Mohd Fozi Ali - Academia.edu (original) (raw)
Papers by Mohd Fozi Ali
River water quality degradation is one of the most significant environmental challenges. Over the... more River water quality degradation is one of the most significant environmental challenges. Over the years, many models have been used to investigate the current state of Malaysian rivers and its effects to the environment. River discharge is an important factor in water quality investigation. An integrative computational model, GIS coupled with SWAT model was being used to predict river discharge of this research. The simulation results in the period 1999 to 2010 represented fluctuation of discharge relatively well with both R 2 and NSI values were above 0.6. The results proved that the development of integrative GIS technology coupled with SWAT model is a good tool for environmental technology development in terms of investigating the current state of Langat river water quality as well as the capability of simulating the river discharge in the river basin. This shows that GIS-SWAT interface can be a reliable tool for water quality modeling in Malaysia in the future and further development on the software technology is a benefit for the water resources and environmental studies.
The concentrations of selected heavy metals such as Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in soil... more The concentrations of selected heavy metals such as Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in soil irrigated with secondary treated wastewater were determined by means of ICP-OES and UV-Vis Spectrophotometer after combined acid wet digestion. The results revealed that heavy metals concentrations of secondary treated wastewater were significantly higher in the FSTW as compared to the BSTW suggested that seasonal variations and efficiency of the treatment system affected the wastewater quality. Besides, the heavy metals characteristics of soil irrigated with secondary treated wastewater were found to be relatively higher in the SPS as compared to the SEPS suggesting that cross sectional area of soil affected the accumulation of macronutrients and trace elements. Meanwhile, the comparative study between ICP-OES and UV-Vis spectrophotometer for detection of heavy metals in soil irrigated with secondary treated wastewater demonstrated the higher trends of heavy metals levels obtained in U...
Malaysian Meteorological Department statistics stated that rainfall in this country is among the ... more Malaysian Meteorological Department statistics stated that rainfall in this country is among the highest the world with 2500mm a year. Therefore, the phenomenon of flooding often occurs in Malaysia. Flooding will cause water to become cloudy or turbid. This situation is getting worse as demand for fresh water is higher than supply. Therefore, researchers have designed several of water filter system to overcome these issues. Not to mention, the usage of the chemical as a purifying agent such as coagulant and flocculation process for turbidity water purification. In this study, we used Aluminium Sulphate Al 2 (SO 4 ) 3 as a coagulant agent, and Smart Tube Aqua Filter (STAF) plan in flocculation process. This plant is modeled by first order plus time delay (FOPDT) model, to explain the behavior of processes. Model Predictive Controller (MPC) and proportional integral derivative (PID) controller are applied to control the process. Robustness and efficiencies of the controller are analyz...
2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2017
Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to b... more Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to become cloudy or turbid. In this situation, the supply of clean drinking water is the most affected component. Therefore, many researchers have designed a water filter system to overcome these problems. One of them is used chemical as purifying agen, or known as coaguland and flocculation process. In this study researcher used Aluminium Sulphate Al2(SO4)3 as a coagulant agent, and Multi-tube aluminum sulphate water filter (MTAS) pilot plan as flocculation process. Thus, the MTAS pilot plan will be control by open loop controller and a discrete plan modelling transfer function be developed in light of, the open loop controller output. Subsequently, PID simulation controller be implemented based on Ziegler Nichols (ZN) and Cohen-Coon (CC) tuning method. Conclusively, the robusness and efficiencies of PID controller is evaluated, and a comparative study has done. Finally, researcher proposed the best PID tunning controller that will be adopted in real time process control for further investigation.
