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• W3200470345 abstract "Estimates of riverine N2O emission contain great uncertainty because of the lack of quantitative knowledge concerning riverine N2O sources and fates. Using a 3.5-year record of monthly N2O measurements from the Yongan River network of eastern China, we developed a mass-balance model to address the riverine N2O source and sink processes. We achieved reasonable model efficacies (R2 = 0.44-0.84, Nash-Sutcliffe coefficients = 0.40-0.80) across three tributaries and the entire river system. Estimated riverine N2O loads originated from groundwater (38-88%), surface runoff (3-26%), and in-stream production (4-48%). Estimated in-stream losses via atmospheric release + complete denitrification accounted for 76, 95, 25, and 89% of riverine N2O fate for the agricultural, residential, forest, and entire river system, respectively. Considering limited complete denitrification, the model estimated an upper-bound riverine N2O emission rate of 2.65 ton N2O-N km-2 year-1 for the entire river system. Riverine N2O emission estimates were of comparable magnitude to those estimated with a power-law scaling model. Riverine N2O emissions using the IPCC default emission factor (0.26%) overestimated emissions by 3-15 times, whereas the dissolved N2O concentration-based emission factor overestimated or underestimated emissions. This study highlights the importance of combining comprehensive information on N2O sources and fates to achieve accurate riverine N2O emission estimates." @default.
• W3200470345 created "2021-09-27" @default.
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• W3200470345 date "2021-09-14" @default.
• W3200470345 modified "2023-10-18" @default.
• W3200470345 title "Modeling Riverine N₂O Sources, Fates, and Emission Factors in a Typical River Network of Eastern China" @default.
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• W3200470345 doi "https://doi.org/10.1021/acs.est.1c01301" @default.
• W3200470345 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34521193" @default.
• W3200470345 hasPublicationYear "2021" @default.
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