The dry deposition of gaseous and participate nitrogen compounds to a spruce stand

Peters, Klaus; Bruckner-Schatt, G.

doi:10.1007/bf01186163

Cited by 17 publications

(4 citation statements)

References 12 publications

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“…Indeed, Peters and Bruckner-Schatt (1995) measured higher deposition velocity of HNO 3 and NH 3 over spruce stand and Seinfeld and Pandis (1998) reported higher deposition velocity for gases than for particles lower than 2.5 µm over water surfaces. An overestimation of the partitioning can therefore lead to an overestimation of total concentrations because the deposition velocities of these gases are generally higher than those of particles (Peters and Bruckner-Schatt, 1995).…”

Section: Ammonium and Nitratementioning

confidence: 99%

“…-An overestimation of NH 3 emissions in winter and autumn and an underestimation of NH 3 emissions in summer as an overestimation of NH 3 would lead to an overestimation of the partitioning of NH 3 and HNO 3 toward the particle phase and therefore lead to an overestimation of both TNO 3 and TNH 4 because the deposition velocities of these gases are generally higher than those of particles (Peters and Bruckner-Schatt, 1995).…”

Section: Ammonium and Nitratementioning

confidence: 99%

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Development of an inorganic and organic aerosol model (CHIMERE 2017β v1.0): seasonal and spatial evaluation over Europe

et al. 2018

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Abstract. A new aerosol module was developed and integrated in the air quality model CHIMERE. Developments include the use of the Model of Emissions and Gases and Aerosols from Nature (MEGAN) 2.1 for biogenic emissions, the implementation of the inorganic thermodynamic model ISORROPIA 2.1, revision of wet deposition processes and of the algorithms of condensation/evaporation and coagulation and the implementation of the secondary organic aerosol (SOA) mechanism H 2 O and the thermodynamic model SOAP.Concentrations of particles over Europe were simulated by the model for the year 2013. Model concentrations were compared to the European Monitoring and Evaluation Programme (EMEP) observations and other observations available in the EBAS database to evaluate the performance of the model. Performances were determined for several components of particles (sea salt, sulfate, ammonium, nitrate, organic aerosol) with a seasonal and regional analysis of results.The model gives satisfactory performance in general. For sea salt, the model succeeds in reproducing the seasonal evolution of concentrations for western and central Europe. For sulfate, except for an overestimation of sulfate in northern Europe, modeled concentrations are close to observations and the model succeeds in reproducing the seasonal evolution of concentrations. For organic aerosol, the model reproduces with satisfactory results concentrations for stations with strong modeled biogenic SOA concentrations. However, the model strongly overestimates ammonium nitrate concentrations during late autumn (possibly due to problems in the temporal evolution of emissions) and strongly underestimates summer organic aerosol concentrations over most of the stations (especially in the northern half of Europe). This underestimation could be due to a lack of anthropogenic SOA or biogenic emissions in northern Europe.A list of recommended tests and developments to improve the model is also given.

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Section: Ammonium and Nitratementioning

confidence: 99%

Section: Ammonium and Nitratementioning

confidence: 99%

Development of an inorganic and organic aerosol model (CHIMERE 2017β v1.0): seasonal and spatial evaluation over Europe

et al. 2018

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show abstract

“…Indeed, Peters and Bruckner-Schatt (1995) measured higher deposition velocity of HNO 3 and NH 3 over spruce stand and Seinfeld and Pandis (1998) reported higher deposition velocity for gases than for particles lower than 2.5 µm over water surfaces. An overestimation of the partitioning can therefore lead to an overestimation of total concentrations because the deposition velocity of these gases are generally higher than those of particles (Peters and Bruckner-Schatt, 1995).…”

Section: Ammonium and Nitratementioning

confidence: 99%

Development of an inorganic and organic aerosol model (Chimere2017β v1.0): seasonal and spatial evaluation over Europe

