Publications by authors named "Qiurong Bu"
Article Synopsis
- Tracking nitrogen pollution sources is essential for managing water quality but is complicated due to varied contamination scenarios in freshwater systems.
- In this study, the Soil and Water Assessment Tool (SWAT) and a pollution source database were used to classify sub-basins of the Liuyang River watershed based on their main nitrogen pollution sources.
- A Random Forest model was developed to predict pollution sources using various data types, with the best accuracy achieved by combining taxonomic and functional metagenomic data, highlighting key bacterial species as important indicators of pollution.
The characterization of variations in riverine microbiota that stem from contaminant sources and transport modes is important for understanding biogeochemical processes. However, the association between complex anthropogenic nitrogen pollution and bacteria has not been extensively investigated owing to the difficulties faced while determining the distribution of nitrogen contaminants in watersheds. Here, we employed the Soil and Water Assessment Tool alongside microbiological analysis to explore microbial characteristics and their responses to complex nitrogen pollution patterns.
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