2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2016
This paper focuses on the design and development of a low cost nephelometric turbidity sensor for... more This paper focuses on the design and development of a low cost nephelometric turbidity sensor for the continuity of domestic monitoring of water quality. The electronic turbidity sensor operates based on the scattered light intensity with regards to light scattering in solids and liquids. The electronic turbidity sensor used Light Emitting Diode (LED) as light transmitter, Light Dependent Resistor (LDR) as receiver, PIC 16F777 as a main processor and RS232 module for the integrated sensor communication between the computer. Laboratory experiments have been done by comparing the self-developed sensor with commercial turbidity meter (Hach 2100P) output of NTU. The advantages of the electronic turbidity sensor are lightweight, user friendly, low-power consumption, easy to monitor and low cost. Conclusively, the electronic turbidity sensor can be used as part of a low-cost sensor to provide continuous turbidity information of water quality directly to consumer. Laboratory tests are conducted and proven that the proposed devices produced a comparable NTU reading as commercial turbidity sensor. Moreover, with a low development cost of RM196.95, has been savings money compared to commercial turbidity sensor. Therefore, the development of this device can save cost and benefited to consumer by providing the water quality reading instantaneously.
Background: Changes in runoff will affect sediment input into rivers and coastal seas resulted ch... more Background: Changes in runoff will affect sediment input into rivers and coastal seas resulted changes in sediment cycling and transport. Moreover, high sediment loads can cause contamination and surroundings degradation in river systems such affects algal growth and river ecosystem. During the last forty years, numerical models have proven to be useful research tools in environmental studies. Objective: The integrated modelling is designed to simulate and assess catchment-scale land to appropriately quantify sediment and stream flow delivery to receiving waters. The study evaluated the performance and suitability of Soil and Water Assessment Tool (SWAT) model in assessing sediment loading and stream flow loading under Malaysian climate. Results: The SWAT was calibrated and both r2 and E value above 0.65. The simulation results based on 30 years of rainfall records indicate that average water quantity will not be significantly affected and suspended sediment and stream flow will inc...
Hydrologic models are particularly useful tools for investigating the many practical issues that ... more Hydrologic models are particularly useful tools for investigating the many practical issues that arise during the planning, design, operation, and management of water resource systems. In Malaysia, several commercial hydrologic models have been used to model river basin dynamics, at both small and larger watershed scales. These include empirical, physical, stochastic, and distributed models such as InfoWorks River Simulation (IWRS), InfoWorks Collection System (IWCS), MIKE-SHE, and Stormwater Management Model (XP-SWMM). Open-source watershed models have also been used to model river basin dynamics in Malaysia. These models include the Soil Water Assessment Tool (SWAT), Hydrologic Engineering Centre – The Hydrologic Modeling System (HEC-HMS), Kinematic Runoff and Erosion Model (KINEROS) software, and the Long-Term Hydrologic Impact Analysis (L-THIA) program. Among these models, SWAT is a well-established, physically based distributed model used for analyzing the impacts of land manag...
Journal of Engineering and Applied Sciences
Modelling a hydro climate model can be tedious and time consuming due to many factors. This paper... more Modelling a hydro climate model can be tedious and time consuming due to many factors. This paper presents a new advanced approach for automatisation of weather generator data processing of soil and water assessment tool (SWAT) model in reducing the hardship of a hydro climate model. This approach is based on integrating multiple climate data programs in MATLAB environment and allowing the modification of Providing Regional Climates for Impacts Studies (PRECIS) output to suit the hydrological model needs. This is achieved by linking NCO, net CDF and CDO with each other and correcting the program by comparing the results using manual approach.This project is undertaken in the West part of Malaysia. The selected research area for this project is the upper part of Langat River Basin. This choice was made considering the importance of the Langat River basin to the Selangor state, one of the most important states in Malaysia. The current state of historical data for model setup, calibration and validation of the model includes future hydro-climate changes using PRECIS A1B data projection that is simulated for this project to see the quality of Xls2Ncascii in preparing soil and water assessment tool for weather generator.The hydrological changes due to climate change are investigated.
Journal of Engineering and Applied Sciences
International Journal of Engineering and Technology, 2016
The idea of watershed modeling is implanted in the interrelationships of geospatial and hydro-met... more The idea of watershed modeling is implanted in the interrelationships of geospatial and hydro-meteorological data and represented through mathematical abstractions. The behaviour of each process is controlled by its attributes as well as by its interaction with other processes active in the catchment. In recent years, distributed watershed models have been increasingly used to implement alternative management strategies in the areas of water resources study. Many of these models share a common base in their endeavour to incorporate the heterogeneity of the watershed and the spatial distribution of topography, vegetation, land use, soil characteristics and rainfall. For soil maps, all the physical properties were used as input files for SWAT models. The study attempts to assess the whole simulation processes of the SWAT hydrological model using a Malaysia soil data. It was found that the SWAT model can be successfully applied for hydrological evaluation of the Langat River Basin with...
