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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 …
posed significant threats to the environment and human health. This paper analyzes the …
A triple increase in global river basins with water scarcity due to future pollution
Water security is at stake today. While climate changes influence water availability,
urbanization and agricultural activities have led to increasing water demand as well as …
urbanization and agricultural activities have led to increasing water demand as well as …
[HTML][HTML] A critical analysis of parameter choices in water quality assessment
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 …
from water samples for the water quality index (WQI). Data-driven methods, including …
Optimization of water quality index models using machine learning approaches
F Ding, W Zhang, S Cao, S Hao, L Chen, X ** 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 and forecasting water quality in the Danube River by using neural network approaches
The health and quality of the Danube River ecosystems is strongly affected by the nutrients
loads (N and P), degree of contamination with hazardous substances or with oxygen …
loads (N and P), degree of contamination with hazardous substances or with oxygen …
[HTML][HTML] Marine waters assessment using improved water quality model incorporating machine learning approaches
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 …
It depends on a number of factors, and one of the most important is the quality of the water …
[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] Data-driven modelling for assessing trophic status in marine ecosystems using machine learning approaches
Assessing eutrophication in coastal and transitional waters is of utmost importance, yet
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …
existing Trophic Status Index (TSI) models face challenges like multicollinearity, data …