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A comprehensive review of machine learning for water quality prediction over the past five years
Water quality prediction, a well-established field with broad implications across various
sectors, is thoroughly examined in this comprehensive review. Through an exhaustive …
sectors, is thoroughly examined in this comprehensive review. Through an exhaustive …
[HTML][HTML] Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …
resources especially groundwater. Recent studies have reported significant impact of …
[HTML][HTML] Develo** a novel tool for assessing the groundwater incorporating water quality index and machine learning approach
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 …
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 …
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 …
utilizing data-driven approaches, especially those integrating machine learning and artificial …
[HTML][HTML] Assessing the impact of COVID-19 lockdown on surface water quality in Ireland using advanced Irish water quality index (IEWQI) model
The COVID-19 pandemic has significantly impacted various aspects of life, including
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …
environmental conditions. Surface water quality (WQ) is one area affected by lockdowns …
[HTML][HTML] Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
This study assessed water quality (WQ) in Tongi Canal, an ecologically critical and
economically important urban canal in Bangladesh. The researchers employed the Root …
economically important urban canal in Bangladesh. The researchers employed the Root …
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
Optimisation and interpretation of machine and deep learning models for improved water quality management in Lake Loktak
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 …
hydrology and economy of the region, but faces deteriorating water quality due to …
[HTML][HTML] Assessment of human health risk from potentially toxic elements and predicting groundwater contamination using machine learning approaches
Abstract The Rooppur Nuclear Power Plant (RNPP) at Ishwardi, Bangladesh is planning to
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
go into operation within 2024 and therefore, adjacent areas of RNPP is gaining adequate …
[HTML][HTML] AI-driven modelling approaches for predicting oxygen levels in aquatic environments
Reliable water quality models are crucial for better water management and pollution control.
Biochemical oxygen demand (BOD) and dissolved oxygen (DO) are the widely recognized …
Biochemical oxygen demand (BOD) and dissolved oxygen (DO) are the widely recognized …