Development of a Hybrid Conceptual-Statistical Framework to Evaluate Catchment-Scale Water Balance
Access Status
Open access
Date
2021Supervisor
Ranjan Sarukkalige
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Science and Engineering
School
School of Civil and Mechanical Engineering
Collection
Abstract
The study introduces a novel framework that combines conceptual, hydrological and statistical models to study water resources on short-term and long-term scales. It improves the performance of a common conceptual model and its extended version to estimate water balance components of the case studies. Moreover, a conceptual-statistical model is developed to further increase the performance of the original models. The proposed method is a useful approach for other catchments particularly, where limited data is available.
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