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 …
strategies and managing water resources. In recent years, Machine Learning (ML) has …
[HTML][HTML] Robust machine learning algorithms for predicting coastal water quality index
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 …
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
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 …
in waterbodies in the North of Ireland using newly developed methodologies. The results …
Interpretable tree-based ensemble model for predicting beach water quality
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 …
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
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] Developing 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 …
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 …
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
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 …
[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 …
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) …
rainfall events worldwide. Increases to short duration, intense rainfall (ie, convective rainfall) …