Unveiling microbial nitrogen metabolism in rivers using a machine learning approach

Cited by (111)

Items 101–111 of 111

1. Prediction and multi-objective optimization of effluent total nitrogen and energy consumption for WWTP under imbalanced data challenge
   Hongbin Zeng, Ketong Xu, Chaohai Wei, Lichao Nengzi, Guanglei Qiu · 2026 · SSRN Electronic Journal
2. Freeze–thaw cycles promote N₂O accumulation by weakening nosZ-mediated N₂O reduction in subsurface wastewater infiltration systems
   Fei Su, Zijian Li, Yinghua Li, Xin Wang, Lei Yang, Xin Yuan · 2026 · Journal of Water Process Engineering
3. Trade-off mechanisms between N2O emissions and nitrogen multifunctionality in a lake littoral mesocosm wetland under seasonal water-level fluctuations: insights from metagenomics and machine learning
   Rui Su, Dayong Zhao, Xiaomin Zhang, Qinglong L. Wu, Jin Zeng · 2026 · Water Research
4. Online–Offline Characterization of Airborne Fungal Spores Using Real-Time Monitoring and Causal Learning: Implications for Exposure Risk
   Zhuo Chen, Ian Crawford, Roland Sarda‐Estève, Hao Zhang, David O. Topping, Martin W. Gallagher · 2026 · SSRN Electronic Journal
5. Interpretable machine learning predictions reveal climate-driven escalation of arsenic in Tibetan alpine headwater rivers
   Lei Chai, Juyi Sun, Huimin Yu, Xiaoping Wang, Ruixuan Zhang, Yunqiao Zhou, Huike Dong, Ping Gong · 2026 · Journal of Hazardous Materials
6. Nutrient Transfer Hypothesis for the Fluctuation and Regional Variation of Microbial Diversity in the Pacific Ocean
   Dong Xu, Xiangang Hu, Kai Hu, Zehou Li, Wei‐Lei Wang · 2026 · Environmental Microbiology
7. Atmospheric deposition dominates trifluoroacetic acid loading in a large urbanized river: Insights from mass balance and causal inference
   Kai Liu, Mingrui Ma, Yuanhang Zhang, Shunzhe Wei, Zhiyuan Sun, Xingye Chen, Xin Qian · 2026 · Environmental Pollution
8. Divergent transpiration regulation among 20 urban tree species under extreme heat revealed by UAV multisource remote sensing
   Tuqiang Chen, Jinhui Jeanne Huang · 2026 · Remote Sensing of Environment
9. Prediction of groundwater nitrogen metabolic potential based on fluorescence information: An integrated semi-supervised learning-automated machine learning approach
   Zongyi Peng, 郭建阳, You Mou, Yezhi Yang, Yi Li, Longfei Wang · 2026 · Environmental Technology & Innovation
10. Synergistic drivers of microbial carbon, nitrogen fixation and phosphorus mobilization in mining soils by integrating machine learning with causal analysis
    Yun Zhang, Yalin Yin, Huiling Zhang, Li Tian, Tuantuan Cui, Jianan Lu, Yetao Tang, Shizhong Wang, Rongliang Qiu, Yingheng Fei et al. · 2026 · Journal of Hazardous Materials
11. Linking eDNA-derived plankton functional states to routine water quality for cross-river ecological inference
    Yan Pan, Mingjing Wang, Guowangchen Liu, Weichen Wang, 胡春明 HU Chunming, Zhenyao Shen, Lei Chen · 2026 · SSRN Electronic Journal