IOP Conference Series: Earth and Environmental Science, 2021
Universiti Teknologi MARA (UiTM) is Malaysia’s largest institution of higher learning (IHE). The ... more Universiti Teknologi MARA (UiTM) is Malaysia’s largest institution of higher learning (IHE). The university is based on 13 state campuses and 21 satellite campuses. The state of Selangor has the largest number of UiTM campuses, and the main anchor campus is located in the state capital, Shah Alam. As for UiTM which is committed to implement the low carbon cities framework program focusing on five GHG reduction elements through energy, mobility, waste, water; and greenery and water bodies. This study reveals the carbon operational assessment in UiTM campus located in Shah Alam, Selangor using city-based approach within the Low Carbon City Framework (LCCF) which are; urban environment, urban infrastructure, building criteria.
2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC), 2016
Floods are a natural phenomenon that occur frequently. However, the flood could turn into disaste... more Floods are a natural phenomenon that occur frequently. However, the flood could turn into disasters which causing widespread damage, health problems and deaths. Consequently, these phenomena affect the ecosystems and habitats. The source of drinking water is the most affected component due to floods. Many researchers have designed the methods to purify the turbidity of water. In this study, the water samples are obtained from Damansara river located nearby TTDI Jaya, Shah Alam. In light of this, the optimum aluminum sulfate dosage in purifying the water turbidity is the aim of this study. The outcomes of the research also comply the standard set by World Health Organization (WHO). The aluminum sulfate is used as a coagulant and coagulant auxiliary product, respectively. The efficiencies of coagulation-flocculation process are investigated on these samples. The jar test is conducted in this study which represents a pilot-scale test of the aluminum sulfate dosage used in water treatment plant. The aluminum sulfate dosage is measured based on the performance of coagulation process in the test. However, the accuracy of aluminum sulfate dosage is still underdeveloped for water purification. The optimized dosage of aluminum sulfate needs to meet the drinking water standards set by WHO. Conclusively, the optimum aluminum sulfate dosage could be determined based on the aforementioned standard and respective location. We also proposed an optimum aluminum sulfate controller device in this study.
Jurnal Teknologi, 2016
Process-based hydrologic models are progressively being used to support decisions on many water r... more Process-based hydrologic models are progressively being used to support decisions on many water resources management such as in the design and operation of the hydraulic structures, water supply, irrigation, flood control, and many other engineering practices. Many of these models share a common base in their endeavor to incorporate the diversity of the watershed and the spatial distribution of topography, vegetation, land use, soil characteristics and rainfall. Activities in the flood plain and catchment such as land clearing for other developments may increase the magnitude of the flood. Understanding on the reaction of the river basin on the floods scenario becomes a crucial part before any project of flood mitigation approach is implemented. The study attempts to highlight the simulation of the Soil Water Assessment Tool (SWAT) hydrologic model in determining the surface runoff distribution from a different sub-basin. For Langat River Basin, the sub-basin 17 was produced the hig...
Energy Engineering, 2021
Electricity demand is also known as load in electric power system. This article presents a Long-T... more Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of input variables and ANN model were introduced to obtain the prediction for years 2022 to 2030. Pearson correlation was used to examine the input variables for model construction. The analysis indicates that Primary Energy Supply (PES), population, Gross Domestic Product (GDP) and temperature are strongly correlated. The forecast results by the proposed method (henceforth referred to as UQ-SNN) were compared with the results obtained by a conventional Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model. The R 2 scores for UQ-SNN and SARIMA are 0.9994 and 0.9787, respectively, indicating that UQ-SNN is more accurate in capturing the non-linearity and the underlying relationships between the input and output variables. The proposed method can be easily extended to include other input variables to increase the model complexity and is suitable for LTLF. With the available input data, UQ-SNN predicts Malaysia will consume 207.22 TWh of electricity, with standard deviation (SD) of 6.10 TWh by 2030.
