Air quality mapping: Combining models, in situ measurements and remote sensing

Nicholas S. Hamm; Tiblets Z. Demwez; Alfred Stein; Richard Boucherie

Air quality mapping: Combining models, in situ measurements and remote sensing

Nicholas S. Hamm, Tiblets Z. Demwez, Alfred Stein, Richard Boucherie

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents a system for modelling traffic flow, estimating vehicle emissions and validating them against remotely sensed and in situ data. The results showed that the queuing model was satisfactory and that the vehicle emissions model was internally consistent. The validation results were inconclusive and point to future important areas of research. Notably, it is necessary to develop a system to predict concentrations (rather than emissions) in time and space.

Original language	English
Pages	381-384
Number of pages	4
Publication status	Published - 2010
Externally published	Yes
Event	9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010 - Leicester, United Kingdom Duration: 20 Jul 2010 → 23 Jul 2010

Conference

Conference	9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010
Country/Territory	United Kingdom
City	Leicester
Period	20/07/10 → 23/07/10

Keywords

Emissions
In situ data
PM10
Queuing model
Remote sensing

ASJC Scopus subject areas

General Environmental Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@conference{dfa3b3741441486db7bdf6c4be92d6a5,

title = "Air quality mapping: Combining models, in situ measurements and remote sensing",

abstract = "This paper presents a system for modelling traffic flow, estimating vehicle emissions and validating them against remotely sensed and in situ data. The results showed that the queuing model was satisfactory and that the vehicle emissions model was internally consistent. The validation results were inconclusive and point to future important areas of research. Notably, it is necessary to develop a system to predict concentrations (rather than emissions) in time and space.",

keywords = "Emissions, In situ data, PM10, Queuing model, Remote sensing",

author = "Hamm, {Nicholas S.} and Demwez, {Tiblets Z.} and Alfred Stein and Richard Boucherie",

note = "Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010 ; Conference date: 20-07-2010 Through 23-07-2010",

year = "2010",

language = "English",

pages = "381--384",

}

Air quality mapping: Combining models, in situ measurements and remote sensing. / Hamm, Nicholas S.; Demwez, Tiblets Z.; Stein, Alfred et al.
2010. 381-384 Paper presented at 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Leicester, United Kingdom.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Air quality mapping

T2 - 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010

AU - Hamm, Nicholas S.

AU - Demwez, Tiblets Z.

AU - Stein, Alfred

AU - Boucherie, Richard

PY - 2010

Y1 - 2010

N2 - This paper presents a system for modelling traffic flow, estimating vehicle emissions and validating them against remotely sensed and in situ data. The results showed that the queuing model was satisfactory and that the vehicle emissions model was internally consistent. The validation results were inconclusive and point to future important areas of research. Notably, it is necessary to develop a system to predict concentrations (rather than emissions) in time and space.

AB - This paper presents a system for modelling traffic flow, estimating vehicle emissions and validating them against remotely sensed and in situ data. The results showed that the queuing model was satisfactory and that the vehicle emissions model was internally consistent. The validation results were inconclusive and point to future important areas of research. Notably, it is necessary to develop a system to predict concentrations (rather than emissions) in time and space.

KW - Emissions

KW - In situ data

KW - PM10

KW - Queuing model

KW - Remote sensing

UR - http://www.scopus.com/inward/record.url?scp=84975746423&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:84975746423

SP - 381

EP - 384

Y2 - 20 July 2010 through 23 July 2010

ER -

Air quality mapping: Combining models, in situ measurements and remote sensing

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Other files and links

Fingerprint

Cite this