Machine learning in natural and engineered water systems

R Huang, C Ma, J Ma, X Huangfu, Q He - Water Research, 2021 - Elsevier
Water resources of desired quality and quantity are the foundation for human survival and
sustainable development. To better protect the water environment and conserve water …

[HTML][HTML] Addressing antibiotic resistance: computational answers to a biological problem?

AH Behling, BC Wilson, D Ho, M Virta… - Current opinion in …, 2023 - Elsevier
The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global
healthcare crisis. Understanding the spread of resistance is predicated on the surveillance …

Metagenomic evidence for cobamide producers driving prokaryotic co-occurrence associations and potential function in wastewater treatment plants

J Wang, K Shi, Z Jing, Y Ge - Environmental Science & …, 2023 - ACS Publications
Cobamides are required by most organisms but are only produced by specific prokaryotic
taxa. These commonly shared cofactors play significant roles in shaping the microbial …

Machine learning modeling for the prediction of phosphorus and nitrogen removal efficiency and screening of crucial microorganisms in wastewater treatment plants

Y Zhang, H Wu, R Xu, Y Wang, L Chen… - Science of The Total …, 2024 - Elsevier
The effectiveness of wastewater treatment plants (WWTPs) is largely determined by the
microbial community structure in their activated sludge (AS). Interactions among microbial …

Improving kitchen waste composting maturity by optimizing the processing parameters based on machine learning model

S Ding, W Huang, W Xu, Y Wu, Y Zhao, P Fang… - Bioresource …, 2022 - Elsevier
As a novel analytical method based on big data, machine learning model can explore the
relationship between different parameters and draw universal conclusions, which was used …

Exploration of machine learning algorithms for predicting the changes in abundance of antibiotic resistance genes in anaerobic digestion

N Haffiez, TH Chung, BS Zakaria, M Shahidi… - Science of The Total …, 2022 - Elsevier
The land application of digestate from anaerobic digestion (AD) is considered a significant
route for transmitting antibiotic resistance genes (ARGs) and mobile genetic elements …

Exploring available input variables for machine learning models to predict biogas production in industrial-scale biogas plants treating food waste

C Li, P He, W Peng, F Lü, R Du, H Zhang - Journal of Cleaner Production, 2022 - Elsevier
Anaerobic digestion (AD) of food waste (FW) has been widely used in China and shows
great potential in both recovering renewable energy and reducing carbon emissions …

Identifying the drivers of chlorophyll-a dynamics in a landscape lake recharged by reclaimed water using interpretable machine learning

C Wang, J Liu, C Qiu, X Su, N Ma, J Li, S Wang… - Science of the Total …, 2024 - Elsevier
The water quality of lakes recharged by reclaimed water is affected by both the fluctuation of
reclaimed water quality and the biochemical processes in the lakes, and therefore the main …

Metagenomic insights into the distribution, mobility, and hosts of extracellular antibiotic resistance genes in activated sludge under starvation stress

S Zhou, Z Yang, S Zhang, Y Gao, Z Tang, Y Duan… - Water Research, 2023 - Elsevier
Extracellular antibiotic resistance genes (eARGs) are important emerging environmental
pollutants in wastewater treatment plants (WWTPs). Nutritional substrate deficiency (ie …

Antibiotic resistance genes in landfill leachates from seven municipal solid waste landfills: Seasonal variations, hosts, and risk assessment

Y Wang, R Zhang, Y Lei, L Song - Science of The Total Environment, 2022 - Elsevier
Landfills are reservoir of antibiotics and antibiotic resistance. Antibiotic resistance would
transport to the environment through landfill leachate, posing threaten to the environment …