Energy Engineering, 2021
Electricity demand is also known as load in electric power system. This article presents a Long-T... more Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of input variables and ANN model were introduced to obtain the prediction for years 2022 to 2030. Pearson correlation was used to examine the input variables for model construction. The analysis indicates that Primary Energy Supply (PES), population, Gross Domestic Product (GDP) and temperature are strongly correlated. The forecast results by the proposed method (henceforth referred to as UQ-SNN) were compared with the results obtained by a conventional Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model. The R 2 scores for UQ-SNN and SARIMA are 0.9994 and 0.9787, respectively, indicating that UQ-SNN is more accurate in capturing the non-linearity and the underlying relationships between the input and output variables. The proposed method can be easily extended to include other input variables to increase the model complexity and is suitable for LTLF. With the available input data, UQ-SNN predicts Malaysia will consume 207.22 TWh of electricity, with standard deviation (SD) of 6.10 TWh by 2030.
Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016), 2018
The idea of distributed hydrologic modeling is embedded in the interrelationships of geospatial a... more The idea of distributed hydrologic modeling is embedded in the interrelationships of geospatial and hydro-meteorological data and represented by mathematical abstractions. The behavior of each process is controlled by its attributes as well as by its interaction with other processes active in the catchment. Model calibration is the process of estimating model parameters by comparing model predictions to a given set of assumed conditions with observed data under the same circumstances. The Soil Water Assessment Tool-Calibration Uncertainties Program (SWAT-CUP) is a computer model for calibrations of SWAT model is utilized in the study for the simulation of the daily streamflow. For Langat River Basin, the coefficient of determination (R 2), Nash-Sutcliffe efficiency (NSE) and PBIAS for the calibration period were found as 0.75, 0.70, and 0.15, respectively, which confirms the satisfactory performance of the model.
River water quality degradation is one of the most significant environmental challenges. Over the... more River water quality degradation is one of the most significant environmental challenges. Over the years, many models have been used to investigate the current state of Malaysian rivers and its effects to the environment. River discharge is an important factor in water quality investigation. An integrative computational model, GIS coupled with SWAT model was being used to predict river discharge of this research. The simulation results in the period 1999 to 2010 represented fluctuation of discharge relatively well with both R 2 and NSI values were above 0.6. The results proved that the development of integrative GIS technology coupled with SWAT model is a good tool for environmental technology development in terms of investigating the current state of Langat river water quality as well as the capability of simulating the river discharge in the river basin. This shows that GIS-SWAT interface can be a reliable tool for water quality modeling in Malaysia in the future and further development on the software technology is a benefit for the water resources and environmental studies.
The concentrations of selected heavy metals such as Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in soil... more The concentrations of selected heavy metals such as Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in soil irrigated with secondary treated wastewater were determined by means of ICP-OES and UV-Vis Spectrophotometer after combined acid wet digestion. The results revealed that heavy metals concentrations of secondary treated wastewater were significantly higher in the FSTW as compared to the BSTW suggested that seasonal variations and efficiency of the treatment system affected the wastewater quality. Besides, the heavy metals characteristics of soil irrigated with secondary treated wastewater were found to be relatively higher in the SPS as compared to the SEPS suggesting that cross sectional area of soil affected the accumulation of macronutrients and trace elements. Meanwhile, the comparative study between ICP-OES and UV-Vis spectrophotometer for detection of heavy metals in soil irrigated with secondary treated wastewater demonstrated the higher trends of heavy metals levels obtained in U...
Malaysian Meteorological Department statistics stated that rainfall in this country is among the ... more Malaysian Meteorological Department statistics stated that rainfall in this country is among the highest the world with 2500mm a year. Therefore, the phenomenon of flooding often occurs in Malaysia. Flooding will cause water to become cloudy or turbid. This situation is getting worse as demand for fresh water is higher than supply. Therefore, researchers have designed several of water filter system to overcome these issues. Not to mention, the usage of the chemical as a purifying agent such as coagulant and flocculation process for turbidity water purification. In this study, we used Aluminium Sulphate Al 2 (SO 4 ) 3 as a coagulant agent, and Smart Tube Aqua Filter (STAF) plan in flocculation process. This plant is modeled by first order plus time delay (FOPDT) model, to explain the behavior of processes. Model Predictive Controller (MPC) and proportional integral derivative (PID) controller are applied to control the process. Robustness and efficiencies of the controller are analyz...
