Zulkarnain HassanUniversiti Malaysia Perlis | unimap · Faculty of Civil Engineering & Technology
Zulkarnain Hassan
Ph.D. (Civil Eng.)
Looking for potential collaborators in the fields of hydrology, water resources, and risk management.
About
33
Publications
13,645
Reads
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294
Citations
Citations since 2017
Introduction
Zulkarnain Hassan is a senior lecturer at the Faculty of Civil Engineering & Technology, Universiti Malaysia Perlis (UniMAP). He graduated and held a PhD in Civil Engineering from Universiti Teknologi Malaysia. Zulkarnain focused on the research to improve the prediction of flood characteristics through the development of matrix-based models, using data from general circulation models for climate change, and the better characterization of risk and uncertainty.
Additional affiliations
September 2020 - August 2022
Position
- Senior Lecturer
Description
- Fluid Mechanics Engineering, Hydraulics, and Urban Stormwater Management.
January 2016 - September 2020
Position
- Senior Lecturer
Description
- Hydrology, Fluid Mechanics Engineering, Hydraulics, Urban Stormwater Management, Final Year Project.
Education
February 2013 - February 2016
October 2010 - October 2012
March 2006 - March 2010
Publications
Publications (33)
Haze episode in Malaysia typically takes place during the dry monsoon season. As a result, high concentration of atmospheric particles was recorded primarily brought by transboundary air pollution from the neighbour country. Therefore, this study aims to evaluate and compare the level of particulate matter (PM 10) at urban-industrial areas during t...
Kelantan has been facing several cases of catastrophic flooding, causing significant damage to this area. Heavy monsoon rainfall is believed to trigger those floods. This study aims to identify and classify the flood occurrence using the Kelantan River catchment’s flood hazard index (FHI) based on the analytical hierarchy process (AHP). This study...
Flooding poses a severe threat to human beings and causes significant damage to property, infrastructure, and agricultural production. The flood also has severe consequences for socio-economic activities and can lead to the loss of human life. One of the significant factors that cause the flood is rapid development, especially in the floodplain are...
![Fish Diversity Index in the Belawan River,2020 [16].](publication/367279107/figure/tbl2/AS:11431281113985709@1674175855384/Fish-Diversity-Index-in-the-Belawan-River-2020-16_Q320.jpg)
![Fish Diversity Index in the Belawan River, 2020 [16]](publication/367279107/figure/tbl3/AS:11431281113977193@1674175855418/Fish-Diversity-Index-in-the-Belawan-River-2020-16_Q320.jpg)
Indoor This study was conducted to determine water pollution conditions and pollutants entering Belawan waters. Exploration research methods are carried out about water pollution in Belawan of Indonesia. Data on pollution in Belawan is categorized as polluted where the average level of lead-heavy metal in the body of blood clams in Belawan coastal...
![Shape factor, sphericity and porosity for granular materials [4].](publication/367292497/figure/tbl1/AS:11431281114067399@1674222887469/Shape-factor-sphericity-and-porosity-for-granular-materials-4_Q320.jpg)
Increasing quantity of stormwater runoff is natural but problematic consequences of urbanization. In addressing the issue, the porous pavement usage with modular installation system has been the new alternative being experimented instead of the traditional impervious asphalt and concrete pavers. The effectiveness of porous pavement depends upon the...
Citation: Baidrulhisham, S.E.; Noor, N.M.; Hassan, Z.; Sandu, A.V.; Vizureanu, P.; Ul-Saufie, A.Z.; Zainol, M.R.R.M.A.; Kadir, A.A.; Deák, G.
Kelantan has been facing several cases of catastrophic flooding, causing significant damage to this area. Heavy monsoon rainfall is believed to trigger those floods. This study aims to identify and classify the flood occurrence using the Kelantan River catchment’s flood hazard index (FHI) based on the analytical hierarchy process (AHP). This study...
Soil Conservation Services (SCS) is a quite popular method to estimate the infiltration of the catchment. The method has an advantage since it can be used for various land use and soil type using a single parameter of Curve Number (CN). However, the method may not suit catchment scaled due to land use heterogeneity. Averaging the CN value for the c...
