Streams and rivers are important sources of nitrous oxide (N O), a powerful greenhouse gas. Estimating global riverine N O emissions is critical for the assessment of anthropogenic N O emission inventories. The indirect N O emission factor (EF ) model, one of the bottom-up approaches, adopts a fixed EF value to estimate riverine N O emissions based on IPCC methodology.
View Article and Find Full Text PDFOverlying water with suspended particles is a hot spot for nitrogen removal in river systems. Although light exposure affects nitrogen transformations and nitrogen removal in some environments, such effects have rarely been explored and quantified in riverine overlying water. Herein, we examined the difference between dark and light conditions in the community composition and abundance of nitrogen transformation microbes in simulated overlying water by high-throughput sequencing and qPCR.
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