A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions

JL Uc-Castillo, AE Marín-Celestino… - … Modelling & Software, 2023 - Elsevier
Accurate and reliable groundwater level (GWL) forecasting is crucial for developing
strategies and managing water resources. In recent years, Machine Learning (ML) has …

[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index

MG Uddin, S Nash, MTM Diganta, A Rahman… - Journal of …, 2022 - Elsevier
Coastal water quality assessment is an essential task to keep “good water quality” status for
living organisms in coastal ecosystems. The Water quality index (WQI) is a widely used tool …

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 …

Interpretable tree-based ensemble model for predicting beach water quality

L Li, J Qiao, G Yu, L Wang, HY Li, C Liao, Z Zhu - Water Research, 2022 - Elsevier
Tree-based machine learning models based on environmental features offer low-cost and
timely solutions for predicting microbial fecal contamination in beach water to inform the …

[HTML][HTML] Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model

MG Uddin, MTM Diganta, AM Sajib, A Rahman… - Environmental …, 2023 - Elsevier
The COVID-19 pandemic has significantly impacted various aspects of life, including
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …

[HTML][HTML] Developing 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 …

Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network

J Yang, L Jia, Z Guo, Y Shen, X Li, Z Mou, K Yu… - … Applications of Artificial …, 2023 - Elsevier
Abstract In the Recirculating Aquaculture Systems (RAS), the control of water quality indices
remains essential to survival and growth of aquaculture objects. This requires effect …

[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] Urban river water quality monitoring based on self-optimizing machine learning method using multi-source remote sensing data

P Chen, B Wang, Y Wu, Q Wang, Z Huang, C Wang - Ecological Indicators, 2023 - Elsevier
Urban rivers are complex ecosystems that directly determine the living environment of
human beings. Monitoring the urban river water quality indexes is a challenge in water …

Forecasting bathing water quality in the UK: A critical review

KU Krupska, L Speight, JS Robinson… - Wiley …, 2024 - Wiley Online Library
Climate change is altering rainfall patterns resulting in increasing variability and intensity of
rainfall events worldwide. Increases to short duration, intense rainfall (ie, convective rainfall) …