Integrating Regional and Local Modeling to Create a High-Resolution Air Quality Forecasting System for Hong Kong

Christina M. HOOD; Jenny R. STOCKER; David J. CARRUTHERS; William GRAYSON; Jonathan HANDLEY; Jimmy Chi Hung FUNG; David W. YEUNG

Integrating Regional and Local Modeling to Create a High-Resolution Air Quality Forecasting System for Hong Kong

Christina M. HOOD^*
, Jenny R. STOCKER
, David J. CARRUTHERS
, William GRAYSON
, Jonathan HANDLEY
, Jimmy Chi Hung FUNG
, David W. YEUNG

^*Corresponding author for this work

Division of Environment and Sustainability

Research output: Contribution to conference › Conference Paper

Abstract

The air quality in urban areas shows complex variations in both time and space, due to influences on many scales from regional pollutant transport to individual road emissions and street canyon geometries. Access to street-scale air quality forecasting data allows residents to make informed choices about transport modes and routes in order to minimise their exposure to air pollutants as they travel around the urban area. The only air quality data currently publicly available for Hong Kong is an air quality health index value for each of 16 monitoring stations, based on real-time measurements. The Personalised Real time Air quality Informatics System for Exposure (PRAISE-HK) project aims to develop a mobile app that will provide highresolution forecast pollution data, which will be combined with route planning and personal health alerts.

Original language	English
Publication status	Published - 2017
Event	Unknown Event - Duration: 1 Jan 2017 → 1 Jan 2017

Conference

Conference	Unknown Event
Period	1/01/17 → 1/01/17

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https://hdl.handle.net/1783.1/96229

Cite this

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title = "Integrating Regional and Local Modeling to Create a High-Resolution Air Quality Forecasting System for Hong Kong",

abstract = "The air quality in urban areas shows complex variations in both time and space, due to influences on many scales from regional pollutant transport to individual road emissions and street canyon geometries. Access to street-scale air quality forecasting data allows residents to make informed choices about transport modes and routes in order to minimise their exposure to air pollutants as they travel around the urban area. The only air quality data currently publicly available for Hong Kong is an air quality health index value for each of 16 monitoring stations, based on real-time measurements. The Personalised Real time Air quality Informatics System for Exposure (PRAISE-HK) project aims to develop a mobile app that will provide highresolution forecast pollution data, which will be combined with route planning and personal health alerts.",

author = "HOOD, \{Christina M.\} and STOCKER, \{Jenny R.\} and CARRUTHERS, \{David J.\} and William GRAYSON and Jonathan HANDLEY and FUNG, \{Jimmy Chi Hung\} and YEUNG, \{David W.\}",

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language = "English",

note = "Unknown Event ; Conference date: 01-01-2017 Through 01-01-2017",

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TY - CONF

T1 - Integrating Regional and Local Modeling to Create a High-Resolution Air Quality Forecasting System for Hong Kong

AU - HOOD, Christina M.

AU - STOCKER, Jenny R.

AU - CARRUTHERS, David J.

AU - GRAYSON, William

AU - HANDLEY, Jonathan

AU - FUNG, Jimmy Chi Hung

AU - YEUNG, David W.

PY - 2017

Y1 - 2017

N2 - The air quality in urban areas shows complex variations in both time and space, due to influences on many scales from regional pollutant transport to individual road emissions and street canyon geometries. Access to street-scale air quality forecasting data allows residents to make informed choices about transport modes and routes in order to minimise their exposure to air pollutants as they travel around the urban area. The only air quality data currently publicly available for Hong Kong is an air quality health index value for each of 16 monitoring stations, based on real-time measurements. The Personalised Real time Air quality Informatics System for Exposure (PRAISE-HK) project aims to develop a mobile app that will provide highresolution forecast pollution data, which will be combined with route planning and personal health alerts.

AB - The air quality in urban areas shows complex variations in both time and space, due to influences on many scales from regional pollutant transport to individual road emissions and street canyon geometries. Access to street-scale air quality forecasting data allows residents to make informed choices about transport modes and routes in order to minimise their exposure to air pollutants as they travel around the urban area. The only air quality data currently publicly available for Hong Kong is an air quality health index value for each of 16 monitoring stations, based on real-time measurements. The Personalised Real time Air quality Informatics System for Exposure (PRAISE-HK) project aims to develop a mobile app that will provide highresolution forecast pollution data, which will be combined with route planning and personal health alerts.

M3 - Conference Paper

T2 - Unknown Event

Y2 - 1 January 2017 through 1 January 2017

ER -

Integrating Regional and Local Modeling to Create a High-Resolution Air Quality Forecasting System for Hong Kong

Abstract

Conference

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