Serving air pollution data at doorstep level T. Becker, M. Fuglsang, … · 2013-11-13 · 1 / 9 N....

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Luften på din vej Serving air pollution data at doorstep level T. Becker, M. Fuglsang, S. Solvang Jensen and M. Ketzel Department of Environmental Science, Aarhus University November 12, 2013 1/9 N

Transcript of Serving air pollution data at doorstep level T. Becker, M. Fuglsang, … · 2013-11-13 · 1 / 9 N....

Page 1: Serving air pollution data at doorstep level T. Becker, M. Fuglsang, … · 2013-11-13 · 1 / 9 N. Outline 1 Introduction 2 Background 3 GIS work 4 Prospect 2 / 9 N. Outline 1 Introduction

Luften på din vejServing air pollution data at doorstep level

T. Becker, M. Fuglsang, S. Solvang Jensen and M. Ketzel

Department of Environmental Science, Aarhus University

November 12, 2013

1 / 9N

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Outline

1 Introduction

2 Background

3 GIS work

4 Prospect

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Page 3: Serving air pollution data at doorstep level T. Becker, M. Fuglsang, … · 2013-11-13 · 1 / 9 N. Outline 1 Introduction 2 Background 3 GIS work 4 Prospect 2 / 9 N. Outline 1 Introduction

Outline

1 Introduction

2 Background

3 GIS work

4 Prospect

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Outline

1 Introduction

2 Background

3 GIS work

4 Prospect

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Outline

1 Introduction

2 Background

3 GIS work

4 Prospect

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Introduction

Initial Situation

Situation

air pollution at address level used in studies and reports

no easy access for the public to air pollution assessments

Objective

provide information about air pollution at address level forentire Denmark, based on models for background and streetconcentrations

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Introduction

Initial Situation

Situation

air pollution at address level used in studies and reports

no easy access for the public to air pollution assessments

Objective

provide information about air pollution at address level forentire Denmark, based on models for background and streetconcentrations

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Background

Atmospheric Models & input dataEta

DEHM

UBM

AirGIS

OSPM GIS local concentration

UBM

meteorological data fromEta

regional background datafrom DEHM

emission inventories of1 km spatial resolution

hourly temporal resolution

OSPM

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Background

Atmospheric Models & input dataEta

DEHM

UBM

AirGIS

OSPM GIS local concentration

UBM

meteorological data fromEta

regional background datafrom DEHM

emission inventories of1 km spatial resolution

hourly temporal resolution

OSPM

air pollution data from UBM;street configuration andtraffic data from AirGIS

calculation of air pollution instreets at both sides of thestreet

hourly temporal resolution

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Background

AirGIS

input data:

building (polygons)

street network (poly lines)

receptors (points)

requirements on data

building height, year ofconstruction,. . .

traffic load, doubledigitized,. . .

start/end time, exposureheight,. . .

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Background

AirGIS

find closest road piece(center)

start analysing surroundings

construct receptor pointstructure

results in separate files/year

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Background

AirGIS

find closest road piece(center)

start analysing surroundings

construct receptor pointstructure

results in separate files/year

6 / 9N

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Background

AirGIS

find closest road piece(center)

start analysing surroundings

construct receptor pointstructure

results in separate files/year

6 / 9N

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Background

AirGIS

find closest road piece(center)

start analysing surroundings

construct receptor pointstructure

results in separate files/year

6 / 9N

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Background

AirGIS

calculation of building heights

building polygons / DEM (GST)

subtract terrain from surface model

script:

buffering polygonretrieve heightscalculate percentileassign height to polygon

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GIS work

GIS environment

address table will holdapprox. 2.4 M points

with:

street namehouse numbermunicipality nameNO2, PM2.5, and PM10

tables for background conc.of NO2, PM2.5, and PM10

system is extendible in tablesand attributes

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GIS work

GIS environment

address table will holdapprox. 2.4 M points

with:

street namehouse numbermunicipality nameNO2, PM2.5, and PM10

tables for background conc.of NO2, PM2.5, and PM10

system is extendible in tablesand attributes

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Prospect

Further development

WebService potentially served out to:

real-estate companiesDansk Miljøportalcycle copenhagen

national service with routing capabilities:

fastestshortestcleanest

mobile App for Android and iOS

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Prospect

Further development

WebService potentially served out to:

real-estate companiesDansk Miljøportalcycle copenhagen

national service with routing capabilities:

fastestshortestcleanest

mobile App for Android and iOS

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Prospect

Further development

WebService potentially served out to:

real-estate companiesDansk Miljøportalcycle copenhagen

national service with routing capabilities:

fastestshortestcleanest

mobile App for Android and iOS

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