Importance of soil NO emissions for the total atmospheric NOxbudget of Saxony, Germany

Research output: Research - peer-reviewJournal article – Annual report year: 2017

  • Author: Molina-Herrera, Saúl

    Karlsruhe Institute of Technology

  • Author: Haas, Edwin

    Karlsruhe Institute of Technology

  • Author: Grote, Rüdiger

    Karlsruhe Institute of Technology

  • Author: Kiese, Ralf

    Karlsruhe Institute of Technology

  • Author: Klatt, Steffen

    Karlsruhe Institute of Technology

  • Author: Kraus, David

    Karlsruhe Institute of Technology

  • Author: Butterbach-Bahl, Klaus

    Karlsruhe Institute of Technology

  • Author: Kampffmeyer, Tatjana

    University of Stuttgart

  • Author: Friedrich, Rainer

    University of Stuttgart

  • Author: Andreae, Henning

    Competence Centre Wood and Forestry

  • Author: Loubet, Benjamin

    INRA Institut National de La Recherche Agronomique

  • Author: Ammann, Christof

    Agroscope

  • Author: Horvath, Laszlo

    Hungarian Meteorological Service

  • Author: Larsen, Klaus Steenberg

    Risø National Laboratory for Sustainable Energy, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Frederiksborgvej 399, 4000, Roskilde, Denmark

  • Author: Gruening, Carsten

    European Commission Joint Research Centre Institute

  • Author: Frumau, K. F. Arnoud

    Vrije Universiteit Amsterdam

  • Author: Butterbach-Bahl, Klaus

    International Livestock Research Institute

View graph of relations

Soils are a significant source for the secondary greenhouse gas NO and assumed to be a significant source of tropospheric NOxin rural areas. Here we tested the LandscapeDNDC model for its capability to simulate magnitudes and dynamics of soil NO emissions for 22 sites differing in land use (arable, grassland and forest) and edaphic as well as climatic conditions. Overall, LandscapeDNDC simulated mean soil NO emissions agreed well with observations (r2= 0.82). However, simulated day to day variations of NO did only agree weakly with high temporal resolution measurements, though agreement between simulations and measurements significantly increased if data were aggregated to weekly, monthly and seasonal time scales. The model reproduced NO emissions from high and low emitting sites, and responded to fertilization (mineral and organic) events with pulse emissions. After evaluation, we linked the LandscapeDNDC model to a GIS database holding spatially explicit data on climate, land use, soil and management to quantify the contribution of soil biogenic NO emissions to the total NOxbudget for the State of Saxony, Germany. Our calculations show that soils of both agricultural and forest systems are significant sources and contribute to about 8% (uncertainty range: 6–13%) to the total annual tropospheric NOxbudget for Saxony. However, the contributions of soil NO emission to total tropospheric NOxshowed a high spatial variability and in some rural regions such as the Ore Mts., simulated soil NO emissions were by far more important than anthropogenic sources.

Original languageEnglish
JournalAtmospheric Environment
Volume152
Pages (from-to)61-76
Number of pages16
ISSN1352-2310
DOIs
StatePublished - 2017
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Distributed modeling, Emission inventory, LandscapeDNDC, Model evaluation, NOemissions, Soil emissions
Download as:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word

ID: 142115083