Yuxiu Zhang

TL;DR: Microbial community revealed that methanol increased the abundance of phenolics and PAHs degraders such as Comamonas, Burkholderia and Sphingopyxis, and functional analysis revealed the relative abundance of functional genes associated with toluene, benzoate andPAHs degradation pathways was higher than that of control based on KEGG database.

TL;DR: Three machine learning algorithms, namely random forest (RF), extreme gradient boosting (XGBoost), and deep learning (DL), were evaluated for their feasibility of predicting the performance of ZVI-based AD reactors based on the operating parameters collected in 9 published articles and XGBoast demonstrated the highest accuracy in predicting total methane production.

TL;DR: This study proposed and validated a new strategy of using zero-valent iron (ZVI) to strengthen the anaerobic treatment of CWW and indicated that the decreased oxidation-reduction potential (ORP) by ZVI was the main driver for microbial community succession.

TL;DR: The results suggested that the IPE process was a feasible pretreatment method, and the coupled IPE-A2/O system was an alternative technique for treating CGWW.

TL;DR: The community structure and degradation of organic compounds of a full-scale coking wastewater treatment plant with anaerobic, anoxic, and oxic process (A1/A2/O) were studied and phenols, indole, quinoline and pyridine were the main organic pollutants.