"UK" Green Infrastructure for roadside air quality mitigation: unblocking a UK policy impasse
"UK" Green Infrastructure for roadside air quality mitigation: unblocking a UK policy impasse
批准号:
NE/S013814/1
负责人:
A. MacKenzie
金额:
$15.38万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
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英文摘要
This Innovation project for impact will bring together policy and practice leaders concerned with how planning decisions affect urban air quality. The overarching aim is to make a software platform for the quantitative assessment of Green Infrastructure as an aid to the improvement of roadside air quality. We call this platform GI4RAQ. Our particular objectives can be summarised as: 1. to provide a consolidated, open-source, computer modelling code for roadside air pollution in urban settings based on our existing research code.2. to co-design of a fit-for-purpose, simple, and attractive GI4RAQ platform for urban practitioners as a front-end to the consolidated model code.3. to demonstrate that the GI4RAQ platform can unlock a critical impasse in current planning policy and so enable capacity-building on the regulatory and consultancy sides of the planning process. We will work with major influencers in the private and public sectors, which offers a rapid and cost-effective route to meaningful impact. Specifically, we will work with Transport for London and the Greater London Authority to influence the next issue of the London Plan. To be released towards the end of 2019, a proposed new policy requiring larger-scale developments to be 'Air Quality Positive' may be implemented, but only if tools exist to evidence such a result at planning. We will work with the UK's leading air quality consultants, Cambridge Environmental Research Consultants (CERC) and Ricardo Energy & Environment, to ensure that the GI4RAQ platform is fit for operational use and that it can be used alongside current Air Quality tools. London's 33 Local Authorities must ensure their Local Plans conform to the London Plan, and Authorities across the UK look to the London Plan in preparing their own Local Plans, both of which provide cascading impact for our proposed work. The project is designed to dovetail with 'WM Air', a large multi-partner programme focused on West Midlands' air quality led by the University of Birmingham. The GI4RAQ Principal Investigator leads the work stream on green infrastructure in WM Air alongside GI4RAQ partner Birmingham City Council, thereby ensuring rapid knowledge transfer between research and practice in London and Birmingham.The project will establish a robust approach to 'GI4RAQ' interventions to deliver reliable improvements in roadside air quality, based on quantitative computer modelling but avoiding the time and expense of full fluid flow simulations. The approach develops directly out of a NERC Innovation Pathfinder, which established that a strong demand for quantitative GI4RAQ exists, but also identified the policy impasse, and a placement of the researcher co-Investigator in Transport for London.
期刊论文(10)
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科研奖励(0)
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DOI:
10.1016/j.envpol.2022.120347
发表时间:
2022-10
期刊:
Environmental pollution
影响因子:
8.9
作者:
[Yuqing Dai;Xiaoming Cai;Jian Zhong;A. Mazzeo;A. MacKenzie]
通讯作者:
Yuqing Dai;Xiaoming Cai;Jian Zhong;A. Mazzeo;A. MacKenzie
Feasibility Study Report, 'Eastville Junction: A Green Place - A Cool Place'
可行性研究报告,“伊斯特维尔枢纽:一个绿色的地方——一个凉爽的地方”
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Churchman Thornhill Finch]
通讯作者:
Churchman Thornhill Finch
Introducing the Green Infrastructure for Roadside Air Quality (GI4RAQ) Platform: Estimating Site-Specific Changes in the Dispersion of Vehicular Pollution Close to Source
路边空气质量绿色基础设施 (GI4RAQ) 平台简介:估算靠近源头的车辆污染扩散的特定地点变化
DOI:
10.3390/f12060769
发表时间:
2021
期刊:
Forests
影响因子:
2.9
作者:
[Pearce H]
通讯作者:
Pearce H
Green Infrastructure for Clean Air and One Health, in Policy Solutions to the Clean Air Challenge
清洁空气挑战的政策解决方案中的绿色基础设施,促进清洁空气和同一个健康
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Levine JG]
通讯作者:
Levine JG
Traffic-induced multicomponent ultrafine particle microphysics in the WRF v3.6.1 large eddy simulation model: General behaviour from idealised scenarios at the neighbourhood-scale
WRF v3.6.1 大涡模拟模型中交通引起的多组分超细颗粒微物理:邻里尺度理想化场景的一般行为
DOI:
10.1016/j.atmosenv.2019.117213
发表时间:
2020
期刊:
Atmospheric Environment
影响因子:
5
作者:
[Zhong J]
通讯作者:
Zhong J
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