Lariyah Mohd Sidek

• PhD Civil Engineering (Urban Drainage), Kyoto University, Japan, 2005
• Faculty Member at Universiti Tenaga Nasional

The central region of Maharashtra, India, is susceptible to agriculture, meteorological, and hydrological droughts, impacting local ecosystems. The scarcity of historical data impedes monitoring and forecasting regional droughts. Given the limited studies on ensemble and Machine Learning (ML) models for drought forecasting, this research compares f...

Groundwater quality assessment is crucial for sustainable water resource management in Maharashtra, India, where groundwater helps for main water sources for irrigation, domestic, and industrial sectors. Despite numerous studies on regional groundwater quality, there remains a lack of integrated research combining hydrogeochemical analyses with adv...

Climate change poses an escalating threat to the safety of high-hazard embankment dams, increases flood discharge impacting dam overtopping risk by altering the hydrological load of the original dam designed capacity. This paper’s primary aims are to evaluate climate change’s influence on extreme rainfall events and their impact on dam safety and t...

This study evaluates the engineering properties of a novel type of reinforced PVC-encased micropile made of an expanded mixture (PUCR) of polyurethane resin (PU) and crumb rubber (CR) for Kenyir dam slopes stabilization. Two types of PUCR micropiles were tested: one containing 4.0 kg/m of PU and another with 2.0 kg/m of PU, both with varying ratios...

Savonius turbine is an alternative wind turbine design that has the ability for self-starting from static condition at different blade angle. There are concerns in the structural behavior of the materials used for the Savonius turbine blades under aerodynamic loads. This study aims to optimize the structural and material properties of Savonius wind...

Land use and land cover (LULC) analysis is crucial for understanding societal development and assessing changes during the Anthropocene era. Conventional LULC mapping faces challenges in capturing changes under cloud cover and limited ground truth data. To enhance the accuracy and comprehensiveness of the descriptions of LULC changes, this investig...

Currently, the Water Quality Index (WQI) model becomes a widely used tool to evaluate surface water quality for agriculture, domestic and industrial. WQI is one of the simplest mathematical tools that can assist water operator in decision making in assessing the quality of water and it is widely used in the last years. The water quality analysis an...

This research was established to accurately forecast daily scale air quality index (AQI) which is an essential environmental index for decision-making. Researchers have projected different types of models and methodologies for AQI forecasting, such as statistical techniques, machine learning (ML), and most recently deep learning (DL) models. The mo...

The overarching goal of this research article is to examine the significant roles and substantial practicalities of artificial intelligence models in leading high-performance and accurate flood forecasting procedures. The Dungun River served as a case study. The forecasting procedure was implemented for two time spans: (1) the present period (1986-...

Organic pollution continues to be an important worldwide obstacle for tackling health and environmental concerns that require ongoing and prompt response. To identify the LAB content levels as molecular indicators for sewage pollution, surface sediments had obtained from the South region of Malaysia. The origins of the LABs were identified using ga...

The need for massive structures such as dams, car parks and pavements has increased in developing countries, so improving construction materials has become a trend. Since Roller Compacted Concrete (RCC) is efficient for such projects, it is beneficial to improve it and make it affordable and environmentally friendly. In this review paper, some spec...

Recently, there has been a growing interest in employing optimization techniques to ascertain the most efficient operation of reservoirs. This involves their application to various facets of the reservoir operating system, particularly in determining optimal rule curves. This study delves into the exploration of different algorithms, including Arti...

The need for massive structures such as dams, car parks, and pavements has increased in developing countries, so improving construction materials has become a trend. Since Roller-Compacted Concrete (RCC) is efficient for such projects, it is beneficial to improve it and make it affordable and environmentally friendly. In this review paper, some spe...

Urbanization contributes to an increase in flood frequency and intensity, which is exacerbated by climate change. This is a phenomenon observed in both developing and industrialized countries, including Malaysia and Thailand. It is possible to lessen the devastation that natural catastrophes cause as a result of climate change by making timely and...

Dams for water storage, irrigation, and/or hydropower generation continue to have an important role in safely and sustainably managing our water, food, and energy supply security. Designing and operating dams to minimize impacts on social and environmental values and to ensure the longevity of their safe operation is critical. There is also a growi...

