Assessing the performance of air-pollution sources from ambient data

TOWARDS SMARTER AIR-QUALITY ANALYSIS
Thursday 1st October 2009
Institute of Physics, 76 Portland Place, London


On this page, you can view and download PowerPoint presentations from the workshop

Welcome/Introduction: Stephen Loader, NERC DOWNLOAD HERE

The air-quality-analysis community is being supported by NERC under their Knowledge Exchange programme. NERC will therefore welcome participants and explain the processess, aims and value of sharing knowledge between the science base and practitioners.

Drivers, users and approaches for smarter air-quality analysis: Roger Timmis, Environment Agency DOWNLOAD HERE

The reasons for extracting more from monitoring data will be outlined, e.g. for policy, regulatory, operational and planning purposes. An outline will also be given of who will benefit from the extra information, and how. Basic concepts and methods for extracting more information will be introduced.

openair: Open-source tools for insights into air quality: David Carslaw, University of Leeds DOWNLOAD HERE

Innovative techniques and accessible software for mining extra information is essential for widening the uses and users of ambient air-quality data. The "R" software package being developed by the Leeds openair team makes available free, open-source tools to the international air quality community.

AirTrack: Tracking air-quality performance: applications, implications & challenges: Duncan Whyatt, Lancaster University DOWNLOAD HERE

Case studies of varying complexity will be presented. The implications of smarter analysis for the design of monitoring networks will be discussed, as will issues around meteorological data and uncertainty. It will be shown that new analyses are useful for comparisons between models, and between models and observations e.g. to check models "get the right answer for the right reasons".

Emerging technologies for atmospheric monitoring:Ally Lewis, University of York DOWNLOAD HERE

This presentation will highlight some of the capabilities for air quality detection using emergent measurement technologies including sensor detection, microfabricated and miniaturized analytical devices and low cost remote sensing. The opportunity for development of new distributed air quality observation approaches as part of the NERC science strategy will also be discussed.

Last modified: 17/02/2010

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