| 项目编号: | NE/M021971/1
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| 项目名称: | High Resolution Forecasting of Air Quality and Exposure for Healthier Cities (HiRAE) |
| 作者: | Ranjeet Sokhi
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| 承担单位: | University of Hertfordshire
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| 批准年: | 2014
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| 开始日期: | 2015-01-09
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| 结束日期: | 2016-30-11
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| 资助金额: | GBP83722
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| 资助来源: | UK-NERC
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| 项目类别: | Research Grant
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| 国家: | UK
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| 语种: | 英语
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| 特色学科分类: | Atmospheric phys. & chemistry 
; (20%)
; Climate & Climate Change 
; (10%)
; Environmental planning 
; (20%)
; Pollution, waste & resources 
; (50%)
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| 英文摘要: | The University of Hertfordshire and the National Centre for Atmospheric Science currently operate an Air Quality forecasting system. Like a weather forecast, the system uses a computer model to make predictions of the concentrations of air pollutants such as Ozone, Particulate Matter and Nitrogen Oxides. The forecast runs for the whole of the UK and predicts three days into the future and it produces maps of each pollutant at a spatial resolution of 10km.
Alongside the Air Quality Forecasting capability the University of Hertfordshire has also developed models and expertise in modelling air quality in urban areas. Air Quality can be highly influenced by the regional and national scale effects predicted by the Air Quality forecast but it is also influenced by very local effects such as emissions from traffic on a particular road, the local weather and even the local buildings and landscape. For this reason we have a separate system for urban areas which operates at a very high resolution. The urban system uses data that describes the pollution from individual roads for example. This urban model also has data to describe where people live and work so we can calculate pollutant concentrations in different parts of a city and at different times of day, then use that information to estimate the 'exposure' to pollution faced by the local population where they live and work. Because 'exposure' combines both pollutant levels and the time people spend in polluted areas, it is allows us to understand the likely health impact air pollution is having on the population.
In this project we will forecast air quality and exposure for two urban areas, Greater Manchester and Bristol. The unique innovations in the project are to bring air quality and exposure forecasts down to the street and city scales, whilst making all the data available to the local authorities for the first time.
To do this we will continue to operate the UK Air Quality Forecast and feed its predictions into the urban scale model. This will allow us to create pollution maps, a three day forecast and exposure estimates at a local scale for Bristol and Greater Manchester. The data will allow the local authorities to study air quality trends and statistics and find low pollution routes for cyclists and pedestrians. They will be able to use the data to make better planning decisions, improve education schemes and optimise pollution reduction measures to have the greatest impact. The delivery of exposure data alongside pollution concentrations is especially important for maximising the effectiveness of strategies to improve health.
We will make all of the model data available to the local authorities by creating an online data dashboard. This will allow the local authorities access to all the model data via an easy to use graphical user interface. By creating the data dashboard we will remove a barrier currently preventing wider exploitation of air quality model data and unlock the potential benefits of modeled air quality data to local authorities and the general public.
This project will directly address the needs of Local Authorities to meet their statutory responsibility to monitor and manage Air Quality. The responsibility for meeting EU air quality limit values is devolved to them. Our Local Authority partners, Bristol and Greater Manchester, attribute the premature death of approximately 200 and 1300 people annually to Air Quality respectively. This project will help the Bristol and Greater Manchester authorities by underpinning and informing their strategies for improving health and reducing air pollution with new, unique datasets. This data will allow the Local Authorities to optimally implement new and exiting initiatives such as promoting cycling, walking and public transport, managing goods vehicle, traffic management, low emission zones, planning guidance and education and informing the public of Air Quality health risks. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/101323
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| Appears in Collections: | 科学计划与规划
气候变化与战略
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作者单位: | University of Hertfordshire
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| Recommended Citation: | |
Ranjeet Sokhi. High Resolution Forecasting of Air Quality and Exposure for Healthier Cities (HiRAE). 2014-01-01.
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