The Cameron Highland-Batang Padang Hydro-Electric Scheme (HES) is located between two states which are Pahang and Perak. The Cameron Highland Hydro-Electric Scheme consists of four cascading dams with individual power stations constructed known as Sultan Abu Bakar Dam, Jor Dam, Mahang Dam and Ulu Jelai Dam. Dam break could bring disaster leading to...

Dam safety risks towards human communities have increased substantially in recent decades. They are the result of dam safety issues leading to failure, which have been aggravated by large losses in downstream areas due to increased inhabitants and settlement. It is critical for carrying out dam break studies to conduct an impact assessment of the d...

Perak State, located in the Northern Corridor of Peninsular Malaysia, offers attractive spots and ecotourism sites for tourists to explore. The state is also campaigning for Visit Perak 2024 to promote tourism as a strategic economic sector that will significantly contribute to Gross Domestic Product (GDP), job creation and foreign exchange earning...

Dam failure can cause loss of human life and massive damage to the property, particularly in downstream areas due to the limited time available for warning and evacuation. Therefore, it is essential to establish a comprehensive dam safety management system that incorporates all aspects of dam management. To mitigate the risks of dam failure, owners...

Recent research has identified that the major fraction of kinetic model in any type of wastewater. The research presented herein develops the kinetics of low-loading wastewater removal and river water treatment plant as a launch pad. Kinetic laboratory was developed with the setup of 2-h hydraulic retention time (HRT) in integrated Fixed Activated...

A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak in Malaysia. The hyper-parameters of the proposed m...

In September 2017, the Department of Irrigation and Drainage Malaysia (DID) inaugurated the first national guidelines for the safety management of dams in Malaysia—titled Malaysia Dam Safety Management Guidelines (MyDAMS). The goal of MyDAMS is to safeguard people, their possessions, and the environment from dam disasters. This guideline applies to...

Terengganu is one of the states in Malaysia that will be the most affected by the northeast monsoon which usually happens early in November and lasts until March every year. Continuous heavy rainfall may cause various natural disasters including debris flow. Due to the features of sudden outbursts and high energy density, debris flow has caused a s...

This paper focuses on flood risk analysis, flood impact, updating information related to Assets Inventory Database and measuring the damage to multi-scenarios cost–benefit analysis for the affected water and energy infrastructure. This software can play a major role in maintaining the database, creating various analysis before and after flood polic...

Such catastrophes may be brought on by floods to the impacted populace due to property damage, crop loss and death. Flooding caused significant damage to property and crops due to the high economic value of the property and the extent of the flood. Flood forecasts and warnings are one of the informal measures to provide warnings to affected populat...

The spillway is a component of the dam's flow control channel that serves to enhance regulation and boost the flow rate that passes through the spillway building. By rapidly changing local pressure and velocity, surface cracks can cause cavitation damage. Cavitation is defined as the phenomenon where pressure is less than 1 atm, resulting in air bu...

As water infrastructure becomes increasingly connected, it is also becoming more vulnerable to cyber-attacks. In this paper, we review real-world examples of cyber-attacks on water systems, highlighting the potential risks and threats faced by the water sector. To better understand the vulnerabilities of water systems to cyber-attack, we develop an...

Catastrophic dam failures result in significant loss of lives and immense property damage worldwide. The causes of dam failures are primarily attributed to three major triggers: climate change, ageing dams, and cyber threats. Understanding the correlation between these factors is vital to provide a comprehensive solution in the dam safety sector. T...

Spatial investigation and rainfall affect the most in runoff and flood modelling compared to other influencing flood sources. Therefore, flash flood and short-term flood prediction require numerical rainfall estimation, which employs falls, mudflow, melted ice, etc. To forecast unexpected flood occurrences, faster flood prediction necessitates comp...

There has been a substantial increase in energy generation in the country as a result of the country's rapid expansion and constant economic growth. Peninsular Malaysia currently has 33 power plants (21 thermal power plants and 12 hydropower plants), 86,468 substations, and 33,668 transmission towers. Climate change has been designated as one of th...

