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Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: a review on new strategies involving machine learning and artificial …
In the pursuit of effective wastewater treatment and biomass generation, the symbiotic
relationship between microalgae and bacteria emerges as a promising avenue. This …
relationship between microalgae and bacteria emerges as a promising avenue. This …
A systematic and comparative study of Water Quality Index (WQI) for groundwater quality analysis and assessment
Water is essential for human survival. Its quality must be maintained to prevent any potential
health problems. Pollution and contamination are likely causes of the water quality decline …
health problems. Pollution and contamination are likely causes of the water quality decline …
Human health risk assessment of nitrate and heavy metals in urban groundwater in Southeast Nigeria
Groundwater contamination by nitrate and heavy metals is a growing global concern due to
its detrimental effects on human health through ingestion and dermal exposure. This study …
its detrimental effects on human health through ingestion and dermal exposure. This study …
[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 …
Human health risk of nitrate in groundwater of Tehran–Karaj plain, Iran
Groundwater pollution by nitrate has is a major concern in the Tehran–Karaj aquifer, Iran,
where the wells provide up to 80% of the water supply for a population of more than 18 …
where the wells provide up to 80% of the water supply for a population of more than 18 …
Assessing long-term climate change impact on spatiotemporal changes of groundwater level using autoregressive-based and ensemble machine learning models
To evaluate the long-term climate change impacts on groundwater fluctuations of the Ardabil
plain, Iran, a groundwater level (GWL) modeling was proposed in this study. Accordingly, the …
plain, Iran, a groundwater level (GWL) modeling was proposed in this study. Accordingly, the …
Revolutionizing biochar synthesis for enhanced heavy metal adsorption: Harnessing machine learning and Bayesian optimization
H Yang, X Liu, Y Liu, J Cui, Y **ao - Journal of Environmental Chemical …, 2023 - Elsevier
Biochar is widely recognized as an effective approach for mitigating heavy metal pollution.
However, the utilization of machine learning models to guide biochar preparation and …
However, the utilization of machine learning models to guide biochar preparation and …
Microbially induced calcium precipitation driven by denitrification: performance, metabolites, and molecular mechanisms
Z Wang, J Su, A Ali, Z Gao, R Zhang, Y Li… - Journal of Environmental …, 2023 - Elsevier
Microbially induced calcium precipitation (MICP) driven by denitrification has attracted
extensive attention due to its application potential in nitrate removal from calcium-rich …
extensive attention due to its application potential in nitrate removal from calcium-rich …
Removal of pollutants from wastewater using coffee waste as adsorbent: A review
LL Kang, YN Zeng, YT Wang, JG Li, FP Wang… - Journal of Water …, 2022 - Elsevier
The problem of water pollution is becoming more and more serious, and many pollutants are
carcinogenic and pose a serious threat to global sustainable and green development …
carcinogenic and pose a serious threat to global sustainable and green development …
Deep machine learning-based water level prediction model for Colombo flood detention area
Machine learning has already been proven as a powerful state-of-the-art technique for many
non-linear applications, including environmental changes and climate predictions. Wetlands …
non-linear applications, including environmental changes and climate predictions. Wetlands …