Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison

  • Andreas Pacholski*
  • , Johannes Doehler
  • , Urs Schmidhalter
  • , Thomas Kreuter
  • *Corresponding author for this work

Research output: Journal contributionsJournal articlesResearchpeer-review

7 Citations (Scopus)

Abstract

The use of emission factors (EF) for ammonia (NH3) after fertilizer application is a central tool for nitrogen management. Ammonia loss measurements after application of urea fertilizer at three research sites in Germany indicated that emissions deviated from European standard EFs. Scenario modelling of emissions based on long term weather data and variable application dates could provide a robust basis for the derivation of EFs. Two model approaches were used to test this approach for urea applied to winter wheat. The two model approaches comprised the dynamic model Volt’Air’ and a statistical model. Scenario calculations were run for 15 years and 4 application dates in each year for the 3 sites. The empirical model performed better at predicting cumulative losses. Both models simulated more than half of relative NH3 emissions (% urea N applied) in a range of 0–10%. The average and median EFs by both models over all application dates were 10.2 and 8.1%, respectively, and were substantially lower than the current European EFs for urea (15–16%). The lowest median and mean EFs were observed at beginning of the vegetation period with 4.3/4.8 and 7.2/6.7% applied N for empirical and Volt’Air model, respectively, and highest at wheat anthesis (15/17.4 and 11/10.2%). Scenario modelling can be considered as a tool for the derivation of robust and representative EFs for NH3 emissions not only for urea but also other emitting fertilizer sources. A much more expanded data set is needed and both model approaches require further development to reach this aim.

Original languageEnglish
JournalNutrient Cycling in Agroecosystems
Volume110
Issue number1
Pages (from-to)177-193
Number of pages18
ISSN1385-1314
DOIs
Publication statusPublished - 01.01.2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Research areas and keywords

  • Ammonia
  • Cumulative loss
  • Deterministic model
  • Empirical model
  • Modelling
  • Winter oil seed rape
  • Winter wheat
  • Environmental planning

ASJC Scopus Subject Areas

  • Soil Science
  • Agronomy and Crop Science

Fingerprint

Dive into the research topics of 'Scenario modeling of ammonia emissions from surface applied urea under temperate conditions: application effects and model comparison'. Together they form a unique fingerprint.

Cite this