Abstract
ABSTRACT Hydrological models are tools which describe processes and allow predicting the results of making management decisions, and are an important water resource management tool, especially for small-sized watersheds. This work had as an objective to test different calibration strategies and apply the SWAT model for hydrological simulation of the Mortes River Basin, MG. We evaluated 6 fluviometric stations, with drainage area between 272 and 6070 km² for purposes of water resource management. The evaluation of the model performance was conducted by using Nash-Sutcliffe coefficients (CNS) and percent bias (PBIAS). The results obtained from the statistic indices applied in the analysis of the model performance qualified the SWAT hydrological model as adequate for streamflow simulation in the Mortes River Basin. The adopted strategies attest to the applicability of the model as a management tool for water resources planning for other small-sized watersheds without data, in order to plan for rational water use.
Highlights
The economic and technological development and accelerated population growth have generated a series of conflicts over natural resources, with water use being the most common of these
The watershed is divided into sub-basins, which are subdivided into hydrologic response units (HRU’s)
The results obtained from the statistical indices applied in the model performance analysis found the hydrological SWAT model as appropriate for the simulation of the streamflow in the Mortes River watershed
Summary
The economic and technological development and accelerated population growth have generated a series of conflicts over natural resources, with water use being the most common of these. The recent problems of water supply and the increasing pressure of occupation and degradation of river basins have generated research demand regarding the changes in the hydrological dynamics of watersheds. The detailing of the physical characteristics by the linkage of geoprocessing and remote sensing techniques has led to improved modeling of hydrologic systems. In this context, hydrological models of conceptual and distributed bases present themselves as an important tool for water resource management, with the possibility of applying them for streamflow forecasting, assessment of climate scenarios, soil use and studies on water availability (Viola et al, 2012), among others
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