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  5. IPCC Emission Factor Overestimates N<sub>2</sub>O Emissions from Agricultural Ditches

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Article
en
2024

IPCC Emission Factor Overestimates N<sub>2</sub>O Emissions from Agricultural Ditches

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en
2024
Vol 58 (45)
Vol. 58
DOI: 10.1021/acs.est.4c05760

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Pete Smith
Pete Smith

University of Aberdeen

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Wenxin Wu
Sophie Comer‐Warner
Mike Peacock
+6 more

Abstract

Agricultural ditches emit disproportionate amounts of nitrous oxide (N2O), but their contributions to regional or global N2O emissions remain unclear due to limited data. The Intergovernmental Panel on Climate Change (IPCC) recommends using emission factors (EFs) to estimate indirect N2O emission, but the EF for ditches (EF5g) is categorized as groundwater, which potentially introduces a significant bias. This study conducted a regional-scale campaign in the North China Plain, one of the world's most intensive agricultural regions, and calculated the EF5g values from agricultural ditches by the concentration method (N2O-N/NO3--N). The results found that the regional-scale mean EF5g value (0.0028) was less than half of the IPCC default value (0.006), illustrating that the current IPCC methodology significantly overestimates N2O emissions from agricultural ditches. Despite the relatively small EF5g values, agricultural ditches exhibited a high mean N2O concentration (3.36 μg L-1) and a large regional emission (1.14 ± 0.86 Gg N2O-N yr-1), which is equal to 3.8 ± 2.9% of direct N2O emission from the croplands in the North China Plain. Since ditches are ubiquitous in agricultural regions and are likely to expand under climate change, refining EF5g is crucial to accurately assess their contribution to global N2O budgets.

How to cite this publication

Wenxin Wu, Sophie Comer‐Warner, Mike Peacock, Xingxing Han, Si‐Liang Li, Xiaotang Ju, Cong‐Qiang Liu, Pete Smith, Zhifeng Yan (2024). IPCC Emission Factor Overestimates N<sub>2</sub>O Emissions from Agricultural Ditches. , 58(45), DOI: https://doi.org/10.1021/acs.est.4c05760.

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Publication Details

Type

Article

Year

2024

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.est.4c05760

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