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

N.S. Hamm, Tiblets Z. Demwez, A. Stein, R.J. Boucherie

Research output: Contribution to conferencePaperAcademicpeer-review

1 Downloads (Pure)

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 languageEnglish
Pages381-384
Number of pages4
Publication statusPublished - 1 Jan 2010
Event9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010 - Leicester, United Kingdom
Duration: 20 Jul 201023 Jul 2010
Conference number: 9

Conference

Conference9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010
Abbreviated titleAccuracy
CountryUnited Kingdom
CityLeicester
Period20/07/1023/07/10

Fingerprint

traffic emission
in situ measurement
air quality
remote sensing
modeling
traffic
in situ

Keywords

  • Emissions
  • In situ data
  • PM10
  • Queuing model
  • Remote sensing

Cite this

Hamm, N. S., Demwez, T. Z., Stein, A., & Boucherie, R. J. (2010). Air quality mapping: Combining models, in situ measurements and remote sensing. 381-384. Paper presented at 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Leicester, United Kingdom.
Hamm, N.S. ; Demwez, Tiblets Z. ; Stein, A. ; Boucherie, R.J. / Air quality mapping : Combining models, in situ measurements and remote sensing. Paper presented at 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Leicester, United Kingdom.4 p.
@conference{985e6a503302497da5244ff361696c28,
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 = "N.S. Hamm and Demwez, {Tiblets Z.} and A. Stein and R.J. Boucherie",
year = "2010",
month = "1",
day = "1",
language = "English",
pages = "381--384",
note = "9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Accuracy ; Conference date: 20-07-2010 Through 23-07-2010",

}

Hamm, NS, Demwez, TZ, Stein, A & Boucherie, RJ 2010, 'Air quality mapping: Combining models, in situ measurements and remote sensing' Paper presented at 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Leicester, United Kingdom, 20/07/10 - 23/07/10, pp. 381-384.

Air quality mapping : Combining models, in situ measurements and remote sensing. / Hamm, N.S.; Demwez, Tiblets Z.; Stein, A.; Boucherie, R.J.

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 conferencePaperAcademicpeer-review

TY - CONF

T1 - Air quality mapping

T2 - Combining models, in situ measurements and remote sensing

AU - Hamm, N.S.

AU - Demwez, Tiblets Z.

AU - Stein, A.

AU - Boucherie, R.J.

PY - 2010/1/1

Y1 - 2010/1/1

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 - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2010/conf/hamm_air.pdf

M3 - Paper

SP - 381

EP - 384

ER -

Hamm NS, Demwez TZ, Stein A, Boucherie RJ. Air quality mapping: Combining models, in situ measurements and remote sensing. 2010. Paper presented at 9th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Accuracy 2010, Leicester, United Kingdom.