Abstract
The spatial distributed travel time model (SDTTM) with 15-min interval of rainfall event based was rarely used in the humid regions due to the high requirement for data accessibility and complexity level to fulfil the desired objective of hydrological modelling study. The spatial lumped model (SLM) was involved in order to justify the ultimate objective of this study in evaluating the performance of SDTTM and SLM by using selected rainfall events. For this purpose, the effective rainfall was estimated by using National Resources Conservation Services Curve Number (NRCS-CN) method. SDTTM was developed based on a distributed Geographic Information System-based time-area approach by incorporating kinematic wave theory with Manning’s equation to simulate the rainfall-runoff. SLM was developed based on a lumped based approach using Hydrologic Modelling System (HEC-HMS). Nash Sutcliffe Efficiency (NSE), percentage of bias (PBIAS), percentage of error (POE) and correlation coefficient (r) were used to evaluate model performance in sensitivity analysis, SDTTM and SLM. Results show that sensitivity analysis, and both observed and simulated hydrographs were highly correlated in mean value during calibration and validation period. Both models have a high applicability in different regions depending on the desired objectives, accessibility of data, time consumption and cost to utilize these models in respective catchments.
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Acknowledgements
The authors would like to express their acknowledgement to the Department of Irrigation and Drainage (DID), Malaysia for providing the hydrological data such as rainfall and streamflow. The authors also appreciate the reviewers for their constructive feedback in this study.
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The study was supported by the Research University Grant Scheme (RUGS), Universiti Putra Malaysia (RUGS Number: 03–02-12-1741RU).
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Rosli, M.H., Malik, N.K.A., Jamil, N.R. et al. Performance evaluation of spatial lumped model and spatial distributed travel time model using event based rainfall for hydrological simulation. Arab J Geosci 15, 1765 (2022). https://doi.org/10.1007/s12517-022-11068-4
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DOI: https://doi.org/10.1007/s12517-022-11068-4