Ali Najah Ahmed
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View article: A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction
A multi-scale CNN-GRU fusion model with stationary wavelet transform for 14-day ahead dam water level prediction Open
This study investigated the effectiveness of SWT data decomposition in enhancing CNN-GRU early-, slow- and late fusion models for 14-day ahead water level prediction at the Klang Gates Dam. The impact of replacing CNN in the CNN-GRU fusion…
View article: Advancing climate change impact assessment on global hydropower systems: Methodologies, models, and recommendations
Advancing climate change impact assessment on global hydropower systems: Methodologies, models, and recommendations Open
View article: Strengthening Dam Safety Under Climate Change: A Risk-Informed Overtopping Assessment
Strengthening Dam Safety Under Climate Change: A Risk-Informed Overtopping Assessment Open
Climate change is intensifying hydrological extremes, posing growing threats to the safety and operational reliability of embankment dams worldwide, particularly those in regions susceptible to heavy rainfall and flooding. This study evalu…
View article: Synergistic enhancement of compression and post-crack response in GFRP-reinforced concrete slabs using CFRP laminates and sheets
Synergistic enhancement of compression and post-crack response in GFRP-reinforced concrete slabs using CFRP laminates and sheets Open
This paper explores the compressive behavior of concrete slabs to gain a clearer understanding of their compressive strength and deformation characteristics under loading. A series of experimental tests were carried out, in which the slabs…
View article: The urban heat Island effect: A review on predictive approaches using artificial intelligence models
The urban heat Island effect: A review on predictive approaches using artificial intelligence models Open
With the global population now exceeding 8 billion and 4.5 billion of whom residing in urban areas, rapid urbanization has contributed to a range of environmental and ecological challenges, notably the Urban Heat Island (UHI) effect. Accor…
View article: Investigating the shear and velocity profiles within the estuary of Shatt Al-Arab river, Southern Iraq
Investigating the shear and velocity profiles within the estuary of Shatt Al-Arab river, Southern Iraq Open
View article: Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data
Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data Open
Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive mod…
View article: Editorial: Ensuring water security for sustainable development
Editorial: Ensuring water security for sustainable development Open
View article: QUANTITATIVE AND PERSPECTIVE EVALUATION ON THE ENVIRONMENTAL NOISE POLLUTION AND COMMUNITY ANNOYANCE IN THE VICINITY OF A RESIDENTIAL AREA
QUANTITATIVE AND PERSPECTIVE EVALUATION ON THE ENVIRONMENTAL NOISE POLLUTION AND COMMUNITY ANNOYANCE IN THE VICINITY OF A RESIDENTIAL AREA Open
Noise is an unwanted sound that causes dissatisfaction, discomfort, and annoyance at a high level and long exposure. High environmental noise levels lead to annoyance in the residential area of the community. This study aimed to investigat…
View article: Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia
Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia Open
View article: A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network
A practical temporal transfer learning model for multi-step water quality index forecasting using A CNN-coupled dual-path LSTM network Open
View article: Injury Incidence in Community-Based Walking Football: A Four-Month Cohort Study of 6000+ Hours of Play
Injury Incidence in Community-Based Walking Football: A Four-Month Cohort Study of 6000+ Hours of Play Open
Walking Football is a growing adapted sport offering a viable alternative to traditional exercise for middle-aged and older adults. While rule modifications aim to reduce injury risk, this has yet to be established. This study conducted in…
View article: Toward Sustainable Campus Energy Management: A Comprehensive Review of Energy Management, Predictive Algorithms, and Recommendations
Toward Sustainable Campus Energy Management: A Comprehensive Review of Energy Management, Predictive Algorithms, and Recommendations Open
View article: Benefits and risks of walking football for healthy ageing: a narrative review
Benefits and risks of walking football for healthy ageing: a narrative review Open
The global ageing population necessitates public health strategies to address age-related health decline. While physical activity is widely recognised as beneficial, exercise referral schemes often struggle to sustain participation. Walkin…
View article: Overtopping risk of high-hazard embankment dam under climate change condition
Overtopping risk of high-hazard embankment dam under climate change condition Open
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 …
View article: Advancements in rainfall-runoff prediction: Exploring state-of-the-art neural computing modeling approaches
Advancements in rainfall-runoff prediction: Exploring state-of-the-art neural computing modeling approaches Open
