TY - JOUR
T1 - Simulating N2O Emissions From Inland Waters
T2 - Model Development and Site-Level Study
AU - Shi, Weiwei
AU - Yan, Zhifeng
AU - Sun, Qingqing
AU - Wu, Wenxin
AU - Liang, Xia
AU - Wang, Shilu
AU - Fan, Hongxiang
AU - Yin, Hang
AU - Li, Si Liang
AU - Tian, Hanqin
N1 - Publisher Copyright:
© 2026. The Author(s). Water Resources Research published by Wiley Periodicals LLC on behalf of American Geophysical Union.
PY - 2026/5
Y1 - 2026/5
N2 - Inland waters are significant sources of atmospheric nitrous oxide (N2O), and their emissions are expected to rise rapidly due to human activities. However, current estimates remain highly uncertain, partly because sparse field measurements and existing models fail to capture fine-scale variations in N2O emissions, especially due to the interactions between fluid dynamics and biogeochemical drivers. This study developed an N2O module in the Environmental Fluid Dynamics Code (EFDC), a comprehensive numerical model capable of simulating hydrodynamics and water quality in different inland aquatic systems, by incorporating key nitrogen (N) processes that influence N2O production and emissions. The developed model was applied to a typical mountainous reservoir in China, and reliably reproduced the temporal and spatial variations in N2O concentrations and fluxes. Seasonal patterns of N2O fluxes were primarily driven by temperature, stratification, and nutrient availability, with autumn exhibiting the peak values. In contrast, spatial variations were mainly regulated by fluid dynamics and nutrient availability, with the highest N2O fluxes observed in the main part of the reservoir. Furthermore, the whole-reservoir N2O budget indicated that sediments were the primary source of N2O, which is mainly produced via denitrification under low dissolved oxygen conditions, underscoring the importance of understanding the sedimentary N cycle. Overall, our model enables the quantification of significant spatiotemporal variations in N2O emissions from inland waters and unravels the underlying mechanisms, thereby enhancing our mechanistic understanding of N2O dynamics and improving the quantification accuracy of N2O emissions at broader scales.
AB - Inland waters are significant sources of atmospheric nitrous oxide (N2O), and their emissions are expected to rise rapidly due to human activities. However, current estimates remain highly uncertain, partly because sparse field measurements and existing models fail to capture fine-scale variations in N2O emissions, especially due to the interactions between fluid dynamics and biogeochemical drivers. This study developed an N2O module in the Environmental Fluid Dynamics Code (EFDC), a comprehensive numerical model capable of simulating hydrodynamics and water quality in different inland aquatic systems, by incorporating key nitrogen (N) processes that influence N2O production and emissions. The developed model was applied to a typical mountainous reservoir in China, and reliably reproduced the temporal and spatial variations in N2O concentrations and fluxes. Seasonal patterns of N2O fluxes were primarily driven by temperature, stratification, and nutrient availability, with autumn exhibiting the peak values. In contrast, spatial variations were mainly regulated by fluid dynamics and nutrient availability, with the highest N2O fluxes observed in the main part of the reservoir. Furthermore, the whole-reservoir N2O budget indicated that sediments were the primary source of N2O, which is mainly produced via denitrification under low dissolved oxygen conditions, underscoring the importance of understanding the sedimentary N cycle. Overall, our model enables the quantification of significant spatiotemporal variations in N2O emissions from inland waters and unravels the underlying mechanisms, thereby enhancing our mechanistic understanding of N2O dynamics and improving the quantification accuracy of N2O emissions at broader scales.
KW - NO emissions
KW - fluid dynamics
KW - greenhouse gas
KW - inland waters
KW - process-based model
KW - reservoir
UR - https://www.scopus.com/pages/publications/105039302544
U2 - 10.1029/2025WR041544
DO - 10.1029/2025WR041544
M3 - 文章
AN - SCOPUS:105039302544
SN - 0043-1397
VL - 62
JO - Water Resources Research
JF - Water Resources Research
IS - 5
M1 - e2025WR041544
ER -