Indoor heating triggers bacterial ecological links with tap water stagnation during winter: Novel insights into bacterial abundance, community metabolic activity and interactions DOI
Haihan Zhang, Lei Xu, Tinglin Huang

et al.

Environmental Pollution, Journal Year: 2020, Volume and Issue: 269, P. 116094 - 116094

Published: Nov. 18, 2020

Language: Английский

Arsenic and antimony co-contamination influences on soil microbial community composition and functions: Relevance to arsenic resistance and carbon, nitrogen, and sulfur cycling DOI Creative Commons
Yongbin Li, Miaomiao Zhang, Rui Xu

et al.

Environment International, Journal Year: 2021, Volume and Issue: 153, P. 106522 - 106522

Published: April 1, 2021

Microorganisms can mediate arsenic (As) and antimony (Sb) transformation thus change the As Sb toxicity mobility. The influence of on innate microbiome has been extensively characterized. However, how microbial metabolic potentials are influenced by co-contamination is still ambiguous. In this study, we selected two contrasting sites located in Shimen realgar mine, largest mine Asia, to explore adaptability response soil impact potentials. It observed that geochemical parameters, including fractions, were driving forces reshaped community composition Bacteria associated with Bradyrhizobium, Nocardioides, Sphingomonas, Burkholderia, Streptomyces predicted be tolerant high concentrations Sb. Co-occurrence network analysis revealed genes related C fixation, nitrate/nitrite reduction, N sulfate reduction positively correlated suggesting biogeochemical cycling may interact benefit from C, N, S cycling. results suggest not only influences As-related genes, but also other

Language: Английский

Citations

165
Combined effects of seasonality and stagnation on tap water quality: Changes in chemical parameters, metabolic activity and co-existence in bacterial community DOI
Haihan Zhang, Lei Xu, Tinglin Huang

et al.

Journal of Hazardous Materials, Journal Year: 2020, Volume and Issue: 403, P. 124018 - 124018

Published: Sept. 17, 2020

Language: Английский

Citations

99
Dissolved oxygen disturbs nitrate transformation by modifying microbial community, co-occurrence networks, and functional genes during aerobic-anoxic transition DOI
Xiaoyan Liu, Sihai Hu, Ran Sun

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 790, P. 148245 - 148245

Published: June 8, 2021

Language: Английский

Citations

83
Urbanization reduces resource use efficiency of phytoplankton community by altering the environment and decreasing biodiversity DOI

Yigang Yang,

Huihuang Chen, Mamun Abdullah Al

et al.

Journal of Environmental Sciences, Journal Year: 2021, Volume and Issue: 112, P. 140 - 151

Published: June 3, 2021

Language: Английский

Citations

83
Nitrate reduction by the aerobic denitrifying actinomycete Streptomyces sp. XD-11-6-2: Performance, metabolic activity, and micro-polluted water treatment DOI
Haihan Zhang, Ben Ma, Tinglin Huang

et al.

Bioresource Technology, Journal Year: 2021, Volume and Issue: 326, P. 124779 - 124779

Published: Jan. 29, 2021

Language: Английский

Citations

66
Nitrogen removal by two strains of aerobic denitrification actinomycetes: Denitrification capacity, carbon source metabolic ability, and raw water treatment DOI
Ben Ma, Haihan Zhang,

Manli Ma

et al.

Bioresource Technology, Journal Year: 2021, Volume and Issue: 344, P. 126176 - 126176

Published: Oct. 22, 2021

Language: Английский

Citations

66
NirS-type denitrifying bacteria in aerobic water layers of two drinking water reservoirs: Insights into the abundance, community diversity and co-existence model DOI
Haihan Zhang,

Yinjie Shi,

Tinglin Huang

et al.

Journal of Environmental Sciences, Journal Year: 2022, Volume and Issue: 124, P. 215 - 226

Published: Feb. 2, 2022

Language: Английский

Citations

39
New insights into microbial community for simultaneous removal of carbon and nitrogen via heterotrophic nitrification aerobic denitrification process DOI
Weidong Xiao, Guangcai Meng, Chengzhen Meng

et al.

Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112896 - 112896

Published: April 25, 2024

Language: Английский

Citations

9
Machine Learning-Based Early Warning of Algal Blooms: A Case Study of Key Environmental Factors in the Anzhaoxin River Basin DOI Open Access

Yuyin Ao,

Juntao Fan, Fen Guo

et al.

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 725 - 725

Published: March 1, 2025

Algal blooms are a major risk to aquatic ecosystem health and potable water safety. Traditional statistical models often fail accurately predict algal bloom dynamics due their complexity. Machine learning, adept at managing high-dimensional non-linear data, provides superior predictive approach this challenge. In study, we employed support vector machine (SVM), random forest (RF), backpropagation neural network (BPNN) the severity of in Anzhaoxin River Basin based on an density-based grading standard. The SVM model demonstrated highest accuracy with training test set accuracies 0.96 0.92, highlighting its superiority small-sample learning. Shapley Additive Explanations (SHAP) technique was utilized evaluate contribution environmental variables various models. results show that TP is most significant factor affecting outbreak River, phosphorus management strategy more suitable for artificial body northeast China. This study contributes exploring potential application learning diagnosing predicting riverine ecological issues, providing valuable insights protection ecosystems Basin.

Language: Английский

Citations

1
Aromatic compounds releases aroused by sediment resuspension alter nitrate transformation rates and pathways during aerobic-anoxic transition DOI
Xiaoyan Liu, Ran Sun, Sihai Hu

et al.

Journal of Hazardous Materials, Journal Year: 2021, Volume and Issue: 424, P. 127365 - 127365

Published: Sept. 29, 2021

Language: Английский

Citations

56