TOPMODEL for Streamflow Simulation of a Tropical Catchment Using Different Resolutions of ASTER DEM: Optimization Through Response Surface Methodology

Suliman, Ali H. Ahmed; Katimon, Ayob; Darus, Intan Zaurah Mat; Shahid, Shamsuddin

doi:10.1007/s11269-016-1338-2

Cited by 14 publications

(6 citation statements)

References 50 publications

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“…In Malaysia, few researches exist in literature that applied conceptual models to measured hydrological data for streamflow prediction as shown in Table 1. Sulaiman et al (2016) applied TOPMODEL (Topographically-based hydrological) in a medium size catchment in Johor river basin for the simulation of runoff using different resolutions from ASTER DEM (an open source DEM) as major inputs of TOPMODEL. The TOPMODEL is a conceptual model designed to capitalize on information that is connected to runoff.…”

Section: Conceptual Modelsmentioning

confidence: 99%

“…A physically-based model (HEC-HMS) was validated with NSE by Ramly and Tahir (2016) while working in Klang-Ampang River basin, Selangor. Sulaiman et al (2016) evaluated the performance of a conceptual model (TOPMODEL) to simulate runoff on a medium size catchment using different resolutions from ASTER DEM in Johor river basin. In another research that integrated an empirical model (ANN) and a conceptual model (IHACRES) in Kurau basin, Perak, NSE was utilized for the validating both models (Hassan et al 2015).…”

Section: Nash-sutcliffe Efficiency (Nse)mentioning

confidence: 99%

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Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

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Hydrological models are vital component and essential tools for water resources and environmental planning and management. In recent times, several studies have been conducted with a view of examining the compatibility of model results with streamflow measurements. Some modelers are of the view that even the use of complex modeling techniques does not give better assessment due to soil heterogeneity and climatic changes that plays vital roles in the behavior of streamflow. In Malaysia, several public domain hydrologic models that range from physically-based models, empirical models and conceptual models are in use. These include hydrologic modeling system (HEC-HMS), soil water assessment tool (SWAT), MIKE-SHE, artificial neural network (ANN). In view of this, a study was conducted to evaluate the hydrological models used in Malaysia, determine the coverage of the hydrological models in major river basins and to identify the methodologies used (specifically model performance and evaluation). The results of the review showed that 65% of the studies conducted used physical-based models, 37% used empirical models while 6% used conceptual models. Of the 65% of physical-based modelling studies, 60% utilized HEC-HMS an open source models, 20% used SWAT (public domain model), 9% used MIKE-SHE, MIKE 11 and MIKE 22, Infoworks RS occupied 7% while TREX and IFAS occupy 2% each. Thus, indicating preference for open access models in Malaysia. In the case of empirical models, 46% from the total of empirical researches in Malaysia used ANN, 13% used Logistic Regression (LR), while Fuzzy logic, Unit Hydrograph, Auto-regressive integrated moving average (ARIMA) model and support vector machine (SVM) contributed 8% each. Whereas the remaining proportion is occupied by Numerical weather prediction (NWP), land surface model (LSM), frequency ratio (FR), decision tree (DT) and weight of evidence (WoE). Majority of the hydrological modelling studies utilized one or more statistical measure of evaluating hydrological model performance (R, R 2 , NSE, RMSE, MAE, etc.) except in some few cases where no specific method was stated. Of the 70 papers reviewed in this study, 16 did not specify the type of model evaluation criteria they used in evaluating their studies, 17 utilized only one method while 37 used two or more methods. NSE with 27% was found to be the most widely used method of evaluating model performance; R and RMSE came second with a percentage use 24% each. R 2 (20%) was recorded as the third most widely used model evaluation criteria in Malaysia, MAE came fourth with 16% while PBIAS is the least with 11%.The findings of this work will serve as a guide to modelers in identifying the type of hydrological model they need to apply to a particular catchment for a particular problem. It will equally help water resources managers and policy makers in providing them with executive summary of hydrological studies and where more input is needed to achieve sustainable development.

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Section: Conceptual Modelsmentioning

confidence: 99%

Section: Nash-sutcliffe Efficiency (Nse)mentioning

confidence: 99%

Review of studies on hydrological modelling in Malaysia

Abdulkareem

Pradhan

Sulaiman

et al. 2018

Model. Earth Syst. Environ.