Couvidat¹,

Bessagnet²,

Vivanco³

et al. 2017

Preprint

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Abstract. A new aerosol module was developed and integrated in the air quality model CHIMERE. Developments include an update of biogenic emissions and of the inorganic thermodynamic model ISORROPIA, revision of wet deposition processes and of the algorithms of condensation/evaporation and coagulation and the implementation of the SOA mechanism H2O and the thermodynamic model SOAP. Concentrations of particles over Europe were simulated by the model for the year 2013. Model concentrations were compared to the EMEP program observations and other observations available in the EBAS database to evaluate the performances of the model. Performances were determined for several components of particles (sea salts, sulfate, ammonium, nitrate, organic aerosol) with a seasonal and regional analysis of results. The model gives good performances in general. For sea salts, the model succeeds in reproducing the seasonal evolution of concentrations for Western and Central Europe. For sulfate, except for an overestimation of sulfate in Northern Europe, modeled concentrations are close to observations with a good seasonal evolution of concentrations. For organic aerosol, the model performs well for stations with strong modeled biogenic SOA concentrations. However, the model strongly overestimates ammonium nitrate concentrations during late autumn (possibly due to problems in the temporal evolution of emissions) and strongly underestimates SOA concentrations over most of stations (especially in the Northern half of Europe). This underestimation could be due to a lack of anthropogenic SOA in the model. A list of recommended tests and developments to improve the model is also given.

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“…In the inferential methods, dry deposition fluxes are derived from the measurements of atmospheric concentrations and the calculation of the deposition velocities which are determined by dry deposition models Wesely and Hicks 2000). The inferential methods for the estimation of dry deposition to forest ecosystems have been widely used, including studies in the USA (e.g., Horii et al 2006;Lovett and Lindberg 1993), Germany (Peters and Bruckner-Schatt 1995;Zimmermann et al 2006), the Netherlands (Draaijers and Erisman 1993;Erisman 1993;Erisman et al 1999), Switzerland Waldner et al 2007), Africa (Zunckel et al 2000), and Japan (Matsuda et al 2001).…”

Section: Introductionmentioning

confidence: 99%

Atmospheric inorganic nitrogen deposition to a typical red soil forestland in southeastern China

Fan

Wang

et al. 2008

Environ Monit Assess

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A 2-year monitoring study was conducted to estimate nitrogen deposition to a typical red soil forestland in southeastern China. The dry deposition velocities (V(d)) were estimated using big leaf resistance analogy model. Atmospheric nitrogen dry deposition was estimated by combing V(d) and nitrogen compounds concentrations, and the wet deposition was calculated via rainfall and nitrogen concentrations in rainwater. The total inorganic nitrogen deposition was 83.7 kg ha(-1) a(-1) in 2004 and 81.3 kg ha(-1) a(-1) in 2005, respectively. The dry deposition contributed 78.6% to total nitrogen deposition, in which ammonia was the predominant contributor that accounted for 86.1%. Reduced nitrogen compounds were the predominant contributors, accounting for 78.3% of total nitrogen deposition. The results suggested that atmospheric inorganic nitrogen could be attributed to intensive agricultural practices such as excessive nitrogen fertilization and livestock production. Therefore, impacts of atmospheric nitrogen originated from agriculture practices on nearby forest ecosystems should be evaluated.

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The dry deposition of gaseous and participate nitrogen compounds to a spruce stand

Cited by 17 publications

References 12 publications

Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

Development of an inorganic and organic aerosol model (Chimere2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

Atmospheric inorganic nitrogen deposition to a typical red soil forestland in southeastern China

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The dry deposition of gaseous and participate nitrogen compounds to a spruce stand

Cited by 17 publications

References 12 publications

Development of an inorganic and organic aerosol model (CHIMERE 2017&lt;i&gt;β&lt;/i&gt; v1.0): seasonal and spatial evaluation over Europe

Development of an inorganic and organic aerosol model (CHIMERE 2017&lt;i&gt;β&lt;/i&gt; v1.0): seasonal and spatial evaluation over Europe

Development of an inorganic and organic aerosol model (Chimere2017&lt;i&gt;β&lt;/i&gt; v1.0): seasonal and spatial evaluation over Europe

Atmospheric inorganic nitrogen deposition to a typical red soil forestland in southeastern China

Contact Info

Product

Resources

About

Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

Development of an inorganic and organic aerosol model (CHIMERE 2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe

Development of an inorganic and organic aerosol model (Chimere2017<i>β</i> v1.0): seasonal and spatial evaluation over Europe