Modelagem hidrológica na bacia hidrográfica do Rio Aiuruoca, MG

Abstract

RESUMOA simulação do comportamento hidrológico de bacias hidrográficas consiste em uma das principais ferramentas na gestão dos recursos hídricos, devido à possibilidade de predição do regime fluvial. A bacia em estudo está localizada na região Alto Rio Grande, Sul de Minas Gerais, com área de drenagem de 2.094 km², constituindo uma das bacias fundamentais de drenagem para o reservatório da Usina Hidrelétrica de Camargos (UHE -Camargos/CEMIG). Neste contexto se objetivou desenvolver e aplicar um modelo hidrológico semi-conceitual, na forma semi-distribuída, para simular o comportamento hidrológico da bacia do Rio Aiuruoca, com apoio dos SIGs e sensoriamento remoto, disponibilizando uma ferramenta útil para o gerenciamento e planejamento dos recursos hídricos na região. Os resultados do coeficiente estatístico de Nash-Sutcliffe (C NS ) foram de 0,87 e 0,92 para as etapas de calibração e verificação, respectivamente, o que, de acordo com a classificação proposta para modelos hidrológicos de simulação, permite qualificá-lo para simulação do comportamento hidrológico na bacia hidrográfica do Rio Aiuruoca. Palavras-chave: hidrologia, escoamento, modelos hidrológicosHydrologic modeling in the Aiuruoca river basin, Minas Gerais State ABSTRACTThe hydrological simulation of watersheds is one of the most important tools for water resources management due to the possibility of flow regime prediction. The Aiuruoca river basin is located in the Alto Rio Grande Basin, southern Minas Gerais State, with 2,094 km 2 of drainage area, and is very important drainage basin into the Camargos Hydropower Plant Reservoir (UHE -Camargos/CEMIG). In this context, this work had the objective of developing and applying a semi-conceptual hydrologic model, in semi-distributed approach, for hydrologic simulation in the Aiuruoca river basin, based on GIS and Remote Sensing tools, thus creating an important tool for management and planning of water resources in the region. The Nash-Sutcliffe coefficients (C NS ), respectively, for calibration and validation periods, were 0.87 and 0.92, showing that the model is able to simulate the hydrologic impacts on the basin, predicting its condition for feeding of the Camargos Reservoir.

Hydrological simulation using SWAT model in headwater basin in Southeast Brazil

“…The years 1995 and 1996 were used as model warm-up period, since initial conditions were unknown. Warm-up period is aimed at stabilizing initial conditions of soil water (VIOLA et al, 2009;CIBIN et al, 2010), which was observed from second year of simulation (Figure 2). …”

“…To evaluate model accuracy based on E NS coefficient, van LIEW et al (2007) classification was adopted and used by several authors (VIOLA et al, 2009;DURÃES et al, 2011, ANDRADE et al, 2013. According to this classification, E NS value = 1 means perfect fit data simulated by the model; E NS > 0.75 (model is suitable and good); 0.36 <E NS <0.75 model is satisfactory and <0.36 model is not satisfactory.…”

“…Impact assessments on water resources is one of the most relevant factors of hydrological models, which are fundamental tools for a basin planning and management (VIOLA et al, 2009). ANDRADE et al (2013) report that hydrological models can be applied to evaluate management strategies for water resources and basin response to periodic climatic variations, project floods, real time floods.…”

“…ANDRADE et al (2013) report that hydrological models can be applied to evaluate management strategies for water resources and basin response to periodic climatic variations, project floods, real time floods. From an agricultural standpoint, hydrological simulation is an important tool for water resource management, characterizing grant flow for the irrigation projects (VIOLA et al, 2009). This characterization allows us to assess, in a preliminary way, water availability for irrigated agriculture, taking as reference Q 90 and Q 95 flows, for example.…”

Modelagem da erosão hídrica nas bacias hidrográficas dos rios Lontra e Manoel Alves Pequeno, Tocantins

“…O clima predominante dessa região é subúmido, com deficiência de água moderada no inverno, megatérmico (Sousa, 2016). A temperatura média anual é de 25 ºC, com precipitação média anual de 1.852 mm (Viola et al, 2012).…”