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Simulating N2O Emissions From Inland Waters: Model Development and Site-Level Study

  • Weiwei Shi
  • , Zhifeng Yan*
  • , Qingqing Sun
  • , Wenxin Wu
  • , Xia Liang
  • , Shilu Wang
  • , Hongxiang Fan
  • , Hang Yin
  • , Si Liang Li*
  • , Hanqin Tian
  • *此作品的通讯作者
  • Tianjin University
  • Khalifa University of Science and Technology
  • University of Missouri
  • University of Waterloo
  • CAS - Institute of Geochemistry
  • CAS - Nanjing Institute of Geography and Limnology
  • University of Macau
  • Boston College

科研成果: 期刊稿件文章同行评审

摘要

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.

源语言英语
文章编号e2025WR041544
期刊Water Resources Research
62
5
DOI
出版状态已出版 - 5月 2026

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 15 - 陆地生物
    可持续发展目标 15 陆地生物

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