The seasonal variation of petroleum pollution including n-alkanes in surface sediments of the Selangor River in Malaysia during all four climatic seasons was investigated using GC–MS. The concentrations of n-alkanes in the sediment samples did not significantly correlate with TOC (r = 0.34, p > 0.05). The concentrations of the 29 n-alkanes in the S...

Uncontrolled development at the upstream of the river catchment have led to detrimental effect to the environment, including degradation of river water quality. River Water Treatment Plant (RWTP) technology was introduced to reduce the contamination loading into the river water system, worldwide. The technology offers the best biological treatment...

This research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter seasons, crucial for agricultural planning, and irrigation water requirement challenges in accurately m...

The flood is a catastrophic event that causes losses in life and property. The magnitude of food-related losses has prompted researchers to place a greater emphasis on robust and comprehensive modelling techniques for mitigating food damage. Recently developed multi-criteria decision making (MCDM) techniques are extensively used to make decision-ma...

In Malaysia, embankment dams are frequently constructed because they benefit the local population, particularly in agricultural activities and flood control. However, flood disasters caused by dam breaks have catastrophic consequences on human lives and immensely damage the environment, infrastructure, and socio-economic stability, especially in do...

Predicting reservoir water levels helps manage droughts and floods. Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. Our study introduces a new model for predicting reservoir water levels. An extreme learning machine, t...

Movement Control Order (MCO) and Conditional Movement Control Order (CMCO) has been implemented throughout the country to reduce the effect of the COVID-19 outbreak. During MCO, several activities, including anthropogenic activities, are not allowed to be operated. Kim-Kim River, which receives most of the effluent from the industrial area, is chos...

Dam failure due to extreme runoff events can cause major impact to human lives and property. In order to protect the life and property downstream of Kenyir catchment in Malaysia, this research aimed to estimate Probable Maximum Flood (PMF) using the Hydrological Model HEC-HMS version 4.8 accompanied with the Geographic Information System (ArcGIS)....

Extensive hydrological analysis is carried out to estimate floods for the Batu Dam, a hydropower dam located in the urban area upstream of Kuala Lumpur, Malaysia. The study demonstrates the operational state and reliability of the dam structure based on hydrologic assessment of the dam. The surrounding area is affected by heavy rainfall and climate...

Recently, there has been increased interest in using optimization techniques to find the optimal operation for reservoirs by applying them to various aspects of the reservoir operating system, such as finding the optimal rule curves for reservoirs. The use of different algorithms (artificial bee colony (ABC), particle swarm optimization (PSO), gene...

The dam related disaster caused thousands of people's lives and billions of property damages in the world and in Malaysia. The loss of life and property damages is mostly happened due to dam failure and the lack of timely evacuation procedures. Currently, insufficient integrated and comprehensive research are being done in Malaysia, including the i...

Sediment-related disaster is one of the most significant natural disasters, from the perspective of magnitude, damage and loss to human life and infrastructure, and disruption to socio-economic activities. Debris, mud flood, landslide and cliff failure are the major catastrophic problems commonly experienced in most developing countries, including...

Dam failure is undeniably catastrophic and one of its major causes is the soil erosion near the dam structure. In this paper, the characteristics and compositions of soil sediment in dam spillway structure were investigated to determine its impact on the occurrence of erosion. Four suspended samples were taken from the vicinity of Ogee dam spillway...

The occurrence of unprecedented flood events has increased in Malaysia recently. To mitigate the impact of the disaster, the National Flood Forecasting and Warning Centre has endeavored to improve the warning system to produce more accurate and reliable early warning to the public. The paper describes the use of radar composites from the radar netw...

The tsunami is one of the deadliest natural disasters, responsible for more than 260,000 deaths and billions in economic losses over the last two decades. The footage of the devastating power of the 2004 Indian Ocean tsunami perhaps remains vivid in the memory of most survivors, and Malaysia was one of the countries affected by the unprecedented 20...

Dams that are not designed to withstand major storms may be destroyed and increase the flood damage opportunities downstream. For protecting the lives and land downstream of Cameron Highlands, Malaysia, the current research targeted to estimate the Probable Maximum Precipitation based on the updated rainfall and other meteorological data and predic...