Investigation on historical flood events in river catchment requires a proper estimation of discharge, that can achieve by developing hydrological modelling of the catchment. However, understanding the complex relationships between rainfall and runoff process is a complex task, and hydrologic models should be well-calibrated to make the application...
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 rai...
Hydraulic simulation models are critical tools for analysing the hydraulic properties of a river’s system flow. The work focuses on the simulation of a river flow in a Kelantan basin using the one-dimensional (1D) Hydrologic Engineering Center - River Analysis System (HECRAS). In the present study, cross-sections from survey data were utilised into...
The ability of biosorbents, which are a combination of orange peels and tea waste to treat copper (II) using the biosorption method was examined. The experiment was performed under batch biosorption studies with various operating parameters. The pH, biosorbent dosage, contact time, and initial copper (II) concentration were optimized from pH 3 - 8,...
This study performs a carbon footprint (CF) assessment in carbon dioxide equivalent tons (tCO2eq) for hostel building construction in Perlis, Malaysia, through a case study by using the Industrialized Building System construction method. Life cycle assessment from cradle-to-gate is conducted to calculate the CF produced by manufacturing prefabricat...
The rainfall measurement can be done by using rain gauge and weather radar instruments. However, weather radar does not measure the rainfall depth directly as contrary to rain gauge. Therefore, an empirical relationship between reflectivity (Z) and rainfall rate (R) which is commonly known as reflectivity-rainfall (Z-R) relationship consisting of p...
Kelantan is a state in Peninsular Malaysia that is highly vulnerable to extreme events such as drought and floods which are becoming worse because of climate change due to global warming that is caused by human activities. This study aims to evaluate the potential impacts of climate change on the future of rainfall in Kelantan using Artificial Neur...
Clean and safe water is vital for human health, whether it is used for drinking purpose, food production or domestic use. The aims of study are to investigate raw water quality parameters and analysed Water Quality Index (WQI) at Timah Tasoh Dam. The research also analyses the treated water quality parameters at Timah Tasoh Water Treatment Plant, K...
The simulation of rainfall-runoff is important to be analysed at the Kelantan River catchment as flood is one of the common natural disasters in Kelantan. Sustainable water management in this region is only feasible following the availability of reliable information on the rainfall-runoff and other hydrological determinants that affect the water sy...
Moringa oleifera was tested as a coagulant for its excellent coagulating properties in the treatment of water and wastewater. Moringa oleifera is a tropical plant belonging to the family of Moringaceae, besides being a non-toxic and natural organic polymer. The aim of this study is to investigate the removal of chemical oxygen demand (COD) from lan...
Environmental awareness has received much attention in recent years due to human population growth, even though science is improving every day. Still, that improvement comes with risks that can be avoided with a little bit of knowledge. Understanding the public’s environmental awareness is essential to inform government approaches to addressing thi...
![Figure 2. SVR architecture [2].](profile/Zulkarnain-Hassan/publication/342093183/figure/fig1/AS:901060730310656@1591841027443/SVR-architecture-2_Q320.jpg)
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 modell...
Fine resolution (hourly rainfall) of rainfall series for various hydrological systems is widely used. However, observed hourly rainfall records may lack in the quality of data and resulting difficulties to apply it. The utilization of Bartlett-Lewis rectangular pulse (BLRP) is proposed to overcome this limitation. The calibration of this model is r...
General Circulation Models (GCMs) are used to modelling the responses of the climate system to different scenarios of greenhouse gas and aerosol. However, the model needs to downscale into a fine resolution daily rainfall series appropriate for local scale hydrological impact studies. In this study, Statistical Down-Scaling Model (SDSM) is used to...
The inconsistency in inter-seasonal rainfall due to climate change will cause a different pattern in the rainfall characteristics and distribution. Peninsular Malaysia is not an exception for this inconsistency, in which it is resulting extreme events such as flood and water scarcity. This study evaluates the seasonal patterns in rainfall indices s...
Abstract: In selecting the best-fit distribution model for the rainfall event characteristics based on the inter-event time definition (IETD) of 6 hours for the selected rainfall in the Peninsular of Malaysia, seven distributions were utilized namely the beta (B4), exponential (EX1), gamma (G2), generalized extreme value (GEV), generalized Pareto (...
