Zulkarnain Hassan
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Preferred name
Zulkarnain Hassan
Official Name
Zulkarnain, Hassan
Alternative Name
Hassan, Zulkarnain Bin
Hassan
Hassan, Z
Hassan', Z
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Scopus Author ID
55766149700

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Analysing impact of climate change on hydrological trend in Kelantan river basin using HEC-HMS coupled with SDSM

2023 , Muhammad Zahran Syahmi Armain , Zulkarnain Hassan , Sobri Harun , Mohd Remy Rozainy Mohd Arif Zainol , Ain Nihla Kamarudzaman , Salwa Mohd Zaini Makhtar

Climate change dramatically alters many hydrologic systems, which affects the availability of water and leads to runoff and river discharge. This study assessed the effects of the future scenario of climate change on the monthly river discharge of the Kelantan River Basin, Malaysia. Statistical DownScaling model (SDSM) was used to downscale the rainfall from large climate variables of the second-generation Canadian Earth System Model (CanESM2) under the Representative Concentration Pathways of 8.5 (RCP 8.5) and project future river discharge using the Hydrologic Modeling System (HEC-HMS). From this study, the monthly rainfall and river discharge over the Kelantan River basin will be significantly reduced in the future by 30 and 50% compared to the current period.

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Comparison of artificial neural network and support vector machine for long-term runoff simulation

2020 , Zulkarnain Hassan , S Z Rosdi , Kamarudzaman, Ain Nihla , Mustaqqim Abdul Rahim , Zuhayr Md Ghazaly

Simulation of runoff from a river catchment is a very difficult task and it involves a lot of data which need to be considered. However, the modelling is very essential to forecast the patterns of future runoff by observing and analysing previous patterns of runoff, based on the rainfall. This study presents the evaluation of rainfall-runoff modelling for the long-term runoff series using Artificial Neural Network (ANN) and Support Vector Machine (SVM). Both models are trained and validated using the data series of current and nine (9) antecedent rainfall. During the validation, the SVM model is better in the performance as compared the ANN model, with the R and RMSE values are 0.529-0.711 and 14.27-52.55 mm, respectively. However, the SVM model is underestimated for the peak discharge. Both models have the ability to derive the relationship between the inputs and outputs of the rainfall-runoff process.

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Assessing Hydrological Response in the Timah-Tasoh Reservoir Sub-Catchments: Calibration and Validation using the HEC-HMS Model

2024 , N A S Nordin , Zulkarnain Hassan , N M Noor , Ain Nihla Kamarudzaman , A S A Ahmadni

Abstract Hydrological modelling is a tool that is frequently used for assessing the hydrological response of a basin as a result of precipitation. It is also a vital component as water resources and environmental planning management. The study deals with calibrating and validating the hydrological response in the sub-catchments of the Timah-Tasoh reservoir using the hydrological model named Hydrologic Engineering Center – Hydrologic Modelling System (HEC-HMS). This study uses the SCS Curve Number, the SCS Unit Hydrograph, the constant monthly baseflow, and lag routing for the model development. The model was simulated for ten (10) years for calibration and nine (9) years for validation. The model calibration and validation efficiency were assessed using the coefficient of correlation (R). The findings show that the HEC-HMS model performs satisfactorily in simulating the observed daily inflow series, with the R-value of 0.4902-0.5139 during calibration and 0.5047-0.5559 during validation process. Thus, the result obtained from this study can be used as a preliminary development of hydrological modelling of the catchment of the Timah-Tasoh reservoir and can be used for extend application such as water inflow forecasting, impact of land use to the reservoir and others.

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Distribution and Characteristic Sediment Material of Watershed Deli River-Sumatera, Indonesia

2024 , Yunita Pane , Fahmi Muhammad Ridwan , Zulkarnain Hassan

Abstract Rivers are a source of surface water and bring benefits to human life. River water quality changes along with the development of the river environment which is influenced by various activities and human life. Deli River is one of the rivers used by the people of Medan-North Sumatra as a provider of clean water and various other daily activities and is also used as a transportation route for fishermen. This study aims to determine the flooding conditions that often occur in the Deli River, this is caused by the shallowness and narrowness of the river body. In this study, the quantitative method was taking sediment samples at several points along the river starting from upstream, middle, and downstream with research time on 7 July 2023. The results obtained from this study were river sediment material along the Deli River from upstream to downstream generally has a grain size of 65% sand, a grain size of 26% clay, a grain size of silt 6.3%, and a grain size of gravel 3.7%. The upstream sediments are dominated by sand-sized sediments and in the middle (between the upstream and downstream) the sediments are dominated by clay-sand-sized sediments, while the downstream sediments are predominantly sandy loam. The flooding of the Deli River is caused by the reduced capacity of the river, high intensity of rainfall in the upper reaches, and narrowing of the river and high sediment deposits in the middle to lower reaches so flooding often occurs along the Deli River.

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