Modelling deposition and air concentration of reduced nitrogen in Poland and sensitivity to variability in annual meteorology

Kryza, Maciej; Dore, Anthony J.; Błaś, Marek; Sobik, Mieczysław

doi:10.1016/j.jenvman.2010.12.008

Cited by 29 publications

(26 citation statements)

References 35 publications

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“…It was subsequently improved to include a detailed representation of oxidised nitrogen and sulphur deposition (Fournier et al, 2004;Dore et al, 2007;Vieno et al, 2010b) to be used for assessment of the exceedance of critical loads for nitrogen deposition and acid deposition (Matejko et al, 2009). Other regional scale applications of the model include estimation of ammonia concentrations and deposition of reduced nitrogen in Poland (Kryza et al, 2011) and application to the North China Plains (Zhang et al, 2011), an area demonstrated by remote sensing to be a global hot spot for ammonia concentrations (Clarisse et al, 2009). The relative simplicity of the model corresponds to a fast simulation time (of approximately 12 h for a 1 km resolution using 24 processors on a High Performance Computational Linux cluster).…”

Section: Model Descriptionmentioning

confidence: 99%

“…Previous national scale applications of the FRAME model (Dore et al, 2007;Vieno et al, 2010b;Matejko et al, 2009;Kryza et al, 2011) were undertaken with a 5 km grid resolution. The development of the FRAME model at a 1 km resolution over the UK and application to assess exceedance of the critical level for ammonia concentration in air over Natura 2000 sites (Special Protection Areas and Special Areas of Conservation) is described in Hallsworth et al (2010).…”

Section: Model Descriptionmentioning

confidence: 99%

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The influence of model grid resolution on estimation of national scale nitrogen deposition and exceedance of critical loads

et al. 2012

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Abstract. The Fine Resolution Atmospheric Multi-pollutantExchange model (FRAME) was applied to model the spatial distribution of reactive nitrogen deposition and air concentration over the United Kingdom at a 1 km spatial resolution. The modelled deposition and concentration data were gridded at resolutions of 1 km, 5 km and 50 km to test the sensitivity of calculations of the exceedance of critical loads for nitrogen deposition to the deposition data resolution. The modelled concentrations of NO 2 were validated by comparison with measurements from the rural sites in the national monitoring network and were found to achieve better agreement with the high resolution 1 km data.High resolution plots were found to represent a more physically realistic distribution of reactive nitrogen air concentrations and deposition resulting from use of 1 km resolution precipitation and emissions data as compared to 5 km resolution data. Summary statistics for national scale exceedance of the critical load for nitrogen deposition were not highly sensitive to the grid resolution of the deposition data but did show greater area exceedance with coarser grid resolution due to spatial averaging of high nitrogen deposition hot spots. Local scale deposition at individual Sites of Special Scientific Interest and high precipitation upland sites was sensitive to choice of grid resolution of deposition data. Use of high resolution data tended to generate lower deposition values in sink areas for nitrogen dry deposition (Sites of Scientific Interest) and higher values in high precipitation upland areas. In areas with generally low exceedance (Scotland) and for certain vegetation types (montane), the exceedance statistics were more sensitive to model data resolution.

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Section: Model Descriptionmentioning

confidence: 99%

Section: Model Descriptionmentioning

confidence: 99%

The influence of model grid resolution on estimation of national scale nitrogen deposition and exceedance of critical loads

et al. 2012

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“…Studies carried out in Poland show that there is little year-to-year variability in dry deposition. Wet deposition, on the other hand, varies greatly, and the changes are consistent with precipitation variability [10]. Additionally, spatial and temporal patterns of wet deposition are not consistent with emissions [11,12].…”

Section: Introductionmentioning

confidence: 87%

“…The advection is dependent on wind speed and wind frequency roses, derived from radiosonde data measured at eight stations: Wroclaw, Legionowo, Leba (all three sites located in Poland), Greifswald, Lindenberg (both in Germany), Prague (Czech Republic), Poprad (Slovakia) and Kiev (Ukraine) [10]. Wind roses are based on the method proposed by Dore et al [17], with radiosonde data taken from above the friction layer (750-700 hPa) and annual harmonic mean wind speed calculated for each wind direction.…”