Critical infrastructure systems consist of physical and cyber assets that are essential to the operation of the economy and the government. As one of the most important critical infrastructures worldwide, the water sector has become vulnerable to new risks in the form of cyber threats that can severely impact public health, and are difficult to det...

Trend analysis of historical and future climatic precipitation was investigated in the Kelantan River Basin over the past (1985–2016) and future periods (2020-2050) under RCP4.5 and RCP8.5 scenarios. The Mann-Whitney test was adopted to compare the variations of the historical and projected precipitation data. The Mann-Kendall test and Sen slope we...

The increases in extreme rainfall could increase the probable maximum food (PMF) and pose a severe threat to the critical hydraulic infrastructure such as dams and food protection structures. This study is conducted to assess the impact of climate change on PMF in a tropical catchment. Climate and infow data of the Tenmengor reservoir, located in t...

The fisheries industry of Malaysia is known as the strategic sector that can help the country raise domestic food production and supply. This research proposed machine learning (ML) based prediction of marine fish landings to project fish supply and compare those projections with the observed data. Three ML models, i.e., linear regression (LR), dec...

The optimization of the operation of reservoirs is one of the complex problems in terms of non-linear problems, large numbers of decision variables, and multiple constraints that are difficult to simulate and find solutions to. Researchers have tested several metaheuristics algorithms (MHAs) in the field of water resources and use them to optimize...

Impact-based forecasting (IBF) is a relatively new concept to implement in Malaysia. The catastrophic effects of natural disasters such as floods can be minimized if an early forecasting system is being developed. Also, by using the IBF concept, people can forecast the devastating impact of natural disasters such as flood, which is very prone to ha...

Large areas of Malaysia repeatedly suffer from prolonged, significant floods and in past, several flood-related disasters happened due to heavy rainfall in the Golok River Basin at the Kelantan state of Malaysia. Therefore, in this research, the hydrological analysis is being conducted in that area and five extreme flood disasters are chosen for va...

Sediment related disaster is the most significant natural disaster in Malaysia and many countries in this world from the perspective of magnitude, damage and loss to human life and infrastructure as well as disruption to socio-economic activities. Debris, mud flood, landslide and cliff failure are some of the major catastrophic problems and became...

Theories of dam construction that were created eventually laid the groundwork for dam safety, allowing for the design of higher-quality dams to be built. Dam engineers continued to experiment with new technology to build dams in a safer, more cost-effective, and environmentally friendly manner. The Discrete Particle Method (DPM) is commonly used in...

The increases in extreme rainfall could increase the probable maximum food (PMF) and pose a severe threat to the critical hydraulic infrastructure such as dams and food protection structures. This study is conducted to assess the impact of climate change on PMF in a tropical catchment. Climate and infow data of the Tenmengor reservoir, located in...

The agricultural sector is one of the most important sources of CO2 emissions. Thus, the current study predicted CO2 emissions based on data from the agricultural sectors of 25 provinces in Iran. The gross domestic product (GDP), the square of the GDP (GDP2), energy use, and income inequality (Gini index) were used as the inputs. The study used sup...

One of foremost issue arise in the dam management and dam reliability assessment is the sedimentation of suspended particles. Sedimentation affected the energy production and efficiency, storage, discharge capacity, and flood attenuation capabilities. In this paper, the sediment transport and scouring in the dam spillway structure was modelled usin...

Coupled with climate change, the urbanization-driven increase in the frequency and intensity of floods can be seen in both developing and developed countries, and Malaysia is no exemption. As part of flood hazard mitigation, this study aimed to simulate the urban flood scenarios in Malaysia’s urbanized catchments. The flood simulation was performed...

Climate change causes more frequent and intense rainfall events, leading to severe erosion in the catchment and sediment transferred into rivers and reservoirs. This study focus on long term sediment load in major rivers in Cameron Highlands and prediction of annual sediment inflow into Ringlet Reservoir from 2000 to 2030. Soil Water Assessment Too...

Accurate prediction of water level (WL) is essential for the optimal management of different water resource projects. The development of a reliable model for WL prediction remains a challenging task in water resources management. In this study, novel hybrid models, namely, Generalized Structure-Group Method of Data Handling (GS-GMDH) and Adaptive N...

