Procedures for the estimation of regional scale atmospheric emissions—An example from the North West Region of England

Local Air Quality Management policy and practice in the UK: The case for greater Public Health integration and engagement

“…Whilst this has been recognised (Laxen et al, 2013;In-house Policy Consultants, 2010;Welsh Government, 2009;Defra, 2007;Longhurst et al, 2006;Beattie et al, 2001), little attempt has been made to clarify or specify Public Health's role in, and expected contribution to, the regime. This is surprising given that Lindley et al (1996) noted Public Health opportunities and began to specify this role prior to the formal establishment of LAQM. This is a significant failing that has likely contributed to the development of a disconnect between the two agendas and hindered the evolution of a Public Health-focused LAQM model.…”

Allocating anthropogenic pollutant emissions over space: application to ozone pollution management

“…Thus, successful application of the 'bottom-up' approach hinges on the availability of local data sets. The 'top-down' approach is easier to perform and less expensive with respect to time and resources; however, the 'bottom-up' approach provides a better representation of emissions estimates for a particular area (Lindley et al, 1996). Widespread application of the 'bottom-up' approach should, in turn, translate into an estimated emissions landscape having a spatial complexity approaching that of 'reality.'…”

Spatial GHG inventory at the regional level: accounting for uncertainty

“…(1) identifying appropriate land use planning strategies; (2) assessing sources that are likely to pose the greatest air quality problems and identifying suitable emission control targets; (3) providing a useful guide to the potential locations of further air quality monitoring sites (Lindley et al 1996); (4) in various climate change models where spatially distributed (gridded) emission data can be compared with top-down inventories of atmospheric emissions, to determine the relevance of activity data used (for more information see Winiwarter et al 2003;Horabik and Nahorski 2010). Spatial disaggregation of inventory data can also be treated as a way of improving data quality, and can thus be used in uncertainty analysis to provide guidelines for the most cost-effective ways of reducing uncertainty.…”

“…Therefore, when we talk about emissions from the point of view of a single country, it is important to have knowledge about the spatial distribution of inventory data and their structure. Analysis of spatial distribution of atmospheric emissions has been performed in several studies using different approaches (for example, see Wang et al 2005;Lindley et al 1996). Spatial emission data can be useful for:…”