Comparative contributions of primary emission and secondary production of HONO from unfertilized soil in Eastern China

• A dual-isotope constraint approach utilizing Δ 17 O-HONO and δ 15 N-HONO is developed to quantify the emission pathways of HONO from soil. • In fertilized soil, bacterial processes contributed 47 ± 10 % of the total soil HONO emissions through nitrification and 48 ± 10 % through denitrification. • Heterogeneous hydrolysis of NO 2 on the soil surface contributed nearly half of the total soil HONO emissions in unfertilized soil. Nitrous acid (HONO), as a crucial precursor of hydroxyl radical (OH) in the atmosphere, dominates the atmospheric oxidizing capacity. Soil microbial activity is a considerable HONO emission source. However, soil can also provide a reaction interface for the secondary production of HONO, but its importance has not been quantitatively demonstrated in the field environment. In this study, observations of stable nitrogen isotope (δ 15 N) and oxygen isotope anomaly (Δ 17 O) of HONO released from farmland soil were conducted to identify the relative importance of primary and secondary HONO sources. The results showed that the HONO emission flux ( F HONO ), δ 15 N-HONO, and Δ 17 O-HONO exhibited differences between intensive fertilization and idle farmland soils, which were 43.9 ± 11.8 ng m −2 s −1 and 4.8 ± 2.7 ng m −2 s −1 for F HONO , −24.3 ± 4.2 ‰ and −19.1 ± 6.3 ‰ for δ 15 N-HONO, and 0.6 ± 0.3 ‰ and 6.2 ± 2.0 ‰ for Δ 17 O-HONO, respectively. Constrained by Δ 17 O and δ 15 N observations of HONO from farmland soil using a Bayesian isotope mixing model, we quantified that 95 % of the F HONO during the intensive fertilization period was contributed by soil bacterial activities, including 47 ± 10 % by nitrification and 48 ± 10 % by denitrification. In idle farmland, where the effects of fertilization are not evident, primary emissions originating from bacterial activities accounted for 48 % to 62 % of the HONO emission flux. The remaining 38 % to 52 % of F HONO was attributed to the heterogeneous hydrolysis of NO₂ occurring on the soil surface. The results highlighted the important contribution of secondary HONO production on the soil surface, a factor that should be considered in model framework for the simulation of soil HONO emissions.

Authors

Institutions

Publication Details

Journal
Sustainable Horizons
Published
2025-03-14
DOI
https://doi.org/10.1016/j.horiz.2025.100136
Citations
3
Primary Topic
Isotope Analysis in Ecology
Type
article
Field-Weighted Citation Impact
5.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative contributions of primary emission and secondary production of HONO from unfertilized soil in Eastern China

Hang Su, Yan-Kun Xiang, Mei‐Yi Fan, Yu‐Chi Lin et al.
3 citations
Sustainable Horizons
Isotope Analysis in Ecology
5.15
article

Comparative contributions of primary emission and secondary production of HONO from unfertilized soil in Eastern China

Hang Su, Yan-Kun Xiang, Mei‐Yi Fan, Yu‐Chi Lin, Y Q Zhang, Xiaoyan Liu, Fang Cao, Ruonan Jiang
article en
3 citations

Abstract

• A dual-isotope constraint approach utilizing Δ 17 O-HONO and δ 15 N-HONO is developed to quantify the emission pathways of HONO from soil. • In fertilized soil, bacterial processes contributed 47 ± 10 % of the total soil HONO emissions through nitrification and 48 ± 10 % through denitrification. • Heterogeneous hydrolysis of NO 2 on the soil surface contributed nearly half of the total soil HONO emissions in unfertilized soil. Nitrous acid (HONO), as a crucial precursor of hydroxyl radical (OH) in the atmosphere, dominates the atmospheric oxidizing capacity. Soil microbial activity is a considerable HONO emission source. However, soil can also provide a reaction interface for the secondary production of HONO, but its importance has not been quantitatively demonstrated in the field environment. In this study, observations of stable nitrogen isotope (δ 15 N) and oxygen isotope anomaly (Δ 17 O) of HONO released from farmland soil were conducted to identify the relative importance of primary and secondary HONO sources. The results showed that the HONO emission flux ( F HONO ), δ 15 N-HONO, and Δ 17 O-HONO exhibited differences between intensive fertilization and idle farmland soils, which were 43.9 ± 11.8 ng m −2 s −1 and 4.8 ± 2.7 ng m −2 s −1 for F HONO , −24.3 ± 4.2 ‰ and −19.1 ± 6.3 ‰ for δ 15 N-HONO, and 0.6 ± 0.3 ‰ and 6.2 ± 2.0 ‰ for Δ 17 O-HONO, respectively. Constrained by Δ 17 O and δ 15 N observations of HONO from farmland soil using a Bayesian isotope mixing model, we quantified that 95 % of the F HONO during the intensive fertilization period was contributed by soil bacterial activities, including 47 ± 10 % by nitrification and 48 ± 10 % by denitrification. In idle farmland, where the effects of fertilization are not evident, primary emissions originating from bacterial activities accounted for 48 % to 62 % of the HONO emission flux. The remaining 38 % to 52 % of F HONO was attributed to the heterogeneous hydrolysis of NO₂ occurring on the soil surface. The results highlighted the important contribution of secondary HONO production on the soil surface, a factor that should be considered in model framework for the simulation of soil HONO emissions.

Sustainable HorizonsVol. 14
Nanjing University of Information Science and Technology (CN), Jiangsu Provincial Meteorological Bureau (CN), Max Planck Institute for Chemistry (DE), Jiangsu Institute of Meteorological Sciences (CN), Chinese Academy of Meteorological Sciences (CN), Ministry of Education (BD), Institute of Atmospheric Physics (CN), Max Planck Institute for Biogeochemistry (DE)
National Natural Science Foundation of China, China National Funds for Distinguished Young Scientists, Natural Science Research of Jiangsu Higher Education Institutions of China
Zero hunger
Openalex Percentile: Top 6%
Isotope Analysis in Ecology
5.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.