Modelación del recurso hídrico en la cuenca del río La Vieja en Colombia

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The document details the application of the Water Evaluation And Planning (WEAP) system to model the La Vieja river basin, covering an area of approximately 2,880 km2 across the departments of Quindío, Valle del Cauca, and Risaralda. The model incorporates 37 watercourses, 16 human consumption demands, and 4 hydroelectric demands. By utilizing a soil moisture rain-runoff method and calibrating parameters such as runoff resistance and hydraulic conductivity, the project established a framework to evaluate 1,728 scenarios involving climate variability and demographic changes. This process aims to support regional environmental authorities in formulating adaptation strategies for water resource planning through 2050.

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  • The hydrological model of the La Vieja river basin was developed using the WEAP tool, incorporating 37 direct and indirect tributary watercourses, 16 water demands for human consumption, and 4 demands for hydroelectric generation on the Quindío river.
  • The study area of the La Vieja river basin covers approximately 2,880 km2, distributed across the departments of Quindío (68%), Valle del Cauca (22%), and Risaralda (10%), with a general water yield of 34.34 l/s/km2 and an annual water supply of 2,975.74 Mm3.
  • The modeling utilized a quasi-physical one-dimensional soil moisture rain-runoff method, which represents the soil matrix as two buckets to simulate hydrological phenomena.
  • Model calibration at the Cartago station of the La Vieja River showed a good correlation between simulated and observed flows, with statistical indices of Nash=0.78 and BIAS=2.88.
  • The most influential parameters for adjusting flow responses in the model are the runoff resistance factor (RRF), which ranged from 3.00 to 6.50, and the root zone hydraulic conductivity (Ks), which ranged from 90mm to 180mm.
  • A hypothesis was formulated regarding a potential interaction between the river and the 'Glacis del Quindío' aquifer system, suggesting the river may be losing water to the aquifer, which could explain poor correlations at the bocatoma EPA measuring station.
  • Using the XLRM analytical methodology, the project defined 1,728 scenarios to evaluate uncertainties—including climate, demographics, per capita consumption, water loss, and agricultural dynamics—and adaptation strategies such as wastewater treatment plants and multipurpose reservoirs.

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APA
Stockholm Environment Institute (2014). Modelación del recurso hídrico en la cuenca del río La Vieja en Colombia. https://www.sei.org/mediamanager/documents/Publications/Water-sanitation/SEI-USAID-FS-2014-Modelacion-recurso-hidrico-rio-La-Vieja-Colombia.pdf
Chicago
Stockholm Environment Institute. Modelación del recurso hídrico en la cuenca del río La Vieja en Colombia. 2014. https://www.sei.org/mediamanager/documents/Publications/Water-sanitation/SEI-USAID-FS-2014-Modelacion-recurso-hidrico-rio-La-Vieja-Colombia.pdf.
Wikipedia
{{cite report |author=Stockholm Environment Institute |title=Modelación del recurso hídrico en la cuenca del río La Vieja en Colombia |date=2014 |url=https://www.sei.org/mediamanager/documents/Publications/Water-sanitation/SEI-USAID-FS-2014-Modelacion-recurso-hidrico-rio-La-Vieja-Colombia.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{stockholmenvironmentinstitute2014modelacin, author = {{Stockholm Environment Institute}}, title = {{Modelación del recurso hídrico en la cuenca del río La Vieja en Colombia}}, institution = {Stockholm Environment Institute}, year = {2014}, url = {https://www.sei.org/mediamanager/documents/Publications/Water-sanitation/SEI-USAID-FS-2014-Modelacion-recurso-hidrico-rio-La-Vieja-Colombia.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

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