Development of a computational system for estimating biogenic NMVOCs emissions based on GIS technology

Symeonidis, Panagiotis; Poupkou, A.; Gkantou, Anthia; Melas, Dimitrios; Yay, Ozan Devrim; Pouspourika, Evangelia; Balis, D.

doi:10.1016/j.atmosenv.2007.11.019

Cited by 40 publications

(25 citation statements)

References 20 publications

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“…Isoprene, monotherpenes and other VOCs computed according to Symeonidis et al (2008) MEGAN v. 2.04 (Guenther et al, 2006) Isoprene computed according to Simpson (1995) Isoprene and Monoterpene emissions according to Lamb et al (1993) POET Olivier et al, 2003) MEGAN v2.04 (Guenther et al, 2006) Natural emissions none none Volcano emissions for Italy according to EMEP emission data base none Volcanic emissions of SO 2 taken from Spiro et al (1992) with vertical distribution from Graf et al (1997).…”

Section: Biogenic Emissionsmentioning

confidence: 99%

Air quality trends in Europe over the past decade: a first multi-model assessment

et al. 2011

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Abstract.We discuss the capability of current state-of-theart chemistry and transport models to reproduce air quality trends and interannual variability. Documenting these strengths and weaknesses on the basis of historical simulations is essential before the models are used to investigate future air quality projections. To achieve this, a coordinated modelling exercise was performed in the framework of the CityZEN European Project. It involved six regional and global chemistry-transport models (BOLCHEM, CHIMERE, EMEP, EURAD, OSLOCTM2 and MOZART) simulating air quality over the past decade in the Western European anthropogenic emissions hotspots.Comparisons between models and observations allow assessing the skills of the models to capture the trends in basic atmospheric constituents (NO 2 , O 3 , and PM 10 ). We find that the trends of primary constituents are well reproduced (except in some countries -owing to their sensitivity to the emission inventory) although capturing the more moderate trends of secondary species such as O 3 is more challenging. Apart from the long term trend, the modelled monthly variCorrespondence to: A. Colette (augustin.colette@ineris.fr) ability is consistent with the observations but the year-to-year variability is generally underestimated.A comparison of simulations where anthropogenic emissions are kept constant is also investigated. We find that the magnitude of the emission-driven trend exceeds the natural variability for primary compounds. We can thus conclude that emission management strategies have had a significant impact over the past 10 yr, hence supporting further emission reductions.

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Section: Biogenic Emissionsmentioning

confidence: 99%

Air quality trends in Europe over the past decade: a first multi-model assessment

et al. 2011

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“…The spatial distribution of anthropogenic emissions was derived from a high-resolution emission inventory (Kuenen et al, 2011) for the year 2007 based on the TNO emission inventory for 2005 (Denier van der Gon et al, 2010). Biogenic emissions were taken from Symeonidis et al (2008) or calculated using the parameterizations of Lamb et al (1993) for regions where the data is not available in Symenoidis et al (2008). A horizontal resolution of 45 km was chosen, the atmosphere was divided into 23 vertical layers, and the height of the near surface layer was 35 m. Figure 6 shows the comparisons of observed and simulated ozone, sulfate and nitrate for Cabauw in May 2008.…”

Section: Eurad-im Modeling Systemmentioning

confidence: 99%

Updated aerosol module and its application to simulate secondary organic aerosols during IMPACT campaign May 2008

Elbern

et al. 2013

Atmos. Chem. Phys.

