Current status and prospects of algal bloom early warning technologies: A Review

Y Peng, W Zhang, X Yang, Z Zhang, G Zhu… - Journal of Environmental …, 2024 - Elsevier
In recent years, frequent occurrences of algal blooms due to environmental changes have
posed significant threats to the environment and human health. This paper analyzes the …

[HTML][HTML] Crisis-driven disruptions in global waste management: Impacts, challenges and policy responses amid COVID-19, Russia-Ukraine war, climate change, and …

MA Hossain, N Ferdous, E Ferdous - Environmental Challenges, 2024 - Elsevier
In recent years, the world has been navigating through a series of crises, including the
COVID-19 pandemic, the Russia-Ukraine war, climate change, and massive food waste that …

[HTML][HTML] Develo** a novel tool for assessing the groundwater incorporating water quality index and machine learning approach

AM Sajib, MTM Diganta, A Rahman… - Groundwater for …, 2023 - Elsevier
Groundwater plays a pivotal role as a global source of drinking water. To meet sustainable
development goals, it is crucial to consistently monitor and manage groundwater quality …

[HTML][HTML] Data-driven evolution of water quality models: an in-depth investigation of innovative outlier detection approaches-A case study of Irish Water Quality Index …

MG Uddin, A Rahman, FR Taghikhah, AI Olbert - Water Research, 2024 - Elsevier
Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …

[HTML][HTML] Marine waters assessment using improved water quality model incorporating machine learning approaches

MG Uddin, A Rahman, S Nash, MTM Diganta… - Journal of …, 2023 - Elsevier
In marine ecosystems, both living and non-living organisms depend on “good” water quality.
It depends on a number of factors, and one of the most important is the quality of the water …

[HTML][HTML] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches

MG Uddin, S Nash, A Rahman, T Dabrowski… - Environmental …, 2024 - Elsevier
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …

[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches

AM Sajib, MTM Diganta, M Moniruzzaman… - Ecological …, 2024 - Elsevier
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …

[HTML][HTML] Assessment of hydrogeochemistry in groundwater using water quality index model and indices approaches

MG Uddin, MTM Diganta, AM Sajib, MA Hasan… - Heliyon, 2023 - cell.com
Groundwater resources around the world required periodic monitoring in order to ensure the
safe and sustainable utilization for humans by kee** the good status of water quality …

[HTML][HTML] Comparison between the WFD approaches and newly developed water quality model for monitoring transitional and coastal water quality in Northern Ireland

MG Uddin, A Jackson, S Nash, A Rahman… - Science of the Total …, 2023 - Elsevier
This study aims to evaluate existing approaches for monitoring and assessing water quality
in waterbodies in the North of Ireland using newly developed methodologies. The results …

Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak

S Talukdar, S Bera, MW Naikoo, GV Ramana… - Journal of …, 2024 - Elsevier
Loktak Lake, one of the largest freshwater lakes in Manipur, India, is critical for the eco-
hydrology and economy of the region, but faces deteriorating water quality due to …