Section: Description Of the Frame Modelmentioning

confidence: 99%

The Impact of Precipitation on Wet Deposition of Sulphur and Nitrogen Compounds

Wałaszek¹,

Kryza²,

Dore³

2013

Ecological Chemistry and Engineering S

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Atmospheric transport model FRAME has been used in this study to estimate the influence of precipitation on the patterns of wet deposition of oxidised sulphur, oxidised nitrogen and reduced nitrogen in Poland during the years 1981-2005. A constant wind and emission data and year-specific spatially interpolated precipitation data was used in the model. The results show that the correlation coefficient between mean annual precipitation totals and mean wet deposition is above 0.9 for all examined compounds. The spatial patterns of pollutant deposition are similar for all years, with the north-western part of Poland receiving the lowest and the southern, mountainous part, the highest pollutant load. The largest precipitation-induced changes in wet deposition budgets are observed for oxidised sulphur (53% of the average amount between wet and dry year), and smaller for oxidised and reduced nitrogen (30%). Inter-annual precipitation changes cause large variations in the amount of wet deposition of pollutants. This means that the emission abatements may not cause immediate environmental effects, eg reductions in deposition of pollutants and, further ecosystems areas of exceeded critical loads.

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“…Although the Eulerian approach is powerful and widely used for elucidating the chemical and physical mechanism in the atmosphere, the Lagrangian approach demonstrates key advantages in presenting sub-grid scale process, minimizing numerical diffusion, artificial dilution and computing resources. The Lagrangian approach has been widely adopted in various models in atmospheric ammonia modeling such as the FRAME model (Singles et al, 1998;Kryza et al, 2011;Zhang et al, 2011), the TREND model (Asman and van Jaarsveld, 1992;Asman, 2001), the ACDEP model (Hertel et al, 1995Gyldenkoerne et al, 2005;de Leeuw et al, 2003;Skjøth et al, 2002Skjøth et al, , 2004Skjøth et al, , 2011, The TERN model (ApSimon et al, 1994), and the NAME model (Redington and Derwent, 2002). Most existing Lagrangian models for atmospheric ammonia modeling are either box-based models or use a simplified dry chemical scheme.…”

Section: Wen Et Al: Modeling Atmospheric Ammonia and Ammoniummentioning

confidence: 99%

Modeling atmospheric ammonia and ammonium using a stochastic Lagrangian air quality model (STILT-Chem v0.7)

et al. 2013

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Abstract.A new chemistry module that simulates atmospheric ammonia (NH 3 ) and ammonium (NH + 4 ) was incorporated into a backward-in-time stochastic Lagrangian air quality model (STILT-Chem) that was originally developed to simulate the concentrations of a variety of gas-phase species at receptors. STILT-Chem simulates the transport of air parcels backward in time using ensembles of fictitious particles with stochastic motions, while accounting for emissions, deposition and chemical transformation forward in time along trajectories identified by the backward-in-time simulations. The incorporation of the new chemistry module allows the model to simulate not only gaseous species, but also multi-phase species involving NH 3 and NH were compared with observations, which show broad agreement between simulated concentrations and observations. Since the model is based on back trajectories, the influence of each major process such as emission, deposition and chemical conversion on the concentration of a modeled species at a receptor can be determined for every upstream location at each time step. This makes it possible to quantitatively investigate the upstream processes affecting receptor concentrations. The modeled results suggest that the concentrations of NH 3 at those sites were significantly and frequently affected by Ohio, Iowa, Minnesota, Michigan, Wisconsin, southwestern Ontario and nearby areas. NH 3 is mainly contributed by emission sources whereas particulate NH + 4 is mainly contributed by the gas-to-aerosol chemical conversion of NH 3 . Dry deposition is the largest removal process for both NH 3 and particulate NH + 4 . This study revealed the contrast between agricultural versus forest sites. Not only were emissions of NH 3 higher, but removal mechanisms (especially chemical loss for NH 3 and dry deposition for NH + 4 ) were less efficient for agricultural sites. This combination explains the significantly higher concentrations of NH 3 and particulate NH + 4 observed at agricultural sites.

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Modelling deposition and air concentration of reduced nitrogen in Poland and sensitivity to variability in annual meteorology

Cited by 29 publications

References 35 publications

The influence of model grid resolution on estimation of national scale nitrogen deposition and exceedance of critical loads

The influence of model grid resolution on estimation of national scale nitrogen deposition and exceedance of critical loads

The Impact of Precipitation on Wet Deposition of Sulphur and Nitrogen Compounds

Modeling atmospheric ammonia and ammonium using a stochastic Lagrangian air quality model (STILT-Chem v0.7)

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