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All Outputs (5)

A social and spatial analysis of emissions from private vehicle use in Great Britain (2016)
Journal Article
Chatterton, T., & Barnes, J. (2016). A social and spatial analysis of emissions from private vehicle use in Great Britain. WIT Transactions on Ecology and the Environment, 207, 99-110. https://doi.org/10.2495/AIR160101

This paper will describe a new approach to source apportionment of transport emissions that moves away from traditional approaches which have allocated emissions to point of use, or by journey purpose. Instead, emissions will be attributed spatially... Read More about A social and spatial analysis of emissions from private vehicle use in Great Britain.

A critical review of the robustness of the UK government’s air quality plan and expected compliance dates (2016)
Journal Article
Williams, B., Barnes, J., Chatterton, T., Hayes, E. T., & Longhurst, J. (2016). A critical review of the robustness of the UK government’s air quality plan and expected compliance dates. WIT Transactions on Ecology and the Environment, 207, 1-9. https://doi.org/10.2495/AIR160011

Globally, poor air quality is the most significant environmental health concern. Across Europe, 400,000 deaths were attributed to air pollution in 2012, whilst in the UK over 50,000 deaths per year are due to a combination of gaseous and particulate... Read More about A critical review of the robustness of the UK government’s air quality plan and expected compliance dates.

A GIS-based assessment of the suitability of SCIAMACHY satellite sensor measurements for estimating reliable CO concentrations in a low-latitude climate (2015)
Journal Article
Fagbeja, M. A., Hill, J. L., Chatterton, T. J., & Longhurst, J. W. (2015). A GIS-based assessment of the suitability of SCIAMACHY satellite sensor measurements for estimating reliable CO concentrations in a low-latitude climate. Environmental Monitoring and Assessment, 187(2), https://doi.org/10.1007/s10661-014-4227-2

© 2015, Springer International Publishing Switzerland. An assessment of the reliability of the Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY) satellite sensor measurements to interpolate tropospheric concentrations o... Read More about A GIS-based assessment of the suitability of SCIAMACHY satellite sensor measurements for estimating reliable CO concentrations in a low-latitude climate.

Extensive evaluation of neural network models for the prediction of NO 2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki (2003)
Journal Article
Kukkonen, J., Partanen, L., Karppinen, A., Ruuskanen, J., Junninen, H., Kolehmainen, M., …Cawley, G. (2003). Extensive evaluation of neural network models for the prediction of NO 2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki. Atmospheric Environment, 37(32), 4539-4550. https://doi.org/10.1016/S1352-2310%2803%2900583-1

Five neural network (NN) models, a linear statistical model and a deterministic modelling system (DET) were evaluated for the prediction of urban NO2 and PM10 concentrations. The model evaluation work considered the sequential hourly concentration ti... Read More about Extensive evaluation of neural network models for the prediction of NO 2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki.

A rigorous inter-comparison of ground-level ozone predictions (2003)
Journal Article
Schlink, U., Dorling, S., Pelikan, E., Nunnari, G., Cawley, G., Junninen, H., …Doyle, M. (2003). A rigorous inter-comparison of ground-level ozone predictions. Atmospheric Environment, 37(23), 3237-3253. https://doi.org/10.1016/S1352-2310%2803%2900330-3

Novel statistical approaches to prediction have recently been shown to perform well in several scientific fields but have not, until now, been comprehensively evaluated for predicting air pollution. In this paper we report on a model inter-comparison... Read More about A rigorous inter-comparison of ground-level ozone predictions.