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This research aims to enhance hydrological modelling accuracy for effective water resource management in monsoon climates.

Improved Surface Runoff and Groundwater Recharge Representation Enhance Hydrological Modelling Predictions in a Monsoon Watershed in Central Brazil

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This research aims to enhance hydrological modelling accuracy for effective water resource management in monsoon climates.
Modified SWAT model with flexible SCS-CN calibration framework
Implemented a dynamic groundwater delay function
Applied the model to the Rodeador watershed in central Brazil
Compared performance metrics between modified and default models
NSE improved from 0.59 to 0.66 and percent bias reduced from 15.2% to 8.7%
Monthly streamflow deviations lowered to below 10% during dry years
Annual minimum flow prediction errors reduced from over 70% to between 1% and 12%
Julian date of minimum flow accurately predicted within a few days

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Modification of hydrological models improves streamflow predictions in a monsoon watershed, suggesting better water management practices.

Alves et al. (2026) studied this question.

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