The increase in global surface temperature in response to the changing composition of the atmosphere will significantly impact upon local hydrological regimes and water resources. This situation will then lead to the need for an assessment of regional climate change impacts. The objectives of this study are to determine current and future climate c...
This paper presents the study of possible input variances for modeling the long-term runoff series using artificial neural network (ANN). ANN has the ability to derive the relationship between the inputs and outputs of a process without the physics being provided to it, and it is believed to be more flexible to be used compared to the conceptual mo...
Climate change is believed to have significant impacts on the water basin and region, such as in a runoff and hydrological system. However, impact studies on the water basin and region are difficult, since general circulation models (GCMs), which are widely used to simulate future climate scenarios, do not provide reliable hours of daily series rai...
This paper presents the study of possible input variances for modeling the long-term runoff series using artificial neural network (ANN). ANN has the ability to derive the relationship between the inputs and outputs of a process without the physics being provided to it, and it is believed to be more flexible to be used compared to the conceptual mo...
General circulation models (GCMs) have been widely used in the climate community, to generate the future climate variation based on the climate scenarios. However, the GCMs' variables need to be downscaled into a fine resolution before they can be applied for the climate impact assessment. Therefore, Long Ashton Research Station Weather Generator (...
![Fig. 3 MLP network architecture [29].](profile/Marlinda-Abdul-Malek/publication/233894333/figure/fig4/AS:667806207057926@1536228815203/MLP-network-architecture-29_Q320.jpg)
The paper describes the application of SDSM (statistical downscaling model) and ANNs (artificial neural networks)models for prediction of the hydrological trend due to the climate-change. The SDSM has been calibrated and generated for the possible future scenarios of meteorological variables, which are temperature and rainfall by using GCMs (global...
The climate impact studies in the hydrology are often relying on the climate change information at a fine spatial resolution. However, Global Climate Models (GCMs) which is regarded as the most advanced models yet for estimating the future climate change scenarios are operated on the coarse spatial resolution and not suitable for climate impact stu...
The paper describes the application of statistical downscaling model (SDSM) and IHACRES for climate change study. The SDSM has been calibrated using large-scale predictor variables derived from the National Centre for Environmental Prediction (NCEP) reanalysis data and locally observed methodological variables. The validation of SDSM model has done...
The paper describes the application of statistical downscaling method (SDSM) to downscale rainfall and temperature. In order to explore the SDSM method, the stations in Bukit Merah at Kerian Perak and Ipoh Perak, Malaysia have been selected as a study site to test the methodology for rainfall and temperature respectively. Both stations located at n...
Questions
Questions (5)
Throughout the literature, the Curve Number (CN) has been identified as the most sensitive parameter in hydrological models. However, in my project, when I conducted a sensitivity analysis, the CN number did not show the expected level of sensitivity. What could be the reason for this occurrence? Thank you.
I usually use the Statistical Downscaling Approaches, such as SDSM and LARS-WG, to downscale the GCMs. I am very interested in comparing the results from the statistical downscaling with the dynamical downscaling. However, I am still confusing about how to initiate dynamic downscaling (including regional climate modeling). Any suggestion on what software (prefer, opensource) we can use as the regional climate model.
Thanks for the response and feedback.
I like to do a bathymetric survey to get a contour of the lake. With the limitation of the budget, may I know the suitable instruments that required to do this survey?
If rainfall, we have a lot of test to test the homogeneity of rainfall such as t-test, standard normal homogeneity test (SNHT), Buishand range test, Pettitt test, etc. There is possible to check the homogeneity of runoff? Any method or methodology can be apply? How to check correlation between observed runoff and rainfall.
Thanks for feedback. :)
I have a series of observed hourly streamflow to become an input to the rainfall-runoff model. The period, 1961-1990. After a preliminary check, I found several backflow data (negative value of streamflow). How should I tackle this data? Should I consider as a missing data? If I used backflow data to the model, it may reflect my simulation of streamflow. Any wisdom? Thanks
