Low-emission vehicle adoption in a UK local authority fleet:economic barriers and air quality benefits

Local air quality was one of the main stimulants for low carbon vehicle development during the 1990s. Issues of national fuel security and global air quality (climate change) have added pressure for their development, stimulating schemes to facilitate their deployment in the UK. In this case study, Coventry City Council aimed to adopt an in-house fleet of electric and hybrid-electric vehicles to replace business mileage paid for in employee's private vehicles. This study made comparisons between the proposed vehicle technologies, in terms of costs and air quality, over projected scenarios of typical use. The study found that under 2009 conditions, the electric and hybrid fleet could not compete on cost with the current business model because of untested assumptions, but certain emissions were significantly reduced >50%. Climate change gas emissions were most drastically reduced where electric vehicles were adopted because the electricity supply was generated by renewable energy sources. The study identified the key cost barriers and benefits to adoption of low-emission vehicles in current conditions in the Coventry fleet. Low-emission vehicles achieved significant air pollution-associated health cost and atmospheric emission reductions per vehicle, and widespread adoption in cities could deliver significant change. © The Author 2011. Published by Oxford University Press. All rights reserved.

The challenge of real-time automatic mapping for environmental monitoring network management

The automatic interpolation of environmental monitoring network data such as air quality or radiation levels in real-time setting poses a number of practical and theoretical questions. Among the problems found are (i) dealing and communicating uncertainty of predictions, (ii) automatic (hyper)parameter estimation, (iii) monitoring network heterogeneity, (iv) dealing with outlying extremes, and (v) quality control. In this paper we discuss these issues, in light of the spatial interpolation comparison exercise held in 2004.

Automatic processing, quality assurance and serving of real-time weather data over lightweight protocols

Recent advances in technology have produced a significant increase in the availability of free sensor data over the Internet. With affordable weather monitoring stations now available to individual meteorology enthusiasts a reservoir of real time data such as temperature, rainfall and wind speed can now be obtained for most of the United States and Europe. Despite the abundance of available data, obtaining useable information about the weather in your local neighbourhood requires complex processing that poses several challenges. This paper discusses a collection of technologies and applications that harvest, refine and process this data, culminating in information that has been tailored toward the user. In this case we are particularly interested in allowing a user to make direct queries about the weather at any location, even when this is not directly instrumented, using interpolation methods. We also consider how the uncertainty that the interpolation introduces can then be communicated to the user of the system, using UncertML, a developing standard for uncertainty representation.

Automatic processing, quality assurance and serving of real-time weather data

Recent advances in technology have produced a significant increase in the availability of free sensor data over the Internet. With affordable weather monitoring stations now available to individual meteorology enthusiasts a reservoir of real time data such as temperature, rainfall and wind speed can now be obtained for most of the United States and Europe. Despite the abundance of available data, obtaining useable information about the weather in your local neighbourhood requires complex processing that poses several challenges. This paper discusses a collection of technologies and applications that harvest, refine and process this data, culminating in information that has been tailored toward the user. In this case we are particularly interested in allowing a user to make direct queries about the weather at any location, even when this is not directly instrumented, using interpolation methods. We also consider how the uncertainty that the interpolation introduces can then be communicated to the user of the system, using UncertML, a developing standard for uncertainty representation.