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This final master work presents the results of the evaluation of the model Dynamic Water Balance (DWB) model at daily scale to simulate runoff in tropical watersheds. The present project used as input dataset information generated in the framework of the 2018 National Water Study developed by IDEAM. Therefore, 30 out of 497 watersheds area selected to be assessed in this study. The selection of the watersheds is made through the unsupervised k-means classification algorithm that considered morphometric, hydroclimatological, demographic, and geographic variables and their relationship with a variable that quantified the change in land cover. Thus, 8 clusters or groups of watersheds with similar behavior and heterogeneous characteristics are identified.The 30 selected watersheds were subjected to hydrological modeling with DWB following the hydrological modeling protocol. Then, the uncertainty given by the model parameters is evaluated.Given the results found in the literature review, a multi-objective function combining the KGE and RVE is adopted to improve the daily runoff performance, emphasizing the representation of the flow duration curve which was the major advantage identified by the model developers at the daily scale.The process of evaluating the results showed that the DWB model can reproduce the flow duration curves except for low flows. When evaluating the temporal representation through analysis of the objective function, the model yields very good to satisfactory results in more than 70% of the watersheds in clusters 1, 5, 7 and 8, these basins with good results are located mainly in the mountains.As a general result, this work led to the identification of opportunities for adapting the DWB model to a daily simulation of runoff. It is identified that the hydrologic routing process should be included and for this purpose two strategies are suggested: [1] the inclusion of a hydrologic routing based on the convolution of the unit hydrograph that has been implemented in other parsimonious hydrologic models and [2] the coupling with external algorithms that have been designed to perform this process.

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