Modelling surface ozone during the 2003 heat-wave in the UK

Vieno, Massimo; Dore, Anthony J.; Stevenson, David S.; Doherty, Ruth M.; Heal, Mathew R.; Reis, Stefan; Hallsworth, Stephen; Tarrasón, L.; Wind, Peter; Fowler, D.; Simpson, David; Sutton, Mark A.

doi:10.5194/acp-10-7963-2010

Cited by 181 publications

(163 citation statements)

References 40 publications

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“…Land use categories were based on the MODIS IGBP classification. This WRF configuration is similar to that discussed in Vieno et al (2010), where it is shown to perform well in comparison with measurements. An evaluation of the WRF-EMEP4UK modelling system against measured gaseous and particulate pollutant concentrations across the UK for 2001 to 2010 is given by Lin et al (2017), while Ots et al (2016) compares WRF-EMEP4UK air quality simulations with detailed measurements of secondary organic aerosols made in London during the 2012 ClearfLo campaign.…”

Section: Regional-scale Modelling: Emep4uksupporting

confidence: 60%

“…2. An intermediate 10 km × 10 km resolution domain is used for WRF (Weather Research and Forecasting Model) to ensure numerical stability, but is not required for the chemistry transport calculations (Vieno et al, 2010). Full details of the WRF model domains are given in Table A1.…”

Section: Regional-scale Modelling: Emep4ukmentioning

confidence: 99%

“…The main EMEP MSC-W model has been widely used for both scientific studies and for policymaking in Europe, with references to evaluation and application studies available in Simpson et al (2012), Schulz et al (2013) and at http://www.emep.int (last access: 1 August 2018). EMEP4UK is described in Vieno et al (2010Vieno et al ( , 2014Vieno et al ( , 2016a; the version used here is based on EMEP MSC-W rv4.5. It uses one-way nesting from a 50 km × 50 km resolution greater European domain (standard EMEP domain) to an inner 5 km × 5 km domain which covers the British Isles and nearby parts of continental Europe, both in a polar stereographic projected coordinate system, as shown in Fig.…”

Section: Regional-scale Modelling: Emep4ukmentioning

confidence: 99%

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Air quality simulations for London using a coupled regional-to-local modelling system

et al. 2018

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Abstract. A coupled regional-to-local modelling system comprising a regional chemistry-climate model with 5 km horizontal resolution (EMEP4UK) and an urban dispersion and chemistry model with explicit road source emissions (ADMS-Urban) has been used to simulate air quality in 2012 across London. The study makes use of emission factors for NO x and NO 2 and non-exhaust emission rates of PM 10 and PM 2.5 which have been adjusted compared to standard factors to reflect real-world emissions, with increases in total emissions of around 30 % for these species. The performance of the coupled model and each of the two component models is assessed against measurements from background and near-road sites in London using a range of metrics concerning annual averages, high hourly average concentrations and diurnal cycles. The regional model shows good performance compared to measurements for background sites for these metrics, but under-predicts concentrations of all pollutants except O 3 at near-road sites due to the low resolution of input emissions and calculations. The coupled model shows good performance at both background and near-road sites, which is broadly comparable with that of the urban model that uses measured concentrations as regional background, except for PM 2.5 where the under-prediction of the regional model causes the coupled model to also under-predict concentrations. Using the coupled model, it is estimated that 13 % of the area of London exceeded the EU limit value of 40 µg m −3 for annual average NO 2 in 2012, whilst areas of exceedances of the annual average limit values of 40 and 25 µg m −3 for PM 10 and PM 2.5 respectively were negligible.

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Section: Regional-scale Modelling: Emep4uksupporting

confidence: 60%

Section: Regional-scale Modelling: Emep4ukmentioning

confidence: 99%

Section: Regional-scale Modelling: Emep4ukmentioning

confidence: 99%

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Air quality simulations for London using a coupled regional-to-local modelling system

et al. 2018

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“…Meteorology also plays a large role in local-scale ozone concentration affecting deposition and transport (e.g. Vieno et al, 2010;Francis et al, 2011) alongside transport and dispersion in urban Figure 28. In a continental chemistry transport simulation with the CHIMERE model at a resolution of 8 km, major urban centres in northern and central Europe highlight the NO x titration process (left: summertime average of daily maximum ozone), while the total oxidant level (right: O 3 as NO 2 + O 3 , annual mean) is high in most European cities (adapted from Terrenoire et al, 2015).…”

