An Integrated Study of AIR Pollution PROcesses in Beijing (AIRPRO)

Lead Research Organisation: University of Reading
Department Name: Meteorology

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Planned Impact

Air pollution is a high profile and fully globalised phenomena with a complex web of interested parties, influencers and decision-makers and academic researcher hold a key role as highly credible influencers. The public profile of air pollution is currently very high, both in China and the UK, and this provides opportunities for potential engagement with the public on the underlying science, and also potentially with a range of other organisations, for example NGOs, for which air pollution may be one of many environmental issues of interest. We identify that as a key influencer in the field, a key focus of efforts for impact should be through engagement with decision makers, accepting that there is rarely a direct route between a new science finding and an immediate change in public policy. The timescales are long, and the evidence typically accumulative, nonetheless the PIs have a track record of successful engagement in the UK and at a European level.

This pathway to impact plan relates specifically to the UK participants in the AIRPRO consortium and we are realistic about the extent to which UK universities can expect to engage with overseas decision-makers and directly influence Chinese Government policy. In this particular case our role as an influencer and by extension our route to impact must naturally must flow via our Chinese collaborators.

We identify three specific key impact areas for AIRPRO:
[1] Public understanding of the science and impacts of urban air pollution
[2] Supporting Chinese collaborators in their role as influencers of policy and practice in Beijing and China
[3] Translating AIRPRO science to megacities in a development context

[1] Many in the consortium are active in the public engagement arena, with media appearances, high profile science events as well as school visits and production of outreach materials. This work is ongoing and enduring and we identify that the most effective role for AIRPRO is to provide new basic materials for these existing bottom up and PI- led initiates. This will be a pooled effort, with the best in new visual aids, photographs, graphics, videos, images and model animations shared on the project website and via social media mechanisms.

[2] WP7 provides a ready-made route to impact via the development and improvement of models such as NAQPMS and NICAM-Chem used in China for air pollution prediction. These leading edge models are a central mechanism by which latest science understanding is translated to operational agencies and to decision makers on policy. WP7 can therefore be thought of as being a fundamental part of the pathway to impact for the project. We have assembled a large team of leading investigators to support its delivery and this should be viewed as a substantial investment in the pathway to impact. Our Chinese collaborators provide the next steps in delivery of impact through the application of these models in their research programmes and in their advice to Government. We will also work with our Chinese partners in their engagement with local ministries and agency, through the creation of effective science summaries for specialists and targeted presentations in China for policy-makers.

[3] Many of the underlying causes of air pollution in Beijing can be found in other developing cities, and much of the science and capability developed may have potential for translation to other locations. We will specifically target overseas development agencies such as DfID and key aid and policy organisations to highlight the state of the science and how this may be used to help countries identify the most effective areas for intervention. We identify some major impact opportunities that may be developed through raising awareness of practical public health improvements afforded by engagement with air pollution issues, and strong synergies with Newton Fund objectives.

Publications

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Squires F (2020) Measurements of traffic-dominated pollutant emissions in a Chinese megacity in Atmospheric Chemistry and Physics

 
Description 1) Improved ability to use ALC (automatic lidar and ceilometers) to determine MLH (mixed layer height)
(2) Evaluation of MLH variability in Beijing
(3) Consideration of the implications of different metrics for characterising the atmospheric boundary layer (ABL) e.g. compared MLH with air temperature from AMDAR (airplane profiles) and doppler Lidar mixing height.
(4) meteorological influence on air quality e.g. influence of roughness parameters on the wind profile, influence of roughness parameters on source areas, influence of MLH on air quality
(5) improved understanding of the role of tall building on flow
(6) Important differences between mixed layer height and mixing height
Exploitation Route (1) Strong need to improve the meteorological knowledge with atmospheric chemistry/ air quality observations.
(2) need to enhance numerical modelling
(3) improving parameterisations and understanding of the role of tall buildings
Sectors Chemicals,Construction,Energy,Environment,Healthcare,Transport

URL http://www.micromet.reading.ac.uk
 
Description Improved processing of ceilometer (ALC) data by meteorological services (EU and China). Modified firmware by Vaisala (manufacturer). Software for mixed layer height being used across Europe in E-Profile network - wide range of Met services and other agencies Being used to help improve the urban canopy model development for weather forecasting (Met Office)
First Year Of Impact 2016
Sector Environment,Government, Democracy and Justice,Manufacturing, including Industrial Biotechology,Transport
Impact Types Societal,Economic

 
Title Analysis of ALC attenuated aerosol backscatter profiles 
Description Method to analyse raw (Vaisala) ALC profiles 
Type Of Material Improvements to research infrastructure 
Year Produced 2016 
Provided To Others? Yes  
Impact 1) Used by others across Europe and in China 2) Vaisala (manufacturer) modified firmware 3) forms basis for later algorithm developement 
 
Description SIMS 
Organisation Chinese Meteorological Administration
Country China 
Sector Public 
PI Contribution Co-Authorship of papers Extensive discussions of data analyses
Collaborator Contribution Data Model evaluation and application
Impact Ao et al. (2016) International J. Climatology Tan et al. (2015) Ao et al. (2016) JAMC Peng et al. (2017)
Start Year 2013
 
Title CABAM 
Description For processing Vaisala ALC CL31 data to obtain boundary layer height (and other variables) 
Type Of Technology Software 
Year Produced 2018 
Impact Being used in other parts of Europe