Chapter 8
Trend Analysis of Air Pollution
and Nitrogen Deposition Over
the Netherlands Using the EMEP4NL
and OPS Model
Eric van der Swaluw, Wilco de Vries, Roy Wichink Kruit, Jan Aben,
Massimo Vieno, Hilde Fagerli, Peter Wind and Addo van Pul
Abstract A trend analysis is performed over the period 2006–2015 for concentration and deposition of nitrogen compounds over the Netherlands. The analysis is
performed with high resolution (~1 km) model simulations with the Gaussian plume
model OPS and the grid model EMEP4NL. Both models use the same MACC III
emission distribution for countries outside of the Netherlands, and spatially more
detailed emissions for the Netherlands itself. Emission totals per SNAP sector per
country are used over the period 2006–2015, according to the latest CEIP expert
estimates. The OPS model is driven with yearly specific meteorological fields provided by the Royal Netherlands Meteorological Institute (KNMI), while EMEP4NL
is driven by meteorological output data from the open source WRF meteorological
model. Results from the model calculations are first compared with measurements.
Next, the focus of the analysis will be on the effect of atmospheric chemistry on trend
analysis of nitrogen components, like ammonia and ammonium in the atmosphere,
and the dry and wet nitrogen deposition to the surface: OPS strongly parameterizes
the chemistry, whereas EMEP4NL uses a state-of-the-art chemistry scheme. The
influence of atmospheric chemistry on modeled trends in concentration and deposition is determined by comparing the trend calculations of both models, and their
connection with trends in emissions of precursor gases over the period 2006–2015.
E. van der Swaluw (B) · W. de Vries · R. W. Kruit · J. Aben · A. van Pul
RIVM, PO Box 1, 3720 BA Bilthoven, The Netherlands
e-mail: Eric.van.der.Swaluw@rivm.nl
M. Vieno
Centre for Ecology and Hydrology, Penicuik, UK
H. Fagerli · P. Wind
EMEP MSC-W, Norwegian Meteorological Institute, Oslo, Norway
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_8
47
Trend Analysis of Air Pollution
and Nitrogen Deposition Over
the Netherlands Using the EMEP4NL
and OPS Model
Eric van der Swaluw, Wilco de Vries, Roy Wichink Kruit, Jan Aben,
Massimo Vieno, Hilde Fagerli, Peter Wind and Addo van Pul
Abstract A trend analysis is performed over the period 2006–2015 for concentration and deposition of nitrogen compounds over the Netherlands. The analysis is
performed with high resolution (~1 km) model simulations with the Gaussian plume
model OPS and the grid model EMEP4NL. Both models use the same MACC III
emission distribution for countries outside of the Netherlands, and spatially more
detailed emissions for the Netherlands itself. Emission totals per SNAP sector per
country are used over the period 2006–2015, according to the latest CEIP expert
estimates. The OPS model is driven with yearly specific meteorological fields provided by the Royal Netherlands Meteorological Institute (KNMI), while EMEP4NL
is driven by meteorological output data from the open source WRF meteorological
model. Results from the model calculations are first compared with measurements.
Next, the focus of the analysis will be on the effect of atmospheric chemistry on trend
analysis of nitrogen components, like ammonia and ammonium in the atmosphere,
and the dry and wet nitrogen deposition to the surface: OPS strongly parameterizes
the chemistry, whereas EMEP4NL uses a state-of-the-art chemistry scheme. The
influence of atmospheric chemistry on modeled trends in concentration and deposition is determined by comparing the trend calculations of both models, and their
connection with trends in emissions of precursor gases over the period 2006–2015.
E. van der Swaluw (B) · W. de Vries · R. W. Kruit · J. Aben · A. van Pul
RIVM, PO Box 1, 3720 BA Bilthoven, The Netherlands
e-mail: Eric.van.der.Swaluw@rivm.nl
M. Vieno
Centre for Ecology and Hydrology, Penicuik, UK
H. Fagerli · P. Wind
EMEP MSC-W, Norwegian Meteorological Institute, Oslo, Norway
© Springer Nature Switzerland AG 2020
C. Mensink et al. (eds.), Air Pollution Modeling and its Application XXVI,
Springer Proceedings in Complexity,
https://doi.org/10.1007/978-3-030-22055-6_8
47