Section: Atmosmentioning

confidence: 99%

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

et al. 2015

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Abstract. Ozone holds a certain fascination in atmospheric science. It is ubiquitous in the atmosphere, central to tropospheric oxidation chemistry, yet harmful to human and ecosystem health as well as being an important greenhouse gas. It is not emitted into the atmosphere but is a byproduct of the very oxidation chemistry it largely initiates. Much effort is focused on the reduction of surface levels of ozone owing to its health and vegetation impacts, but recent efforts to achieve reductions in exposure at a country scale have proved difficult to achieve owing to increases in background ozone at the zonal hemispheric scale. There is also a growing realisation that the role of ozone as a short-lived climate pollutant could be important in integrated air quality climate change mitigation. This review examines current understanding of the processes regulating tropospheric ozone at global to local scales from both measurements and models. It takes the view that knowledge across the scales is important for dealing with air quality and climate change in a synergistic manner. The review shows that there remain a number of clear challenges for ozone such as explaining surface trends, incorporating new chemical understanding, ozone-climate coupling, and a better assessment of impacts. There is a clear and present need to treat ozone across the range of scales, a transboundary issue, but with an emphasis on the hemispheric scales. New observational opportunities are offered both by satellites and small sensors that bridge the scales.

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“…The system is similar to the EMEP4UK modelling system (Vieno et al, 2010) which is designed for scientific and policy studies in the UK at 5-km horizontal resolution. A detailed description of the configuration of NILU''s WRF--EMEP model system is given in Karl et al (2014).…”

Section: Elsevier_stoten_17722mentioning

confidence: 99%

Modelling atmospheric oxidation of 2-aminoethanol (MEA) emitted from post-combustion capture using WRF–Chem

Karl

Svendby

Walker

et al. 2015

Science of The Total Environment

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Limiting global warming to less than 2 °C relative to pre-industrial levels would require substantial cuts in anthropogenic emissions of greenhouse gases (IPCC, 2014). Carbon capture and storage (CCS) is an important mitigation technology for reducing anthropogenic carbon dioxide (CO 2 ) emissions from industrial and energy-related point sources. In this process, CO 2 is captured, conditioned, compressed and transported to a storage location for long-term isolation from the atmosphere. Several problems can occur during CCS with impacts on the environment. Post-combustion capture from power plants entails emissions of pollutants, solvents and its degradation by-products to the atmosphere, emissions to water and generation of solid waste (e.g. Reynolds et al., 2012). During the further steps of the CCS chain, CO 2 release during transport in pipelines as well as the escape of injected CO 2 from the storage location to the atmosphere or groundwater pose risks to the environment (Koorneef et al., 2012).Modelling atmospheric oxidation of 2-aminoethanol (MEA) emitted from post-combustion capture using WRF--Chem AbstractCarbon capture and storage (CCS) is a technological solution that can reduce the amount of carbon dioxide (CO 2 ) emissions from the use of fossil fuel in power plants and other industries. A leading method today is amine based post-combustion capture, in which 2-aminoethanol (MEA) is one of the most studied absorption solvents. In this process, amines are released to the atmosphere through evaporation and entrainment from the CO 2 absorber column. Modelling is a key instrument for simulating the atmospheric dispersion and chemical transformation of MEA, and for projections of ground-level air concentrations and deposition rates. In this study, the Weather Research and Forecasting model inline coupled with chemistry, WRF--Chem, was applied to quantify the impact of using a comprehensive MEA photo-oxidation sequence compared to using a simplified MEA scheme. Main discrepancies were found for iminoethanol (roughly doubled in the detailed scheme) and 2-nitro aminoethanol, short MEA-nitramine (reduced by factor of two in the detailed scheme). The study indicates that MEA emissions from a full-scale capture plant can modify regional background levels of isocyanic acid. Predicted atmospheric concentrations of isocyanic acid were however below the limit value of 1 ppbv for ambient exposure. The dependence of the formation of hazardous compounds in the OH-initiated oxidation of MEA on ambient levels level of nitrogen oxides (NO x ) was studied in a scenario without NO x emissions from a refinery area in the vicinity of the capture plant. Hourly MEAnitramine peak concentrations higher than 40 pg m − 3 did only occur when NO x mixing ratios were above 2 ppbv. Therefore, the spatial variability and temporal variability of levels of OH and NO x need to be taken into account in the health risk assessment. The health risk due to direct emissions of nitrosamines and nitramines from full-scale CO 2 capture should be i...

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Modelling surface ozone during the 2003 heat-wave in the UK

Cited by 181 publications

References 40 publications

Air quality simulations for London using a coupled regional-to-local modelling system

Air quality simulations for London using a coupled regional-to-local modelling system

Tropospheric ozone and its precursors from the urban to the global scale from air quality to short-lived climate forcer

Modelling atmospheric oxidation of 2-aminoethanol (MEA) emitted from post-combustion capture using WRF–Chem

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