Streamflow Simulation for a Tropical Forested Catchment Using Dynamic TOPMODEL - Dynamic fluxEs and ConnectIvity for Predictions of HydRology Framework and the Generalized Likelihood Uncertainty Estimation Method
Abstract
Deforestation and land use change are common drivers of hydrological change in tropical catchments along with more extreme precipitation events. To understand to the behaviour of the system, a flexible model framework based on the TOPMODEL, Dynamic fluxEs and ConnectIvity for Prediction HydRology (DECIPHeR) v1 is implemented in the Kelantan catchment in Peninsular Malaysia aiming at evaluating the model performance in terms of the simulation of streamflow. The catchment 30 years daily simulation the Generalized Likelihood Uncertainty Estimation (GLUE) analysis resulted in the Nash Sutcliffe Efficiency (NSE) of 0.42 from the highest ranked parameter set. Based on the behavioral threshold of NSE 0.3, the simulation results suggest that the model ability to represent the system is limited particularly in recognizing the subsurface flow. This is supported by better simulation of peak events (NSE above 0.5). The findings highlight a potential limitation of the DECIPHeR framework to simulate change due to land use change, which typically affects the slow flow runoff component, that calls for improvement in the model structure.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2020
- Bibcode:
- 2020AGUFMH049...06U
- Keywords:
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- 1804 Catchment;
- HYDROLOGY;
- 1830 Groundwater/surface water interaction;
- HYDROLOGY;
- 1849 Numerical approximations and analysis;
- HYDROLOGY;
- 1879 Watershed;
- HYDROLOGY