2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2017
Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to b... more Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to become cloudy or turbid. In this situation, the supply of clean drinking water is the most affected component. Therefore, many researchers have designed a water filter system to overcome these problems. One of them is used chemical as purifying agen, or known as coaguland and flocculation process. In this study researcher used Aluminium Sulphate Al2(SO4)3 as a coagulant agent, and Multi-tube aluminum sulphate water filter (MTAS) pilot plan as flocculation process. Thus, the MTAS pilot plan will be control by open loop controller and a discrete plan modelling transfer function be developed in light of, the open loop controller output. Subsequently, PID simulation controller be implemented based on Ziegler Nichols (ZN) and Cohen-Coon (CC) tuning method. Conclusively, the robusness and efficiencies of PID controller is evaluated, and a comparative study has done. Finally, researcher proposed the best PID tunning controller that will be adopted in real time process control for further investigation.
2016 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 2016
This paper focuses on the design and development of a low cost nephelometric turbidity sensor for... more This paper focuses on the design and development of a low cost nephelometric turbidity sensor for the continuity of domestic monitoring of water quality. The electronic turbidity sensor operates based on the scattered light intensity with regards to light scattering in solids and liquids. The electronic turbidity sensor used Light Emitting Diode (LED) as light transmitter, Light Dependent Resistor (LDR) as receiver, PIC 16F777 as a main processor and RS232 module for the integrated sensor communication between the computer. Laboratory experiments have been done by comparing the self-developed sensor with commercial turbidity meter (Hach 2100P) output of NTU. The advantages of the electronic turbidity sensor are lightweight, user friendly, low-power consumption, easy to monitor and low cost. Conclusively, the electronic turbidity sensor can be used as part of a low-cost sensor to provide continuous turbidity information of water quality directly to consumer. Laboratory tests are conducted and proven that the proposed devices produced a comparable NTU reading as commercial turbidity sensor. Moreover, with a low development cost of RM196.95, has been savings money compared to commercial turbidity sensor. Therefore, the development of this device can save cost and benefited to consumer by providing the water quality reading instantaneously.
Background: Changes in runoff will affect sediment input into rivers and coastal seas resulted ch... more Background: Changes in runoff will affect sediment input into rivers and coastal seas resulted changes in sediment cycling and transport. Moreover, high sediment loads can cause contamination and surroundings degradation in river systems such affects algal growth and river ecosystem. During the last forty years, numerical models have proven to be useful research tools in environmental studies. Objective: The integrated modelling is designed to simulate and assess catchment-scale land to appropriately quantify sediment and stream flow delivery to receiving waters. The study evaluated the performance and suitability of Soil and Water Assessment Tool (SWAT) model in assessing sediment loading and stream flow loading under Malaysian climate. Results: The SWAT was calibrated and both r2 and E value above 0.65. The simulation results based on 30 years of rainfall records indicate that average water quantity will not be significantly affected and suspended sediment and stream flow will inc...
Hydrologic models are particularly useful tools for investigating the many practical issues that ... more Hydrologic models are particularly useful tools for investigating the many practical issues that arise during the planning, design, operation, and management of water resource systems. In Malaysia, several commercial hydrologic models have been used to model river basin dynamics, at both small and larger watershed scales. These include empirical, physical, stochastic, and distributed models such as InfoWorks River Simulation (IWRS), InfoWorks Collection System (IWCS), MIKE-SHE, and Stormwater Management Model (XP-SWMM). Open-source watershed models have also been used to model river basin dynamics in Malaysia. These models include the Soil Water Assessment Tool (SWAT), Hydrologic Engineering Centre – The Hydrologic Modeling System (HEC-HMS), Kinematic Runoff and Erosion Model (KINEROS) software, and the Long-Term Hydrologic Impact Analysis (L-THIA) program. Among these models, SWAT is a well-established, physically based distributed model used for analyzing the impacts of land manag...