Malaysia, being a tropical country located near the equatorial doldrums, experiences the annual occurrence of flood hazards due to monsoon rainfalls and urban development. In recent years, environmental policies in the country have shifted towards sustainable flood risk management. As part of the development of flood forecasting and warning systems...

High-level architecture (HLA) and Distributed Interactive Simulation (DIS) are commonly used for the distributed system. However, HLA suffers from a resource allocation problem and to solve this issue, optimization of load balancing is required. Efficient load balancing can minimize the simulation time of HLA and this optimization can be done using...

The fishing industry is identified as a strategic sector to raise domestic protein production and supply in Malaysia. Global changes in climatic variables have impacted and continue to impact marine fish and aquaculture production, where machine learning (ML) methods are yet to be extensively used to study aquatic systems in Malaysia. ML-based algo...

The formation of vortex and swirling in any flow structures of the hydropower dam is undesirable, as it reduced the performance of turbine as well as lowered the efficiency of hydroelectric power generation. Furthermore, it could lead to the hydraulic losses at the entrance of power intakes, the blockage at the trash racks due to entrain debris and...

Constructed wetland is commonly used as a practice to reduce non-point source pollutants and as a stormwater treatment system. For many years, the evaluation of water quality assessment for the constructed wetland is using normal sampling and laboratory work. However, in line with the technology expansion, the prediction for water quality using mod...

A smart home inhabitant performs a unique pattern or sequence of tasks repeatedly. Thus, a machine learning approach will be required to build an intelligent network of home appliances, and the algorithm should respond quickly to execute the decision. This study proposes a decision tree-based machine learning approach for predicting the activities...

At the heart of every critical national infrastructure, there is a SCADA system. The wide range of supported applications has made this life-saving management system the key element of every industrial control infrastructure in various sectors. The complexity and sophistication of SCADA systems have been increased dramatically over the last few yea...

Increased extreme rainfall due to climate change will increase the probable maximum flood (PMF) and pose a severe threat the critical hydraulic infrastructure like hydroelectric and flood protection dams. As the rainfall extremes in tropical regions are highly sensitive to global warming, increase PMF can be much higher in the tropics. A study has...

Impact-based forecasting and warning services aim to bridge the gap between producers and users of warning information by connecting and increasing synergies between the components of effective early warning systems. In this research, we proposed an automated warning message based on colour codes to trigger risk mitigation actions at the local leve...

Dams play a vital role in our modern life but it may fail in any undesirable situation and have a disastrous effect on society, economy and environment. As most of the dams in Malaysia undergo aging factors, the integrity of dams should be examined. This research assesses the flood impact analysis on direct damages and loss of life (LOL) for the Pe...

SCADA systems are commonly used to track and manage utilities in vital national infrastructures including electricity generation and delivery, transportation networks, water supply and manufacturing, and manufacturing facilities. Cyber-attacks that threaten data privacy in SCADA networks, such as unauthorised misuse of sensor or control signals, ma...

This study assesses the structural analysis on the sector gate in dam spillway with 5 m gap opening. The parameters determined on this study are equivalent stress and total deformation. The structure analysis on the spillway structure is due to the impact of water discharge. Computational fluid dynamic (CFD) modelling is applied to assess the water...

Comparator is a key component in energy-efficient applications such as memory-sensing, radiofrequency identification (RFID), analog-to-digital converter (ADC), etc. Among different types of comparator circuits, the preamplifier-based design is lack of increasing the power consumption due to large current. Moreover, dynamic latch comparators can pro...

Reservoir sedimentation is one of the most common lakes and reservoirs degradation. With land use change and more development in the catchment area, soil loss becomes more imminent causing more sediment yield into the reservoir. With this uprising trend, it is important to predict sediment yield using soil loss (RUSLE) and sediment delivery ratio (...

Sedimentation issue is becoming an emerging challenge in hydropower dam due to land use changes and frequent heavy storm in the recent decades. This study carried out an assessment on sedimentation problem in Kenyir hydropower reservoir in Malaysia based on hydrological, land use, topographic, soil erosion and dam capacity data. The results showed...