Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra
Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra
Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra
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Chapter 5<br />
Modell<strong>in</strong>g <strong>PM2.5</strong> and the future<br />
5.1 Introduction<br />
1. This chapter discusses modell<strong>in</strong>g of <strong>PM2.5</strong> <strong>in</strong> the UK, cover<strong>in</strong>g what models can<br />
do and their limitations, the different model scales considered, how different<br />
components of <strong>PM2.5</strong> are modelled, how models are evaluated and what models<br />
can tell us about future <strong>PM2.5</strong> trends. A number of models are used <strong>in</strong> the UK<br />
which may differ <strong>in</strong> basic methodology, model doma<strong>in</strong> size, <strong>in</strong>puts and output<br />
(i.e. level of chemical speciation, averag<strong>in</strong>g times and spatial resolution). A nonexhaustive<br />
survey of the approaches used to model <strong>PM2.5</strong> <strong>in</strong> the UK is presented<br />
<strong>in</strong> Table 5.1. A description of these models and some examples of how they<br />
have been used is given <strong>in</strong> Annex A2. Outputs from these models are used <strong>in</strong><br />
the discussions throughout this chapter.<br />
2. An important application of models is the synthesis of data from emission<br />
<strong>in</strong>ventories and observations. However, such modell<strong>in</strong>g of <strong>PM2.5</strong> is challeng<strong>in</strong>g<br />
because of uncerta<strong>in</strong>ties <strong>in</strong> the measurement data (Chapter 2), limited trends<br />
data and uncerta<strong>in</strong>ties <strong>in</strong> the different <strong>particulate</strong> <strong>matter</strong> (PM) components<br />
(Chapter 3), coupled with uncerta<strong>in</strong>ties <strong>in</strong> the emission data and their<br />
projections (Chapter 4).<br />
5.2 What is modell<strong>in</strong>g? What can models do?<br />
Modell<strong>in</strong>g <strong>PM2.5</strong> and the future<br />
3. Models for predict<strong>in</strong>g concentrations of <strong>PM2.5</strong> have a number of important<br />
roles, some of which are complementary to measurement. These roles <strong>in</strong>clude<br />
assess<strong>in</strong>g concentrations at locations without monitors and answer<strong>in</strong>g questions<br />
such as how will PM levels change <strong>in</strong> the future, what are the most important<br />
emission sources to control to reach acceptable air <strong>quality</strong> and what balance<br />
should be struck between policy actions with<strong>in</strong> the UK and abroad. The models<br />
encapsulate our current scientific understand<strong>in</strong>g of the different physical and<br />
chemical processes which determ<strong>in</strong>e the generation, transport and fate of small<br />
particles <strong>in</strong> the atmosphere and therefore help understand how these different<br />
processes <strong>in</strong>teract and which of them are most important <strong>in</strong> different situations.<br />
4. <strong>PM2.5</strong> concentrations at a particular location are determ<strong>in</strong>ed as a<br />
superimposition of the processes tak<strong>in</strong>g place at a large range of spatial<br />
scales from cont<strong>in</strong>ental (e.g. long-range transport) to regional (e.g. secondary<br />
<strong>particulate</strong> production), as well as urban and local scales (close to sources of<br />
primary emissions). Because of this diversity of spatial ranges no s<strong>in</strong>gle model<br />
currently represents the full range of scales, and a hierarchy of models is used<br />
for predictions of <strong>PM2.5</strong> <strong>in</strong> the UK. These are typically regional (e.g. Europeanscale),<br />
national (UK-scale) or local (e.g. urban-scale) models. These models<br />
all have particular strengths and weaknesses and are suitable for different<br />
applications.<br />
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