Agriculture
; Budget control
; Climate models
; Forestry
; Geographic information systems
; Greenhouse gases
; Land use
; Soils
; Troposphere
; Anthropogenic sources
; Distributed modeling
; Emission inventories
; High temporal resolution measurement
; LandscapeDNDC
; Model evaluation
; Simulations and measurements
; Spatial variability
; Soil pollution
; nitric oxide
; agricultural soil
; anthropogenic source
; atmospheric modeling
; database
; emission inventory
; forest soil
; GIS
; greenhouse gas
; model validation
; nitrous oxide
; rural area
; soil emission
; spatial variation
; timescale
; troposphere
; Article
; calculation
; climate
; energy yield
; Germany
; land use
; priority journal
; rural area
; simulation
; soil analysis
; Erzgebirge Mountains
; Germany
; Saxony
Scopus学科分类:
Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要:
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. � 2016 Elsevier Ltd
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU), Garmisch-Partenkirchen, Germany; Institute for Energy Economics and Rational Use of Energy, Department of Technology Assessment and Environment, University of Stuttgart, Stuttgart, Germany; Public Enterprise Sachsenforst, Competence Centre Wood and Forestry, Pirna, Germany; INRA, Institut National de la Recherche Agronomique, Thiverval-Grignon, France; Agroscope Research Station, Z�rich, Switzerland; Hungarian Meteorological Service, S�rv�r, Hungary; Risoe National Laboratory, Plant Research Department, Roskilde, Denmark; European Commission - Joint Research Centre, Ispra, Italy; Faculty of Earth and Life Sciences, VU University, Amsterdam, Netherlands; Mazingira Centre, International Livestock Research Institute (ILRI), Nairobi, Kenya
Recommended Citation:
Molina-Herrera S,, Haas E,, Grote R,et al. Importance of soil NO emissions for the total atmospheric NOxbudget of Saxony, Germany[J]. Atmospheric Environment,2017-01-01,152