lighvan station. In order to improve the results, the time series with different lag times were used. Three statistical criteria including coefficient of determination (<em>R²</em>), Nash-Sutcliffe coefficient (<em>NS</em>) and root mean square error (<em>RMSE</em>) were used to evaluate the performances of the models. The results revealed the ability of the both models in simulating the discharge of Lighvanchai river. However, the SWAT model had better performance than SVM in simulating the maximum values of the runoff of Lighvanchai river with <em>NS </em>and <em>RMSE </em>values of 0.71 and 0.41 m³s^-1 respectively. https://water-soil.tabrizu.ac.ir/article_4611_94c911fde7b4182fa173b57e4d275b98.pdf