Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/14943
metadata.revistascielo.dc.title: Applicability of the SWAT model for hydrologic simulation in Paraopeba river basin, MG
metadata.revistascielo.dc.title.alternative: The SWAT model for hydrologic simulation in Paraopeba river basin, MG
Aplicabilidade do modelo SWAT para simulação hidrológica na bacia hidrográfica do rio Paraopeba, MG
metadata.revistascielo.dc.creator: Durães, Matheus Fonseca
Mello, Carlos Rogério de
Naghettini, Mauro
metadata.revistascielo.dc.subject: Hydrology modeling
Land cover
Basin management
Modelagem hidrológica
Cobertura vegetal
Manejo de bacias hidrográficas
metadata.revistascielo.dc.publisher: Universidade Federal de Lavras (UFLA)
metadata.revistascielo.dc.date: 12-May-2015
metadata.revistascielo.dc.identifier.citation: DURÃES, M. F.; MELLO, C. R. de; NAGHETTINI, M. Applicability of the SWAT model for hydrologic simulation in Paraopeba river basin, MG. CERNE, Lavras, v. 17, n. 4, p. 481-488, Oct./Dec. 2011.
metadata.revistascielo.dc.description.resumo: The SWAT model (Soil and Water Assessment Tool) was applied for simulating the hydrologic pattern of Paraopeba river basin, in Minas Gerais state, under different land use and occupation scenarios, looking to support basin management actions. The model parameters were calibrated and validated, with respect to the data observed from 1983 to 2005. The basin was assessed at the ‘Porto do Mesquita’ gauging station and change in land use and occupation was based on the annual growth scenarios proposed in the partial report of Paraopeba basin’s master plan. The model was found to be highly sensitive to basefl ow, its main calibration variable. Statistical analyses produced a Nash-Sutcliffe coeffi cient above 0.75, which is considered good and acceptable. The SWAT model provided satisfactory results in simulating hydrologic pattern under different scenarios of land use change, demonstrating that it can be applied for forecasting discharge in the aforesaid basin. The current land use scenario provided a peak discharge simulation of 1250 m³ s-1, while in years 2019 and 2029 peak discharge simulations were 1190 m³ s-1 and 1230 m³ s-1 respectively. The 2019 scenario provided the best results with respect to basefl ow increase and peak discharge reduction.
metadata.revistascielo.dc.language: eng
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