Rainfall-runoff (RR) is a vital process as it is a key component of the Earth’s water cycle, which is required for the survival of life on our planet. It is responsible for water resource management as it will alter the water quality and a…
View article: Sustainable Development in the Face of Climate Change Integration Climate Mitigation and Adaptation into Urban Planning
Sustainable Development in the Face of Climate Change Integration Climate Mitigation and Adaptation into Urban Planning Open
This research explores the integration of adaptation and climate mitigation strategies within urban planning as a measure to promote sustainable development and resilience. The research utilized a quantitative research method that was base…
View article: River water quality monitoring using machine learning with multiple possible in-situ scenarios
River water quality monitoring using machine learning with multiple possible in-situ scenarios Open
Water quality is influenced by a wide range of factors, but it is expensive and technically difficult to take into account every factor, which leaves out quality variations. The assessment process is made more difficult by the need for dif…
View article: Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques
Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques Open
Foam glass (FG) is characterized by its lightweight structure and exceptional insulating properties, making it a highly suitable material for a wide range of applications. It is produced by foaming molten glass, resulting in a cellular str…
View article: The Effects of Female Education on Energy Poverty and Fuel Choice
The Effects of Female Education on Energy Poverty and Fuel Choice Open
View article: Erratum: <i>Water Practice and Technology</i>, 19 (11): 4338–4354: Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia, Jing Lin Ng <i>et al</i>., https://dx.doi.org/10.2166/wpt.2024.265
Erratum: <i>Water Practice and Technology</i>, 19 (11): 4338–4354: Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia, Jing Lin Ng <i>et al</i>., https://dx.doi.org/10.2166/wpt.2024.265 Open
View article: Enhanced Fuzzy Clustering Approach for Overlapping Community Detection via Structural Neighborhood Similarity
Enhanced Fuzzy Clustering Approach for Overlapping Community Detection via Structural Neighborhood Similarity Open
View article: A review on machine learning models for drought monitoring and forecasting
A review on machine learning models for drought monitoring and forecasting Open
View article: Water impact analysis due to coal-electricity generation using the life cycle assessment method: a case study in Malaysia
Water impact analysis due to coal-electricity generation using the life cycle assessment method: a case study in Malaysia Open
Coal power plants adversely impact air pollution, but they also pose a risk to our water sources. Discharge wastewater from power plants may degrade the quality of nearby water bodies. This study evaluates the potential water-related envir…
View article: Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model
Advancements in evaporation prediction: introducing the Gated Recurrent Unit–Multi-Kernel Extreme Learning Machine (MKELM)–Gaussian Process Regression (GPR) model Open
Predicting evaporation is an essential topic in water resources management. It is critical to plan irrigation schedules, optimize hydropower production, and accurately calculate the overall water balance. Thus, researchers have developed m…
View article: Estimating compressive strength of high-performance concrete using different machine learning approaches
Estimating compressive strength of high-performance concrete using different machine learning approaches Open
The assessment of compressive strength in high-performance concrete (HPC) holds significant importance, both in practical applications and in the context of its challenging mix proportions design, which often demands numerous experimental …
View article: Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia
Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia Open
Missing streamflow data is a common issue in Peninsular Malaysia, as the technologies used in hydrological studies often fail to collect data accurately. Additionally, conventional methods are still widely used in the region, which are les…
View article: Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting
Enhancing hydrological predictions: optimised decision tree modelling for improved monthly inflow forecasting Open
The utilisation of modelling tools in hydrology has been effective in predicting future floods by analysing historical rainfall and inflow data, due to the association between climate change and flood frequency. This study utilised a histo…
View article: Self-attention transformer model for pan evaporation prediction: a case study in Australia
Self-attention transformer model for pan evaporation prediction: a case study in Australia Open
In drought-prone regions like Australia, accurately assessing evaporation rates is essential for effectively managing and maximising the use of precious water resources and reservoirs. Current estimates show that evaporation reduces Austra…
View article: Trend and Interrelationship of PM2.5, Gaseous Pollutants and Meteorological Factors in Kuala Terengganu, Malaysia
Trend and Interrelationship of PM2.5, Gaseous Pollutants and Meteorological Factors in Kuala Terengganu, Malaysia Open