Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Greenhouse gas emissions following biosolids application to farmland: Estimates from the DeNitrification and DeComposition model

Okenna Obi‐Njoku, Michael Yongha Boh, Ward Smith, Brian Grant, G.W. Price, Naseer Hussain, Joann K. Whalen, O. Grant Clark

The Science of The Total Environment · 2022

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Summary

This 2022 modelling study applied the DNDC (DeNitrification and DeComposition) biogeochemical model to quantify greenhouse gas emissions following biosolids application to farmland in North America. By simulating soil nitrification and organic matter decomposition processes, the authors estimated the magnitude and dynamics of soil-derived GHG fluxes in response to wastewater biosolids amendments. The work contributes to understanding the climate implications of land application of biosolids—a widespread agricultural practice for nutrient recycling and waste management.

UK applicability

The UK applies significant quantities of wastewater biosolids to agricultural land; however, findings from North American soil and climatic conditions may require local validation. Results are likely applicable to UK temperate agricultural systems, particularly regarding emission factors and modelling approaches that could inform domestic GHG inventories and biosolids management policy.

Key measures

Greenhouse gas flux rates (N₂O, CH₄, CO₂); nitrification and decomposition processes simulated via DNDC model; cumulative emissions in response to biosolids application rates

Outcomes reported

The study used the DNDC biogeochemical model to simulate and quantify greenhouse gas emissions (nitrous oxide, methane, and carbon dioxide) from soil following biosolids amendment. The modelling estimated soil-derived GHG fluxes across different biosolids application scenarios.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Modelling study
Source type
Peer-reviewed study
Status
Published
Geography
Canada
System type
Mixed farming
DOI
10.1016/j.scitotenv.2022.153695
Catalogue ID
SNmohxviza-km8dj8

Topic tags

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