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Hydrological Modelling the Middle Magdalena Valley (Colombia)
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  • Maria Cristina Arenas Bautista,
  • Arboleda Obando Pedro Felipe,
  • Duque Gardeazabal Nicolas,
  • Guadagnini Alberto,
  • Riva Monica,
  • Donado Garzón Leonardo David
Maria Cristina Arenas Bautista

Corresponding Author:mcarenasb@unal.edu.co

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Arboleda Obando Pedro Felipe
Universidad Nacional de Colombia Facultad de Ingenieria
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Duque Gardeazabal Nicolas
Universidad Nacional de Colombia Facultad de Ingenieria
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Guadagnini Alberto
Politecnico di Milano Dipartimento di Ingegneria Civile e Ambientale
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Riva Monica
Politecnico di Milano Dipartimento di Ingegneria Civile e Ambientale
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Donado Garzón Leonardo David
Universidad Nacional de Colombia Facultad de Ingenieria
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Abstract

Hydrological distributed modeling is a key point for a comprehensive assessment of the feedback between the dynamics of the hydrological cycle, climate conditions, and land use. Such modeling results are markedly relevant in the fields of water resources management. Here TopModel (TOPography based hydrological MODEL) is employed for the hydrological modeling of an area in the Middle Magdalena Valley (MMV), a tropical basin located in Colombia. This study is located in the intertropical convergence zone and is characterized by special meteorological conditions, with fast water fluxes over the year. It has been subject to significant land use changes, as a result of intense economic activities, i.e., agriculture, energy and oil & gas production. The model employees a record of 12 years of: • Daily precipitation database from observed gauges • Daily evapotranspiration database from temperature data • Streamflow database as observed data from calibration Calibration is performed using data from 2000 to 2008, and validation is performed with data from 2009 to 2012. The Nash-Sutcliffe coefficient is used to assess the robustness of our calibration process.(values of this metric being 0.62 and 0.53, respectively for model calibration and validation). The results reveal high water storage capacity in the soil, and a marked subsurface runoff, consistent with the characteristics of the soil types in the regions. The calibrated model provides relevant indications about recharge in the region, which is important to quantify the interaction between surface water and groundwater, especially during the dry season, which is more relevant in climate-change and climate-variability scenarios.