Assessing the effectiveness of the use of the invest annual water yield model for the rivers of colombia: a case study of the meta river basin

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SUMMARY

[16] performed one of the largest scale hydrological modeling projects in the Magdalena River basin in Colombia, which obtained good results using global and in-situ hydrometeorological information as input for multiple hydrological models. For instance, used selection scores to choose a model for the Kangsabati River basin, where they compared five conceptual models (AWBM, GR4J, HBV-light, SRM, and Sacramento) and five semi-distributed models (HEC-HMS, VIC, HFAM, HSPF, and TOPMODEL). The InVEST "Annual Water Yield" (InVEST-AWY) model is easy to use and requires minimum input data but may not perform . . .

 



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