Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: a review on new strategies involving machine learning and artificial …

S Sahu, A Kaur, G Singh, SK Arya - Journal of environmental management, 2023 - Elsevier
In the pursuit of effective wastewater treatment and biomass generation, the symbiotic
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

PS Patel, DM Pandya, M Shah - Environmental Science and Pollution …, 2023 - Springer
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 …

Human health risk assessment of nitrate and heavy metals in urban groundwater in Southeast Nigeria

DA Ayejoto, JC Egbueri - Ecological Frontiers, 2024 - Elsevier
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 …

[HTML][HTML] Marine waters assessment using improved water quality model incorporating machine learning approaches

MG Uddin, A Rahman, S Nash, MTM Diganta… - Journal of …, 2023 - Elsevier
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 …

Human health risk of nitrate in groundwater of Tehran–Karaj plain, Iran

M Alizadeh, R Noori, B Omidvar, A Nohegar… - Scientific Reports, 2024 - nature.com
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 …

Assessing long-term climate change impact on spatiotemporal changes of groundwater level using autoregressive-based and ensemble machine learning models

V Nourani, AHG Tapeh, K Khodkar, JJ Huang - Journal of Environmental …, 2023 - Elsevier
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 …

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 …

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 …

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 …

Deep machine learning-based water level prediction model for Colombo flood detention area

M Herath, T Jayathilaka, Y Hoshino, U Rathnayake - Applied Sciences, 2023 - mdpi.com
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 …