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 …

[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 …

An IoT based smart water quality assessment framework for aqua-ponds management using Dilated Spatial-temporal Convolution Neural Network (DSTCNN)

PG Arepalli, KJ Naik - Aquacultural Engineering, 2024 - Elsevier
Assuring the quality of water is crucial for the growth and survival of fish in aquaculture
ponds. Traditional methods of water quality monitoring can be inefficient which makes real …

Coupling machine and deep learning with explainable artificial intelligence for improving prediction of groundwater quality and decision-making in Arid Region, Saudi …

F Alshehri, A Rahman - Water, 2023 - mdpi.com
Recently, machine learning (ML) and deep learning (DL) models based on artificial
intelligence (AI) have emerged as fast and reliable tools for predicting water quality index …

Research on water resource modeling based on machine learning technologies

Z Liu, J Zhou, X Yang, Z Zhao, Y Lv - Water, 2024 - mdpi.com
Water resource modeling is an important means of studying the distribution, change,
utilization, and management of water resources. By establishing various models, water …

[HTML][HTML] Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU

PG Arepalli, KJ Naik - Ecological Informatics, 2024 - Elsevier
Water contamination presents a significant challenge in aquaculture, impacting the
sustainability of ecosystems and the health of aquatic organisms. Precisely assessing water …

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 …

[HTML][HTML] A critical analysis of parameter choices in water quality assessment

H Moeinzadeh, KT Yong, A Withana - Water Research, 2024 - Elsevier
The determination of water quality heavily depends on the selection of parameters recorded
from water samples for the water quality index (WQI). Data-driven methods, including …

Sensitivity analysis-driven machine learning approach for groundwater quality prediction: Insights from integrating ENTROPY and CRITIC methods

I Khan, M Ayaz - Groundwater for Sustainable Development, 2024 - Elsevier
Precise estimation of water quality is essential for managing water pollution effectively and
improving water management practices. Although, numerous recent investigations have …

Smarter water quality monitoring in reservoirs using interpretable deep learning models and feature importance analysis

S Majnooni, M Fooladi, MR Nikoo, G Al-Rawas… - Journal of Water …, 2024 - Elsevier
This study utilized datasets from an ongoing monitoring project conducted in Wadi Dayqah
Dam, the largest reservoir in Oman. The dataset comprises information on ten water quality …