A5039558099- Water Quality and Pollution Assessment
- Hydrological Forecasting Using AI
- Toxic Organic Pollutants Impact
- Water Quality Monitoring Technologies
- Environmental Toxicology and Ecotoxicology
- Groundwater and Watershed Analysis
- Aquatic Ecosystems and Biodiversity
- Water Resource Management and Quality
- Marine and coastal ecosystems
- Dam Engineering and Safety
- Fisheries and Aquaculture Studies
- Marine Biology and Ecology Research
- Water-Energy-Food Nexus Studies
- Aquatic Ecosystems and Phytoplankton Dynamics
- Environmental and Cultural Studies in Latin America and Beyond
- Water Quality Monitoring and Analysis
- Water resources management and optimization
- Microplastics and Plastic Pollution
- Energy Load and Power Forecasting
Ministry of Natural Resources and Environment
2013-2023
Sultan Zainal Abidin University
2014-2015
Universiti Putra Malaysia
2009
Integrated Chemometric and Artificial Neural Network were being applied in this study to identify the main contributor for flood, predicting hydrological modelling risk of flood occurrence at Kuantan river basin. Based on Correlation Test analysis, relationship Suspended Solid Stream Flow with Water Level very high Pearson correlation coefficient value more than 0.5. Factor Analysis had been carried out based result, variables such as Flow, turned be major factors a strong factor pattern...
In this research, determination of water quality status was carried out by using non-parametric Mann-Kendall analysis for the Linggi River Basin and classification river, HACA PCA has been used to classify river obtain clearest picture status. The dataset includes 6 parameters monitoring stations (1997 2012). trend shows indicate that significant improvement all studied except BOD (WQ1 (P<0.1) WQ6 (P<0.05)) SS (WQ4 were unhealthy trend. This indicates even though WQI getting good in...
Phytoplankton is a vital and important organism as producer of the primary food supply marine freshwater webs. This study conducted to investigate variability phytoplankton abundance related environmental variables in Terengganu River Estuary, by using statistical analysis. Total ten water samples were collected, which three stations estuary seven coastal water. A total 124 taxa 55 genera, belonging six taxonomic classes observed at area. The order was diatoms > blue-green algae golden-brown...
Phytoplankton is a vital and important organism as producer of the primary food supply marine freshwater webs. This study conducted to investigate variability phytoplankton abundance related environmental variables in Terengganu River Estuary, by using statistical analysis. Total ten water samples were collected, which three stations estuary seven coastal water. A total 124 taxa 55 genera, belonging six taxonomic classes observed at area. The order was diatoms > blue-green algae...