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- W4296997408 abstract "Global riverine N 2 O emissions have been made by several studies with great uncertainty. However, the regional N 2 O budgets and patterns in large river networks is still unclear, due to the lacking understanding of in-river N 2 O emission rate and well-classified river network water areas. Furthermore, the mass ratio of N 2 O emission against nitrogen(N) load in river networks remains controversial. Here we report N 2 O emissions from the largest river of China, the Changjiang River network, emphasizing the basin-scale control on riverine N 2 O loss rate in response to increasing N loads and river size. We find the N 2 O emission rate is negatively related to Strahler river orders, and positively related to N loading. The velocity (V f ) of N conversion into N 2 O was 0.131-0.436 m yr -1 , and N 2 O loss rate (ζ) was 0.27-37.64 ×10 -4 d -1 and declined exponentially with water discharge. Both the loss rate and the mass ratio of N conversion into N 2 O varied significantly at basin scale, indicating the diminishing capacity of river ecosystems to convert excess DIN into N 2 O when N load increased as a direct result of human activities. Our study shows N 2 O emission was 0.66 Gg N 2 O-N (1Gg=10 9 g) in 1986 and increased to 10.3 Gg N 2 O-N in 2014 for the whole Changjiang River network. We identified the headwater streams are hotspots of N 2 O emission across the headwater stream to the estuary aquatic continuum. N 2 O emission was about 0.82% - 5.31% of global riverine N 2 O budget during 2010-2014. Our study suggested that an integrated approach in view of the riverine N loads and river hydrology is needed to improve estimates of riverine N 2 O emissions." @default.
- W4296997408 created "2022-09-25" @default.
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- W4296997408 date "2022-09-23" @default.
- W4296997408 modified "2023-10-14" @default.
- W4296997408 title "Basin-scale control on N2O loss rate and emission in the Changjiang River network, China" @default.
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- W4296997408 doi "https://doi.org/10.3389/fmars.2022.1025912" @default.
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