ARS | Publication request: A SIMPLE HYDROLOGIC MODEL FOR WATER RESOURCES SIMULATION ON GRANDE RIVER BASIN, MINAS GERAIS STATE, BRAZIL

Submitted to: Proceedings for CIGR World Congress Meetings
Publication Type: Abstract
Publication Acceptance Date: June 30, 2008
Publication Date: August 31, 2008
Citation: Viola, M.R., De Mello, C.R., Norton, L.D., Da Silva, A.M., Weimar Junior, F. 2008. A simple hydrologic model for water resources simulation on Grande River basin, Minas Gerais state, Brazil [abstract]. In: Proceedings of XXXVII Brazilian Congress on Agricultural Engineering. CIGAR International Conference of Agricultural Engineering. August 31 - September 4, 2008. Foz do Iguaco, Parana, Brazil. Paper No. 0681. CDROM.

Technical Abstract: The hydrological simulation on watersheds is one of the most important tools for water resources management due to possibility of flow regime prediction. Grande River Basin is located in south of Minas Gerais State, and the Rio Grande is the main tributary of basin which has 2080 km2 draining into the Camargos Hydropower Plant Reservoir (CEMIG). The objective of this work was to create a semi-physically based hydrologic model in semi-distributed to sub-basins approach and based on GIS and Remote Sensing tools, thus creating an important tool for management and planning of water resources for region. The hydrologic model is based on the SCS Curve Number (SCS-CN) as modified by Mishra et al. (2006) and MGB/IPH models, and structured into three hydrologic components: estimation of the flow components, propagation into the respective soil reservoirs (surface, sub-surface and shallow saturated zone) and propagation into channels. Precipitation and discharge data sets were obtained from the Brazilian National Water Agency (ANA). Reference evapotranspiration (ETo) data were obtained from the Brazilian National Meteorological Institute (INMET) for just one location. In order to estimate actual evapotranspiration, crop coefficient, soil moisture and satellite image interpretation were applied. Long-term hydrologic series were structured for period between 1990 and 2003. Model calibration phase was carried out applying data set of 1990 ¿ 2000, using the Nash-Sutcliffe Coefficient (CNS) to evaluate the model performance. A validation period (split simple test) was carried out applying the calibrated model to the period of 2001 ¿ 2003. The statistical precision showed that the model was able to simulate the hydrologic behavior on Grande River Basin, with CNS greater than 0.8 for both calibration and validation phases.