Journal of Engineering and Applied Sciences
Modelling a hydro climate model can be tedious and time consuming due to many factors. This paper... more Modelling a hydro climate model can be tedious and time consuming due to many factors. This paper presents a new advanced approach for automatisation of weather generator data processing of soil and water assessment tool (SWAT) model in reducing the hardship of a hydro climate model. This approach is based on integrating multiple climate data programs in MATLAB environment and allowing the modification of Providing Regional Climates for Impacts Studies (PRECIS) output to suit the hydrological model needs. This is achieved by linking NCO, net CDF and CDO with each other and correcting the program by comparing the results using manual approach.This project is undertaken in the West part of Malaysia. The selected research area for this project is the upper part of Langat River Basin. This choice was made considering the importance of the Langat River basin to the Selangor state, one of the most important states in Malaysia. The current state of historical data for model setup, calibration and validation of the model includes future hydro-climate changes using PRECIS A1B data projection that is simulated for this project to see the quality of Xls2Ncascii in preparing soil and water assessment tool for weather generator.The hydrological changes due to climate change are investigated.
Journal of Engineering and Applied Sciences
International Journal of Engineering and Technology, 2016
The idea of watershed modeling is implanted in the interrelationships of geospatial and hydro-met... more The idea of watershed modeling is implanted in the interrelationships of geospatial and hydro-meteorological data and represented through mathematical abstractions. The behaviour of each process is controlled by its attributes as well as by its interaction with other processes active in the catchment. In recent years, distributed watershed models have been increasingly used to implement alternative management strategies in the areas of water resources study. Many of these models share a common base in their endeavour to incorporate the heterogeneity of the watershed and the spatial distribution of topography, vegetation, land use, soil characteristics and rainfall. For soil maps, all the physical properties were used as input files for SWAT models. The study attempts to assess the whole simulation processes of the SWAT hydrological model using a Malaysia soil data. It was found that the SWAT model can be successfully applied for hydrological evaluation of the Langat River Basin with...
IOP Conference Series: Earth and Environmental Science, 2021
Universiti Teknologi MARA (UiTM) is Malaysia’s largest institution of higher learning (IHE). The ... more Universiti Teknologi MARA (UiTM) is Malaysia’s largest institution of higher learning (IHE). The university is based on 13 state campuses and 21 satellite campuses. The state of Selangor has the largest number of UiTM campuses, and the main anchor campus is located in the state capital, Shah Alam. As for UiTM which is committed to implement the low carbon cities framework program focusing on five GHG reduction elements through energy, mobility, waste, water; and greenery and water bodies. This study reveals the carbon operational assessment in UiTM campus located in Shah Alam, Selangor using city-based approach within the Low Carbon City Framework (LCCF) which are; urban environment, urban infrastructure, building criteria.
2016 7th IEEE Control and System Graduate Research Colloquium (ICSGRC), 2016
Floods are a natural phenomenon that occur frequently. However, the flood could turn into disaste... more Floods are a natural phenomenon that occur frequently. However, the flood could turn into disasters which causing widespread damage, health problems and deaths. Consequently, these phenomena affect the ecosystems and habitats. The source of drinking water is the most affected component due to floods. Many researchers have designed the methods to purify the turbidity of water. In this study, the water samples are obtained from Damansara river located nearby TTDI Jaya, Shah Alam. In light of this, the optimum aluminum sulfate dosage in purifying the water turbidity is the aim of this study. The outcomes of the research also comply the standard set by World Health Organization (WHO). The aluminum sulfate is used as a coagulant and coagulant auxiliary product, respectively. The efficiencies of coagulation-flocculation process are investigated on these samples. The jar test is conducted in this study which represents a pilot-scale test of the aluminum sulfate dosage used in water treatment plant. The aluminum sulfate dosage is measured based on the performance of coagulation process in the test. However, the accuracy of aluminum sulfate dosage is still underdeveloped for water purification. The optimized dosage of aluminum sulfate needs to meet the drinking water standards set by WHO. Conclusively, the optimum aluminum sulfate dosage could be determined based on the aforementioned standard and respective location. We also proposed an optimum aluminum sulfate controller device in this study.