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The formation of Secondary organic aerosol (SOA) was simulated with the Secondary ORGanic Aerosol Model (SORGAM) by a classical gas-particle partitioning concept, using the two-product model approach, which is widely used in chemical transport models. In this study, we extensively updated SORGAM including three major modifications: firstly, we derived temperature dependence functions of the SOA yields for aromatics and biogenic VOCs (volatile organic compounds), based on recent chamber studies within a sophisticated mathematic optimization framework; secondly, we implemented the SOA formation pathways from photo oxidation (OH initiated) of isoprene; thirdly, we implemented the SOA formation channel from NO₃-initiated oxidation of reactive biogenic hydrocarbons (isoprene and monoterpenes). The temperature dependence functions of the SOA yields were validated against available chamber experiments, and the updated SORGAM with temperature dependence functions was evaluated with the chamber data. Good performance was found with the normalized mean error of less than 30%. Moreover, the whole updated SORGAM module was validated against ambient SOA observations represented by the summed oxygenated organic aerosol (OOA) concentrations abstracted from aerosol mass spectrometer (AMS) measurements at a rural site near Rotterdam, the Netherlands, performed during the IMPACT campaign in May 2008. In this case, we embedded both the original and the updated SORGAM module into the EURopean Air pollution and Dispersion-Inverse Model (EURAD-IM), which showed general good agreements with the observed meteorological parameters and several secondary products such as O₃, sulfate and nitrate. With the updated SORGAM module, the EURAD-IM model also captured the observed SOA concentrations reasonably well especially those during nighttime. In contrast, the EURAD-IM model before update underestimated the observations by a factor of up to 5. The large improvements of the modeled SOA concentrations by updated SORGAM were attributed to the mentioned three modifications. Embedding the temperature dependence functions of the SOA yields, including the new pathways from isoprene photo oxidations, and switching on the SOA formation from NO₃ initiated biogenic VOC oxidations, contributed to this enhancement by 10, 22 and 47%, respectively. However, the EURAD-IM model with updated SORGAM still clearly underestimated the afternoon SOA observations up to a factor of two

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“…A detailed emission inventory developed for Greece, Athens and Thessaloniki [25,26] and ship emissions data from the EMEP database are also used in forecast runs. A Biogenic Emission Model has been integrated in the forecast system and is used for the calculation of spatially and temporally resolved biogenic NMVOCs emissions [27,32,33]. The model allows the calculation of isoprene "synthesis" emissions, of monoterpenes "pool" and "synthesis" emissions and of other volatile organic compounds (OVOCs) "pool" emissions on the basis of: 1) the U.S. Geological Survey 1km resolution Eurasia Land Cover Characteristics land use database (version 2), 2) a land-use specific, monthly isoprene, monoterpenes and other volatile organic compounds (OVOCs) emission potentials and foliar biomass densities database and 3) temperature and solar radiation data provided by the mesoscale meteorological model MM5.…”

Section: Background-the Auth Systemmentioning

confidence: 99%

Assessment of Impacts and Risks of Air Pollution Applying Two Strategies of Numerical Chemistry Transport Modelling

Ebel¹,

Melas²,

Ganev³

et al. 2012

JEP

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Assessment of harmful impacts and risks of air pollution in case of accidents as well as of long lasting exposition is an important challenge of chemical transport modeling. Sad confirmation of this statement unexpectedly has come from the nuclear power plant accident in Fukushima which occurred while this paper was finalized. Two strategies to comply with the task of impact and risk assessment in extended regions like Central Europe or the Balkans are described. The first one is characterized by application of a single model system to an extended domain. The other one is based on the combined application of several chemical transport models designed for the use in various sub-domains in the region under consideration. Advantages and disadvantages exist for both approaches. For instance, the single model strategy allows unified and harmonized assessment of risks in a larger region, whereas the combined model strategy may provide faster and locally more specific response in emergency cases. The single model approach is treated exploiting applications of the EURAD model system. The combined model approach is a novel way of joint use of chemical transport model systems developed for the Balkans. The models are described and the accuracy of simulations carried out with them is briefly demonstrated by comparison of simulated and observed concentrations of air pollutants. Applications regarding the search of sources for high pollution events and the assessment of risks through known sources are exemplarily discussed.

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Development of a computational system for estimating biogenic NMVOCs emissions based on GIS technology

Cited by 40 publications

References 20 publications

Air quality trends in Europe over the past decade: a first multi-model assessment

Air quality trends in Europe over the past decade: a first multi-model assessment

Updated aerosol module and its application to simulate secondary organic aerosols during IMPACT campaign May 2008

Assessment of Impacts and Risks of Air Pollution Applying Two Strategies of Numerical Chemistry Transport Modelling

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