Title of Example

  Regional/Transboundary PM10 Assessment for Local Authorities in Norfolk

Example

   

Introduction

Under the initial air quality objectives laid out under the UK National Air Quality Strategy in 1997, the target objective for PM10 was 50mg/m3 as the 99th percentile of daily maximum running 24-hour means. This allowed for 4 days every year when the 50mg/m3 concentration could be exceeded (in contrast to the 35 days allowed in the EU limit Value and the, later, loosened UK objective). This put many of the local authorities in East Anglia in danger of breaching the objective, whether they covered urban areas or rural, due to the high contribution of secondary particles in this part of the country associated with its proximity to the European mainland.

Norwich City Council was already funding a PhD studentship to help them take a wider perspective on their work under the UK Local Air Quality Management regime. Part of the work carried out was to help assess the contribution of urban sources of pollution within the boundaries of Norwich in contrast to regional sources, from the rest of Norfolk, the UK and mainland Europe. As all the Las in Norfolk appeared unlikely to achieve the PM10 objective, including the predominantly rural authorities that had little air quality management capacity, the regional grouping of Air Quality Officers raised sufficient funds to undertake a detailed study of particles in the region.

Discussion

The problems caused by transboundary pollution are almost always an issue to more than one local authority by their very nature. It is often more of a problem for heavily populated urban areas which also have a significant quantity of domestically generated pollution in addition to the ‘imported’ element.

In order to properly assess the magnitude of regional scale pollution it is necessary to carry out a detailed study consisting of a mixture of monitoring, modelling and potentially chemical analysis (at least when dealing with particles).

Ideally automatic/continuous monitoring stations need to be identified or set-up both within an urban area and the surrounding rural locations. In conjunction with meteorological data (primarily wind direction) this can be used to identify the differences in concentration between the city centre and upwind and downwind locations. This in itself should identify the difference contributions from the transboundary and domestic contributions. With particles, monitoring data for sulphate and nitrate concentrations can also be very helpful in identifying the secondary particle component which is almost always transboundary due to the length of time that it takes these particles to form.

Modelling can be used in a variety of ways to help identify transboundary components:

Local modelling at a city scale can identify local contributions to total pollution concentrations. However, especially with particles, it is very hard to set-up models to be sure that the model is correctly predicting the local contribution as some idea of what this is is needed in order to tune the model. One potential strategy is to set the model up and verify and adjust it on a non-transboundary pollutant such as nitrogen dioxide, and then simply change the emission inputs to model primary particles. There is a reasonable amount of evidence to show that this is not ideal as the magnitude of the errors in multiple pollutant models frequently vary from pollutant to pollutant.

Regional modelling can be carried out in two different ways. The simplest is to carry out trajectory modeling where the path of air parcels arriving at the city is traced backwards in order to identify the geographical source of the pollutants that they bring with them. When this is correlated with monitoring data it can produce a crude but still useful indication of the variations in pollution levels depending on the source airsheds, and therefore an indication of the magnitude of increase in concentrations when the incoming air comes from polluted areas.

More complex regional-scale modeling can be carried out using Eulerian or Lagrangian models (the latter was used in the Norfolk study). These allow the input of very large emissions inventories – even at a European scale. Then using detailed meteorological information they basically combine a trajectory model with the emissions inputs to calculate how much pollution is being picked up by air parcels as they travel across the region. Some of these models contain chemistry modules which allow them to calculate the formation of secondary pollutants such as ozone, and sulphate and nitrate particles. These models are generally very complex and specialized and may be beyond the general reach of most local authorities, however, as shown by the Norfolk example, this type of work has a large degree of research interest and links can often be made with academic institutions to help examine the problems.

Finally, chemical analysis of particles will help to some extent in separating locally sourced pollution from transboundary. The basic split being that the transboundary component is predominantly secondary particles. However, there is some evidence that there may be a significant element of primary (combustion-related) particles within the transboundary component. In addition to this, ‘coarse’ or natural particles such as wind blown dust can travel significant distances. Saharan dust events have been known to cause pollution episodes in the United Kingdom, and dust from storms in China have recently been found to be crossing the pacific and being measured in the United States.

Recommendation

In dealing with transboundary pollution the initial step has to be to identify the magnitude of the problem so that costs of any research can be weighed against the potential benefits. This is best done by examining monitoring data from as many different types of site within a region as possible, and where pollution patterns at sites follow each other closely, using meteorological information to try and identify whether these are regional pollution episodes or whether it is just regionally similar whether affecting local pollution emissions.

Further Reading

Chatterton, T., 2001, "Regional and Urban Scale Modelling of Particulate Matter: Can PM10 be Managed at a Local Level?", Ph.D. Thesis, School of Environmental Sciences, University of East Anglia http://www.uwe.ac.uk/aqm/research/tc/

Chatterton, T., 2000, "The Relative Contribution of Local and Distant Sources of Particulates to Eastern England", Report on regional-scale modelling of PM10 commissioned by a consortium of district councils in Norfolk.

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Last Updated


 

13th January 2005

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