Full text
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview |
Quaassdorff, Christina Violetta, Borge García, Rafael ORCID: https://orcid.org/0000-0003-3390-6709, Paz Martín, David de la, Pérez Rodríguez, Javier
ORCID: https://orcid.org/0000-0002-3896-621X, Andrés Almeida, Juan Manuel de
ORCID: https://orcid.org/0000-0002-0654-5496 and Lumbreras Martin, Julio
ORCID: https://orcid.org/0000-0001-7105-8689
(2016).
High resolution emission estimation in hot-spots of Madrid (Spain).
In: "Industriales Research Meeting 2016", 20 abril 2016, Escuela Técnica Superior Ingenieros Industriales - UPM - Madrid. ISBN 978-84-16397-31-0. p. 111.
Title: | High resolution emission estimation in hot-spots of Madrid (Spain) |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Poster) |
Event Title: | Industriales Research Meeting 2016 |
Event Dates: | 20 abril 2016 |
Event Location: | Escuela Técnica Superior Ingenieros Industriales - UPM - Madrid |
Title of Book: | Industriales Research Meeting 2016 |
Date: | 2016 |
ISBN: | 978-84-16397-31-0 |
Subjects: | |
Faculty: | E.T.S.I. Industriales (UPM) |
Department: | Ingeniería Química Industrial y del Medio Ambiente |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Preview |
PDF
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview |
This work aims at obtaining high resolution NOx and PM10 emissions from road traffic at hot-spots in Madrid (Spain). For that, 12 1-hour representative scenarios are simulated with the traffic microsimulation model VISSIM. Measured traffic data (fluxes and fleet composition) are used as input for the model to obtain speed-time profiles for each vehicle. These profiles are used to predict representative emission factors for different vehicle classes in the VERSIT+micro model through the ENVIVER interface. Emission factors are compared with the ones of COPERT 4, a widely used average-speed model, as a preliminary model assessment. The results are strongly influenced by low average speeds due to saturated traffic situations.
Item ID: | 45800 |
---|---|
DC Identifier: | https://oa.upm.es/45800/ |
OAI Identifier: | oai:oa.upm.es:45800 |
Official URL: | http://www.industriales.upm.es/investigacion/irm16... |
Deposited by: | Memoria Investigacion |
Deposited on: | 09 May 2017 13:21 |
Last Modified: | 30 Nov 2022 09:00 |