Jurnal Teknologi, 2016
Process-based hydrologic models are progressively being used to support decisions on many water r... more Process-based hydrologic models are progressively being used to support decisions on many water resources management such as in the design and operation of the hydraulic structures, water supply, irrigation, flood control, and many other engineering practices. Many of these models share a common base in their endeavor to incorporate the diversity of the watershed and the spatial distribution of topography, vegetation, land use, soil characteristics and rainfall. Activities in the flood plain and catchment such as land clearing for other developments may increase the magnitude of the flood. Understanding on the reaction of the river basin on the floods scenario becomes a crucial part before any project of flood mitigation approach is implemented. The study attempts to highlight the simulation of the Soil Water Assessment Tool (SWAT) hydrologic model in determining the surface runoff distribution from a different sub-basin. For Langat River Basin, the sub-basin 17 was produced the hig...
Energy Engineering, 2021
Electricity demand is also known as load in electric power system. This article presents a Long-T... more Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of input variables and ANN model were introduced to obtain the prediction for years 2022 to 2030. Pearson correlation was used to examine the input variables for model construction. The analysis indicates that Primary Energy Supply (PES), population, Gross Domestic Product (GDP) and temperature are strongly correlated. The forecast results by the proposed method (henceforth referred to as UQ-SNN) were compared with the results obtained by a conventional Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model. The R 2 scores for UQ-SNN and SARIMA are 0.9994 and 0.9787, respectively, indicating that UQ-SNN is more accurate in capturing the non-linearity and the underlying relationships between the input and output variables. The proposed method can be easily extended to include other input variables to increase the model complexity and is suitable for LTLF. With the available input data, UQ-SNN predicts Malaysia will consume 207.22 TWh of electricity, with standard deviation (SD) of 6.10 TWh by 2030.
Energy Engineering, 2021
Electricity demand is also known as load in electric power system. This article presents a Long-T... more Electricity demand is also known as load in electric power system. This article presents a Long-Term Load Forecasting (LTLF) approach for Malaysia. An Artificial Neural Network (ANN) of 5-layer Multi-Layered Perceptron (MLP) structure has been designed and tested for this purpose. Uncertainties of input variables and ANN model were introduced to obtain the prediction for years 2022 to 2030. Pearson correlation was used to examine the input variables for model construction. The analysis indicates that Primary Energy Supply (PES), population, Gross Domestic Product (GDP) and temperature are strongly correlated. The forecast results by the proposed method (henceforth referred to as UQ-SNN) were compared with the results obtained by a conventional Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model. The R 2 scores for UQ-SNN and SARIMA are 0.9994 and 0.9787, respectively, indicating that UQ-SNN is more accurate in capturing the non-linearity and the underlying relationships between the input and output variables. The proposed method can be easily extended to include other input variables to increase the model complexity and is suitable for LTLF. With the available input data, UQ-SNN predicts Malaysia will consume 207.22 TWh of electricity, with standard deviation (SD) of 6.10 TWh by 2030.
Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016), 2018
The idea of distributed hydrologic modeling is embedded in the interrelationships of geospatial a... more The idea of distributed hydrologic modeling is embedded in the interrelationships of geospatial and hydro-meteorological data and represented by mathematical abstractions. The behavior of each process is controlled by its attributes as well as by its interaction with other processes active in the catchment. Model calibration is the process of estimating model parameters by comparing model predictions to a given set of assumed conditions with observed data under the same circumstances. The Soil Water Assessment Tool-Calibration Uncertainties Program (SWAT-CUP) is a computer model for calibrations of SWAT model is utilized in the study for the simulation of the daily streamflow. For Langat River Basin, the coefficient of determination (R 2), Nash-Sutcliffe efficiency (NSE) and PBIAS for the calibration period were found as 0.75, 0.70, and 0.15, respectively, which confirms the satisfactory performance of the model.