A5103218565- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Climate variability and models
- Precipitation Measurement and Analysis
- Hydrology and Watershed Management Studies
- Disaster Management and Resilience
- Tropical and Extratropical Cyclones Research
- Hydrological Forecasting Using AI
- Meteorological Phenomena and Simulations
- Facility Location and Emergency Management
- Climate change impacts on agriculture
- Landslides and related hazards
- Urban Transport and Accessibility
- Infrastructure Resilience and Vulnerability Analysis
- Urban Stormwater Management Solutions
- Disaster Response and Management
- Ocean Waves and Remote Sensing
- Infrastructure Maintenance and Monitoring
- Supply Chain Resilience and Risk Management
- Financial Risk and Volatility Modeling
- Linguistic, Cultural, and Literary Studies
- Remote Sensing and LiDAR Applications
- Wildlife-Road Interactions and Conservation
- Conservation, Biodiversity, and Resource Management
- Fire effects on ecosystems
University of Technology Malaysia
2013-2024
Malaysia University of Science and Technology
2023
Federal University Dutse
2019
Kyoto University
2013-2015
Kyoto Katsura Hospital
2014
Abstract Over the last two decades, several data sets have been developed to assess flood risk at global scale. In recent years, some of these become detailed enough be informative national scales. The use nationally could enormous benefits in areas lacking existing information and allow better management decisions disaster response. this study, we evaluate usefulness for assessing five countries: Colombia, England, Ethiopia, India, Malaysia. National assessments are carried out each...
This study assesses the influence of climate change on rainfall and drought in Benut River Basin (BRB) to support integrated management Machap dam. The seeks reshape dam safety components near future through a technical focus group discussion (FGD) with key stakeholders. Utilizing Coupled Model Intercomparison Project Phase 6 (CMIP6) dataset for immediate (2020-2040) under various scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5), historical Climate Hazards Group InfraRed Precipitation...
In December 2014, Kelantan was hit by the worst flood ever recorded. Did rainfall exceed historical records, how rare are they and what causes them? This paper answers these questions. Estimation of return periods uses GEV distribution model stations with more than 25 years records. Spatial plots cumulated depths were constructed using IDW interpolation method. Four major outcomes are: 1) patterns show high amounts accumulated phases (Phase 1- daily up to 300 mm; Phase 2- 500 mm); 2) record...
Abstract Early flood warnings are important to allow sufficient time for evacuation. Although warning systems now in place, key questions remain as their effectiveness sending information the public, which may part depend on media used. This paper assesses of disseminated public December 2014 Kelantan Flood, Malaysia. The was worst decades making it an appropriate case study with assess awareness and perceptions associated dissemination. issued via different assessed by questionnaire....
This study developed an integrated disaster risk assessment framework (IDRAF) to measure at the local administrative boundaries in Malaysia. The proposed can enhance government effort for reduction by implementing and guiding decision makers properly evaluate analyze mitigation, preparedness, planning. was developed, expanding from multi-hazard spatial overlapping Methods Improvement of Vulnerability Assessment Europe (MOVE) theoretical framework. There are five significant phases develop...
Rapid urbanization has increased the risks to and vulnerabilities of urban systems, society, organizations. In recent years, areas have been exposed multiple hazards such as floods, landslides, storms, rising sea levels. To reduce elements' risk vulnerability natural hazards, first requirement is a better understanding vulnerable elements stated in Sendai Framework. Different concepts approaches can be employed assessment, depending on scope context study. this study, concept was based six...
Abstract Floods in recent years have frequently resulted environmental, economic, as well loss of human life. People are less aware incoming floods if there is no early warning system. This proposal outlines the design a monitoring system to obtain real-time data on rain gauge and water level. The based IoT via GSM network provide cloud dashboard display Grafana platform. rainfall forecasting model used Long Short-Term Memory (LSTM) networks predict future level values which could cause...
Missing values in rainfall records might result erroneous predictions and inefficient management practices with significant economic, environmental, social consequences. This is particularly important for datasets Peninsular Malaysia (PM) due to the high level of missingness that can affect inherent pattern highly variable time series. In this work, 21 target stations Johor River Basin (JRB) daily data between 1970 2015 were used examine 19 different multiple imputation methods carried out...
ABSTRACT Copulas are a vital statistical tool, particularly in hydrology, for understanding complex relationships among flood characteristics. This study focuses on three key features: peak discharge, volume, and duration, using trivariate copulas to capture their interdependencies. is crucial because bivariate univariate analyses fall short considering all factors simultaneously. To handle extreme values, L-moment proposed over maximum likelihood estimation inference function margin due its...
This study explores the application of geospatial technologies, specifically focusing on Google Earth (GE), to extract and mapping point source pollution in upstream Sungai Skudai Catchment (SRC). A thorough analysis locations restaurants, launderettes, car washes, workshops was made practical by combination Geographic Information Systems (GIS) tools with satellite images, which offers important data for environmental planning water quality management. The research area, located Johor,...
Probable maximum precipitation (PMP) is one of the keys for designing probable flood (PMF) and disaster management. A basin-scale spatial distribution analysis extreme rainfall PMP in Yodo river basin are presented. The 24-hour data from 1881 to 2011 were used. Spatial its isohyetal lines produced using Hershfield Spline interpolation method agrees with historical records. Highest observed around Hikone Shimogahara stations (above 900 mm), while least at Yanagase Torahime (below 500 mm)....
Abstract Flooding is a multi-attribute event that described by many factors such as peak flow and flood volume. It extremely vital to consider both the volume while studying frequency analysis univariate cannot accurately portray issue suffers from an underestimation overestimation problem. Traditional multivariate modeling techniques have several mathematical shortcomings including inability distinguish between marginal joint behavior of variables under study. Therefore, copula function was...
Abstract The authors have requested that this preprint be removed from Research Square.