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“…Upslope contributing area represents the area that can potentially produce runoff to the point of interest (Suliman et al, 2016;Jeziorska and Niedzielski, 2018).…”

Section: Hydrologic Model: Topmodelmentioning

confidence: 99%

Hydrological Modeling in Tropical Regions via TopModel. Study Case: Central Sector of the Middle Magdalena Valley - Colombia

Arenas-Bautista¹,

Arboleda-Obando²,

Duque-Gardeazabal³

et al. 2018

Preprint

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Hydrological modeling allows us to make a comprehensive assessment of the interaction between dynamics of the hydrological cycle, climate conditions, and land use. These modeling results are relevant in water resources management field. We use TopModel (TOPography based hydrological MODEL for the hydrological 15 modeling of an area of 17 000 km 2 in the Middle Magdalena Valley (MMV), a tropical basin located in Colombia.This study is located in the intertropical convergence zone (ITCZ) which is characterized by special meteorological conditions and fast water fluxes over the year. This area has been subjected to significant land use changes, as a result of intense economic activities, e.g., agriculture, hydropower energy and oil & gas production (Avellaneda, 2003). The proposed model is based on a record of 12 years of: i.) daily precipitation data from observed gauges, ii.) 20 daily evapotranspiration data from temperature data and iii.) daily streamflow data as observed data. A calibration process was performed using data from 2000 to 2008, and a validation was performed with data from 2009 to 2012.The Nash-Sutcliffe coefficient was used as an objective function to assess the quality of these processes (values of this metric are between 0.74 and 0.73 respectively, for model calibration and validation). The results show us an adequate performance of the model in areas of the tropical region and allow us to analyze the relationship between 25 water storage capacity in the soils of the area with subsurface runoff. This conclusion is consistent with the characteristics of the region. The calibrated model provides an idea about the hydrological functioning of the basin and estimates an approximation of the groundwater recharge in the region. The estimation of the recharge is important to quantify the interaction of surface water and groundwater, especially during the dry season, due to its importance in the analysis of scenarios with climate variability. 30

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“…The original TOPMODEL was reportedly used in a variety of small sizeed tropical catchments [23,24]. It has been also applied in Malaysian-Peninsular, Malaysian Borneo and Thailand for short periods of observed data [25][26][27]. The model was mostly applied on small catchments [13,28,29], some are due to field measurement and used in the model analysis [11,26,27,30].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Streamflow Simulation for a Tropical Forested Catchment using Dynamic TOPMODEL – Dynamic fluxEs and ConnectIvity for Predictions of HydRology (DECIPHeR) Framework and Generalized Likelihood Uncertainty Estimation (GLUE)

Umar¹,

Zulkafli²,

Yusuf³

et al. 2020

Preprint

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Rainfall runoff modeling has been a subject of interest for decades due to a need to understand a catchment system for management, for example regarding extreme event occurrences such as flooding. Tropical catchments are particularly prone to the hazards of extreme precipitation and the internal drivers of change in the system, such as deforestation and land use change. A model framework of dynamic TOPMODEL, DECIPHeR v1 - considering the flexibility, modularity and portability - and Generalized Likelihood Uncertainty Estimation (GLUE) method are both used in this study. They reveal model performance for the streamflow simulation in a tropical catchment, i.e. the Kelantan River in Malaysia, that is prone to flooding and experiences high rates of land use change. 32 years' continuous simulation at a daily time scale simulation along with uncertainty analysis resulted in a Nash Sutcliffe Efficiency (NSE) score of 0.42 from the highest ranked parameter set, while 25.35% of the measurement falls within the uncertainty boundary based on a behavioral threshold NSE 0.3. The performance and behavior of the model in the continuous simulation suggests a limited ability of the model to represent the system, particularly along the low flow regime. In contrast, the simulation of eight peak flow events achieves moderate to good fit, with the four peak flow events simulation returning an NSE > 0.5. Nonetheless, the parameter scatterplot from both the continuous simulation and analyses of peak flow events indicate unidentifiability of all model parameters. This may be attributable to the catchment modelling scale. The results demand further investigation regarding the heterogeneity of parameters and calibration at multiple scales.

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TOPMODEL for Streamflow Simulation of a Tropical Catchment Using Different Resolutions of ASTER DEM: Optimization Through Response Surface Methodology

Cited by 14 publications

References 50 publications

Review of studies on hydrological modelling in Malaysia

Review of studies on hydrological modelling in Malaysia

Hydrological Modeling in Tropical Regions via TopModel. Study Case: Central Sector of the Middle Magdalena Valley - Colombia

Assessment of Streamflow Simulation for a Tropical Forested Catchment using Dynamic TOPMODEL – Dynamic fluxEs and ConnectIvity for Predictions of HydRology (DECIPHeR) Framework and Generalized Likelihood Uncertainty Estimation (GLUE)

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